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1
Media Reinforcement in International Financial MarketsKen Froot, HBS
Xiaoxia Lou, University of Delaware
Gideon Ozik, EDHEC Business School
Ronnie Sadka, Boston College
Siyi Shen, Boston College
March 2018
2
Research Question
Media
–An avenue through which information is gathered, processed, and disseminated
–Large amount of data are generated by media daily
Academic research has focused on direct effects
–Media coverage can predict returns
–Mainly focused on individual stocks and US aggregate equity
This work studies the interaction of media and asset prices
–Individual stocks
–Aggregate equity markets
–Currencies
3
How Does the Media Interact with Asset Prices?
How to measure optimism / pessimism?
– Asset prices is one indicator
– Look at media sentiment!
This work advances a simple concept:
When return and sentiment reinforce one another
– There is unusually high optimism, which results with overreaction
Abnormal return
Expected reversal w/o media
Expected reversal with media
4
• The role and content of media and its impact on asset prices:
–e.g., Tetlock (2007), Tetlock, Saar-Tsechansky, and Macskassy (2008), and Chen, De, Hu, and Hwang (2014)
• Short-term return autocorrelation:
–e.g, Jegadeesh (1990), Lehman (1990), Jegadeesh and Titman (1995), Copper (1999), and Avramov, Chordia, and Goyal (2006)
• Information dissemination in financial market:
–e.g., Chan (2003), Tetlock (2010), and Griffin, Hirschey, and Kelly (2011)
• Investor behavioral biases:
–e.g., Daniel, Hirshleifer, and Subrahmanyam (1998), Barber and Odean(2008), and Solomon, Soltes, and Sosyura (2014)
Related Literature
5
The Power of the Media
GeneralMedia
SpecializedMedia
Corporate Communications
SocialMedia
• What is the world saying?
• What is the industry saying?
• What are companies
saying?
• What are peoplesaying?
• Wealth of information
• A careful examination of the data and the correction for various effects
6
The Data
12 developed market currency: AUD, CAD, CHF, DKK, EUR, GBP, ILS, JPY, NOK, NZD, SEK, SGD
+2 developed market equity: HKD, USD
17 emerging markets: ARS, BRL, CLP, CNY, COP, EGP, IDR, INR, MXN, MYR, NGN, PHP,PLN, RUB, THB, TRY, ZAR
• FX and Equity indices
• Currencies
• Equity indices
Countries
MediaCoverage
Other AssetClasses
Sentiment Scoring
• Textual analysis
• Large-cap stocks
• Commodities
7
The Data – Cont’d
Zoom
coun
t
NonSP500 NonUS SP500
Jan '16 Jul '16 Jan '17 Jul '17
0k
50k
100k
Number of articles covering firms Number of articles by country of source (FX, Country)
FX / Country articles by source typeFX / Country articles by year
- 30,000 60,000 90,000 120,000 150,000Russia
SingaporeSwitzerland
New ZealandBrazil
ThailandMalaysia
South AfricaMexico
AustraliaHong Kong
CanadaChinaJapan
IndiaUK
Euro ZoneUSA
8
Brexit Vote (June 23, 2016)1-day abnormal country equity sentiment
• Prior to Brexit vote, sentiment seemed mostly positive
• Once ‘Leave’ was announced, global sentiment turned sharply negative, with UK, European countries, the Americas and Australia leading the way
• In contrast, Russia and China exhibit a positive sentiment shock
9
US Presidential Election (Nov 8, 2016)1-day abnormal FX sentiment
• The extent of the results became clear only after midnight ET. Therefore, media on 11/8/2016 does not reflects the surprising results whereas media coverage on 11/9/2016 reflect the full extent of the results
• While world sentiment turned negative overall, a few countries displayed positive sentiment, notably, Russia and Turkey
10
French Presidential Election (April 23, 2017)1-day abnormal country equity sentiment
• The results of the first round indicated strong performance of Emmanuel Macron, the center-leaning candidate, alleviating concerns of anti-European pressures
• Other than a few exceptions (e.g., Portugal, Poland), country equity sentiment reacted positively
11
Tests using Portfolio Returns
• First examine the relative autocorrelation in the different markets
• Form 10-day-ladder portfolios based on past weekly returns
• Then, add past weekly media sentiment
• Sample: March 2013 – April 2017
12
Media Reinforcement – Portfolio Sorts
10-day-ladder portfolios sorted by past weekly return and sentiment
ReturnsMedia FX Developed1 Country Equity2 Large Stocks3
Returns Low Return
High Return
LowReturn
HighReturn
LowReturn
HighReturn
Med
ia
Low Sentiment
+2.04%[1.94]
-1.15%[-1.33]
+2.12%[1.78]
0.57%[0.44]
+2.25%[2.01]
-1.02%[-1.03]
High Sentiment
+0.83%[0.91]
-1.72%[-1.92]
+0.31%[0.27]
-3.01%[-2.57]
+1.09%[1.00]
