The University of Southampton
University of Southampton Institutional Repository

Solving asset pricing models with stochastic volatility

Solving asset pricing models with stochastic volatility
Solving asset pricing models with stochastic volatility
This paper provides a closed-form solution for the price-dividend ratio in a standard asset pricing model with stochastic volatility. The growth rate of the endowment is a first-order Gaussian autoregression, while the stochastic volatility innovations can be drawn from any distribution for which the moment-generating function exists. The solution is useful in allowing comparisons among numerical methods used to approximate the nontrivial closed form. The closed-form solution reveals that, when using perturbation methods around the deterministic steady state, the approximate solution needs to be sixth-order accurate in order for the parameter capturing the conditional standard deviation of the stochastic volatility process to be present.
0165-1889
308-321
de Groot, Oliver
0be49c71-aa34-43d6-80b7-89426334ecfc
de Groot, Oliver
0be49c71-aa34-43d6-80b7-89426334ecfc

de Groot, Oliver (2015) Solving asset pricing models with stochastic volatility. Journal of Economic Dynamics and Control, 52, 308-321, [103375]. (doi:10.1016/j.jedc.2015.01.001).

Record type: Article

Abstract

This paper provides a closed-form solution for the price-dividend ratio in a standard asset pricing model with stochastic volatility. The growth rate of the endowment is a first-order Gaussian autoregression, while the stochastic volatility innovations can be drawn from any distribution for which the moment-generating function exists. The solution is useful in allowing comparisons among numerical methods used to approximate the nontrivial closed form. The closed-form solution reveals that, when using perturbation methods around the deterministic steady state, the approximate solution needs to be sixth-order accurate in order for the parameter capturing the conditional standard deviation of the stochastic volatility process to be present.

This record has no associated files available for download.

More information

Accepted/In Press date: 5 January 2015
e-pub ahead of print date: 10 January 2015
Published date: March 2015

Identifiers

Local EPrints ID: 503875
URI: http://eprints.soton.ac.uk/id/eprint/503875
ISSN: 0165-1889
PURE UUID: f05d9abb-d350-49ec-9d1c-c891cb4d845a
ORCID for Oliver de Groot: ORCID iD orcid.org/0000-0002-6853-1129

Catalogue record

Date deposited: 15 Aug 2025 16:43
Last modified: 16 Aug 2025 02:17

Export record

Altmetrics

Contributors

Author: Oliver de Groot ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×