Upload
debabrata-nayak
View
25
Download
1
Embed Size (px)
Citation preview
A COINTEGRATION STUDY AMONG
SELECTED FINANCIAL MARKETS OF MAJOR
G7 COUNTRIES (USA, JAPAN &CANADA),
EXCHANGE RATES OF INDIA & LIBOR
A Dissertation submitted for the degree of Master of Business Administration
2017
Submitted By
Debabrata Nayak
Roll No: PC 15MBA023
Under the Guidance of
Sri Sisir Ranjan Dash
Department of Professional Courses
Gangadhar Meher University
Sambalpur – 768004
Odisha
DECLARATION
1
I do hereby declare that the work incorporated in this dissertation is original and the dissertation
entitled “A COINTEGRATION STUDY AMONG SELECTED FINANCIAL MARKETS OF MAJOR G7 COUNTRIES (USA, JAPAN &CANADA), EXCHANGE RATES OF INDIA &LIBOR “submitted by me for
the MBA degree is the record of work carried out by me during the period from January to April 2017
under the guidance of Sri Sisir Ranjan Dash, Department of Professional Courses, Gangadhar Meher
University, Sambalpur – 768004 and has not been formed the basis for the award of any degree in this
or any other University .
I further declare that the material obtained from other sources has been duly acknowledged in
the dissertation.
(Debabrata Nayak)
Signature of the Candidate
Sri Sisir Ranjan DashMA (Economics), MBA, Ph. D. (Cont.), NETSr. Lecturer
2
Department Professional Courses
Gangadhar Meher University, Sambalpur – 768004, Odisha
Phone- 0663 2522543, 9439213351(M),
email : [email protected]
CERTIFICATE
This is to certify that the dissertation titled “A COINTEGRATION STUDY AMONG SELECTED FINANCIAL MARKETS OF MAJOR G7 COUNTRIES (USA, JAPAN &CANADA), EXCHANGE RATES OF INDIA & LIBOR”, submitted by Debabrata Nayak bearing Roll No: PC15MBA023 to Department of
Professional Courses, Gangadhar Meher University, Sambalpur – 768004, Odisha for a Master in
Finance and Control degree, is the product of an authentic research work undertaken by the candidate
under my supervision and guidance.
As far as I know, the materials in this work have not been submitted previously to any
University for obtaining any degree / diploma. I am satisfied that this dissertation adequately meets the
academic standards for a MBA Degree.
Sri Sisir Ranjan Dash
Supervisor
CONTENTS
Chapter Topic Page No.
3
1
1.1
1.2
1.3
1.4
1.5
1.6
Introduction
Motivation of the Study
What is the 'group of seven - g-7
Breaking down 'group of seven - g-7
Role of g-7
Expansion to g-8
Diminishing power and role
2
2.1
2.2
2.3
2.4
2.5
2.6
Profiling of Sample Countries (India, USA,Canada&Japan)
Chapter Objectives
India
USA
Canada
Japan
Conclusion
3
3.1
3.2
3.3
Review of Literature: A Theoretical Analysis
Chapter Objectives
Review of Literature
Research Questions
4
4.1
4.2
4.3
4.4
Research Designs
Chapter Objectives
Research Objectives
Type of Data Used
Type of Statistical Tools Used
CONTENTS
Chapter Topic Page No.
4
5
5.1
5.2
5.3
5.4
5.5
5.6
5.7
5.8
5.9
5.10
5.11
5.12
5.13
5.14
5.15
5.16
5.17
Analysis and Findings
Data Analysis
Unit root testing
Key findings – descriptive statistics (india and all stock indices)
Key findings – adf & pp test in level data
Key findings – adf & pp test - first difference data
Key findings – test of cointegration
Key findings – test of cointegration
Key findings – descriptive statistics (india and all exchange rates)
Key findings – adf & pp test in level data
Key findings – adf & pp test in first difference data
Key findings – test of cointegration
Key findings – test of cointegration
Key findings – descriptive statistics (india and all exchange rates)
Key findings – adf & pp test in level data
Key findings – adf & pp test in first difference data
Key findings – test of cointegration
Key findings – test of cointegration
6
6.1
Conclusion and Policy Implication
Conclusion
References
ABSTRACT
5
The group of seven industrialized countries most popularly known as G7 nations
comprises of USA, UK, Canada, France, Italy, Germany and Japan. They are not only famous
for the level of their economic development but also they are known for having the most
developed financial markets in the world. The very objective of financial liberalization in
India being the integration with the developed financial markets, the present study is an
attempt to detect integration by implementation of cointegration test prescribed by Engle and
Granger (1987). We have taken the major stock indices of the G7
countries(USA,CANADA&JAPAN) and implemented Augmented Dickey-Fuller test
(ss1979) of them with exchange rates of Indian currency with their respective currencies.
Additionally, we have also performed cointegration tests of stock prices with LIBOR . The
results of the study shows lack of cointgration among the selected time series which means
India is yet to have a fair degree of integration with the financial markets of the group of
seven industrialized countries (USA,CANADA&JAPAN).
Keywords: Cointegration, Unit Root, ADF Test, Engle & Granger Test.
6
CHAPTER 1
INTRODUCTION
CHAPTER 1: INTRODUCTION
7
1.1 MOTIVATION OF THE STUDY
Uncovered interest rate parity (henceforth UIP) suggests that any arbitrage opportunity
between interest-earning assets, of different economies but with similar characteristics, will
disappear due to exchange rate movements. A positive shock to the domestic interest rate vis-
à-vis the foreign interest rate will lead to the depreciation of the home currency and vice
versa. UIP plays a critical role in most exchange rate determination theories, such as the
monetary exchange rate model, Dornbusch’s (1976) overshooting model and Krugman’s
(1991) target zone model. Also central banks frequently count on this relationship for
anchoring exchange rate expectations in the economy (Kalyvitis and Skotida, 2010).
Given the crucial role played by UIP in exchange rate theories and exchange rate stabilization
policies, this relationship warrants more detailed investigation. Unambiguous evidence
supporting UIP will not only increase the confidence in the existing exchange rate models but
may also enhance the quality of monetary policy decision-making. This research is an effort
in this direction.
This paper extends the existing UIP literature by zooming in on important issues affecting
this relationship. First, I use a multi-currency setup to exploit cross currency correlation.
Some previous studies using Seemingly Unrelated Regression Equations (SURE), such as
Flood and Rose (1996) and Mark and Wu (1998), have exploited cross currency correlations.
However, most studies investigate UIP mostly bilaterally. In my view, bilateral studies
implicitly impose restrictions on the third-country effect, which may play an important role in
determining exchange rates. This is equally true for studies using a panel setup that ignores
cross sectional dependence. In a globalized world, any shock to the US debt market say, will
not only affect the Japanese debt market but also the Euro debt market. Therefore, an interest
rate shock in the US will not only affect the US Dollar and the Japanese Yen exchange rate or
the US Dollar and the Euro exchange rate, but also the Euro-Yen exchange rate. Studies on
UIP have mostly ignored this cross currency correlation.
Second, instead of using domestic interest rates I use London Interbank Offered Rates
(LIBOR). LIBOR is an indicative interbank rate for specific currencies based on the
nonbinding quotes in the London interbank market.LIBOR rates are widely used as
benchmarks in global financial transactions. The statistical evaluation supports LIBOR as a
substitute for domestic interest rates. Factor analysis shows that the LIBOR rates are defined
8
by only one factor, the domestic interest rates. Using LIBOR has several advantages. For
instance, the currency specific LIBOR rates have similar transaction costs for the assets
denominated in various currencies, while capital is perfectly mobile. Juselius and MacDonald
(2004), Harvey (2005) and Ichiue and Koyama (2007) have used LIBOR as a proxy for
Japanese domestic rates, arguing that the thin and heavily regulated Japanese money market
in the eighties and nineties was less reflective of Japan’s economic fundamentals.
Finally, following a suggestion of Moon and Perron (2005), we take as our null hypothesis
that UIP holds (the slope coefficient is unity). Often the null hypothesis tested is that the
slope coefficient is not different from zero, which on rejection provides support for the
alternative hypothesis that the slope coefficient is different from zero. According to Moon
and Perron (2005), such a test design has a strong bias towards the null hypothesis, which is
rejected only when there is a strong support against it. Moreover, when the null of a zero
slope coefficient cannot be rejected, it is difficult to conclude whether the theory is rejected
or the power of the test is low.
My estimates using monthly data for the period July 1997 to December 2016 support UIP
over the short-term horizon for currencies from advanced countries. Moreover, our currency
specific estimates show that the null hypothesis of a unit coefficient can generally not be
rejected at the 5% level of significance. However, for the Japanese Yen and the Swiss Franc,
the slope coefficients are negative. This finding is consistent with the argument put forward
by Bansal and Dahlquist (2000) and Ballie and Kalic (2006) that deviations from UIP appear
only when the US interest rate exceeds the foreign interest rate (‘state dependence’). Once we
incorporate the negative interest rate differential, UIP cannot be rejected for the Japanese Yen
and the Swiss Franc. Our results show that cross currency effects play an important role in
determining the exchange rate between currencies. Finally, we also find some support for
Dornbusch’s (1976) overshooting hypothesis for exchange rates, specifically for the Japanese
Yen and the Swiss Franc against the US Dollar, suggesting that ‘state dependence’ could also
be instrumental in explaining exchange rate overshooting.
