Stock market prediction (SMP) is challenging due to its uncertainty, nonlinearity, and volatility. Machine learning models such as recurrent neural networks (RNNs) have been widely used in SMP and have achieved high performance in terms of "minimum error". However, in the context of SMP, using...

Third-party product reviews (TPRs) have become ubiquitous in many industries. Aided by communication technologies, particularly on the Internet, TPRs are widely available to consumers, managers, and investors. The authors examine whether and how TPRs of new products influence the financial value...

In this paper, we study some important stylized facts of commodity daily index and future prices. Our study shows that, except few, all price processes have unit roots with stationary, skewed and kurtotic increments whose R/S and generalized Hurst exponents are greater than 1/2. As a result,...