This study uses a unique dataset of transactions at the account level to construct investor networks. These networks are then analyzed to examine the role of the network centralization index in identifying the stock momentum stages. The empirical results demonstrate that the early stage strategy...

In this study, we examine the information diffusion of firms in investor networks. Using a unique investor account-level dataset from the Taiwan Stock Exchange from 2005 to 2014, we identify the information diffusion of firms as their centralization in investor networks. Consistent with the...

This paper proposes a dynamic information diffusion model that explains the lead-lag reaction of stock prices resulting from the interaction of price trends and implied price risk (IPR). Consistent with our model's predictions, we construct a zero investment underreaction portfolio (overreaction...

Using forward-looking information in the options market, we introduce a new method for better identifying systematic market risk as a predictor for the cross-section of stock returns. Empirical results show that there is a significantly positive relation between our option-implied beta and...

This paper develops a general equilibrium model and provides empirical support that the market volatility-of-volatility (VOV) predicts market returns and drives the time-varying volatility risk. In asset pricing tests with the market, volatility, and VOV as factors, the risk premium on VOV is...

We examine the predictive effect of sentiment on the cross-section of stock returns across different economic states. The degree of mispricing and the subsequent price correction can be different between economic expansion and recession because of the limits of arbitrage and short sale...