Relying on a latent factor model with time-varying temporal dependence of systematic risk and mispricing on firm and option characteristics, we reveal economically substantial mispricing in the options market. The portfolio based on individual options alphas related to characteristics earns an...

This study uses security-level investor demand and dynamic pricing information in the primary bond market to examine investor tastes for ESG assets and their pricing effects. We find that green bonds are significantly more oversubscribed than their conventional counterparts offered by the same...

Most of the growth forecasts in analysts' evaluation reports rely on human judgment, which leads to the occurrence of bias. A back-propagation neural network (BPNN) is a financial technique that learns a multi-layer feedforward network. This study aims to integrate BPNN and asset pricing models...