1.2 WHAT IS THE 'GROUP OF SEVEN - G-7
The Group of Seven (G-7) is a forum of the world's seven most industrialized economies.
The G-6 was formed in 1975 and consisted of France, Germany, Italy, Japan, the United
9
States and the United Kingdom; Canada was invited to join the group in 1976. G-7 officials
meet to discuss international economic and monetary issues.
1.3 BREAKING DOWN 'GROUP OF SEVEN - G-7
The G-7 meets on an annual basis in a rotating member country. The president of the G-7
rotates on an annual basis among the member nations. France hosted the first meeting in
1975, featuring the original G-6 nations. The first meeting with all G-7 nations was held in
Puerto Rico in 1976, hosted by the United States.
1.4 ROLE OF G-7
The G-7's major role is to discuss and work through world issues. The seven nations
represent around 50% of the global economy. Through the years, the G-7 has been vocal
about preventing the overall global economy from entering a recession. The group has
discussed financial crises, monetary systems and major world crises, such as oil shortages.
Finance ministers from the membership countries often meet annually or more frequently to
work to improve the economies of member countries and the world.
1.5 EXPANSION TO G-8
In 1998, Russia was added to the G-7 as a full member, making the group of world leaders
the G-8. Russia was added shortly after the Cold War in a symbolic but highly contested
move. Former U.S. President Bill Clinton was one G-7 members who pushed for Russia to be
welcomed in to the group. Russia made the G-7 into the G-8 from 1998 to 2014. In 2014,
Russia was suspended from the group after the annexation of Crimea and tensions in Ukraine.
The original formation of the G-6 was made up of the major non-communist powers. The
inclusion of Russia was seen as a move to help the post-Soviet Union Russia have a say in
world issues.
1.6 DIMINISHING POWER AND ROLE
The G-7 has been criticized for not including emerging markets or representing enough of the
overall global economy. From time to time, the G-7 welcomes in guest nations that act as
non-members. The European Union has participated fully in the G-7 since 1981 as a non-
enumerated member. The G-20, created in 1999, includes all the members of the G-7 plus 12
additional countries. The 20th representative is the European Union. The G-20 includes
10
emerging markets, such as China, Brazil, India, Mexico and South Africa. With the
membership of emerging markets, the G-20 has a better firsthand look at global economic
growth.
11
CHAPTER -2
PROFILING OF SAMPLE
COUNTRIES
12
CHAPTER 2: PROFILING OF THE SAMPLE COUNTRIES
2.1 CHAPTER OBJECTIVES
Following the above discussion, as there are four countries i.e. India, USA, Canada, and
Japan who are members of G-7 countries (expect India) have been selected for the present
study, this chapter has been written with the following objectives:
1. To profile the sample countries i.e. India, USA, Canada, Japan on the basis of their
geography.
2. To profile the sample countries i.e. India, USA, Canada, Japan on the basis of their
demography.
3. To profile the sample countries i.e. India, USA, Canada, Japan on the basis of their
economy.
2.2 INDIA
India, officially the Republic of India is a country in South Asia. It is the seventh-largest
country by area, the second-most populous country (with over 1.2 billion people), and the
most populous democracy in the world. It is bounded by the Indian Ocean on the south, the
Arabian Sea on the southwest, and the Bay of Bengal on the southeast. It shares land borders
with Pakistan to the west China, Nepal, and Bhutan to the northeast; and Myanmar (Burma)
and Bangladesh to the east. In the Indian Ocean, India is in the vicinity of Sri Lanka and the
Maldives. India's Andaman and Nicobar Islands share a maritime border with Thailand and
Indonesia.
In 2015, the Indian economy was the world's seventh largest by nominal GDP and third
largest by purchasing power parity. Following market-based economic reforms in 1991, India
became one of the fastest-growing major economies and is considered a newly industrialised
country. However, it continues to face the challenges of poverty, corruption, malnutrition,
and inadequate public healthcare. A nuclear weapons state and regional power, it has the third
largest standing army in the world and ranks sixth in military expenditure among nations.
India is a federal constitutional republic governed under a parliamentary system and consists
of 29 states and 7 union territories. It is a pluralistic, multilingual and multi-ethnic society
and is also home to a diversity of wildlife in a variety of protected habitats.
13
2.2.1 GEOGRAPHY OF INDIA
India comprises the bulk of the Indian subcontinent, lying atop the Indian tectonic plate, and
part of the Indo-Australian Plate. India's defining geological processes began 75 million years
ago when the Indian plate, then part of the southern supercontinent Gondwana, began a north-
eastward drift caused by seafloor spreading to its south-west, and later, south and south-east.
Simultaneously, the vast Tethyn oceanic crust, to its northeast, began to subduct under the
Eurasian plate. These dual processes, driven by convection in the Earth's mantle, both created
the Indian Ocean and caused the Indian continental crust eventually to under-thrust Eurasia
and to uplift the Himalayas. Immediately south of the emerging Himalayas, plate movement
created a vast trough that rapidly filled with river-borne sedimentand now constitutes the
Indo-Gangetic Plain. Cut off from the plain by the ancient Aravalli Range lies the Thar
Desert.
The original Indian plate survives as peninsular India, the oldest and geologically most stable
part of India. It extends as far north as the Satpura and Vindhya ranges in central India. These
parallel chains run from the Arabian Sea coast in Gujarat in the west to the coal-rich Chota
Nagpur Plateau in Jharkhand in the east. To the south, the remaining peninsular landmass, the
Deccan Plateau, is flanked on the west and east by coastal ranges known as the Western and
Eastern Ghats; the plateau contains the country's oldest rock formations, some over one
billion years old. Constituted in such fashion, India lies to the north of the equator between 6°
44' and 35° 30' north latitude[g] and 68° 7' and 97° 25' east longitude.
A shining white snow-clad range, framed against a turquoise sky. In the middle ground, a
ridge descends from the right to form a saddle in the centre of the photograph, partly in
shadow. In the near foreground, a loop of a road is seen.
The Kedar Range of the Greater Himalayas rises behind Kedarnath Temple (Indian state of
Uttarakhand), which is one of the twelve jyotirlinga shrines.
India's coastline measures 7,517 kilometres (4,700 mi) in length; of this distance, 5,423
kilometres (3,400 mi) belong to peninsular India and 2,094 kilometres (1,300 mi) to the
Andaman, Nicobar, and Lakshadweep island chains. According to the Indian naval hydro
graphic charts, the mainland coastline consists of the following: 43% sandy beaches; 11%
rocky shores, including cliffs; and 46% mudflats or marshy shores.
14
Major Himalayan-origin rivers that substantially flow through India include the Ganges and
the Brahmaputra, both of which drain into the Bay of Bengal. Important tributaries of the
Ganges include the Yamuna and the Kosi; the latter's extremely low gradient often leads to
severe floods and course changes. Major peninsular rivers, whose steeper gradients prevent
their waters from flooding, include the Godavari, the Mahanadi, the Kaveri, and the Krishna,
which also drain into the Bay of Bengal;and the Narmada and the Tapti, which drain into the
Arabian Sea.Coastal features include the marshy Rann of Kutch of western India and the
alluvial Sundarbans delta of eastern India; the latter is shared with Bangladesh. India has two
archipelagos: the Lakshadweep, coral atolls off India's south-western coast; and the Andaman
and Nicobar Islands, a volcanic chain in the Andaman Sea.
The Indian climate is strongly influenced by the Himalayas and the Thar Desert, both of
which drive the economically and culturally pivotal summer and winter monsoons. The
Himalayas prevent cold Central Asian katabatic winds from blowing in, keeping the bulk of
the Indian subcontinent warmer than most locations at similar latitudes. The Thar Desert
plays a crucial role in attracting the moisture-laden south-west summer monsoon winds that,
between June and October, provide the majority of India's rainfall. Four major climatic
groupings predominate in India: tropical wet, tropical dry, subtropical humid, and montane.
2.2.2 DEMOGRAPHICS OF INDIA
India is the second most populated country in the world with nearly a fifth of the world's
population. According to the United Nations in July 2016, the population stood at
1,326,801,576.
India is projected to be the world's most populous country by 2022, surpassing China, its
population reaching 1.7 billion by 2050. Thus, India is expected to become the first political
entity in history to be home to more than 1.5 billion people. Its population growth rate is
1.2%, ranking 94th in the world in 2013. The Indian population reached the billion mark in
1998.
India has more than 50% of its population below the age of 25 and more than 65% below the
age of 35. It is expected that, in 2020, the average age of an Indian will be 29 years,
compared to 37 for China and 48 for Japan; and, by 2030, India's dependency ratio should be
just over 0.4.
15
India has more than two thousand ethnic groups, and every major religion is represented, as
are four major families of languages (Indo-European, Dravidian, Austroasiatic and Sino-
Tibetan languages) as well as two language isolates (the Nihali language spoken in parts of
Maharashtra and the Burushaski language spoken in parts of Jammu and Kashmir).
