Stochastic evolution equations for large portfolios of stochastic volatility models
We consider a large market model of defaultable assets in which the asset price processes are modelled as Heston-type stochastic volatility models with default upon hitting a lower boundary. We assume that both the asset prices and their volatilities are correlated through systemic Brownian motions....
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| Format: | Journal article |
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Society for Industrial and Applied Mathematics
2017
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| _version_ | 1797095103569854464 |
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| author | Hambly, B Kolliopoulos, N |
| author_facet | Hambly, B Kolliopoulos, N |
| author_sort | Hambly, B |
| collection | OXFORD |
| description | We consider a large market model of defaultable assets in which the asset price processes are modelled as Heston-type stochastic volatility models with default upon hitting a lower boundary. We assume that both the asset prices and their volatilities are correlated through systemic Brownian motions. We are interested in the loss process that arises in this setting and we prove the existence of a large portfolio limit for the empirical measure process of this system. This limit evolves as a measure valued process and we show that it will have a density given in terms of a solution to a stochastic partial differential equation of filtering type in the two-dimensional half-space, with a Dirichlet boundary condition. We employ Malliavin calculus to establish the existence of a regular density for the volatility component, and an approximation by models of piecewise constant volatilities combined with a kernel smoothing technique to obtain existence and regularity for the full two-dimensional filtering problem. We are able to establish good regularity properties for solutions, however uniqueness remains an open problem. |
| first_indexed | 2024-03-07T04:23:17Z |
| format | Journal article |
| id | oxford-uuid:cbbfb95e-7063-44a3-8733-cbf2fc16d07e |
| institution | University of Oxford |
| last_indexed | 2024-03-07T04:23:17Z |
| publishDate | 2017 |
| publisher | Society for Industrial and Applied Mathematics |
| record_format | dspace |
| spelling | oxford-uuid:cbbfb95e-7063-44a3-8733-cbf2fc16d07e2022-03-27T07:17:03ZStochastic evolution equations for large portfolios of stochastic volatility modelsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cbbfb95e-7063-44a3-8733-cbf2fc16d07eSymplectic Elements at OxfordSociety for Industrial and Applied Mathematics2017Hambly, BKolliopoulos, NWe consider a large market model of defaultable assets in which the asset price processes are modelled as Heston-type stochastic volatility models with default upon hitting a lower boundary. We assume that both the asset prices and their volatilities are correlated through systemic Brownian motions. We are interested in the loss process that arises in this setting and we prove the existence of a large portfolio limit for the empirical measure process of this system. This limit evolves as a measure valued process and we show that it will have a density given in terms of a solution to a stochastic partial differential equation of filtering type in the two-dimensional half-space, with a Dirichlet boundary condition. We employ Malliavin calculus to establish the existence of a regular density for the volatility component, and an approximation by models of piecewise constant volatilities combined with a kernel smoothing technique to obtain existence and regularity for the full two-dimensional filtering problem. We are able to establish good regularity properties for solutions, however uniqueness remains an open problem. |
| spellingShingle | Hambly, B Kolliopoulos, N Stochastic evolution equations for large portfolios of stochastic volatility models |
| title | Stochastic evolution equations for large portfolios of stochastic volatility models |
| title_full | Stochastic evolution equations for large portfolios of stochastic volatility models |
| title_fullStr | Stochastic evolution equations for large portfolios of stochastic volatility models |
| title_full_unstemmed | Stochastic evolution equations for large portfolios of stochastic volatility models |
| title_short | Stochastic evolution equations for large portfolios of stochastic volatility models |
| title_sort | stochastic evolution equations for large portfolios of stochastic volatility models |
| work_keys_str_mv | AT hamblyb stochasticevolutionequationsforlargeportfoliosofstochasticvolatilitymodels AT kolliopoulosn stochasticevolutionequationsforlargeportfoliosofstochasticvolatilitymodels |