Another January effect—evidence from stock split announcements

This paper examines whether there is a January effect in the propensity and abnormal returns of stock split announcements. It provides primary evidence in the investigation of using monthly effects to explain the patterns of stock splits. The results show that the January effect exists in the likelihood of the occurrence of share splits and in the associated short-term abnormal returns. We also find that another monthly effect—the Halloween effect—exists in stock split announcements. However, the January effect has a much larger and considerably more significant impact on the probability and returns of these announcements. The results of this paper shed light on why we observe patterns in the announcement of corporate events.

Stock market liquidity and firm value : an empirical examination of the Australian market

We document a positive relation between stock liquidity and firm value. We examine the mechanism through which stock market liquidity enhances firm value by dividing firm value, as measured by Tobin’s Q, into three components, namely, operating income to price, leverage, and operating income to assets. Using the switch to broker anonymity as an exogenous shock to market liquidity, we show that the increase in liquidity around the shock leads to an increase in firm value. Our results suggest that higher firm value for more liquid stocks seems to stem from enhanced stock prices rather than from better operating performance.

Tests of conditional asset pricing models in the brazilian stock market

In this paper, we test a version of the conditional CAPM with respect to a local market portfolio, proxied by the Brazilian stock index during the period 1976-1992. We also test a conditional APT modeI by using the difference between the 3-day rate (Cdb) and the overnight rate as a second factor in addition to the market portfolio in order to capture the large inflation risk present during this period. The conditional CAPM and APT models are estimated by the Generalized Method of Moments (GMM) and tested on a set of size portfolios created from individual securities exchanged on the Brazilian markets. The inclusion of this second factor proves to be important for the appropriate pricing of the portfolios.