This thesis addresses some practical issues that are similar to what a risk manager would be facing. To protect portfolio against unexpected turbulent drop, risk managers might use options to hedge the portfolio. Since the price of an option is not a linear function of the price of the underlying security or index, consequently option hedged portfolio’s value is a not linear combination of the market prices of the underlying securities. Three Value-at-Risk (VaR) models, traditional estimate based Monte Carlo model, GARCH based Monte Carlo model, and resampling model, are developed to estimate risk of non-linear portfolios. The results from the models by setting different levels of hedging strategies are useful to evaluate and compare these strategies, and therefore may assist risk managers in making practical decisions in risk management.

Creator

• Liu, Guochun

Contributors

• Vermes, Domokos

Degree

• MS

Unit

• Mathematical Sciences

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• etd-0430104-155045

Keyword

• Risk Management
• Risk Measure
• Value at Risk
• Hedging

Advisor

• Vermes, Domokos

Defense date

• 2004-04-30

Year

• 2004

Date created

• 2004-04-30

Resource type

• Thesis

Rights statement

• In Copyright