-2.32%[-2.07]
Reversal -2.90%[-1.91]
-2.53%[-1.56]
-3.34%[-1.75]
Reinforcement -3.76%[-2.10]
-5.11%[-2.49]
-4.57%[-2.09]
1 Sentiment measured from FX media;2 Sentiment measured from FX media;3 Sentiment measured from stock equity media
13
Portfolios in event time: Stocks
Reinforcement effect
• High return and high sentiment leads to low return
• Low return and low sentiment leads to high return
low sentiment
high sentiment
low sentiment
high sentiment
High ReturnLow Return
-0.01%
0.01%
0.03%
0.05%
0.07%
0.09%
-2.50%
-2.00%
-1.50%
-1.00%
-0.50%
0.00%
-5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10Days
-0.09%
-0.07%
-0.05%
-0.03%
-0.01%
0.01%
0.00%
0.50%
1.00%
1.50%
2.00%
2.50%
-5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10Days
15
• Decomposition of Expected and Unexpected return and sentiment:
• In-sample estimation, per asset
• Expected components explain a small fraction of total variance:Average R2 ranges between 1.23% to 2.37%
Reinforcement or Feedback? Empirical Design
, , , , , ,
, , , , , ,
16
Portfolio Sorts – Expected Components
10-day-ladder portfolios sorted by past weekly expected return and sentiment
ReturnsMedia FX Developed Country Equity Large Stocks
Returns Low Return
High Return
LowReturn
HighReturn
LowReturn
HighReturn
Med
ia
Low Sentiment
-2.06%[-2.70]
1.29%[1.51]
-1.99%[-1.67]
3.96%[2.78]
-4.84%[-3.56]
5.07%[4.93]
High Sentiment
-0.24%[-0.27]
1.01%[1.31]
-2.45%[-2.30]
0.48%[0.43]
-5.16%[-5.80]
4.93%[5.50]
Reversal 2.09%[1.89]
4.34%[2.61]
9.99%[6.20]
Reinforcement 3.06%[2.38]
2.47%[1.20]
9.76%[4.52]
The expected components generate continuation; no reinforcement effect
17
Portfolio Sorts – Unexpected Components
10-day-ladder portfolios sorted by past weekly unexpected return and sentiment
ReturnsMedia FX Developed Country Equity Large Stocks
Returns Low Return
High Return
LowReturn
HighReturn
LowReturn
HighReturn
Med
ia
Low Sentiment
2.03%[1.92]
-0.38%[-0.39]
3.14%[2.64]
-0.36%[-0.29]
2.47%[2.30]
-2.13%[-1.96]
High Sentiment
0.69%[0.72]
-2.34%[-2.79]
0.75%[0.64]
-3.54%[-3.25]
1.89%[1.63]
-2.23%[-2.02]
Reversal -2.76%[-1.97]
-3.99%[-2.51]
-4.35%[-2.23]
Reinforcement -4.37%[-2.55]
-6.69%[-3.35]
-4.70%[-2.23]
The unexpected components generate reversal;The results are consistent with reinforcement rather than feedback
18
Macroeconomic News and Earnings Announcements
Construct portfolios excluding news dates in formation period
ReturnsMedia FX Developed Country Equity Large Stocks
Returns Low Return
High Return
LowReturn
HighReturn
LowReturn
HighReturn
Med
ia
Low Sentiment
+1.92%[2.01]
-0.64%[-0.74]
+2.34%[1.58]
-0.21%[-0.14]
+2.63%[2.39]
-0.87%[-0.84]
High Sentiment
+019%[0.19]
-1.48%[-1.66]
+0.93%[0.67]
-3.06%[-2.18]
+1.00%[0.94]
-2.76%[-2.45]
Reversal -2.17%[-1.57]
-3.26%[-1.70]
-3.63%[-1.88]
Reinforcement -3.40%[-2.04]
-5.40%[-2.13]
-5.39%[-2.48]
The results are not due to main information events
19
Additional Analyses
• Including additional sources for FX and Country equity
• Alternative measures of sentiment
• Cross-sectional regressions using quartile dummies
• Different types of media
Strong in local media
• Effect is stronger for large caps, highly covered by the media
• Calculation of risk-adjusted returns (per asset class)
• Emerging markets and Commodities
20
0.00%
0.02%
0.04%
0.06%
0.08%
0.10%
0.12%
0 1 2 3 4 5 6 7 8 9 10Day
‐0.08%
‐0.07%
‐0.06%
‐0.05%
‐0.04%
‐0.03%
‐0.02%
‐0.01%
0.00%
0 1 2 3 4 5 6 7 8 9 10
Day
High Coverage
Low Coverage
Low Coverage
High Coverage
High Sentiment + High Return Low Sentiment + Low Return
Relation to Intensity of Media Coverage
• Higher media coverage intensifies reinforcement
21
-0.02%
0.00%
0.02%
0.04%
0.06%
0.08%
0.10%
0 1 2 3 4 5 6 7 8 9 10Day
-0.10%
-0.08%
-0.06%
-0.04%
-0.02%
0.00%
0.02%
0 1 2 3 4 5 6 7 8 9 10Day
Large
Small
Small
Large
High Sentiment + High Return Low Sentiment + Low Return
• Reinforcement effect more prominent in large caps
• Liquid firms attract more investors
Relation to Liquidity: Individual Stocks
22
What happens When You Combine All of These?
Strategy
• Construct the 2 x 2 return/sentiment portfolios
• Weekly formation period, skip one day, 10-day ladder
• Long: low return low sentimentShort: high return high sentiment
• Start day: 3/1/2013, End day: 4/27/2017
Performance• Examine FX (developed), Country equity (all), and firm equity (large caps) separately
• Combine all (volatility weighted)
0.901.00
1.101.201.30
Combined; IR = 1.75
23
Summary and Conclusion
• Media is a fruitful avenue for research
• Reinforcement effect in financial markets
• Robust results