Pathwise moderate deviations for option pricing
File(s)
Author(s)
Jacquier, Antoine
Spiliopoulos, Konstantinos
Type
Journal Article
Abstract
We provide a unifying treatment of pathwise moderate deviations for models commonly used in financial applications, and for related integrated functionals. Suitable scaling enables us to transfer these results into small‐time, large‐time, and tail asymptotics for diffusions, as well as for option prices and realized variances. In passing, we highlight some intuitive relationships between moderate deviations rate functions and their large deviations counterparts; these turn out to be useful for numerical purposes, as large deviations rate functions are often difficult to compute.
Date Issued
2020-04-01
Date Acceptance
2019-05-01
Citation
Mathematical Finance, 2020, 30 (2), pp.426-463
ISSN
0960-1627
Publisher
Wiley
Start Page
426
End Page
463
Journal / Book Title
Mathematical Finance
Volume
30
Issue
2
Copyright Statement
© 2019 Wiley Periodicals, Inc. This is the accepted version of the following article: Jacquier, A, Spiliopoulos, K. Pathwise moderate deviations for option pricing. Mathematical Finance. 2020; 30: 426– 463, which has been published in final form at https://doi.org/10.1111/mafi.12228
Subjects
Social Sciences
Science & Technology
Physical Sciences
Business, Finance
Economics
Mathematics, Interdisciplinary Applications
Social Sciences, Mathematical Methods
Business & Economics
Mathematics
Mathematical Methods In Social Sciences
STOCHASTIC VOLATILITY
DIFFUSION-APPROXIMATION
POISSON EQUATION
FUNCTIONALS
PRINCIPLE
SYSTEMS
q-fin.MF
q-fin.MF
math.PR
q-fin.PR
0102 Applied Mathematics
1502 Banking, Finance and Investment
Finance
Publication Status
Published
Date Publish Online
2019-11-07