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.
308-321
de Groot, Oliver
0be49c71-aa34-43d6-80b7-89426334ecfc
March 2015
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, , [103375].
(doi:10.1016/j.jedc.2015.01.001).
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.
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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
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Date deposited: 15 Aug 2025 16:43
Last modified: 16 Aug 2025 02:17
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Author:
Oliver de Groot
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