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Sentiment and the Effectiveness of Technical Analysis: Evidence from the Hedge Fund Industry

Published online by Cambridge University Press:  29 December 2016

David M. Smith ,
Na Wang ,
Ying Wang  and
Edward J. Zychowicz
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Abstract

This article presents a unique test of the effectiveness of technical analysis in different sentiment environments by focusing on its usage by perhaps the most sophisticated and astute investors, namely, hedge fund managers. We document that during high-sentiment periods, hedge funds using technical analysis exhibit higher performance, lower risk, and superior market-timing ability than nonusers. The advantages of using technical analysis disappear or even reverse in low-sentiment periods. Our findings are consistent with the view that technical analysis is relatively more useful in high-sentiment periods with larger mispricing, which cannot be fully exploited by arbitrage activities because of short-sale impediments.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 51 , Issue 6 , December 2016 , pp. 1991 - 2013
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2016 

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References

Ackermann, C.; McEnally, R.; and Ravenscraft, D.. “The Performance of Hedge Funds: Risk, Return, and Incentives.” Journal of Finance, 54 (1999), 833–874.Google Scholar
Agarwal, V.; Boyson, N. M.; and Naik, N. Y.. “Hedge Funds for Retail Investors? An Examination of Hedged Mutual Funds.” Journal of Financial and Quantitative Analysis, 44 (2009), 273–305.Google Scholar
Agarwal, V.; Daniel, N. D.; and Naik, N. Y.. “Role of Managerial Incentives and Discretion in Hedge Fund Performance.” Journal of Finance, 64 (2009), 2221–2256.Google Scholar
Aggarwal, R. K., and Jorion, P.. “The Performance of Emerging Hedge Funds and Managers.” Journal of Financial Economics, 96 (2010), 238–256.CrossRefGoogle Scholar
Antoniou, C.; Doukas, J. A.; and Subrahmanyam, A.. “Cognitive Dissonance, Sentiment, and Momentum.” Journal of Financial and Quantitative Analysis, 48 (2013), 245–275.Google Scholar
Aragon, G. O.“Share Restrictions and Asset Pricing: Evidence from the Hedge Fund Industry.” Journal of Financial Economics, 83 (2007), 33–58.Google Scholar
Baker, M., and Wurgler, J.. “Investor Sentiment and the Cross-Section of Stock Returns.” Journal of Finance, 61 (2006), 1645–1680.Google Scholar
Bessembinder, H., and Chan, K.. “The Profitability of Technical Trading Rules in the Asian Stock Markets.” Pacific-Basin Finance Journal, 3 (1995), 257–284.Google Scholar
Bessembinder, H., and Chan, K.. “Market Efficiency and the Returns to Technical Analysis.” Financial Management, 27 (1998), 5–17.Google Scholar
Blume, L.; Easley, D.; and O’Hara, M.. “Market Statistics and Technical Analysis: The Role of Volume.” Journal of Finance, 49 (1994), 153–181.Google Scholar
Brock, W.; Lakonishok, J.; and LeBaron, B.. “Simple Technical Trading Rules and the Stochastic Properties of Stock Returns.” Journal of Finance, 47 (1992), 1731–1764.Google Scholar
Brown, D. P., and Jennings, R. H.. “On Technical Analysis.” Review of Financial Studies, 2 (1989), 527–551.Google Scholar
Brown, S. J.; Fraser, T. L.; and Liang, B.. “Hedge Fund Due Diligence: A Source of Alpha in a Hedge Fund Portfolio Strategy.” Journal of Investment Management, 6 (2008), 23–33.Google Scholar
Brown, S. J.; Goetzmann, W. N.; and Park, J.. “Careers and Survival: Competition and Risks in the Hedge Fund and CTA Industry.” Journal of Finance, 56 (2001), 1869–1886.Google Scholar
Brunnermeier, M. K., and Nagel, S.. “Hedge Funds and the Technology Bubble.” Journal of Finance, 59 (2004), 2013–2040.Google Scholar
Busse, J. A.“Volatility Timing in Mutual Funds: Evidence from Daily Returns.” Review of Financial Studies, 12 (1999), 1009–1041.Google Scholar
Cao, C.; Chen, Y.; Liang, B.; and Lo, A. W.. “Can Hedge Funds Time Market Liquidity?” Journal of Financial Economics, 109 (2013), 493–516.Google Scholar
Cao, C.; Simin, T. T.; and Wang, Y.. “Do Mutual Fund Managers Time Market Liquidity?” Journal of Financial Markets, 16 (2013), 279–307.CrossRefGoogle Scholar
Carhart, M. M.“On Persistence in Mutual Fund Performance.” Journal of Finance, 52 (1997), 57–82.Google Scholar
Chen, Y.“Derivatives Use and Risk Taking: Evidence from the Hedge Fund Industry.” Journal of Financial and Quantitative Analysis, 46 (2011), 1073–1106.Google Scholar
Chen, Y.; Han, B.; and Pan, J.. “Noise Trader Risk and Hedge Fund Returns.” Working Paper, Texas A&M University, University of Toronto, and University of Utah (2014).Google Scholar
Chen, Y., and Liang, B.. “Do Market Timing Hedge Funds Time the Market?” Journal of Financial and Quantitative Analysis, 42 (2007), 827–856.Google Scholar
Covel, M. W. Trend Following: How Great Traders Make Millions in Up or Down Markets. Upper Saddle River, NJ: Prentice Hall (2005).Google Scholar
