In this paper we show that Indian stock returns, based on industry portfolios, portfolios sorted on book-to-market, and on size, are predictable. While we discover that this predictability holds both in in-sample and out-of-sample tests, predictability is not homogenous. Some predictors are important than others and some industries and portfolios of stocks are more predictable and, therefore, more profitable than others. We also discover that a mean combination forecast approach delivers significant out-of-sample performance. Our results survive a battery of robustness tests
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
In this paper our goal is to examine the importance of skewness in decision making, in particular on...
We analyze return predictability for the Chinese stock market, including the aggregate mar-ket portf...
We examine stock return predictability for India and find strong evidence of sectoral return predict...
In this paper, using a range of technical trading and momentum trading strategies, we show that the ...
In this paper, using a range of technical trading and momentum trading strategies, we show that the ...
Research Doctorate - Doctor of Philosophy (PhD)Stock return predictability has been a subject of con...
The predictability of stock returns is assessed in 10 countries using the linear predictive regressi...
This article builds on the widely debated issue of stock return predictability by applying a broad r...
Using the sharia-compliant measures, we compile a data set that spans January 1981 to December 2014 ...
This paper examines the idiosyncratic volatility (IV) puzzle in the Indian stock market for the peri...
In this paper, we undertake an extensive analysis of in-sample and out-of-sample tests of stock retu...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
In this paper our goal is to examine the importance of skewness in decision making, in particular on...
We analyze return predictability for the Chinese stock market, including the aggregate mar-ket portf...
We examine stock return predictability for India and find strong evidence of sectoral return predict...
In this paper, using a range of technical trading and momentum trading strategies, we show that the ...
In this paper, using a range of technical trading and momentum trading strategies, we show that the ...
Research Doctorate - Doctor of Philosophy (PhD)Stock return predictability has been a subject of con...
The predictability of stock returns is assessed in 10 countries using the linear predictive regressi...
This article builds on the widely debated issue of stock return predictability by applying a broad r...
Using the sharia-compliant measures, we compile a data set that spans January 1981 to December 2014 ...
This paper examines the idiosyncratic volatility (IV) puzzle in the Indian stock market for the peri...
In this paper, we undertake an extensive analysis of in-sample and out-of-sample tests of stock retu...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahea...
In this paper our goal is to examine the importance of skewness in decision making, in particular on...
We analyze return predictability for the Chinese stock market, including the aggregate mar-ket portf...