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 management and hedging strategies based on different criterions. These strategies provide practical guide for real option trading.
This book studies the classical stochastic volatility and deterministic volatility models. For the former, the classical Heston model is integrated with volatility term structure. The correlation of Heston model is considered to be variable. For the latter, the local volatility model is improved from experience of financial practice. The improved local volatility surface is then used for price forecasting. VaR and CVaR are employed as standard criterions for risk management. The options trading strategies are also designed combining different types of options and they have been proven to be profitable in real market.
This book is a combination of theory and practice. Users will find the applications of these financial models in real market to be effective and efficient.
1. Introduction 2. A Novel Model-free Term Structure for Stock Prediction 3. An Adaptive Correlation Heston Model for Stock Prediction 4. The Algorithm to Control Risk Using Option 5. Option Strategies: Evaluation Criterion and Optimization 6. A Novel Mean Reversion-based Local Volatility Model 7. Regression-based Correlation Modeling for Heston Model 8. Index Option Strategies Comparison and Self-Risk Management 9. Call-Put Term Structure Spread-based HSI Analysis
Risk management is one of the most important, most urgent and most difficult topics for not only top managers of every enterprise and top officials of every governmental department, but also for scientists in the fields of economics, finance, engineering, social science and earth science.
The book series places emphasis on the main problems of risk management in the changing new environments of operational and systems management. It invites quality works covering analysis, modeling, empirical studies and case analysis so as to offer solutions to the emerging new challenges.
It aims to publish new theories of risk management, new methods for risk management and new successful applications in risk management to promote research and development of risk management in many industries and many disciplines; to provide a bridge for exchange of academic researchers and practical risk managers to help academic researchers’ better understanding of risk and risk management and to help managers and officials to learn new methods, techniques and tools which might be efficient in risk identification, risk analysis, risk control and risk management.