Stochastic PDEs for large portfolios with general mean-reverting volatility processes

We consider a structural stochastic volatility model for the loss from a large portfolio of credit risky assets. Both the asset value and the volatility processes are correlated through systemic Brownian motions, with default determined by the asset value reaching a lower boundary. We prove that if...

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Những tác giả chính: Hambly, B, Kolliopoulos, N
Định dạng: Journal article
Ngôn ngữ:English
Được phát hành: American Institute of Mathematical Sciences 2024
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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 structural stochastic volatility model for the loss from a large portfolio of credit risky assets. Both the asset value and the volatility processes are correlated through systemic Brownian motions, with default determined by the asset value reaching a lower boundary. We prove that if our volatility models are picked from a class of mean-reverting diffusions, the system converges as the portfolio becomes large and, when the vol-of-vol function satisfies certain regularity and boundedness conditions, the limit of the empirical measure process has a density given in terms of a solution to a stochastic initial-boundary value problem on a half-space. The problem is defined in a special weighted Sobolev space. Regularity results are established for solutions to this problem, and then we show that there exists a unique solution. In contrast to the CIR volatility setting covered by the existing literature, our results hold even when the systemic Brownian motions are taken to be correlated.
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spelling oxford-uuid:e4c3504a-7a0b-48ab-bdb8-0aa0c46b18f62024-11-27T09:31:43ZStochastic PDEs for large portfolios with general mean-reverting volatility processesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e4c3504a-7a0b-48ab-bdb8-0aa0c46b18f6EnglishSymplectic ElementsAmerican Institute of Mathematical Sciences2024Hambly, BKolliopoulos, NWe consider a structural stochastic volatility model for the loss from a large portfolio of credit risky assets. Both the asset value and the volatility processes are correlated through systemic Brownian motions, with default determined by the asset value reaching a lower boundary. We prove that if our volatility models are picked from a class of mean-reverting diffusions, the system converges as the portfolio becomes large and, when the vol-of-vol function satisfies certain regularity and boundedness conditions, the limit of the empirical measure process has a density given in terms of a solution to a stochastic initial-boundary value problem on a half-space. The problem is defined in a special weighted Sobolev space. Regularity results are established for solutions to this problem, and then we show that there exists a unique solution. In contrast to the CIR volatility setting covered by the existing literature, our results hold even when the systemic Brownian motions are taken to be correlated.
spellingShingle Hambly, B
Kolliopoulos, N
Stochastic PDEs for large portfolios with general mean-reverting volatility processes
title Stochastic PDEs for large portfolios with general mean-reverting volatility processes
title_full Stochastic PDEs for large portfolios with general mean-reverting volatility processes
title_fullStr Stochastic PDEs for large portfolios with general mean-reverting volatility processes
title_full_unstemmed Stochastic PDEs for large portfolios with general mean-reverting volatility processes
title_short Stochastic PDEs for large portfolios with general mean-reverting volatility processes
title_sort stochastic pdes for large portfolios with general mean reverting volatility processes
work_keys_str_mv AT hamblyb stochasticpdesforlargeportfolioswithgeneralmeanrevertingvolatilityprocesses
AT kolliopoulosn stochasticpdesforlargeportfolioswithgeneralmeanrevertingvolatilityprocesses