题名

投資人情緒對低波動異常現象的預測力:市場狀態的影響

并列篇名

Predictability of Investor Sentiment of "Low-volatility Anomaly" in Distinct Market States

DOI

10.6504/JOM.2015.32.04.04

作者

許菁旂(Chi-Ching Hsu);黃文聰(Wen-Tsung Huang);黃振聰(Jen-Jsung Huang)

关键词

低波動異常現象 ; 投資人情緒 ; 彩券型偏好 ; 市場狀態 ; Low volatility anomaly ; Investor sentiment ; Preferences for lottery-type stocks ; Market states

期刊名称

管理學報

卷期/出版年月

32卷4期(2015 / 12 / 01)

页次

399 - 424

内容语文

繁體中文

中文摘要

高風險股票具有低報酬的低波動異常現象(low volatility anomaly)與標準財務學的風險-報酬正向抵換(trade-off)關係背道而馳。由於行為財務學認為低波動異常現象可能來自於投資人的彩劵型偏好(lottery preference),本文觀察高波動度投資組合的風險調整後報酬(risk-adjusted return)在高投資人情緒(investor sentiment)期間是否低於低投資人情緒期間,並檢測投資人情緒因子是否可預測低波動異常現象及探討投資人情緒因子對低波動異常現象的預測力在不同景氣期間是否具有不對稱性。研究結果證實存在低波動異常現象,且高波動度投資組合的風險調整後報酬在高投資人情緒期間顯著低於低投資人情緒期間;前述結果顯示投資人情緒因子能預測低波動異常現象。此外,我們發現只有在景氣擴張期間,投資人情緒因子可預測低波動策略(low-volatility strategy)的獲利(profit);亦即表示由於投資人的樂觀情緒能加強彩劵型偏好,因此在景氣擴張期間,散戶對高波動度股票的需求提高。

英文摘要

A "low volatility anomaly", namely, a high-risk stock with a low return, runs counter to fundamental principles in which risk is compensated by a higher expected return. Behavioral theory explains that individual investors prefer stocks with lottery-like payoffs, leading to increases in demand for higher-volatility stocks. We hypothesized that the risk-adjusted returns of higher-volatility stocks (lottery-like stocks) should be more profitable in periods of high sentiment than in periods of low sentiment. Furthermore, this paper investigated whether investor sentiment predicts profit in low-volatility strategy and whether investor sentiment is more predictable in an expansion state. Specifically, we show that the lowvolatility anomaly exists, and stocks with greater volatility are more profitable following high investor sentiment levels. Moreover, we demonstrate that investor sentiment can predict profit in the low-volatility strategy and show that investor sentiment only has predictive power for low-volatility anomaly in the expansion state. Consequently, these results provide further evidence that investor optimism increases preferences for lottery-type stocks; as a result, individual investors demand higher volatility stocks more frequently in the expansion state.

