Vivek Gupta-6117-Spread Between EP Ratio and Interest Rate and Its Effects on Indian Stock Market

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    Spread between E/P Ratio and Interest Rate and its effects on

    Indian Stock Market

    Submitted in partial fulfillment of the requirements of

    the M.B.A Degree Course of Bangalore University

    By

    VIVEK GUPTA

    (REGD.NO:05XQCM 6117)

    Under the Guidance

    Of

    Prof. S. SANTHANAM

    Faculty

    MPBIM

    M.P.BIRLA INSTITUTE OF MANAGEMENT

    Associate Bharatiya Vidya Bhavan

    43, Race Course Road, Bangalore-560001

    2005-2007

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    DECLARATION

    I hereby declare that the dissertation entitled Spread between E/P Ratio and Interest

    Rate and its effects on Indian Stock Marketis the result of work undertaken by me,

    under the guidance of Prof. S. SANTHANAM, permanent faculty, M.P. Birla Institute of

    Management, Bangalore.

    I also declare that this dissertation has not been submitted to any other

    University/Institution for the award of any Degree or Diploma.

    Place: Bangalore VIVEK GUPTA

    Date : 16th May 2007 (REGD.NO:05XQCM 6117)

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    PRINCIPALS CERTIFICATE

    This is to certify that the Research Report entitled Spread between E/P Ratio and

    Interest Rate and its effects on Indian Stock Market done by Mr. VIVEK GUPTA

    bearing Registration No. 05XQCM 6117 under the guidance of Prof. S. SANTHANAM.

    Place: Bangalore (Dr.N.S.Malavalli)

    Date: 16th May 2007 Principal MPBIM, Bangalore

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    GUIDES CERTIFICATE

    This is to certify that the Research Report entitled Spread between E/P Ratio and

    Interest Rate and its effects on Indian Stock Market done by Mr. VIVEK GUPTA

    bearing Registration No. 05XQCM6117 is a bonafide work carried under my guidance

    during the academic year 2006-07 in a partial fulfillment of the requirement for the

    award of MBA degree by Bangalore University. To the best of my knowledge, this report

    has not formed the basis for the award of any other degree.

    Place: Bangalore Prof.S. SANTHANAM

    Date : 16

    th

    May 2007

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    ACKNOWLEDGEMENT

    As students collect accolades in the form of grades for the success in his/her endeavors

    and his/her success depends on adequate preparation and in domination and most

    important of all the support received from his/her guide. So the accolades I earn of this

    project, I would like to share with all those who have played a notable part in its making.

    I take this opportunity to sincerely thank Dr.T.V.N Rao who guided me through out the

    project through his Valuable suggestions, without which the project would not have

    been successful.

    I also thank PROF. S. SANTHANAM for giving me the opportunity to explore my areas

    of interest by consistently lending support in terms of his expertise and also supplying

    valuable inputs in terms of resources every step of the way.

    It would be improper if I do not acknowledge the help and encouragement by my family,

    friends and well-wishers who always helped me directly or indirectly.

    Vivek Gupta

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    ABSTRACT

    In recent years, spreads between the earning/price ratios of some stock market indices

    and interest rates have been widely used as indicators for future equity market

    movements by market practitioners. For example, a number of investment banks have

    used the spreads in the past few years to justify their bullish outlook for the stock

    market. Various business publications use the spreads in their discussions of the overall

    market conditions and outlooks as well.

    E/P ratios and interest rates appear to be unlikely candidates since they contain only

    widely publicly available information. E/P ratios of individual stocks or portfolios are

    regularly used to explain the stock or portfolio returns. In this study, we find that though

    spread seems to have reasonably strong causal influence on E/P ratio and Call money

    rate but there is no influence on Market Return as such. Further we also find that there

    is low relationship exist between Call money rate and Market Return.

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    CHAPTER 1

    INTRODUCTION

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    Introduction:

    The earnings-price ratio (E/P ratio) of a stock market index is used to forecast the

    overall stock market outlook. The spreads between the E/P ratio and interest rates are

    other indicators used to monitor the stock market. These spreads are used for market

    timing such that, based on the signals generated from the spreads, a decision is made

    to invest in the stock market index or in bonds. The reason behind such use is that

    theoretically the E/P ratio and interest rates should have an equilibrium relationship, as

    investors will arbitrage between stocks and bonds [Gram, Dodd and Cottle (1962)].

