Modified GARCH Process and Variance Risk Premium
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Cite this item:
Jiang, Y. (2014). Modified GARCH Process and Variance Risk Premium (Thesis, Master of Business). University of Otago. Retrieved from http://hdl.handle.net/10523/5079
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/5079
Abstract:
In this study, we modify the classical generalized autoregressive conditional heteroskedastic (GARCH) process by introducing a new uncertainty into the volatility process. We then change probability measures from physical to risk-neutral ones by extending Duan’s (1995) locally risk-neutral valuation relationship (LRNVR). With the information of both daily index returns and the Chicago Board Options Exchange (CBOE) Volatility Index (VIX), we estimate daily variances and model parameters by using the maximum likelihood method. The new modified GARCH process solves the problem of variance risk premium in the GARCH option models completely.
Date:
2014
Advisor:
Zhang, Jin
Degree Name:
Master of Business
Degree Discipline:
Department of Accountancy & Finance
Publisher:
University of Otago
Keywords:
GARCH option pricing models
Research Type:
Thesis
Languages:
English
Collections
- Thesis - Masters [3331]
- Accountancy and Finance [262]