Further complexity is lent by the great variation that occurs across this population on social
parameters such as income and education. Only the continent of Africa exceeds the linguistic,
genetic and cultural diversity of the nation of India.
Table2.1 Comparative demographics of India
Category Global Ranking
Area7th
Population2nd
Population growth rate102nd of 212
Population density24th of 212
Male to Female ratio, at birth 12th of 214
2.2.3 ECONOMY OF INDIA
The Economy of India is the 6th largest in the world with a GDP (a year's goods and
services) of $2.30 trillion (U.S.). If we consider PPP (purchasing power parity: how much
that money can buy in India compared to other countries), the economy is third largest (worth
$8.52 trillion U.S.). However due to India's huge population, the economy was still only
$6,209 (considering PPP) per person per year in 2015.
India's economy includes agriculture, handicrafts, industries, and a lot of services. Services
are the main source of economic growth in India today, though two-thirds of Indian people
earn their living directly or indirectly through agriculture. In recent times, due to its large
number of well-educated people who can speak English, India became a pioneer in
information technology.
16
For most of India's independent history, it had strict government controls in many areas such
as telecommunications (communication over long distances), banking and foreign direct
investment. Since the early 1990s, India has slowly opened up its markets by reducing
government control on foreign trade and investment. This was started by Manmohan Singh
under the leadership of P.V.Narasimha Rao.From then, the Indian Economy grew at a rapid
pace.
The social and economic problems India faces are the increasing population, poverty, lack of
infrastructure (buildings, roads, etc.) and growing unemployment. Although poverty has gone
down 10% since the 1980s, a quarter of India's citizens still cannot pay for enough food.
2.3 USA
The United States of America, commonly referred to as the United States (U.S.) or America,
is a constitutional federal republic composed of 50 states, a federal district, five major self-
governing territories, and various possessions. Forty-eight of the fifty states and the federal
district are contiguous and located in North America between Canada and Mexico. The state
of Alaska is in the northwest corner of North America, bordered by Canada to the east and
across the Bering Strait from Russia to the west. The state of Hawaii is an archipelago in the
mid-Pacific Ocean. The U.S. territories are scattered about the Pacific Ocean and the
Caribbean Sea. Nine time zones are covered. The geography, climate and wildlife of the
country are extremely diverse.
At 3.8 million square miles (9.8 million km2) and with over 324 million people, the United
States is the world's third- or fourth-largest country by total area,third-largest by land area,
and the third-most populous. It is one of the world's most ethnically diverse and multicultural
nations, and is home to the world's largest immigrant population. The capital is Washington,
D.C. and the largest city is New York City; the other major metropolitan areas, all with
around five million or more inhabitants, are Los Angeles, Chicago, San Francisco, Boston,
Dallas, Philadelphia, Houston, Miami, and Atlanta.
Paleo-Indians migrated from Asia to the North American mainland at least 15,000 years ago.
European colonization began in the 16th century. The United States emerged from 13 British
colonies along the East Coast. Numerous disputes between Great Britain and the colonies
following the Seven Years' War led to the American Revolution, which began in 1775. On
July 4, 1776, during the course of the American Revolutionary War, the colonies
17
unanimously adopted the Declaration of Independence. The war ended in 1783 with
recognition of the independence of the United States by Great Britain, representing the first
successful war of independence against a European power. The current constitution was
adopted in 1788, after the Articles of Confederation, adopted in 1781, were felt to have
provided inadequate federal powers. The first ten amendments, collectively named the Bill of
Rights, were ratified in 1791 and designed to guarantee many fundamental civil liberties.
The United States embarked on a vigorous expansion across North America throughout the
19th century, displacing American Indian tribes, acquiring new territories, and gradually
admitting new states until it spanned the continent by 1848. During the second half of the
19th century, the American Civil War led to the end of legal slavery in the country. By the
end of that century, the United States extended into the Pacific Ocean, and its economy,
driven in large part by the Industrial Revolution, began to soar. The Spanish–American War
and World War I confirmed the country's status as a global military power. The United States
emerged from World War II as a global superpower, the first country to develop nuclear
weapons, the only country to use them in warfare, and a permanent member of the United
Nations Security Council. The end of the Cold War and the dissolution of the Soviet Union in
1991 left the United States as the world's sole superpower. The U.S. is a founding member of
the United Nations, World Bank, International Monetary Fund, Organization of American
States (OAS), and other international organizations.
The United States is a highly developed country, with the world's largest economy by
nominal GDP and second-largest economy by PPP. It ranks highly in several measures of
socioeconomic performance, including average wage, human development, per capita GDP,
and productivity per person. While the U.S. economy is considered post-industrial,
characterized by the dominance of services and knowledge economy, the manufacturing
sector remains the second-largest in the world. Though its population is only 4.3% of the
world total, the United States accounts for nearly a quarter of world GDP and over a third of
global military spending, making it the world's foremost economic and military power. The
United States is a prominent political and cultural force internationally, and a leader in
scientific research and technological innovations.
18
2.3.1 GEOGRAPHY OF USA
The term "United States", when used in the geographical sense, is the contiguous United
States, the state of Alaska, the island state of Hawaii, the five insular territories of Puerto
Rico, Northern Mariana Islands, U.S. Virgin Islands, Guam, and American Samoa, and minor
outlying possessions. The United States shares land borders with Canada and Mexico and
maritime borders with Russia, Cuba, and the Bahamas in addition to Canada and Mexico.
From 1989 through 1996, the total area of the US was listed as 9,372,610 km2 (3,618,780 sq
mi) (land + inland water only). The listed total area changed to 9,629,091 km2 (3,717,813 sq
mi) in 1997 (Great Lakes area and coastal waters added), to 9,631,418 km2 (3,718,711 sq mi)
in 2004, to 9,631,420 km2 (3,718,710 sq mi) in 2006, and to 9,826,630 km2 (3,794,080 sq
mi) in 2007 (territorial waters added). Currently, the CIA World Factbook gives 9,826,675
km2 (3,794,100 sq mi), the United Nations Statistics Division gives 9,629,091 km2
(3,717,813 sq mi), and the Encyclopædia Britannica gives 9,522,055 km2 (3,676,486 sq mi)
(Great Lakes area included but not coastal waters). These sources consider only the 50 states
and the Federal District, and exclude overseas territories.
By total area (water as well as land), the United States is either slightly larger or smaller than
the People's Republic of China, making it the world's third or fourth largest country. China
and the United States are smaller than Russia and Canada in total area, but are larger than
Brazil. By land area only (exclusive of waters), the United States is the world's third largest
country, after Russia and China, with Canada in fourth. Whether the US or China is the third
largest country by total area depends on two factors: (1) The validity of China's claim on
Aksai Chin and Trans-Karakoram Tract. Both these territories are also claimed by India, so
are not counted; and (2) How US calculates its own surface area. Since the initial publishing
of the World Factbook, the CIA has updated the total area of United States a number of
times.
2.3.2 DEMOGRAPHICS OF USA
As of January 23, 2017, the United States has a total resident population of 324,420,000,
making it the third most populous country in the world. It is very urbanized, with 81%
residing in cities and suburbs as of 2014 (the worldwide urban rate is 54%). California and
Texas are the most populous states, as the mean centre of U.S. population has consistently
shifted westward and southward. New York City is the most populous city in the United
19
States. The total fertility rate in the United States estimated for 2015 is 1.84 children per
woman, which is below the replacement fertility rate of approximately 2.1. Compared to
other Western countries, in 2012, U.S. fertility rate was lower than that of France (2.01),
Australia (1.93) and the United Kingdom (1.92).However, U.S. population growth is among
the highest in industrialized countries, because the differences in fertility rates are less than
the differences in immigration levels, which are higher in the U.S. The United States Census
Bureau shows a population increase of 0.75% for the twelve-month period ending in July
2012. Though high by industrialized country standards, this is below the world average
annual rate of 1.1%.
There were about 125.9 million adult women in the United States in 2014. The number of
men was 119.4 million. At age 85 and older, there were almost twice as many women as men
(4 million vs. 2.1 million). People under 21 years of age made up over a quarter of the U.S.
population (27.1%), and people age 65 and over made up one-seventh (14.5%). The national
median age was 37.8 years in 2015.
The United States Census Bureau defines White people as those "having origins in any of the
original peoples of Europe, the Middle East, or North Africa. It includes people who reported
"White" or wrote in entries such as Irish, German, Italian, Lebanese, Near Easterner, Arab, or
Polish." Whites constitute the majority of the U.S. population, with a total of about
245,532,000 or 77.7% of the population as of 2013. Non-Hispanic whites make up 62.6% of
the country's population. Despite major changes due to immigration since the 1960s, and the
higher birth-rates of nonwhites, the overall current majority of American citizens are still
white, and English-speaking, though regional differences exist.
The American population almost quadrupled during the 20th century—at a growth rate of
about 1.3% a year—from about 76 million in 1900 to 281 million in 2000. It reached the 200
million mark in 1968, and the 300 million mark on October 17, 2006. Population growth is
fastest among minorities as a whole, and according to the Census Bureau's estimation for
2012, 50.4% of American children under the age of 1 belonged to minority groups.
