The impacts of investor sentiment on returns and conditional volatility of international stock markets
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- 作者：Utku Uygur (1)
Oktay Ta? (1) - 关键词：Noise trader theory ; Investor sentiment ; Conditional volatility ; G02 ; G15
- 刊名：Quality and Quantity
- 出版年：2014
- 出版时间：May 2014
- 年：2014
- 卷：48
- 期：3
- 页码：1165-1179
- 全文大小：200 KB
- 参考文献：1. Baker, M., Stein, J.: Market liquidity as a sentiment indicator. J. Financ. Mark. 7(3), 271-99 (2004)
2. Baker, M., Wurgler, J.: Investor sentiment and the cross-section of stock returns. J. Financ. 61(4), 1645-680 (2006)
3. Baker, M., Wurgler, J.: Investor sentiment in the stock market. NBER Working Paper No. 13189 (2007)
4. Barber, B., Odean, T.: All that glitters, the effect of attention and news on the buying behavior of individual and institutional investors. Rev. Financ. Stud. 21(2), 785-18 (2008)
5. Barberis, N., Shleifer, A., Vishny, R.: A model of investor sentiment. J. Financ. Econ. 49(3), 307-43 (1998)
6. Barberis, N., Thaler, R.: A survey of behavioral finance. In: Handbook of the Economics of Finance, Vol. 1B, pp. 1053-128. Elsevier, Amsterdam (2003)
7. Berk, J., Stanton, R.: A rational model of the closed-end fund discount. NBER Working Paper (2004)
8. Brown, G.W., Cliff, M.T.: Investor sentiment and the near-term stock market. J. Empir. Financ. 11(1), 1-7 (2004)
9. Chan, N., Kan, R., Miller, M.H.: Are the discounts on closed-end funds a sentiment index? J. Financ. 48(2), 795-00 (1993)
10. Chan, S.Y., Fong, W.: Individual investors-sentiment and temporary stock price pressure. J. Bus. Financ. Acc. 31(5 & 6), 823-36 (2004)
11. Daniel, K., Hirshleifer, D., Subrahmanyam, A.: Investor psychology and security market under- and overreactions. J. Financ. 53, 1839-885 (1998)
12. Engle, R.F.: Autoregressive conditional heteroscedasticity with estimates of the variance of united kingdom inflation. Econometrica 50(4), 987-007 (1982)
13. Engle, R.F.: The use of arch/garch models in applied econometrics. J. Econ. Perspect. 15(4), 157-68 (2001)
14. Fama, E.F.: The behavior of stock market prices. J. Bus. 38(1), 34-05 (1965)
15. Fama, E.F.: Efficient capital markets, a review of theory and empirical work. J. Financ. 25(2), 383-17 (1970)
16. Fisher, K.L., Statman, M.: Investor sentiment and stock returns. Financ. Anal. J. 56(2), 16-3 (2000)
17. Glosten, L.R., Jagannathan, R., Runkle, D.E.: On the relation between the expected value and the volatility and the volatility of the nominal excess returns on stocks. J. Financ. 48(5), 1779-801 (1993)
18. Kaniel, R., Saar, G., Titman, S.: Individual investor sentiment and stock returns. NYU Working Paper No. FIN-04-023 (2004)
19. Karlsson, N., Seppi, D.J., Loewenstein, G.: The ostricht effect, selective attention to information about investments. Working Paper Series (2005)
20. Kleidon, A.W.: Anomalies in financial economics. J. Bus. 59, 285-16 (1986)
21. Lee, C.M.C., Shleifer, A., Thaler, R.: Investor sentiment and the closed-end fund puzzle. J. Financ. 46(1), 75-09 (1991)
22. Lee, W.Y., Jiang, C.X., Indro, D.C.: Stock market volatility, excess returns, and the role of investor sentiment. J. Bank. Financ. 26, 2277-299 (2002)
23. Lemmon, M., Portniaguina, E.: Consumer confidence and asset prices, some empirical evidence. Rev. Financ. Stud. 19, 1499-529 (2006)
24. Leroy, S.F., Porter, R.D.: Stock price volatility, tests based on implied variance bounds. Econometrica 49, 97-13 (1981)
25. Long, D., Bradford, J., Shleifer, A., Summers, L.H., Waldmann, R.J.: Noise trader risk in financial markets. J. Polit. Econ. 98(4), 703-38 (1990)
26. Malkiel, B.G.: The valuation of closed-end investment-company shares. J. Financ. 32(3), 847-59 (1977)