    Whenever there is a deviation from the equilibrium, stock prices will move the E/P ratio

    and interest rates to the direction of the equilibrium. It is also noted that some central

    banks financial stability reports include measures of whether stock markets are

    overvalued by looking at E/P ratios. Few people consider the spread between the E/P

    ratio and interest rate the most important variable in forecasting returns.

    The purpose of this paper is to study the usefulness of the E/P ratio of the NSE CNX

    Nifty and the spreads between the E/P ratio and interest rates & its effects on the return

    of the Nifty.

    Campbell and Shiller (1998) investigate the relationship between the E/P ratio of the

    S&P 500 index and the general stock market outlook. They find that the E/P ratio at the

    beginning of a 10-year period is positively correlated with the return of the S&P 500

    index over that 10-year period using data from 1872 to 1997. Rolph and Shen (1999)

    find that the historical extreme values of the spreads between the E/P ratio of the CRSP

    index in the US and the long-term and short-term interest rates contain information on

    the direction of the stock market.

    As the information on both E/P ratio and the prevailing market rate of interest are

    publicly available, apparently the spread between two variables as defined above could

    not be an important indicator of market movements in an efficient market. Along with

    different indicators, market practitioners often use different measures of spread to

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    analyze and predict market movements. Number of research papers attempted to

    explain/predict future stock return by considering some of the regressors among E/P

    ratio, yields, interest rate, etc.

    In this paper, an attempt is made to assess the usefulness of spread between E/P ratio

    and interest rate in the context of Indian stock market. For analyzing the relationship

    between spread and return, a number of analytical tools, viz., correlation analysis,

    regression analysis and Granger.s causality test have been employed.

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    CHAPTER 2

    REVIEW OF LITERATURE

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    Rolph, Douglas and Pu Shen (1999), Do The Spreads Between the E/P Ratio and

    Interest Rates Contain Information on Future Equity Market Movements?

    Research Working Paper, Federal Reserve Bank of Kansas City, RWP 99-03 (March).

    Introduction

    In recent years, spreads between the earning/price ratios of some stock market indices

    (e.g. S&P 500 index) and interest rates have been widely used as indicators for future

    equity market movements by market practitioners. For example, a number of investment

    banks have used the spreads in the past few years to justify their bullish outlook for the

    stock market. Various business publications (Wall Street Journal, Barrons, Business

    Week are a few examples) use the spreads in their discussions of the overall market

    conditions and outlooks as well. Value Line Investment Survey in its market monitor

    section regularly publishes the current spread, its changes since last week, last quarter,

    last year, and the level of the spread at last market top, last market bottom, etc.

    Academics, on the other hand, tend to be suspicious to any claim that a model can

    consistently predict future market movements beyond a long-term trend because they

    generally believe stock prices are on average efficient. E/P ratios and interest rates also

    appear to be unlikely candidates since they contain only widely publicly available

    information. While e/p ratios of individual stocks or portfolios are regularly used to

    explain the stock or portfolio returns, there are only a few papers using e/p ratios or

    interest rates to forecast the overall market performance. Campbell and Shiller (1998)

    show that the e/p ratio at the beginning of a 10-year period is negatively correlated to

    the stock returns for the 10-year period. Lander, Orphanides, and Douvogiannis (1997)

    use linear combinations of e/p ratio and bond yields to predict returns on the S&P 500

    index in a regression framework.2 Finally, both interest rates and e/p ratios are among

    the possible explanatory variables in Pesaran and Timmermann's attempt to explain

    stock market movements (1995). None of these papers, however, have used spreads

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    between the e/p ratio and interest rates or directly evaluated the usefulness of the

    spreads as indicators for the overall market outlook.

    OBJECTIVE OF STUDY

    To examine directly the usefulness of the spreads between the e/p ratio and interest

    rates as indicators for overall stock market conditions.

    To compare the predictive power of the spreads when different interest rates are used.

    METHODOLOGY

    Examine the predictive power of the spread variable in the in-sample regression

    analysis and out-of-sample forecast comparisons.

    Sample covers the time period from January 1962 to December 1997. The dependent

    variable of the regression is the monthly total returns of the CRSP value-weighted

    index. Two interest rates are used: one is the short rate, which is the yield on 3-month

    Treasury bills; and the other is the long rate, which is the yield on 10-year Treasury

    notes.

