The long-run performance of successful bidders in a takeover has been controversial. We assess their long-run performance by controlling for survival, firm size, and measurement bias in return cumulation. Measures of the performance of acquiring firms relative to control firms are sensitive to survival constraints implicit in the sampling process and to share return characteristics empirically ...

One of the main functionalities of capital market is to improve liquidityin the market which provides security for the investors. Mutual funds aremodern financial institutions which are designed with the aim of collectingfunds from investors and devote them to buy a variety of securities inorder to mitigate investment risks, exploit the economies of scale andfinally create a reasonable return f...

We investigate tropical cyclone wind and storm surge damage reduction for five areas along the Miami-Dade County coastline either by hardening buildings or by the hypothetical application of wind-wave pumps to modify storms. We calculate surge height and wind speed as functions of return period and sea surface temperature reduction by wind-wave pumps. We then estimate costs and economic losses ...

In this paper we provide empirical findings on the significance of positive feedback trading for the return behavior in the German stock market. Relying on the ShillerSentana-Wadhwani model, we use the link between index return auto-correlation and volatility to obtain a better understanding into the return characteristics generated by traders adhering to positive feedback trading strategies. O...

This paper discusses the shape of the stock return distribution using the all shares index of Helsinki Stock Exchange. Non-parametric kernel density estimation and power exponential family of distributions are used to model the shape of the return distribution. The parameters of power exponential distribution are estimated with Bayesian approach. The findings suggest that the shape of the distr...

This study provides new insights into the relationships between social media sentiments and the stock market in China. Based on machine learning, we classify microblogs posted on Sina Weibo, a Twitter's variant in China into five detailed sentiments of anger, disgust, fear, joy, and sadness. Using wavelet analysis, we find close positive linkages between sentiments and the stock return, which h...