27. Marsh, T.A., Merton, R.C.: Dividend variability and variance bounds tests for the rationality of stock market prices. Am. Econ. Rev. 76(3), 483-98 (1986)
28. Poon, S., Granger, C.W.J.: Forecasting volatility in financial markets, a review. J. Econ. Lit. 41(2), 478-39 (2003)
29. Qiu, L., Welch, I.: Investor sentiment measures. NBER Working Paper Series (2004)
30. Ross, S.A.: Neoclassical Finance. Princeton University Press, Princeton (2005)
31. Samuelson, P.A.: Proof that properly anticipated prices fluctuate randomly. Ind. Manag. Rev. 6(2), 41-9 (1965)
32. Scheinkman, J., Xiong, W.: Overconfidence and speculative bubbles. J. Polit. Econ. 111, 1183-219 (2003)
33. Shefrin, H.: Risk and return in behavioral SDF-based asset pricing models. Working Paper (2007)
34. Shiller, R.J.: The use of volatility measures in assessing market efficiency. NBER Working Paper No. 565 (1981)
35. Shleifer, A., Summers, L.H.: The noise trader approach to finance. J. Econ. Perspect. 4(2), 19-3 (1990)
36. Shleifer, A., Vishny, R.: The limits of arbitrage. J. Financ. 52, 35-5 (1997)
37. Spiegel, M.: Closed-end fund discounts in a rational agent economy. University of California, Berkeley (1997). Haas School of Business
38. Uygur, U., Ta?, O.: Modeling the effects of investor sentiment and conditional volatility in international stock markets. J. Appl. Financ. Bank. 2(5), 239-60 (2012)
39. Verma, R., Verma, P.: Noise trading and stock market volatility. J. Multinatl. Financ. Manag. 17, 231-43 (2006)
40. Wang, C.C.: Investor sentiment and return predictability in agricultural futures markets. J. Future Mark. 21(10), 929-52 (2001)
41. Wang, Y., Li, C., Lin, C.: The impact of investor sentiment on the futures market, evidence from the Taiwan futures exchange. Int. Res. J. Financ. Econ. 28, 134-51 (2009)
42. Yu, J., Yuan, Y.: Investor sentiment and the mean–variance relation. J. Financ. Econ. 100(2), 367-81 (2010)
43. Yuan, Y.: Attention and trading. University of Pennsylvania, Working paper (2008)
44. Zweig, M.E.: An investor expectations stock price predictive model using close-end fund premiums. J. Financ. 28(1), 67-8 (1973) - 作者单位：Utku Uygur (1)
Oktay Ta? (1)
1. Istanbul Technical University, Faculty of Management, Department of Management Engineering, Istanbul, Turkey - ISSN：1573-7845
文摘
One of the main arguments of behavioral finance is that some properties of asset prices are most probably regarded as deviations from fundamental value and they are generated by the participation of traders who are not fully rational, thus called noise traders. Noise trader theory postulates that sentiment traders have greater impact during high-sentiment periods than during low-sentiment periods, and sentiment traders miscalculate the variance of returns undermining the mean-variance relation. The main objective of this research is to construct a model to evaluate the returns and conditional volatility of various stock market indexes considering the changes in the investor sentiment by measuring the effects of noise trader demand shocks on returns and volatility. EGARCH model is used to determine whether earning shocks have more influence on the conditional volatility in high sentiment periods weakening the mean–variance relation. This paper takes an international approach using weekly market index returns of U.S., Japan, Hong Kong, U.K., France, Germany, and Turkey. Weekly trading volumes of these indexes are regressed against a group of macroeconomic variables and the residuals are used as proxies for investor sentiment and significant evidence is found that there is asymmetric volatility in these market indexes and earning shocks have more influence on conditional volatility when the sentiment is high.