Hispanic and Latino Americans accounted for 48% of the national population growth of 2.9
million between July 1, 2005, and July 1, 2006. Immigrants and their U.S.-born descendants
are expected to provide most of the U.S. population gains in the decades ahead.
20
The Census Bureau projects a U.S. population of 417 million in 2060, which is a 38%
increase from 2007 (301.3 million). However, the United Nations projects a U.S. population
of 402 million in 2050, an increase of 32% from 2007. In an official census report, it was
reported that 54.4% (2,150,926 out of 3,953,593) of births in 2010 were non-Hispanic white.
This represents an increase of 0.34% compared to the previous year, which was 54.06%.
2.3.3 ECONOMY OF USA
The United States is the world's largest national economy in nominal terms and second
largest according to purchasing power parity (PPP), representing 22% of nominal global GDP
and 17% of gross world product (GWP). The United States' GDP was estimated to be
$17.914 trillion as of Q2 2015. The U.S. dollar is the currency most used in international
transactions and is the world's foremost reserve currency, backed by its science and
technology, its military, the full faith of the US government to reimburse its debts, its central
role in a range of international institutions since World War II and the petrodollar system.
Several countries use it as their official currency, and in many others it is the de facto
currency. The United States has a mixed economy and has maintained a stable overall GDP
growth rate, a moderate unemployment rate, and high levels of research and capital
investment. Its seven largest trading partners are Canada, China, Mexico, Japan, Germany,
South Korea, and the United Kingdom.
The US has abundant natural resources, a well-developed infrastructure, and high
productivity. It has the world's ninth-highest per capita GDP (nominal) and tenth-highest per
capita GDP (PPP) as of 2013. Americans have the highest average household and employee
income among OECD nations, and in 2010 had the fourth highest median household income,
down from second highest in 2007. It has been the world's largest national economy (not
including colonial empires) since at least the 1890s.
The U.S. is the world's third largest producer of oil and natural gas. It is one of the largest
trading nations in the world as well as the world's second largest manufacturer, representing a
fifth of the global manufacturing output. The US not only has the largest internal market for
goods, but also dominates the trade in services. US total trade amounted to $4.93T in 2012.
Of the world's 500 largest companies, 128 are headquartered in the US.
The United States has one of the world’s largest and most influential financial markets. The
New York Stock Exchange is by far the world's largest stock exchange by market
21
capitalization. Foreign investments made in the US total almost $2.4 trillion, while American
investments in foreign countries total over $3.3 trillion. The economy of the U.S. leads in
international ranking on venture capital and Global Research and Development funding.
Consumer spending comprises 71% of the US economy in 2013. The United States has the
largest consumer market in the world, with a household final consumption expenditure five
times larger than Japan's. The labour market has attracted immigrants from all over the world
and its net migration rate is among the highest in the world. The U.S. is one of the top-
performing economies in studies such as the Ease of Doing Business Index, the Global
Competitiveness Report, and others.
The US economy went through an economic downturn following the financial crisis of 2007–
08, with output as late as 2013 still below potential according to the Congressional Budget
Office. The economy, however, began to recover in the second half of 2009, and as of
November 2015, unemployment had declined from a high of 10% to 5%.
In December 2014, public debt was slightly more than 100% of GDP. Domestic financial
assets totalled $131 trillion and domestic financial liabilities totalled $106 trillion.
2.4 CANADA
Canada is a country in the northern half of North America. Its ten provinces and three
territories extend from the Atlantic to the Pacific and northward into the Arctic Ocean,
covering 9.98 million square kilometres (3.85 million square miles), making it the world's
second-largest country by total area and the fourth-largest country by land area. Canada's
border with the United States is the world's longest land border. The majority of the country
has a cold or severely cold winter climate, but southerly areas are warm in summer. Canada is
sparsely populated, the majority of its land territory being dominated by forest and tundra and
the Rocky Mountains. It is highly urbanized with 82 per cent of the 35.15 million people
concentrated in large and medium-sized cities, many near the southern border. One third of
the population lives in the three largest cities: Toronto, Montreal and Vancouver. Its capital is
Ottawa, and other major urban areas include Calgary, Edmonton, Quebec City, Winnipeg and
Hamilton.
Various aboriginal peoples had inhabited what is now Canada for thousands of years prior to
European colonization. Beginning in the 16th century, British and French claims were made
on the area, with the colony of Canada first being established by the French in 1534. As a
22
consequence of various conflicts, Great Britain gained and lost territories within British
North America until it was left, in the late 18th century, with what mostly geographically
comprises Canada today. Pursuant to the British North America Act, on July 1, 1867, the
colonies of Canada, New Brunswick, and Nova Scotia joined to form the semi-autonomous
federal Dominion of Canada. This began an accretion of provinces and territories to the
mostly self-governing Dominion to the present ten provinces and three territories forming
modern Canada.
In 1931, Canada achieved near total independence from the United Kingdom with the Statute
of Westminster 1931, but at the time, Canada decided to allow the British Parliament to
temporarily retain the power to amend Canada's constitution, on request from the Parliament
of Canada. With the Constitution Act 1982, Canada took over that authority (as the
conclusion of Patriation), removing the last remaining ties of legal dependence on the
Parliament of the United Kingdom, giving the country full sovereignty.
Canada is a federal parliamentary democracy and a constitutional monarchy, with Queen
Elizabeth II being the head of state. The country is officially bilingual at the federal level. It
is one of the world's most ethnically diverse and multicultural nations, the product of large-
scale immigration from many other countries. Its advanced economy is the eleventh largest in
the world, relying chiefly upon its abundant natural resources and well-developed
international trade networks. Canada's long and complex relationship with the United States
has had a significant impact on its economy and culture.
Canada is a developed country and has the tenth highest nominal per capita income globally
as well as the ninth highest ranking in the Human Development Index. It ranks among the
highest in international measurements of government transparency, civil liberties, quality of
life, economic freedom, and education. Canada is a Commonwealth realm member of the
Commonwealth of Nations, a member of the Francophonie, and part of several major
international and intergovernmental institutions or groupings including the United Nations,
the North Atlantic Treaty Organization, the G8, the Group of Ten, the G20, the North
American Free Trade Agreement and the Asia-Pacific Economic Cooperation forum. Canada
is an influential nation in the world, primarily due to its inclusive values, years of prosperity
and stability, stable economy, and efficient military.
23
2.4.1 GEOGRAPHY OF CANADA
The geography of Canada describes the geographic features of Canada, the world's second
largest country in total area.
Situated in northern North America (constituting 41% of the continent's area), Canada spans
a vast, diverse territory between the North Pacific Ocean to the west and the North Atlantic
Ocean to the east and the Arctic Ocean to the north (hence the country's motto "From sea to
sea"), with the United States to the south (contiguous United States) and northwest (Alaska).
Greenland is to the northeast; off the southern coast of Newfoundland lies Saint-Pierre and
Miquelon, an overseas collectively of France. Since 1925, Canada has claimed the portion of
the Arctic between 60°W and 141°W longitude to the North Pole; however, this claim is
contested. While the magnetic North Pole lies within the Canadian Arctic territorial claim as
of 2011, recent measurements indicate it is moving towards Siberia.
Covering 9,984,670 km2 or 3,855,100 sq mi (land: 9,093,507 km2 or 3,511,023 sq mi;
freshwater: 891,163 km2 or 344,080 sq mi), Canada is slightly less than three-fifths as large
as Russia and slightly smaller than Europe. In total area, Canada is slightly larger than both
the U.S. and China; however, Canada ranks fourth in land area (i.e. total area minus the area
of lakes and rivers)—China is 9,326,410 km2 (3,600,950 sq mi) and the U.S. is 9,161,923
km2 (3,537,438 sq mi)[3]
The population of Canada, some 35,749,600 as of April 2015, is concentrated in the south in
proximity to its border with the contiguous U.S.; with a population density of 3.5 people per
square kilometre (9.1/sq mi), it is one of the most sparsely populated countries in the world.
The northernmost settlement in Canada—and in the world—is Canadian Forces Station
(CFS) Alert (just north of Alert, Nunavut) on the northern tip of Ellesmere Island at 82°30′N
62°19′W, just 834 kilometres (518 mi) from the North Pole.
2.4.2 DEMOGRAPHICS OF CANADA
The last century has seen vast changes in Canada's population. With the notable exception of
the post-war baby boom (1946 to 1965), there has been a steady decline in fertility,
accompanied by a decrease in the death rate and an increase in life expectancy. These
changes resulted in the aging of Canada's population. Evidence of this demographic transition
can be seen in the median age of Canadians, that is, the age that divides the population in
24
half. In 1956, the median age in Canada was 27.2 years1. It climbed to 39.5 in 20062 and is
projected to reach 46.9 by 20561.
Three indicators illustrate the aging of Canada's population: life expectancy, population
composition (based on population estimates), and demographic dependency ratios. Life
expectancy reflects mortality, and therefore, levels of health and disease in the population.