    Conclusion

    Examine the usefulness of the spreads between the e/p ratio of the stock market index

    and the interest rates of 3-month and 10-year Treasury securities. Findings are that

    while spreads do not appear to be particularly useful in a regression framework, the

    extreme values of the spreads, relative to their historical ranges, do contain useful

    information on future overall equity market movements. In particular, for the time period

    of 1967 to 1997, when the spreads were below their historical 10th percentile levels,

    roughly 50% of the time they were followed by a market downturn. Further, switching

    strategies based on the signals of the spreads outperformed the benchmark buy-and-

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    hold strategy. Finally, even though many practitioners and the business press have

    focused on the spreads calculated with longterm interest rates, spreads calculated with

    short-term interest rates actually perform marginally better, though the differences

    between the two are not significant statistically

    G. P. Samanta and Kaushik Bhattacharya Is the Spread between E/P Ratio and

    Interest Rate Informative for Future Movement of Indian Stock Market? NSE

    RESEARCH INITIATIVEPAPER NO.: 9

    Introduction

    Empirical evidence for the developed economies suggests that the information on the

    spread between E/P ratio at the stock market and a measure of interest rate is

    sometimes useful in predicting stock market movements. The paper employs several

    statistical and econometric tools (viz., correlation analysis, regression analysis,

    Grangers causality test and measures of out-of-sample forecast performance) for

    rigorously assessing the usefulness of spread in explaining stock market return in India.

    Also, examine the possibility of formulating profitable business/trading strategy using

    spread for varying degrees of transaction cost. Empirical results reveal that though

    spread seems to have reasonably strong causal influence on return and the causal

    model helps achieving forecasts slightly better than the random walk model, the

    usefulness of spread in formulating a profitable business strategy is not clear. The

    paper finds that the performances of different strategies vis--vis a simple buy-and-hold

    strategy would crucially depend on several factors like the choice of interest rate, choice

    of trading period and choice of threshold for determining extreme values of spread. The

    paper also reveals that the profitability of a spread based trading strategy would

    crucially depend on the extent of transaction cost. In this context, however, it is

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    interesting to note that a spread based strategy in many occasions yielded higher

    returns than that of the buy-and-hold strategy, especially when transaction cost was

    low.

    OBJECTIVE OF STUDY

    In this paper, an attempt is made to assess the usefulness of spread between E/P ratio

    and interest rate in the context of Indian stock market.

    To explore the possibility of formulating profitable business/trading strategy using

    spread.

    METHODOLOGY

    For assessing the information content of spread about future stock market return,

    following analytical tools and methodologies are employed in the study-

    Correlation/Cross-Correlation Analysis

    Regression Analysis

    Grangers Causality Test

    Database

    In study, both weekly and monthly data are used. The basic variable covered in weekly

    database pertain to weekly average stock price index, E/P ratio of the index portfolio

    and a representative interest rate from the week ended January 6, 1996 to the week

    ended December 30, 2000. The monthly database also covers these basic variables for

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    the months from January 1996 to December 2000. The data on return and spread are

    derived from these basic variables.

    Closing value of BSE National index (i.e. BSE-100 index) is considered for calculating

    stock market return

    The study has used the call money rate and the Bank Rate as indicators of short-term

    interest rate.

    Conclusion

    Empirical results shows spread seems to have reasonably strong causal influence on

    return and the causal model helps achieving forecasts better than the random walk

    model, the usefulness of spread in formulating a profitable business strategy is not

    clear. Empirical work in the paper reveals that the performances of different strategies

    vis--vis a simple buy-and-hold strategy, crucially depend on several factors like the

    choice of interest rate, choice of trading period and choice of threshold for determining

    extreme values of spread. Study also reveals that the profitability of a spread based

    trading strategy would crucially depend on the extent of transaction cost. In this context,

    however, it is interesting to note that spread based strategies in many occasions yielded

    higher returns that of the buy-and-hold strategy, especially when transaction cost was

    low.

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    CHAPTER 3

    RESEARCH METHODOLOGY

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    Statement of Problem

    The issue of whether the spread between Earning/Price (E/P) ratio and interest rate

    contains useful information about the movement of stock market is a matter of empirical

    investigation in recent years. Therefore, in this paper, an attempt is made to assess the

    effects of spread between E/P ratio and interest rate on Indian stock market.

