This book provides different financial models based on options to predict underlying asset price and design the risk hedging strategies. Authors of the book have made theoretical innovation to these models to enable the models to be applicable to real market. The book also introduces risk...

Introduction -- A novel model-free term structure for stock prediction -- An adaptive correlation heston model for stock prediction -- The algorithm to control risk using option -- Option strategies: evaluation criterion and optimization -- A novel mean reversion-based local volatility model --...

We propose a novel high-frequency decomposition of daily stock returns into news- and non-news-driven components, and uncover evidence of pervasive stock market underreaction to firm news. Prices tend to drift in the same direction as the initial market response for several days after the news...

We formulate a stylized model that admits volatility ambiguity to the Lucas framework. The model specifies an economically motivated ambiguity penalty function that makes volatility ambiguity quantifiable with χ2-statistics, and allows for analytical solutions. The addition of volatility...

Stock return volatility significantly predicts active leverage adjustment, consistent with the trade-off theory. Firms respond asymmetrically to rising volatility instead of falling volatility, more with debt reduction than equity issuance. The forecasting power of stock return volatility mostly...