As in other developed countries, life expectancy has increased in Canada and is projected to
continue to rise. In 2005, life expectancy was 78.0 years for males and 82.7 years for
females3. This marks substantial gains since 1956 when life expectancy was 67.7 years and
73.0 years for males and females, respectively4 and according to projections (based on a
medium mortality assumption), males born in 2031 will have an average life expectancy of
81.9 years, and females, 86.0 years1.
The composition of Canada's population also reflects the demographic shift to an older
population with seniors accounting for an ever-increasing proportion of the population. In
2006, 13.7% of Canadians were 65 or older, up from 7.7% in 19562. It is projected that by
2056 seniors will comprise between 25% and 30% of the Canadian population5. While the
proportion of seniors is increasing, children and young people comprise a decreasing portion
of the Canadian population. Mid last century, those aged 19 or younger made up 37% of the
population compared with 24% in 20066. It is projected that the proportion of youth in
Canada will continue to decline.
2.4.3 ECONOMY OF CANADA
Canada has the 10th (nominal) or 15th-largest (PPP) economy in the world (measured in US
dollars at market exchange rates), is one of the world's wealthiest nations, and is a member of
the Organization for Economic Co-operation and Development (OECD) and Group of Seven
(G7). As with other developed nations, the Canadian economy is dominated by the service
industry, which employs about three quarters of Canadians. Canada is unusual among
developed countries in the importance of the primary sector, with the logging and oil
industries being two of Canada's most important. Canada also has a sizable manufacturing
sector, based in Central Canada, with the automobile industry and aircraft industry being
especially important. With a long coastline, Canada has the 8th largest commercial fishing
and seafood industry in the world. Canada is one of the global leaders of the entertainment
software industry.
25
With the exception of a few big island nations in the Caribbean, Canada is the only major
parliamentary democracy in the western hemisphere. As a result, Canada has developed its
own social and political institutions, distinct from most other countries in the world. Though
the Canadian economy is closely integrated with the American economy, it has developed
unique economic institutions.
The Canadian economic system generally combines elements of private enterprise and public
enterprise. Many aspects of public enterprise, most notably the development of an extensive
social welfare system to redress social and economic inequities, were adopted after the end of
World War Two in 1945.
Canada has a private to public (Crown) property ratio of 60:40 and one of the highest levels
of economic freedom in the world. Today Canada closely resembles the U.S. in its market-
oriented economic system and pattern of production. As of February 2013, Canada's national
unemployment rate stood at 7.0%, as the economy continues its recovery from the effects of
the financial crisis of 2007–08. In May 2010, provincial unemployment rates varied from a
low of 5.0% in Saskatchewan to a high of 13.8% in Newfoundland and Labrador. According
to the Forbes Global 2000 list of the world's largest companies in 2008, Canada has 69
companies in the list, ranking 5th next to France.
2.5 JAPAN
Japan) is a sovereign island nation in Eastern Asia. Located in the Pacific Ocean, it lies off
the eastern coast of the Asia Mainland (east of China, Korea, Russia) and stretches from the
Sea of Okhotsk in the north to the East China Sea and Taiwan in the southwest.
Japan is a stratovolcanic archipelago consisting of about 6,852 islands. The four largest are
Honshu, Hokkaido, Kyushu and Shikoku, which make up about ninety-seven percent of
Japan's land area and often are referred to as home islands. The country is divided into 47
prefectures in eight regions. Hokkaido being the northernmost prefecture and Okinawa being
the southernmost one. The population of 127 million is the world's tenth largest. Japanese
people make up 98.5% of Japan's total population. Approximately 9.1 million people live in
the core city of Tokyo, the capital of Japan.
Archaeological research indicates that Japan was inhabited as early as the Upper Paleolithic
period. The first written mention of Japan is in Chinese history texts from the 1st century AD.
26
Influence from other regions, mainly China, followed by periods of isolation, particularly
from Western Europe, has characterized Japan's history. From the 12th century until 1868,
Japan was ruled by successive feudal military shoguns who ruled in the name of the Emperor.
Japan is a member of the UN, the OECD, the G7, the G8, and the G20 and is considered a
great power. The country has the world's third-largest economy by nominal GDP and the
world's fourth-largest economy by purchasing power parity. It is also the world's fourth-
largest exporter and fourth-largest importer. The country benefits from a highly skilled
workforce and is among the most highly educated countries in the world, with one of the
highest percentages of its citizens holding a tertiary education degree.
Although Japan has officially renounced its right to declare war, it maintains a modern
military with the world's eighth-largest military budget, used for self-defense and
peacekeeping roles. Japan is a developed country with a very high standard of living and
Human Development Index. Its population enjoys the highest life expectancy and the third
lowest infant mortality rate in the world.
2.5.1 GEOGRAPHY OF JAPAN
Japan is an island nation in East Asia comprising a stratovolcanic archipelago extending
along the continent's Pacific coast. It lies between 24° to 46° north latitude and from 123° to
146° east longitude. Japan is southeast of the Russian Far East, separated by the Sea of
Okhotsk; slightly east of Korea, separated by the Sea of Japan; and east-northeast of China
and Taiwan, separated by the East China Sea. The closest neighboring country to Japan is the
Russian Federation. The major islands, sometimes called the "Home Islands", are (from north
to south) Hokkaido, Honshu (the "mainland"), Shikoku and Kyushu. There are 6,852 islands
in total,[2] including the Nansei Islands, the Nanpo Islands and islets, with 430 islands being
inhabited and others uninhabited. In total, as of 2006, Japan's territory is 377,923.1 km2
(145,916.9 sq mi), of which 374,834 km2 (144,724 sq mi) is land and 3,091 km2 (1,193 sq
mi) water.
2.5.2 DEMOGRAPHICS OF JAPAN
The demographic features of the population of Japan include population density, ethnicity,
education level, health of the populace, economic status, religious affiliations and other
aspects regarding the population.
27
Based on the census from October 2010, Japan's population was at its peak at 128,057,352.
As of October 1, 2015, the population was 127,094,745 making it the world's tenth-most
populous country at the time. It had declined by 0.8 percent from the time of the census five
years ago, the first time it had declined since the 1945 census. Mexico's population was
slightly less than Japan's in 2015, with projections suggesting Mexico will soon pass Japan.
Current statistics do not indicate much difference in population numbers. Japan's population
size can be attributed to high growth rates experienced during the late 19th and early 20th
centuries.
Since 2010, Japan has experienced net population loss due to falling birth rates and almost no
immigration, despite having one of the highest life expectancies in the world, at 85.00 years
as of 2016 (it was 81.25 as of 2006. Using the annual estimate for October of each year, the
population peaked in 2008 at 128,083,960 and had fallen 285,256 by October 2011. Japan's
population density was 336 people per square kilometre.
Based on 2012 data from the National Institute of Population and Social Security Research,
Japan's population will keep declining by about one million people every year in the coming
decades, which will leave Japan with a population of 42 million in 2110. By that time, more
than 40% of the population is expected to be over age 65 in 2060. In 2012, the population had
for six consecutive years declined by 212,000, the largest drop on record since 1947 and also
a record low of 1.03 million births. In 2014, a new record of population drop happened with
268,000 people. In 2013, more than 20 percent of the population are age 65 and over.
The population ranking of Japan dropped from 7th to 8th in 1990, to 9th in 1998, and to 10th
in the early 21st century. In 2015 it dropped further to 11th place, according to both the UN
and PRB. Over the period of 2010–2015, the population shrank by almost a million.
Japan's population density was 336 people per square kilometre (874 people per square mile)
according to the UN World Populations Prospects as of July 2005. It ranks 37th in a list of
countries by population density, ranking directly above India (336 per km2) and directly
below Belgium (341 per km2). Between 1955 and 1989, land prices in the six largest cities
increased 15,000% (+12% a year). Urban land prices generally increased 40% from 1980 to
1987; in the six largest cities, the price of land doubled over that period. For many families,
this trend put housing in central cities out of reach.
28
Japan has a high population concentration in urban areas on the plains since 75% of Japan’s
land area is made up of mountains, and also Japan has a forest cover rate of 68.5% (the other
developed countries with such a high forest cover percentage are only Finland and Sweden).
The 2010 census shows 90.7% of the total Japanese population live in cities.
2.5.3ECONOMY OF JAPAN
The economy of Japan is the third-largest in the world by nominal GDP and the fourth-largest
by purchasing power parity (PPP). and is the world's second largest developed economy.
According to the International Monetary Fund, the country's per capita GDP (PPP) was at
$37,519, the 28th highest in 2014, down from the 22nd position in 2012. Japan is a member
of the G7. The Japanese economy is forecasted by the Quarterly Tankan survey of business
sentiment conducted by the Bank of Japan. Nikkei 225 presents the monthly report of top
Blue chip (stock market) equities on Japan Exchange Group. Due to a volatile currency
exchange rate, Japan's GDP as measured in dollars fluctuates widely. Accounting for these
fluctuations through use of the Atlas method, Japan is estimated to have a GDP per capita of
around $38,490.
