In this paper, we have examined stock market linkages between Greater China and the US and Japan in terms of volatility and price spillovers, yielding a few findings, with most of them either offering new evidence or challenging the results in the previous research, and the rest consolidating...

This paper explores the utilization of text data as a new α return resource for individual stock investment. In particular, we propose a new construction scheme of a polarity dictionary based on ChatGPT, a state-of-the-art language model, which is also directly used for sentiment analysis. Our...

This paper proposes a novel algorithm called Persistent Homology for Realized Volatility (PH-RV), which aims to effectively incorporate persistent homology (PH) into neural network models to increase their forecast accuracy in predicting realized volatility (RV). This paper also proposes a novel...

This paper examines return predictability when the investor is uncertain about the right state variables. A novel feature of the model averaging approach used in this paper is to account for finite-sample bias of the coefficients in the predictive regressions. Drawing on an extensive...