VIX derivatives: Valuation models and empirical evidence
Chien-Ling Lo,
Pai-Ta Shih,
Yaw-Huei Wang and
Min-Teh Yu ()
Pacific-Basin Finance Journal, 2019, vol. 53, issue C, 1-21
Abstract:
This study proposes an efficient approach for the pricing of VIX derivatives under the affine framework and investigates the respective value of two variance components and variance jumps in the pricing of VIX derivatives. Our numerical results show that our approach significantly reduce the computational burden. Our empirical findings provide support for the use of two-variance component models as the means of capturing the fickle term structure of VIX derivatives, and the use of variance jumps is vital when included in the long-run variance component.
Keywords: VIX derivatives; Variance components; Variance jump; Affine model (search for similar items in EconPapers)
JEL-codes: C63 G13 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927538X18302385
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:pacfin:v:53:y:2019:i:c:p:1-21
DOI: 10.1016/j.pacfin.2018.09.004
Access Statistics for this article
Pacific-Basin Finance Journal is currently edited by K. Chan and S. Ghon Rhee
More articles in Pacific-Basin Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().