Japan is the world's third largest automobile manufacturing country, has the largest
electronics goods industry, and is often ranked among the world's most innovative countries
leading several measures of global patent filings. Facing increasing competition from China
and South Korea, manufacturing in Japan today now focuses primarily on high-tech and
precision goods, such as optical instruments, hybrid vehicles, and robotics. Besides the Kantō
region, the Kansai region is one of the leading industrial clusters and manufacturing centres
for the Japanese economy. Japan is the world's largest creditor nation Japan generally runs
an annual trade surplus and has a considerable net international investment surplus. As of
2010, Japan possesses 13.7% of the world's private financial assets (the third largest in the
world) at an estimated $13.5 trillion. As of 2015, 54 of the Fortune Global 500 companies are
based in Japan, down from 62 in 2013.
Japan has the highest ratio of public debt to GDP of any developed nation. The Japanese
economy faces considerable challenges posed by a dramatically declining population.
Statistics showed an official decline for the first time in 2015, while projections suggest that
it will continue to fall from 127 million down to below 100 million by the middle of the 21st
century.
29
2.6 CONCLUSION
From the above discussion, it is evident that the selected countries i.e. India, USA,
Canada and Japan are equally competent on the basis of their geography, demography and
economy. Hence, comparative study of these countries worth a lot.
30
CHAPTER 3
REVIEW OF LITERATURE
31
CHAPTER 3: REVIEW OF LITERATURE
3.1 CHAPTER OBJECTIVES
There are many studies that have been conducted both in our country and overseas to
measure the cointegration between Indian Market and foreign markets. hence the present
chapter has been undertaken with the following objectives:
1. To review the existing extant literature on studies conducted in the past to measure the
cointegration between Indian Market and foreign markets
2. To develop the research questions out of review of extant literature.
3.2 REVIEW OF LITERATURESince the influential work of Engle and Granger (1987), cointegration has emerged as a
powerful technique for investigating common trends in multivariate time series, providing a
sound methodology for modelling both long run and short run dynamics in a system. The
interest in cointegration literature has increased significantly as a result of this work and has
given rise to other important contributions to the subject.
Ghosh et al (1999) purports that financial theory hypothesizes that in the long run, certain
pairs of financial time-series data are projected to move together. Ghosh et al also claim that
short run deviations will be brought back to equilibrium due to investors’ tastes and
preferences, market forces and government regulations. However, it is the understanding of
how these short-term movements are related to each other that will help to understand the
economic relationships between the markets in our study more completely.
Lucas (1997) and Alexander (1999) demonstrate applications of cointegration analysis in
their studies, in relation to trading strategies such as index tracking and arbitrage, as well as
to portfolio asset allocation. Lucas and Alexander suggest index tracking and portfolio
optimization based on cointegration rather than correlation alone may result in higher asset
returns. Accordingly, if Lucas and Alexander’s claim is valid, our study of cointegration
between the US and European markets could be used to assist in addressing index tracking
and portfolio optimization. Adding to the current literature in this area will provide for more
proof, for or against the use of cointegration in this manner from an international
diversification standpoint.
32
Maneschiold (2006) analyzed cointegration between Baltic stock markets and major
international stock markets, including UK, France, Germany, US and Japan. The
cointegration analysis indicated that German markets dominate the long-term relationship
with Baltic stock markets. Furthermore, the overall results suggest that international investors
can obtain a long term benefit from diversification due to the absence of cointegration of
Baltic and international capital markets. This study concentrated more on the emerging Baltic
Markets and their movements compared to the major international markets using
cointegration, whereas our study will focus on the US versus larger established European
Markets, incorporating data over the past 8 years.
Kasibhatla et al (2006) study cointegration between major West European stock markets
(CAC40, DAX30, FTSE100). Their findings supported the notion that there is cointegration
between the markets, and identified the CAC40 as being weakly exogenous. There can be
excess returns in the short term by diversifying internationally, however due to the long run
cointegration, Kasibhatla et al claim that there is no benefit of long-term international
portfolio diversification (between CAC40, DAX30, FTSE100). This study, to the best of our
research and knowledge, is the closest to our own focus area – namely, studies that have been
conducted with the major indices and their possible cointegration relationships. Kasibhatla et
al employ the Johansen Cointegration Methodology mainly because they found it was the
most common method used to study long-term cointegration relationships along with their
references to support this claim.
Another study closely related to our paper is Yang et al’s (2003) analysis of cointegration
between US and international stock markets over a 32 year sample period – Yang et al’s
finding was that there was no long-run pattern of cointegration. They do see an increase of
cointegration in the latter part of their sample period, but conclude that due to the weak
cointegration overall, there are diversification benefits to US investors from splitting their
equity portfolio between the countries studied. These results are based on analysis of the
larger markets including Japan, United Kingdom, and Germany. They did however find an
increasing integration between the US and many smaller markets. Their data consisted of
time-series from 1970 to 2001. Our study is data from 2001 to 2009 and as mentioned before,
during a time of changing capital markets, increased globalization, and a huge negative shock
to the markets (the Global Financial Crisis turmoil).
33
Allen and MacDonald (1995) analyzed the benefits of international diversification to
Australian investors, using monthly index data for 16 countries. Both the Engle-Granger
(1987) and Johansen (1988) cointegration tests were used to measure these diversification
benefits. As was the case in other selected studies such as Taylor and Tonks (1989) and Allen
and MacDonald (1995) found that different cointegration testing methods yielded different
results in certain cases. Also, evidence of cointegration between the analyzed data subsets
was found, indicating that there is little benefit to the investor by diversifying internationally.
Taylor and Tonks (1989) studied the impact of abolition of U.K. exchange controls, and the
effect of this on the integration of U.K. and overseas stock markets. They concluded that
there appears to be no long-run gain from diversification owing to the apparent increase in
the degree to which markets move together.
Fadhlaoui et al (2008) analyzed the short and long-run relationships between seven developed
equity markets (US, Canada, UK, France, Germany, Italy and Japan) with Czech-Republic,
Hungary and Poland to evaluate evidence of cointegration. As with our study, this was done
to identify potential international diversification benefits. In the short-term, it was found that
there was a lower level of cointegration between the aforementioned developed equity
markets, and those of Central Europe. This short-term analysis was performed using the
correlation matrix, whereas the latter long-term analysis employed the use of the Johansen
cointegration test. The Johansen test revealed no evidence of a long-term relationship
(cointegration) between the two groups of markets. It can therefore be said that the increased
financial integration between equity markets internationally has not detracted from the
potential diversification benefits available to investors in this particular market.
Bessler and Yang (2003) conducted a study into the dynamic structure of nine major stock
markets (Australia, Japan, Hong Kong, UK, Germany, France, Switzerland, USA and
Canada) using Johansen’s maximum-likelihood model, and found only one cointegrating
vector. They infer that the US market is the only stock market that has a long-term
contribution to the price levels in other markets.
Onay (2007) suggests that there are long-term diversification opportunities in Bulgaria and
Romania due to the lack of cointegration with the European Union. This study is
concentrated around the accession negotiations with the EU, and demonstrates the fact that
diversification benefits are negatively related to the underlying level of cointegration between
markets. Onay highlights the possible benefits of investing in those countries that are new
34
entrants or prospective entrants to the EU, due to their lack of cointegration with developed
markets, supporting possible effects of the European Union on cointegration.
3.3 RESEARCH QUESTION
From the review extant of literature, the following research question has been developed
under the present study:
1. India is financially integrated or at least in the process of getting financially integrated with
the financial markets of G7 countries (USA Canada, Japan)?
2. If yes, are there any empirical evidences?
35
CHAPTER 4
REAEARCH DESIGN
36
CHAPTER 4: REASEARCH DESIGN
4.1 CHAPTER OBJECTIVES
The present chapter has been undertaken with the following objectives:
1. To narrate the set of research objectives.
2. To identify and explain in set of statistical tools to be used in the present study in order to
best satisfy the research objectives
4.2 REASEARCH OBJETIVES
From the review of literature, the following specific research objectives have been formed for
the present study:
1. To identify the financial markets of G7 countries (USA Canada, Japan) and the variables
best representing them.
2. To detect whether Indian financial market is integrated with the financial markets of G7
countries (USA Canada, Japan).
4.3 TYPE OF DATA USED
My sample period is January 1997 - December 2016. I use the following currencies: the
Japanese Yen, the US Dollar and the Canadian Dollar against the Indian Rupees. We have
acquired monthly data on the exchange rates from the International Monetary Fund (IMF).
For the interest rates, we use monthly LIBOR rates for the above currencies, with short
maturities. The LIBOR interest rates data can be accessed from the British Bankers
Association (BBA).
4.4 TYPE OF STATISTICAL TOOLS USED
The economic literature surrounding the co-movements of stock markets agrees on neither
the existence nor the extent of linkages between international stock markets. This can be
attributable to different choices of markets, sample periods, frequency of observations and
different methodologies. Furthermore, the literature surrounding cointegration analysis does
not include a study on the markets we are testing. However, reviews of past studies provide
37
us with insight, guidance and reasoning as to what cointegration methods should be used in
our study.
4.4.1 INTRODUCTION OF COINTEGRATION
Cointegration analysis can be used to evaluate the co-movement of a long-term asset
price within an equilibrium model. Firstly, cointegration analysis establishes a long term
relationship by calculating long-run equilibrium asset prices. Next, correlations within an
error correction model are estimated. Therefore, stochastic trends common to the respective
time series are found prior to the cointegration analysis.
