透過您的圖書館登入
IP:3.141.8.247

摘要


Despite the gulf between the diehard advocates of efficient market hypothesis and many academics as well as industry practitioners, it seems fair to say that the issue of predictability of prices remains unsettled and much remains to be done. Going beyond the ordinary least squares (OLS) result of a positive autocorrelation in the returns on the index and index futures in Taiwan, we document significant variations in autocorrelation, as well as returns, across the spectrum of returns based on quantile regressions. Autocorrelation is significantly positive among higher quantile returns. Additionally, there is clear evidence of asymmetric effects of the sign of past returns on autocorrelation between lower and higher quantile. We further show that in the post-subprime financial crisis, autocorrelation is higher for the lower quantile returns, indicating returns are more sensitive to past returns in bear market. The robustness of these results are exhibited in weekly and monthly returns. Notably, we find fresh evidence of a structure downward shift for lower quantile returns and upward shift for higher quantile returns.

參考文獻


Baur, D. G.,Dimpfl, T.,Jung, R. C.(2012).Stock return autocorrelations revisited: A quantile regression approach.Journal of Empirical Finance.19,254-265.
Ceretta, P. S.,Righi, M. B.,Muller, F. M.(2012).Quantiles autocorrelation in stock markets returns.Economics Bulletin.32,2065-2075.
Chiang, T. C.,Doong, S.-C.(2001).Empirical analysis of stock returns and volatility: Evidence from seven Asian stock markets based on TARGARCH model.Review of Quantitative Finance and Accounting.17,301-318.
Chou, P.-H.(1997).A Gibbs sampling approach to the estimation of linear regression models under daily price limits.Pacific-Basin Finance Journal.5,39-62.
Chow, G. C.(1960).Tests of equality between sets of coefficients in two linear regressions.Econometrica.28,591-605.

延伸閱讀