Valuation of VIX and target volatility options with affine GARCH models. Issue 12 (1st September 2020)
- Record Type:
- Journal Article
- Title:
- Valuation of VIX and target volatility options with affine GARCH models. Issue 12 (1st September 2020)
- Main Title:
- Valuation of VIX and target volatility options with affine GARCH models
- Authors:
- Cao, Hongkai
Badescu, Alexandru
Cui, Zhenyu
Jayaraman, Sarath Kumar - Abstract:
- Abstract: In this paper we propose semiclosed‐form solutions, subject to an inversion of the Fourier transform, for the price of VIX options and target volatility options under affine GARCH models based on Gaussian and Inverse Gaussian distributions. We illustrate the advantage of the proposed analytic expressions by comparing them with those obtained from benchmark Monte–Carlo simulations. The empirical performance of the two affine GARCH models is tested using different calibration exercises based on historical returns and market quotes on VIX and SPX options.
- Is Part Of:
- Journal of futures markets. Volume 40:Issue 12(2020)
- Journal:
- Journal of futures markets
- Issue:
- Volume 40:Issue 12(2020)
- Issue Display:
- Volume 40, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 40
- Issue:
- 12
- Issue Sort Value:
- 2020-0040-0012-0000
- Page Start:
- 1880
- Page End:
- 1917
- Publication Date:
- 2020-09-01
- Subjects:
- Heston‐Nandi GARCH model -- inverse gaussian model -- joint calibration -- target volatility options -- VIX options
Commodity exchanges -- Periodicals
Foreign exchange futures -- Periodicals
332.632 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1096-9934 ↗
http://www.interscience.wiley.com/jpages/0270-7314 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/fut.22157 ↗
- Languages:
- English
- ISSNs:
- 0270-7314
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4986.910000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14698.xml