If the cointegration analysis indicates that there is a cointegration vector, we infer that the
tested series will not drift apart in the long-term, and will revert to equilibrium levels
following any short-term drift that may take place. In the context of this study, the presence
of a cointegrating vector means that diversification benefits available to investors are
reduced. In contrast, if no cointegrating vector is found, we infer that diversifying a stock
portfolio amongst the markets in question does provide benefit.
Cointegration analysis was introduced by Engle and Granger in the early 1980s, with
improvements and additions made in subsequent years. Cointegration is a modelling
process that incorporates non-stationary with both long-term relationships and short-term
dynamics. To examine time series in financial data using cointegration, the time series in its
level form should be non-stationary and integrated of order 1, written as I(1). Integrated of
order 1 means the series becomes stationary after differentiating it once. Variables are said to
be cointegrated if they are I (1) and have a linear combination which is stationary without the
need to differentiate the data.
There are two main cointegration methods that have consistently been used throughout past
studies which are: 1) Engle-Grangers Two Step Estimation Method; and 2) Johansen’s
Maximum Likelihood Method using either the Trace Statistic and/or the Maximum
Eigenvalue Statistic.
In this study I use the Johansen’s Method due to reasons mainly relating to the shortfalls of
Engle-Grangers Two Step Estimation Method. The Two Step Estimation Method is very easy
to run, however it needs a larger sample size to avoid possible estimation errors and can only
be run on a maximum of two variables (Brooks 2008). It also doesn’t allow for hypothesis
38
testing on the cointegrating relationships themselves, unlike Johansen’s method (Brooks
2008). Since we are also examining a total of 4 markets, we want the ability to examine them
in a multivariate framework, allowing for the possible discovery of more than one
cointegrating vector, which the Engle-Granger Method cannot accomplish. In this situation,
Johansen’s Method better suits the data, due the fact that it can examine more than two test
variables, and can treat all test variables as endogenous.
4.4.2 UNIT ROOT TESTINGImplementing the Johansen’s Cointegration method involves some initial testing of the time
series to ensure I(1), in other words testing for unit roots. In order to validate this
characteristic in our time series data, we utilize two different unit root tests, the
Augmented Dickey-Fuller Test (ADF) and the Phillip-Perron Test (PP). In general, the ADF
and PP tests are consistent with each other; however we include both as to ensure accuracy
regarding the unit root conclusion. Our study will test each time series individually to ensure
non-stationary at the levels of the data, and also run the unit root tests on the first differences
to ensure I(1).
The PP test is very similar to the ADF test. The main reason we also conduct a PP test is
because the ADF test loses power for sufficiently large values of p, the number of lags
(Ghosh et al, 1999). It includes an automatic correction to the Dickey-Fuller process for auto-
correlated residuals (Brooks 2008). The PP test is a more comprehensive theory of unit root
non-stationary.
39
CHAPTER 5
DATA ANALYSIS & FINDINGS
40
CHAPTER 5: DATA ANALYSIS & FINDINGS
5.1 DATA ANALYSIS
This section details all results from the testing we conducted. All testing was conducted using
EViews 9.0 statistical software.
5.2 UNIT ROOT TESTING
The Augmented Dickey-Fuller (ADF) test shows for all 5 indices that the level data was non-
stationary; however stationary was reached after the first difference. As discussed in the
Methodology section, this means all of our data is integrated of order one, requirement for
Johansen’s cointegration analysis. Our test results are significant at the 1% significance level.
The Phillip-Perron (PP) test is also conducted in order to confirm the test results of the ADF
and ensure non-stationary of the indices. The PP test, like the ADF test, indicates significance
for all sample periods, rejecting the null hypothesis of stationary at the 1% level.
5.3 KEY FINDINGS – DESCRIPTIVE STATISTICS (India and all stock
indices)
41
Interpretation
• The skewness statistics of daily data whether found to be positive or negative, but are
less than 1 for all the indices indicating that the level data distribution is almost
symmetric.
• Kurtosis is less than three for all the indices during the period suggests that the
underlying data is platykurtic i.e. squat with short tails about the mean, which
indicates that the data is not normally distributed.
• Additionally the application of Jarque-Bera (JB) statistics calculated to test the null
hypothesis of normality in the data rejects the normality assumption at 1% level of
significance.
5.4 KEY FINDINGS – ADF & PP TEST IN LEVEL DATA
Interpretation
• In order to prove it statistically that the data are stationary, the Augmented Dickey
Fuller (ADF) Test for unit root has been conducted. And to verify the results of ADF
Test, the Philips and Peron (PP) Test of stationary has been conducted.
• Here, the ADF Test has been undertaken by considering the constant term as well as
the trend.
42
• From the application of ADF Test, we come to a conclusion that the level data of
selected stock indices are nonstationary and in order to verify the results the PP Test
has also been performed which gave similar results.
5.5 KEY FINDINGS – ADF & PP TEST - FIRST DIFFERENCE DATA
Interpretation
• But, when the ADF and PP Tests are again applied to the first differences of the
selected indices, they became stationary
• Hence, it implies that since all the selected indices are nonstationary in their level
form and are becoming stationary in their first difference, we may go for a test of
cointegration. We have selected the Engle Granger methodology for detecting
cointegration in this study.
5.6 KEY FINDINGS – TEST OF COINTEGRATION
43
Interpretation
• The coefficient for regression of BSE 30 on the selected indices is given and for all
the cases the p-value is 0.00. But there remains the symptom of spurious regression
here as the R-squared value in the respective cases is greater than Durbin-Watson
statistics. As the regression results are showing symptoms of spurious regression, if
the residuals of the model will be found stationary, then it would remain no longer
spurious, we can accept the model. If the residual of the model is found stationary, it
also mean that variables in the model are cointegrated or they have long-run
relationship or equilibrium relationship between them. India is not cointegrated with
any of the G7 countries’ indices (USA, CANADA & JAPAN).
5.7 KEY FINDINGS – TEST OF COINTEGRATION
Interpretation
• Here also it can be seen that India is not found cointegrated with any of the G7
countries’ indices (USA, CANADA & JAPAN).
5.8 KEY FINDINGS – DESCRIPTIVE STATISTICS (India and all
Exchange rates)
44
Stat
isti
c
BSE
30
CA
NA
DA
JAPA
N
USA
Mean 12587.02 40.24111 0.464353 48.98488Med 12153.17 39.258 0.41745 46.3975Max 29220.12 62.354 0.7151 68.598Min 2810.66 25.808 0.2939 35.7SD 8316.734 9.442554 0.106733 8.003061
Skew. 0.382026 0.338286 0.477518 1.038085Kurt. 1.837486 1.923368 2.121064 3.025754JB. 18.86835 15.6299 16.42507 42.03021
Prob. 0.00008 0.00404 0.000271 0Source: Compiled from E-Views Output
Table 5.6 Descriptive Statistics of Level Data
Interpretation
• The skewness statistics of daily data whether found to be positive or negative, but are
less than 1 for all the indices indicating that the level data distribution is almost
symmetric.
• Kurtosis is less than three for all the indices during the period suggests that the
underlying data is platykurtic i.e. squat with short tails about the mean, which
indicates that the data is not normally distributed.
• Additionally the application of Jarque-Bera (JB) statistics calculated to test the null
hypothesis of normality in the data rejects the normality assumption at 1% level of
significance.
5.9 KEY FINDINGS – ADF & PP TEST IN LEVEL DATA
Interpretation
• In order to prove it statistically that the data are stationary, the Augmented Dickey
Fuller (ADF) Test for unit root has been conducted. And to verify the results of ADF
Test, the Philips and Peron (PP) Test of stationary has been conducted.
• Here, the ADF Test has been undertaken by considering the constant term as well as
the trend.
• From the application of ADF Test, we come to a conclusion that the level data of
selected stock indices are nonstationary and in order to verify the results the PP Test
has also been performed which gave similar results.
45
5.10 KEY FINDINGS – ADF & PP TEST IN FIRST DIFFERENCE DATA
Interpretation
• But, when the ADF and PP Tests are again applied to the first differences of the
selected indices, they became stationary
• Hence, it implies that since all the selected indices are nonstationary in their level
form and are becoming stationary in their first difference, we may go for a test of
cointegration. We have selected the Engle Granger methodology for detecting
cointegration in this study.
5.11 KEY FINDINGS – TEST OF COINTEGRATION
46
Interpretation
• The coefficient for regression of BSE 30 on the selected indices is given and for all
the cases the p-value is 0.00. But there remains the symptom of spurious regression
here as the R-squared value in the respective cases is greater than Durbin-Watson
statistics. As the regression results are showing symptoms of spurious regression, if
the residuals of the model will be found stationary, then it would remain no longer
spurious, we can accept the model. If the residual of the model is found stationary, it
also mean that variables in the model are cointegrated or they have long-run
relationship or equilibrium relationship between them. Indian stock market is not
cointegrated with exchange rates of Indian rupees vis a vis G7 currencies (USA,
CANADA & JAPAN).
