Chinese institutional investors' sentiment
We use daily survey data on Chinese institutional investors' forecasts to measure investors' sentiment. Our empirical model uncovers that share prices and investor sentiment do not have a long-run relation; however, in the short-run, the mood of investors follows a positive-feedback process. Hence, institutional investors are optimistic when previous market returns were positive. Contrarily, negative returns trigger a decline in sentiment, which reacts more sensitively to negative than positive returns. Investor sentiment does not predict future market movements--but a drop in confidence increases market volatility and destabilizes exchanges. EGARCH models reveal asymmetric responses in the volatility of investor sentiment; however, Granger causality tests reject volatility-spillovers between returns and sentiment.
Volume (Year): 18 (2008)
Issue (Month): 4 (October)
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- Martin T. Bohl & Janusz Brzeszczynski, 2005.
"Do Institutional Investors Destabilize Stock Prices? Evidence from an Emerging Market,"
CERT Discussion Papers
0501, Centre for Economic Reform and Transformation, Heriot Watt University.
- Bohl, Martin T. & Brzeszczynski, Janusz, 2006. "Do institutional investors destabilize stock prices? evidence from an emerging market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 370-383, October.
- Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990.
"Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?,"
8905, Michigan State - Econometrics and Economic Theory.
- Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
- Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
- Andrei Shleifer & Robert W. Vishny, 1995.
"The Limits of Arbitrage,"
NBER Working Papers
5167, National Bureau of Economic Research, Inc.
- Andrei Shleifer ad Robert W. Vishny, 1995. "The Limits of Arbitrage," Harvard Institute of Economic Research Working Papers 1725, Harvard - Institute of Economic Research.
- Malcolm Baker & Jeremy C. Stein, 2002.
"Market Liquidity as a Sentiment Indicator,"
Harvard Institute of Economic Research Working Papers
1977, Harvard - Institute of Economic Research.
- Tim Bollerslev, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
EERI Research Paper Series
EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Culter, D.M. & Poterba, J.M. & Summers, L.H., 1990.
"Speculative Dynamics And The Role Of Feedback Traders,"
545, Massachusetts Institute of Technology (MIT), Department of Economics.
- Cutler, David M & Poterba, James M & Summers, Lawrence H, 1990. "Speculative Dynamics and the Role of Feedback Traders," American Economic Review, American Economic Association, vol. 80(2), pages 63-68, May.
- David M. Cutler & James M. Poterba & Lawrence H. Summers, 1990. "Speculative Dynamics and the Role of Feedback Traders," NBER Working Papers 3243, National Bureau of Economic Research, Inc.
- Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992.
"Efficient Tests for an Autoregressive Unit Root,"
NBER Technical Working Papers
0130, National Bureau of Economic Research, Inc.
- Cai, Fang & Zheng, Lu, 2004. "Institutional trading and stock returns," Finance Research Letters, Elsevier, vol. 1(3), pages 178-189, September.
- Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
- Charles M. Jones & Owen A. Lamont, 2001.
"Short Sale Constraints and Stock Returns,"
NBER Working Papers
8494, National Bureau of Economic Research, Inc.
- Siegel, Jeremy J, 1992. "Equity Risk Premia, Corporate Profit Forecasts, and Investor Sentiment around the Stock Crash of October 1987," The Journal of Business, University of Chicago Press, vol. 65(4), pages 557-70, October.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
- Nicholas Barberis & Andrei Shleifer & Robert W. Vishny, 1997.
"A Model of Investor Sentiment,"
NBER Working Papers
5926, National Bureau of Economic Research, Inc.
- Joao Gomes & Leonid Kogan & Lu Zhang, 2003.
"Equilibrium Cross Section of Returns,"
Journal of Political Economy,
University of Chicago Press, vol. 111(4), pages 693-732, August.
- Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-31, February.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1990.
"Noise Trader Risk in Financial Markets,"
3725552, Harvard University Department of Economics.
- Neal, Robert & Wheatley, Simon M., 1998. "Do Measures of Investor Sentiment Predict Returns?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(04), pages 523-547, December.
- John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
- Kelly, M., 1996.
"Do Noise Traders Influence Stock Prices,"
96/5, College Dublin, Department of Political Economy-.
- Blinder, Alan S, 1991.
"Why Are Prices Sticky? Preliminary Results from an Interview Study,"
American Economic Review,
American Economic Association, vol. 81(2), pages 89-96, May.
- Alan S. Blinder, 1991. "Why are Prices Sticky? Preliminary Results from an Interview Study," NBER Working Papers 3646, National Bureau of Economic Research, Inc.
- Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
- Brian Aitken, 1998. "Have Institutional Investors Destabilized Emerging Markets?," Contemporary Economic Policy, Western Economic Association International, vol. 16(2), pages 173-184, 04.
- Chen, Cathy W. S., 1998. "A Bayesian analysis of generalized threshold autoregressive models," Statistics & Probability Letters, Elsevier, vol. 40(1), pages 15-22, September.
- Malcolm Baker & Jeffrey Wurgler, 2006.
"Investor Sentiment and the Cross-Section of Stock Returns,"
Journal of Finance,
American Finance Association, vol. 61(4), pages 1645-1680, 08.
- Malcolm Baker & Jeffrey Wurgler, 2004. "Investor Sentiment and the Cross-Section of Stock Returns," NBER Working Papers 10449, National Bureau of Economic Research, Inc.
- Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
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