Da, Z.; Engelberg, J.; and Gao, P.. “The Sum of All Fears: Investor Sentiment and Asset Prices.” Working Paper, University of Notre Dame and University of California at San Diego (2013).Google Scholar
De Long, J. B.; Shleifer, A.; Summers, L. H.; and Waldmann, R. J.. “Noise Trader Risk in Financial Markets.” Journal of Political Economy, 98 (1990), 703–738.Google Scholar
Fama, E. F.“The Behavior of Stock-Market Prices.” Journal of Business, 38 (1965), 34–105.CrossRefGoogle Scholar
Fung, W., and Hsieh, D. A.. “Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds.” Review of Financial Studies, 10 (1997), 275–302.Google Scholar
Fung, W., and Hsieh, D. A.. “Hedge Fund Benchmarks: A Risk-Based Approach.” Financial Analysts Journal, 60 (2004), 65–81.CrossRefGoogle Scholar
Getmansky, M.; Lo, A. W.; and Makarov, I.. “An Econometric Model of Serial Correlation and Illiquidity in Hedge Fund Returns.” Journal of Financial Economics, 74 (2004), 529–610.Google Scholar
Griffin, J. M.; Harris, J. R.; Shu, T.; and Topaloglu, S.. “Who Drove and Burst the Tech Bubble?” Journal of Finance, 66 (2011), 1251–1290.Google Scholar
Grundy, B. D., and McNichols, M.. “Trade and the Revelation of Information through Prices and Direct Disclosure.” Review of Financial Studies, 2 (1989), 495–526.Google Scholar
Han, Y.; Yang, K.; and Zhou, G.. “A New Anomaly: The Cross-Sectional Profitability of Technical Analysis.” Journal of Financial and Quantitative Analysis, 48 (2013), 1433–1461.Google Scholar
Henriksson, R. D., and Merton, R. C.. “On Market Timing and Investment Performance II: Statistical Procedures for Evaluating Forecasting Skills.” Journal of Business, 54 (1981), 513–533.CrossRefGoogle Scholar
Hong, H., and Stein, J. C.. “A Unified Theory of Underreaction, Momentum Trading and Overreaction in Asset Markets.” Journal of Finance, 54 (1999), 2143–2184.Google Scholar
Kavajecz, K. A., and Odders-White, E. R.. “Technical Analysis and Liquidity Provision.” Review of Financial Studies, 17 (2004), 1043–1071.Google Scholar
Liang, B.“Hedge Funds: The Living and the Dead.” Journal of Financial & Quantitative Analysis, 35 (2000), 309–326.Google Scholar
Liang, B.“The Accuracy of Hedge Fund Returns.” Journal of Portfolio Management, 29 (2003), 111–122.Google Scholar
Lo, A. W.“Where Do Alphas Come from? A Measure of Active Investment Management.” Journal of Investment Management, 6 (2008), 1–29.Google Scholar
Lo, A. W., and Hasanhodzic, J.. The Heretics of Finance: Conversations with Leading Practitioners of Technical Analysis. New York: John Wiley & Sons (2009).Google Scholar
Lo, A. W.; Mamaysky, H.; and Wang, J.. “Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation.” Journal of Finance, 55 (2000), 1705–1770.Google Scholar
Menkhoff, L., and Taylor, M. P.. “The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis.” Journal of Economic Literature, 45 (2007), 936–972.Google Scholar
Miller, E. M.“Risk, Uncertainty, and Divergence of Opinion.” Journal of Finance, 32 (1977), 1151–1168.Google Scholar
Neely, C. J.; Rapach, D. E.; Tu, J.; and Zhou, G.. “Forecasting the Equity Risk Premium: The Role of Technical Indicators.” Management Science, 60 (2014), 1772–1791.Google Scholar
Neely, C.; Weller, P.; and Dittmar, R.. “Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach.” Journal of Financial and Quantitative Analysis, 32 (1997), 405–426.Google Scholar
Park, C.-H., and Irwin, S. H.. “What Do We Know about the Profitability of Technical Analysis?” Journal of Economic Surveys, 21 (2007), 786–826.Google Scholar
Schwager, J. D. The New Market Wizards: Conversations with America’s Top Traders. New York: John Wiley & Sons (1995).Google Scholar
Shen, J., and Yu, J.. “Investor Sentiment and Economic Forces.” Working Paper, University of Minnesota (2014).Google Scholar
Shleifer, A., and Summers, L. H.. “The Noise Trader Approach to Finance.” Journal of Economic Perspectives, 4 (1990), 19–33.Google Scholar
Stambaugh, R. F.; Yu, J.; and Yuan, Y.. “The Short of It: Investor Sentiment and Anomalies.” Journal of Financial Economics, 104 (2012), 288–302.Google Scholar
Stambaugh, R. F.; Yu, J.; and Yuan, Y.. “Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle.” Journal of Finance, 70 (2015), 1903–1948.Google Scholar
Teo, M.“The Geography of Hedge Funds.” Review of Financial Studies, 22 (2009), 3531–3561.Google Scholar
Treynor, J. L., and Ferguson, R.. “In Defense of Technical Analysis.” Journal of Finance, 40 (1985), 757–773.Google Scholar
Treynor, J. L., and Mazuy, K.. “Can Mutual Funds Outguess the Market?” Harvard Business Review, 44 (1966), 131–136.Google Scholar
White, H.“A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica, 48 (1980), 817–838.Google Scholar
Yu, J.“A Sentiment-Based Explanation of the Forward Premium Puzzle.” Journal of Monetary Economics, 60 (2013), 474–491.Google Scholar
Yu, J., and Yuan, Y.. “Investor Sentiment and the Mean-Variance Relation.” Journal of Financial Economics, 100 (2011), 367–381.CrossRefGoogle Scholar
Zhu, Y., and Zhou, G.. “Technical Analysis: An Asset Allocation Perspective on the Use of Moving Averages.” Journal of Financial Economics, 92 (2009), 519–544.Google Scholar