5.12 KEY FINDINGS – TEST OF COINTEGRATION
Interpretation
• Here also it can be seen that India is not found cointegrated with any of the G7
countries’ indices (USA, CANADA & JAPAN).
47
5.13 KEY FINDINGS – DESCRIPTIVE STATISTICS (India& LIBOR Rate)
Table 5.11 Descriptive Statistics of Level Data
Stat
isti
c IND
IA
LIB
OR
Mean 12587.02 2.519271Med 12153.17 1.678605Max 29220.12 6.79014Min 2810.66 0.22609SD 8316.734 2.249487Skew. 0.382026 0.49025Kurt. 1.837486 1.619065JB. 18.86835 27.96652Prob. 0.00008 0.000001Source: Compiled from EViews output
Interpretation
• The skewness statistics of daily data whether found to be positive or negative, but are
less than 1 for all the indices indicating that the level data distribution is almost
symmetric.
• Kurtosis is less than three for all the indices during the period suggests that the
underlying data is platykurtic i.e. squat with short tails about the mean, which
indicates that the data is not normally distributed.
• Additionally the application of Jarque-Bera (JB) statistics calculated to test the null
hypothesis of normality in the data rejects the normality assumption at 1% level of
significance.
5.14 KEY FINDINGS – ADF & PP TEST IN LEVEL DATA
48
Computed Value
Critical Value at
5% Level P ValueComputed
Value
Critical Value at
5% Level P ValueINDIA -2.801 -3.429 0.1985 -3.046 -3.429 0.1221LIBOR -1.742 -3.429 0.7291 -1.803 -3.429 0.6999
Table 5.12: ADF & PP TEST RESULTS OF LEVEL DATAADF Test Results PP Test Results
Name
Note: Null Hypothesis: There is unit root. Alternative Hypothesis: There is no unit rootSource: Compiled from E Views Output
Interpretation
• In order to prove it statistically that the data are stationary, the Augmented Dickey
Fuller (ADF) Test for unit root has been conducted. And to verify the results of ADF
Test, the Philips and Peron (PP) Test of stationary has been conducted.
• Here, the ADF Test has been undertaken by considering the constant term as well as
the trend.
• From the application of ADF Test, we come to a conclusion that the level data of
selected stock indices are nonstationary and in order to verify the results the PP Test
has also been performed which gave similar results.
5.15 KEY FINDINGS – ADF & PP TEST IN FIRST DIFFERENCE DATA
Interpretation
• But, when the ADF and PP Tests are again applied to the first differences of the
selected indices, they became stationary
• Hence, it implies that since all the selected indices are nonstationary in their level
form and are becoming stationary in their first difference, we may go for a test of
cointegration. We have selected the Engle Granger methodology for detecting
cointegration in this study.
49
Computed Value
Critical Value at
5% Level P ValueComputed
Value
Critical Value at
5% Level P ValueINDIA -15.094 -3.429 0 -15.138 -3.429 0LIBOR -10.792 -3.429 0 -11.485 -3.429 0
Table 5.13: ADF & PP TEST RESULTS OF FIRST DIFFERENCE
Name
ADF Test Results PP Test Results
Note: Null Hypothesis: There is unit root. Alternative Hypothesis: There is no unit rootSource: Compiled from E Views Output
5.16 KEY FINDINGS – TEST OF COINTEGRATION
Interpretation
• The coefficient for regression of BSE 30 on the selected indices is given and for all
the cases the p-value is 0.00. But there remains the symptom of spurious regression
here as the R-squared value in the respective cases is greater than Durbin-Watson
statistics. As the regression results are showing symptoms of spurious regression, if
the residuals of the model will be found stationary, then it would remain no longer
spurious, we can accept the model. If the residual of the model is found stationary, it
also mean that variables in the model are cointegrated or they have long-run
relationship or equilibrium relationship between them. Indian stock market is not
cointegrated with exchange rates of Indian rupees vis a vis LIBOR Rate.
5.17 KEY FINDINGS – TEST OF COINTEGRATION
Interpretation
• Here also it can be seen that India is not found cointegrated with LIBOR Rate.
50
Engle Granger Critical Value-5%
LIBOR -2266.61 0 0.3758 0.0218 -15.83 -3.34Note: ‘*’ :- Null Hypothesis that there is unit root is rejected. Source: Compiled from E Views Output
ADF Test Statistic
for Residual
Table 5.14: REGRESSION RESULTS WITH BSE 30 AS DEPENDENT VARIABLE
NAME
Coefficie
nt P ValueR Squared
ValueDW
Statistic
Engle Granger Critical Value-5%
LIBOR -2266.61 0 0.3758 0.0218 -15.83 -3.34
Note: ‘*’ :- Null Hypothesis that there is unit root is rejected. Source: Compiled from E Views Output
Table 5.15: REGRESSION RESULTS WITH BSE 30 AS INDEPENDENT VARIABLE
NAME
Coefficie
nt P ValueR Squared
ValueDW
Statistic
ADF Test Statistic
for Residual
CHAPTER 6
CONCLUSION & SUGGESTIONS
51
CHAPTER 6: CONCLUSION
From above study we found that India is not co- related with any of the G7 countries, so it is
not possible to do a financial integration with any of the G7 countries.
So it is not possible to do financial integration with G7 countries. Without financial
integration it is not possible to find out any relationship among them. And also India will not
able to be in G7 countries. Without financial integration there will not be any capital flow to
India. From above we found that G7 countries have surplus money to meet the financial
requirement, but India has deficit money.
So in order to meet the financial requirement India needs to develop its policies and rules. If
India wants to be in the list of G7 countries it should make its policy such that it should be
financially integrated with G7 countries.
52
References
Alexander, C. (1999), Optimal Hedging Using Cointegration, Philosophical Transactions of the Royal Society of London Series A – Mathematical Physical and Engineering Sciences, Vol. 357, Issue 1758, pp. 2039-2058.
Allen, D. and MacDonald, G. (1995), The Long Run Gains from International Diversification: Australian Evidence from Cointegration Tests, Applied Financial Economics, Vol. 5, Issue 1, pp.33-43.
Bessler, D., Yang, J. (2003). The Structure of Interdependence in International StockMarkets, Journal of International Money and Finance, Issue 22, pp. 261-287.
Engle, R. F. and Yoo B. S. (1987), ‘Forecasting and Testing in Co-integrated Systems’. Journal of Econometrics, Issue 35, pp. 143-159
Engle, R. F. and Granger, C.W.J. (1987), ‘Co-integration and Error Correction: Representation, Estimation and Testing’. Econometrica, Vol. 55, Issue 2, pp. 251-276.
.Fadhlaoui, K., Bellalah, M., Dherry, A., Zouaouil, M. (2008), An Empirical Examination of International Diversification Benefits in Central European Emerging Equity Markets,
Ghosh, A., Saidi, R., Johnson, K. (1999), Who Moves the Asia-Pacific stock markets – US or Japan? Empirical Evidence Based on Theory of Cointegration, The Financial Review, Vol. 34 Issue 1, p. 159.
Kasibhatla, K., Stewart, D., Sen, S., Malindretos, J. (2006), Are Daily Stock Price Indices in the Major European Equity Markets Cointegrated? Tests and Evidence, American Economist, Vol. 50, Issue 2.
Onay, S. (2006), A Cointegration Analysis Approach to European Union Integration: The Case of Acceding and Candidate Countries, European Integration Online Papers, Vol. 10, Issue 7.
Taylor and Tonks (1989). The Internationalization of Stock Markets and the Abolition of U.K. Exchange Control. The Review of Economics and Statistics. Vol. 71, Issue 2, pp. 332-336.
Yang, J., Khan, M., Pointer, L. (2003), Increasing Integration Between the United States and Other International Stock Markets? – A Recursive Cointegration Analysis, Emerging Markets, Finance and Trade, Vol. 39, Issue 6, p.39.
Bansal, R., and M. Dahlquist (2000). “The Forward Premium Puzzle, Different Tales from Developed and Emerging Economies”, Journal of International Economics, 51 115-144.
Flood, R. P., and A. K. Rose (1996). “Fixes, of the Forward Discount Puzzle”, Review of Economics and Statistics, 78(4), 748-752.
53
Kalyvitis, S., and I. Skotida (2010). “Some Empirical Evidence on the Effect of U.S. Monetary Policy Shock on Cross Exchange Rates”, The Quarterly Review of Economics and Finance, 50, 386-394.
Krugman, P.R. (1991). “Target Zones and Exchange Rate Dynamics”, Quarterly Journal of Economics, 106 (3), 669-682.
Mark, N., and Y. Wu (1998). “Rethinking Deviations From Uncovered Interest Parity: The Role of Covariance Risk And Noise.” The Economic Journal, 108 (451), 1686-1706.
Moon, H. R., and B. Perron (2005). “Efficient Estimation of the Seemingly Unrelated Regression Cointegration Model and Testing for Purchasing Power Parity”, Econometric Reviews, 23(4), 293-323
Juselius, K., and R. MacDonald (2004). “International Rarity Relationship Between the USA and Japan”, Japan and the World Economy, 16, 17–34.
Important Websites
www.worldbank.org
www.yahoofinance.com
www.imf.org
www.wconomicimes.com
54