In this paper, we construct efficient forecast intervals for autoregressive conditional heteroscedastic (ARCH) models using the bootstrap. Forecast intervals for returns and volatility are constructed using the linear estimator (LE) for ARCH model. An advantage of LE over the widely used quasi...

Few can argue with the notion that corporations should at least consider corporate social responsibility (CSR) to better understand the impact of their operations on society. However, recent empirical tests suggest CSR has an ambiguous impact on firm performance. To shed new light on this...

We present a model for active trading based on reinforcement machine learning and apply this to five major cryptocurrencies in circulation. In relation to a buy-and-hold approach, we demonstrate how this model yields enhanced risk-adjusted returns and serves to reduce downside risk. These...

This article examines the impact of a bidding firm's geographical location on the choice of method of payment in mergers and acquisitions. We find that rural bidders are more likely to offer pure stock deals and have lower propensity to use cash as the method of payment compared to their...

This article examines the extent to which the trading behavior of heterogeneous investors manifests in stock price changes of asset portfolios which constitute the Shanghai Stock Exchange. There are three major findings that materialize. Firstly, reliable statistical evidence of a negative...