Abstract
Volatility products have become popular in the past 15 years as a hedge against market uncertainty. In particular, there is growing interest in options on the VIX volatility index. A number of recent empirical studies have examine whether there is significantly greater risk premium in VIX option prices compared with S&P 500 option prices. We address this issue by proposing and analysing a stochastic volatility model with regime switching. The basic Heston model cannot capture VIX-implied volatilities, as has been documented. We show that the incorporation of sharp regime shifts can bridge this shortcoming. We take advantage of asymptotic and Fourier methods to make the extension tractable, and we present a fit to data, both in times of crisis and relative calm, which shows the effectiveness of the regime switching.
Original language | English (US) |
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Pages (from-to) | 1811-1827 |
Number of pages | 17 |
Journal | Quantitative Finance |
Volume | 14 |
Issue number | 10 |
DOIs | |
State | Published - Oct 1 2014 |
All Science Journal Classification (ASJC) codes
- Finance
- General Economics, Econometrics and Finance
Keywords
- Applied mathematical finance
- Calibration of stochastic volatility
- Model calibration
- VIX options