Taylor, Stephen John (1994) Modelling stochastic volatility:a review and comparative study. Mathematical Finance, 4 (2). pp. 183-204. ISSN 0960-1627
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Official URL: https://doi.org/10.1111/j.1467-9965.1994.tb00057.x
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.
Item Type:
Journal Article
Journal or Publication Title:
Mathematical Finance
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
?? ECONOMICS, ECONOMETRICS AND FINANCE(ALL)FINANCEECONOMICS AND ECONOMETRICSSOCIAL SCIENCES (MISCELLANEOUS)ACCOUNTINGAPPLIED MATHEMATICSDISCIPLINE-BASED RESEARCH ??
Departments:
ID Code:
85885
Deposited By:
Deposited On:
10 Apr 2017 12:30
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2023 02:04