The paper investigates the issue of behaviour of stock returns in India. A non-parametric variance ratio test is used to examine the issue. Largely the results indicate non-random walk behaviour of Indian stock market. However, the sub-sample analysis of stock returns based on structural breaks...

Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation functions of the squared or log-squared returns. GARCH models extensively used in empirical analysis do not account for long memory in volatility. The present paper examines the issue of long memory in...

The paper examines the long memory in stock returns of emerging markets. Unlike earlier studies, present study carries out a biased reduced semi-parametric test to detect long memory in mean process and uses diverse and updated data set. The test results finds no strong evidence of long memory...

This paper re-examines the issue of mean-reversion in Indian equity market. Unlike earlier studies, the present paper carries out multiple structural breaks test and uses new and disaggregated data set. The study found significant structural breaks in the returns series of all selected indices...

This paper examines the stock return behaviour in two premier Indian stock markets using Chow-Denning multiple variance ratio and Hinich bicorrelation tests. The former test overcomes size distortion of conventional variance ratio test. The latter test is capable of detecting linear and...

An attempt is made in this paper to examine whether stock returns in two premier two exchanges in India namely, Bombay Stock Exchange (BSE), and National Stock Exchange (NSE) follow a random walk. Towards this end, data on major indices during the period 1997 to 2009 are analyzed by using...