主题分类 社會科學 > 管理學
参考文献
  1. Ang, A.,Chen, J.(2007).CAPM over the long run: 1926-2001.Journal of Empirical Finance,14(1),1-40.
  2. Ang, A.,Hodrick, R. J.,Xing, Y.,Zhang, X.(2009).High idiosyncratic volatility and low returns: International and further US evidence.Journal of Financial Economics,91(1),1-23.
  3. Ang, A.,Hodrick, R. J.,Xing, Y.,Zhang, X.(2006).The cross ‐ section of volatility and expected returns.Journal of Finance,61(1),259-299.
  4. Baker, M.,Bradley, B.,Wurgler, J.(2011).Benchmarks as limits to arbitrage: Understanding the lowvolatility anomaly.Financial Analysts Journal,67(1),40-54.
  5. Baker, M.,Wurgler, J.(2006).Investor sentiment and the cross‐section of stock returns.Journal of Finance,61(4),1645-1680.
  6. Baker, M.,Wurgler, J.(2007).Investor sentiment in the stock market.Journal of Economic Perspectives,21(2),129-152.
  7. Bali, T. G.,Cakici, N.(2008).Idiosyncratic volatility and the cross section of expected returns.Journal of Financial and Quantitative Analysis,43(1),29-58.
  8. Bali, T. G.,Cakici, N.,Whitelaw, R. F.(2011).Maxing out: Stocks as lotteries and the cross-section of expected returns.Journal of Financial Economics,99(2),427-446.
  9. Barber, B.,Odean, T.(2008).All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors.Review of Financial Studies,21(2),785-818.
  10. Barber, B.,Odean, T.,Zhu, N.(2009).Systematic noise.Journal of Financial Markets,12(4),547-569.
  11. Barberis, N.,Huang, M.(2008).Stocks as lotteries: the implications of probability weighting for security prices.American Economic Review,98(5),2066-2100.
  12. Barberis, N.,Shleifer, A.,Wurgler, J.(2005).Comovement.Journal of Financial Economics,75(2),283-317.
  13. Black, F.(1972).Capital market equilibrium with restricted borrowing.The Journal of Business,45(3),444-455.
  14. Blitz, D. C.,van Vliet, P.(2007).The volatility effect.The Journal of Portfolio Management,34(1),102-113.
  15. Bris, A.,Goetzmann, W. N.,Zhu, N.(2007).Efficiency and the bear: Short sales and markets around the world.Journal of Finance,62(3),1029-1079.
  16. Brown, G. W.,Cliff, M. T.(2005).Investor sentiment and asset valuation.The Journal of Business,78(2),405-440.
  17. Brunnermeier, M. K.,Gollier, C.,Parker, J. A.(2007).Optimal beliefs,asset prices and the preference for skewed returns.American Economic Review,97(2),159-165.
  18. Carhart, M. M.(1997).On persistence in mutual fund performance.Journal of Finance,52(1),57-82.
  19. Chabi-Yo, F.(2011).Explaining the idiosyncratic volatility puzzle using Stochastic Discount Factors.Journal of Banking and Finance,35(8),1971-1983.
  20. Chang, E. C.,Cheng, J. W.,Yu, Y.(2007).Short‐sales constraints and price discovery: Evidence from the Hong Kong market.Journal of Finance,62(5),2097-2121.
  21. Chung, S. L.,Hung, C. H.,Yeh, C. Y.(2012).When does investor sentiment predict stock returns?.Journal of Empirical Finance,19(2),217-240.
  22. Daniel, K.,Hirshleifer, D.,Subrahmanyam, A.(1998).Investor psychology and security market under‐and overreactions.Journal of Finance,53(6),1839-1885.
  23. De Long, J. B.,Shleifer, A.,Summers, L. H.,Waldmann, R. J.(1990).Noise trader risk in financial markets.Journal of Political Economy,98(4),703-738.
  24. Dutt, T.,Humphery-Jenner, M.(2013).Stock return volatility, operating performance and stock returns: International evidence on drivers of the 'low volatility' anomaly.Journal of Banking and Finance,37(3),999-1017.
  25. Fabozzi, F. J.(Ed.)(2004).The theory and practice of short selling: Risks, rewards, strategies.Hoboken:John Wiley & Sons.
  26. Fama, E. F.,French, K. R.(1993).Common risk factors in the returns on stocks and bonds.Journal of Financial Economics,33(1),3-56.
  27. Fong, W. M.,Toh, B.(2014).Investor sentiment and the MAX effect.Journal of Banking and Finance,46,190-201.
  28. Garrett, T. A.,Sobel, R. S.(1999).Gamblers favor skewness,not risk: Further evidence from United States' lottery games.Economics Letters,63(1),85-90.
  29. Guo, H.,Savickas, R.(2010).Relation between timeseries and cross-sectional effects of idiosyncratic variance on stock returns.Journal of Banking and Finance,34(7),1637-1649.
  30. Han, B.,Kumar, A.(2013).Speculative retail trading and asset prices.Journal of Financial and Quantitative Analysis,48(2),377-404.
  31. Jagannathan, R.,Wang, Z.(1996).The conditional CAPM and the cross‐section of expected returns.Journal of Finance,51(1),3-53.
  32. Kumar, A.(2009).Who gambles in the stock market?.Journal of Finance,64(4),1889-1933.
  33. Kumar, A.,Lee, C. M. C.(2006).Retail investor sentiment and return comovements.Journal of Finance,61(5),2451-2486.
  34. Lewellen, J.,Nagel, S.(2006).The conditional CAPM does not explain asset-pricing anomalies.Journal of Financial Economics,82(2),289-314.
  35. Markowitz, H.(1952).The utility of wealth.Journal of Political Economy,60(2),151-158.
  36. Merton, R. C.(1987).A simple model of capital market equilibrium with incomplete information.Journal of Finance,42(3),483-510.
  37. Miller, E. M.(1977).Risk, uncertainty, and divergence of opinion.Journal of Finance,32(4),1151-1168.
  38. Mitton, T.,Vorkink, K.(2007).Equilibrium underdiversification and the preference for skewness.Review of Financial Studies,20(4),1255-1288.
  39. Ofek, E.,Richardson, M.,Whitelaw, R. F.(2004).Limited arbitrage and short sales restrictions: Evidence from the options markets.Journal of Financial Economics,74(2),305-342.
  40. Palfrey, T. R.,Wang, S. W.(2012).Speculative overpricing in asset markets with information flows.Econometrica,80(5),1937-1976.
  41. Peterson, D. R.,Smedema, A. R.(2011).The return impact of realized and expected idiosyncratic volatility.Journal of Banking and Finance,35(10),2547-2558.
  42. Riley, T. B.(2014).Lexington,University of Kentucky.
  43. Sahm, C. R.(2012).How much does risk tolerance change?.The Quarterly Journal of Finance,2(4)
  44. Sharpe, W. F.(1964).Capital asset prices: A theory of market equilibrium under conditions of risk.Journal of Finance,19(3),425-442.
  45. Shleifer, A.,Vishny, R. W.(1997).The limits of arbitrage.Journal of Finance,52(1),35-55.
  46. Stambaugh, R. F.,Yu, J.,Yuan, Y.(2012).The short of it: Investor sentiment and anomalies.Journal of Financial Economics,104(2),288-302.
  47. Thaler, R. H.,Ziemba, W. T.(1988).Parimutuel betting markets: Racetracks and lotteries.Journal of Economic Perspectives,2(2),161-174.
  48. Tversky, A.,Kahneman, D.(1992).Advance in prospect theory: Cumulative representation of uncertainty.Journal of Risk and Uncertainty,5(4),297-323.
  49. Walker, I.,Young, J.(2001).An economist's guide to lottery design.Economic Journal,111(475),700-722.
  50. Yu, J.,Yuan, Y.(2011).Investor sentiment and the mean-variance relation.Journal of Financial Economics,100(2),367-381.
被引用次数
  1. 樓楠萱,王子湄(2021)。賭博偏好、交易型態與樂透股超額報酬共變的關聯性。臺大管理論叢,31(3),85-159。
  2. 趙慶祥,葉錦徽,梁景婷(2022)。情緒與總經宣告對風險與期望報酬抵換關係之影響。證券市場發展季刊,34(1),135-176。