Search results

This paper analyzes the roles of idiosyncratic risk and firm-level conditional skewness in determining cross-sectional returns. It is shown that the traditional EGARCH estimates of conditional idiosyncratic volatility may bring significant finite sample estimation bias in the presence of non-Gaussianity. We propose a new estimator that has more robust sampling performance than the EGARCH MLE in the presence of heavy-tail or skewed innovations. Our cross-sectional portfolio analysis demonstrates that the idiosyncratic volatility puzzle documented by Ang, Hodrick, Xiang, and Zhang (2006) exists intertemporally. We conduct further analysis to solve the puzzle. We show that two factors idiosyncratic variance and individual conditional skewness play important roles in determining cross-sectional returns. A new concept, the “expected windfall,” is introduced as an alternate measure of conditional return skewness. After controlling for these two additional factors, we solve the major piece of this puzzle: Our cross-sectional regression tests identify a positive relationship between conditional idiosyncratic volatility and expected returns for over 99% of the total market capitalization of the NYSE, NASDAQ, and AMEX stock exchanges.

This paper explores the relationship between size, book-to-market, beta, and expected stock returns in the U.S. Information Technology sector over the July 1990–June 2001 period. Two models, the multivariate model and the three-factor model, are employed to test these relationships. The risk-return tests confirm the relationship between size, book-to-market, beta and stock returns in IT stocks is different from that in other non-financial stocks. However, the sub-period results (the periods before and after the technology crash in April 2000) show that the nature of the relationship between stock returns, size, book-to-market, and market factors, or the magnitude of the size, book-to-market, and market premiums, is on average unchanged for both sub-periods. This result suggests the technology stock crash in April 2000 was not a correction of stock prices.

Using data from securities analysts, who are awarded status by the third-party organization Institutional Investor magazine, we examine the emergence of competition and articulate a model of competitive response among actors aware of the importance of status and some of the dimensions on which it may be gained. We predict analysts’ initiating or ceasing coverage of stocks in response to other analysts initiating coverage on stocks they cover. We find that competition can emerge because of status seeking rather than as a response to own capabilities or market needs, with compelling, and potentially negative, market implications for overt status seeking.

Previous studies showed mixed results as to the cause of myopic loss aversion (MLA). This paper reexamines the main driver of MLA, considering two factors from previous studies and an additional factor.

Experimentally investigate whether flexibility of investment, frequency of information feedback, or timing of decision cause MLA.

Timing of decision and flexibility of investment explain most differences in subject behavior. Frequency of information feedback makes only a marginal contribution.

The differences in subject behavior can be interpreted by a shift in their reference points depending on the difference in flexibility of investment, frequency of information feedback, or timing of decision.

Ever since the publication of the original Jegadeesh and Titman (1993) study, momentum effect has been tested vigorously to validate its pervasiveness for different time periods and across different markets. In spite of numerous out-of-sample tests, there is one apparent alibi – little research has been devised for steady increasing of Shari’ah compliant stocks.

This study is to examine the momentum strategy returns in a global Shari’ah compliant stock setting.

It finds strong presence of stock momentum returns for Pakistan and Malaysia. And the momentum returns are neither driven by industry momentum nor by the small size stocks. Though no momentum profits are found for the portfolios formed by global Shari’ah compliant stocks, this seems to be largely due to return reversal for the small size Shari’ah compliant stocks.

The strong presence of momentum profits for relatively large Shari’ah compliant stocks is a desirable trait as it indicates that the momentum trading strategies are practical and implementable.

The study discussed in this article examines two empirical questions: (1) Can multiple financial signals enhance the intermediate-horizon returns of value and glamour investments on Asian stock markets? and (2) Do the return enhancements, if any, differ by value and growth firm types and vary across different markets? The results of this study show that financial signals affect return enhancements, and these enhancements differ by firm types and vary across markets. These differences can be explained by non-positive value premiums and relatively poor information quality documented on Asian markets.

This study aims to investigate whether the zero-investment portfolio strategy generates higher excess returns for all listed companies in the Stock Exchange of Thailand (SET) or ESG100 stocks. The study period is from January 2016 to December 2020, a total of 60 months. The dividend yield is employed for categorizing the stock into value and growth stocks. The strategy of buying value stocks and short-selling growth stocks is then applied. The results show that investing using the zero-investment portfolio strategy can generate higher returns in an investment portfolio that consists of ESG100 stocks than in an investment portfolio that consists of all stocks in the SET. The optimal holding periods for investing in portfolios that consist of stocks in the SET are 6 months, 9 months, and 12 months, and the optimal holding periods for a portfolio that consists of ESG100 stocks is 6 months. To explain excess returns of stocks in the SET, the Fama and French (2015) five-factor model is employed. There is no relation between risk factors and excess returns for the holding period of 6 months and 12 months. However, excess return is found to have a negative relation with the market risk premium factor for a 9-month holding period. The excess returns of ESG100 stocks are also inversely correlated with investment factors for a holding period of 6 months.