    Objective

    To find out the relationship between spread between E/P ratio and interest rate

    and S&P CNX Nifty returns.

    To find out weather change in interest rate effects S&P CNX Nifty returns.

    Study Design

    a) Study Type:

    The study type is analytical, quantitative and historical. Analyticalbecause facts andexisting information is used for the analysis, Quantitativeas relationship is examined by

    expressing variables in measurable terms and also Historical as the historical

    information is used for analysis and interpretation.

    b) Study population:

    Populationis the daily closing prices of S&P CNX NIFTY Index.

    c) Sample:

    Daily closing values of S&P CNX NIFTY Index from 08-08-2000 to 30-4-2007.

    Interest rate- Call money rate (maximum) from 08-08-2000 to 30-4-2007.

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    e) Sampling technique:

    Deliberate sampling is used because only particular units are selected from the

    sampling frame. Such a selection is undertaken as these units represent the population

    in a better way and reflect better relationship with the other variable.

    SAMPLE SIZE AND DATA SOURCES

    In this study S&P CNX Nifty index has been considered as a proxy for the stock market

    and accordingly the closing index values were collected from Aug. 08, 2000 till April 30,

    2007.

    In a study, Balasubramanian and Narasimhan (1999) made an attempt to assess to

    what extent various indices reflect the market performance. Their empirical results

    suggest that the similarity in behavior of various indices e.g. BSE National index,

    Economic 100 index, Financial Express 100 Index, NSE-50 etc.

    For Interest rate Call money rate (maximum) from Aug 08, 2000 to April 30, 2007 has

    been taken.

    As per some studies, possible proxies for short-term interest rate would be, call money

    rate, yields on certain Treasury Bills, Deposit Rate, Bank Rate., etc.

    LIMITATIONS OF THE RESEARCH

    Data considered for the period from Aug 08, 2000 to April 30, 2007 only.

    Sample is restricted to S&P CNX Nifty index

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    For few dates in between complete data is not available, so in order to not getting

    any misrepresenting figures we excluded those dates as a whole.

    For simplicity calculation is been made on a daily basis.

    There is change in methodology for calculation of P/E ratio for S&P CNX Nifty

    w.e.f. Dec 20, 2004, which is not taken into consideration in this study.

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    CHAPTER 4

    DATA ANALYSIS

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    Analysis and Interpretation

    Steps followed in the analysis

    The data is collected from

    1. S&P CNX NIFTY Index.

    2. Call money rate(maximum)

    Closing index values were collected from Aug. 08, 2000 to April 30, 2007.

    Return were calculated by-

    Where, Rt = Return at time point tPt = Price at time point tPt-1= Price of previous day

    E/P ratio is been calculated by inversing P/E ratio

    Spread is been calculated between interest rate and E/P ratio on daily basis.

    Sp = E/P - Call

    Where, Sp = Spread between E/P ratio and Call money rate

    E/P = 1/ [P/E ratio]

    Call = Call money rate

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    Results on Investigating Relationship Between Spread and Return

    Correlation between Return and spread

    Correlations

    Return spread

    return Pearson Correlation 1 -.016

    Sig. (2-tailed) .524

    N 1573 1573

    spread Pearson Correlation -.016 1

    Sig. (2-tailed) .524

    N 1573 1574

    Interpretation

    As it is clear that Pearson Correlation between return and spread is low (-.016),

    therefore it is clear that there is near to no correlation between return and spread.

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    Results on Investigation of Grangers causality test

    Pairwise Granger Causality Tests

    Sample: 1 1578Lags: 2

    Null Hypothesis: Obs F-Statistic Probability

    Return does not Granger Cause Close 1571 2.71003 0.06685Close does not Granger Cause Return 0.33482 0.71552

    Spread does not Granger Cause Close 1571 0.91782 0.39960Close does not Granger Cause Spread 0.90055 0.40656

    E/P does not Granger Cause Close 1571 3.43454 0.03248Close does not Granger Cause E/P 1.90963 0.14848

    Call does not Granger Cause Close 1571 0.92347 0.39736Close does not Granger Cause Call 0.87471 0.41719

    Spread does not Granger Cause Return 1571 0.14009 0.86929Return does not Granger Cause Spread 0.93688 0.39207

    E/P does not Granger Cause Return 1571 5.04567 0.00654Return does not Granger Cause E/P 6.10514 0.00228

