Margin requirements, positive feedback trading, and stock return autocorrelations: The case of Japan

Applied Financial Economics

Volumn 12, Issue 6, 2002, Pages 395-403

  Watanabe, Toshiaki ^a  

^a TOKYO METROPOLITAN UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; MARKET CONDITIONS; STOCK MARKET;

JAPAN;

EID: 0036275008     PISSN: 09603107     EISSN: None     Source Type: Journal    
DOI: 10.1080/09603100110090163     Document Type: Article

References (35)

1. Information theory and an extension of the maximum likelihood principle
2. Nonsynchronous security trading and market index autocorrelation
3. Studies of stock market volatility changes
4. A conditional heteroskedastic time series model for speculative prices and rates of return
5. ARCH models
6. A tale of three schools: Insights on autocorrelations of short-horizon stock returns
7. A test for independence based on the correlation dimension
8. Imperfect information and cross-autocorrelation among stock returns
9. The stochastic behavior of common stock variances: Value, leverage and interest rate effects
10. Time-variation in expected returns
11. The behavior of stock prices
12. Stock return variances: The arrival of information and the reaction of traders
13. Margin requirements, speculative trading, and stock price fluctuations: The case of JAPAN
14. Chaos and nonlinear dynamics: Applications to financial markets
15. Margin requirements and stock market volatility
16. Test for normality of observations and regression residuals
17. Feedback trading and the autocorrelation pattern of stock returns: Further empirical evidence
18. Some relations between volatility and serial correlation in stock market returns
19. Stock market prices do not follow random walk: Evidence from a simple specification test
20. An econometric analysis of nonsynchronous trading
21. Portfolio return autocorrelation
22. Conditional heteroskedasticity in asset returns: A new approach
23. Stock market margin requirements and volatility
24. Nonlinear dynamics and stock returns
25. Estimating betas from non-synchronous data
26. Estimating the dimension of a model
27. Margin requirements and stock volatility
28. Feedback traders and stock return autocorrelations: Evidence from a century of daily data
29. Stock prices and social dynamics
30. Return autocorrelation and institutional investors
31. Excess kurtosis of conditional distribution for daily stock returns: The case of Japan