MODELING STOCHASTIC VOLATILITY: A REVIEW AND COMPARATIVE STUDY
Stephen J. Taylor
Mathematical Finance, 1994, vol. 4, issue 2, 183-204
Abstract:
Diffusion models for volatility have been used to price options while ARCH models predominate in descriptive studies of asset volatility. This paper compares a discrete‐time approximation of a popular diffusion model with ARCH models. These volatility models have many siimilarities but the models make different assumptions about how the magnitude of price responses to information alters volatility and the amount of subsequent information. Several volatility models are estimated for daily DM/ exchange rates from 1978 to 1990.
Date: 1994
References: View complete reference list from CitEc
Citations: View citations in EconPapers (201)
Downloads: (external link)
https://doi.org/10.1111/j.1467-9965.1994.tb00057.x
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:bla:mathfi:v:4:y:1994:i:2:p:183-204
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0960-1627
Access Statistics for this article
Mathematical Finance is currently edited by Jerome Detemple
More articles in Mathematical Finance from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().