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Does Sentiment Risk Persist as Priced Risk Factor? A Multifactor Approach for Stock Return
Published in Elsevier BV
Pages: 1 - 25

Much of the academic debate has gone in to exploring the better asset pricing model that can explain the quantification of the trade-off between risk and expected return for the cross section of stock return. Nevertheless this intimidating task becomes more pragmatic given the market structure of emerging markets, liquidity effects, market inefficiency, and more significantly the presence of inherent imperfect rationality or sentiment. The basic objective of this paper is to evaluate the pricing implication of unconditional five factor model to explain the cross sectional stock return behaviour in the context of Indian stock market. Our analysis also aims to examine the pricing nature of aggregate market wide sentiment risk in the presence of other risk factors. We employ Fama and French time series regression approach to examine the impact of market risk premium, size, book-to-market equity, momentum and liquidity as risk factors on stock return. Our empirical results show that given the multidimensional nature of risk the choice of a five factor model is apparently persuasive for consideration in investment decisions. However, inconsistent with prior literature book-to-market equity fails to explain the average return in case of large stocks, and pricing evidence of momentum profits fades in case of winner stocks and momentum strategy retains its value only for the sell side transactions i.e., loser portfolios. With the presence of liquidity factor in the five factor model specification, the results suggest that liquidity is priced and explains a cross sectional variation in stock returns. Our results also suggest that it is na"ive to argue for the universal pricing implication of sentiment risk in a multifactor model framework, and market wide risk factors resume their importance as rational source of priced risk.

About the journal
JournalData powered by TypesetSSRN Electronic Journal
PublisherData powered by TypesetElsevier BV
Open AccessYes