Fama and French's (1992) assertion that investors receive premium payments for risk associated with the book value to market price (BE/ME) and size and not for holding beta risk has sparked a lively debate concerning risk factors that are priced in the market. Howton and Peterson (1998) use a dual-beta model to test the Fama and French conclusions. They conclude that the significant relationship between beta and returns depends on the use of the dual-beta model. This work, however, ignores the results reported by Pettengill, Sundaram, and Mathur (PSM, 1995). PSM find a significant relation between a constant risk beta and returns when data are segmented between up and down markets, but do not consider the impact of size and BE/ME. In this paper we show that the PSM (1995) market segmentation procedure alone provides a sufficient condition to identify a significant relation between beta and returns in
This paper documents unusual return patterns for securities around holiday closings. Returns for trading days immediately before holiday closings (pre-holiday trading days) are unusually high regardless of weekday, year, or holiday closing. Returns for trading days following holiday closings (post-holiday trading days) are high only if they occur at the end of the week. Tests indicate that pre-holiday returns do not respond to a closing effect, and that the post-holiday returns do not result from a time-diffusion process. Holiday trading day returns question the tax-loss selling explanation of the turn-of-the-year effect and display a significant small firm effect outside of January.
In this study, an integrated model of return seasonality is developed and the hypothesis that seasonality is associated with changes in relative trading volume is examined. Return regularities associated with the turn of the month, the week of the month, and holiday closings are documented. Beyond these effects, neither the turn of the year nor the January effect is significant for large firms. Relative volume is shown to display calendar regularities similar to those in returns, and tests indicate a causal relationship flowing from volume to returns.
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