2 resultados para stock return predictability

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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This paper analyzes the stock price effect of equity issues in Switzerland. There, insiders are not legally prevented from using their information for personal trades, and security offerings are with almost no exception rights issues. Unlike what we find for a comprehensive sample of U.S. rights issues and a sample of U.S. general cash offerings, a significant majority of firms experiences a positive monthly announcement effect. The average abnormal return itself, however, is not significant. Also, we find evidence inconsistent with infinitely price-elastic demand functions for common stock, as well as some evidence that offer prices convey new information.

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Serial correlation of extreme midlatitude cyclones observed at the storm track exits is explained by deviations from a Poisson process. To model these deviations, we apply fractional Poisson processes (FPPs) to extreme midlatitude cyclones, which are defined by the 850 hPa relative vorticity of the ERA interim reanalysis during boreal winter (DJF) and summer (JJA) seasons. Extremes are defined by a 99% quantile threshold in the grid-point time series. In general, FPPs are based on long-term memory and lead to non-exponential return time distributions. The return times are described by a Weibull distribution to approximate the Mittag–Leffler function in the FPPs. The Weibull shape parameter yields a dispersion parameter that agrees with results found for midlatitude cyclones. The memory of the FPP, which is determined by detrended fluctuation analysis, provides an independent estimate for the shape parameter. Thus, the analysis exhibits a concise framework of the deviation from Poisson statistics (by a dispersion parameter), non-exponential return times and memory (correlation) on the basis of a single parameter. The results have potential implications for the predictability of extreme cyclones.