    Call does not Granger Cause Return 1571 0.14188 0.86774Return does not Granger Cause Call 0.93636 0.39227

    E/P does not Granger Cause Spread 1571 8.68787 0.00018Spread does not Granger Cause E/P 2.12754 0.11947

    Call does not Granger Cause Spread 1571 8.68787 0.00018Spread does not Granger Cause Call 8.51210 0.00021

    Call does not Granger Cause E/P 1571 2.12754 0.11947E/P does not Granger Cause Call 8.51210 0.00021

    Interpretation

    From the above Grangers Causality Test we can easily find that there is strong

    relationship (F test) between E/P ratio and Spread (8.68787), Call money rate and

    Spread (8.68787), Spread and Call money rate (8.51210) & E/P ratio and Call money rate

    (8.51210). Though there is relationship exist between E/P ratio and Return (5.04567) &

    Return and E/P ratio (6.10514) but it is not that strong.

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    From this, we can interpret that

    - Spread is causing E/P ratio

    - Spread is causing Call money rate

    - Call money rate is causing Spread

    - Call money rate is causing E/P ratio

    It is also established that there is no direct relationship between Spread and Market

    return.

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    Results on Regression Analysis

    - Regression between Call money rate and Market return

    Variables Entered/Removedb

    returna . Enter

    Model1

    Variables

    Entered

    Variables

    Removed Method

    All requested variables entered.a.

    Dependent Variable: callb.

    Model Summary

    .016a .000 .000 3.69246

    Model1

    R R Square

    Adjusted

    R Square

    Std. Error of

    the Estimate

    Predictors: (Constant), returna.

    ANOVAb

    5.482 1 5.482 .402 .526a

    21419.372 1571 13.634

    21424.854 1572

    Regression

    Residual

    Total

    Model1

    Sum ofSquares df Mean Square F Sig.

    Predictors: (Constant), returna.

    Dependent Variable: callb.

    Coefficientsa

    6.847 .093 73.435 .000

    3.930 6.198 .016 .634 .526

    (Constant)

    return

    Model1

    B Std. Error

    Unstandardized

    Coefficients

    Beta

    Standardized

    Coefficients

    t Sig.

    Dependent Variable: calla.

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    Interpretation

    As it can be seen from ANOVA table that value of F is low (.402) but t in coefficients

    is comparatively high (73.435) which shows that there is some significant relationship

    between these two.

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    CHAPTER 5

    CONCLUSION

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    Market practitioners frequently use spread to get higher returns. Moreover, evidence

    from the developed economies suggests that the information on spread could be useful.

    In this study, we have employed various statistical and econometric tools for rigorously

    assessing the usefulness of spread in explaining stock market return. Results, at this

    stage, however, are not conclusive. In this study, we find that though spread seems to

    have reasonably strong causal influence on E/P ratio and Call money rate but there is

    no influence on Market Return as such. Further after running regression analysis

    between Call money rate and Market Return where Call money rate is taken as

    Dependent variable and Market return is taken as Independent variable we find that

    there is low relationship exist.

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    ANNEXTURE

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    Bibliography

    BOOKS

    1. Basic Econometrics: By Damodar N. Gujrati

    2. Introductory Econometrics: By Ramu Ramanathan

    ECONOMETRICS SOFTWARE PACKAGES

    1. Eviews

    2. SPSS

    REFERENCES

    G. P. Samanta and Kaushik Bhattacharya Is the Spread between E/P Ratio

    and Interest Rate Informative for Future Movement of Indian Stock

    Market?NSE RESEARCH INITIATIVEPAPER NO.: 9

    Rolph, Douglas and Pu Shen (1999), Do The Spreads Between the E/P Ratio

    and Interest Rates Contain Information on Future Equity MarketMovements?Research Working Paper, Federal Reserve Bank of Kansas City,

    RWP 99-03 (March).

    Market-Timing Strategies That Worked - Pu Shen, MAY 2002, RWP 02-01

    Research Division, Federal Reserve Bank of Kansas City

    Can the Forecasts Generated from E/P Ratio and Bond Yield be Used to

    Beat Stock Markets?, Wing-Keung Wong, Department of Economics Working

    Paper No. 0201.

    Macroeconomic Variables and the E/P Ratio By Prem C. Jain, Joshua G.

    Rosett