On exact simulations of first hitting times of the solutions of SDEs

In this thesis, we look into exact simulations of first hitting times of the solutions to stochastic differential equations with unit diffusion coefficient. While discretization schemes do represent essential tools in SDE simulations, their inherent errors prove them to be unsuitable for fields wher...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Durmić, Irfan
Muut tekijät: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Matematiikan ja tilastotieteen laitos, Department of Mathematics and Statistics, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2024
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/96458
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author Durmić, Irfan
author2 Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Matematiikan ja tilastotieteen laitos Department of Mathematics and Statistics Jyväskylän yliopisto University of Jyväskylä
author_facet Durmić, Irfan Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Matematiikan ja tilastotieteen laitos Department of Mathematics and Statistics Jyväskylän yliopisto University of Jyväskylä Durmić, Irfan Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Matematiikan ja tilastotieteen laitos Department of Mathematics and Statistics Jyväskylän yliopisto University of Jyväskylä
author_sort Durmić, Irfan
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description In this thesis, we look into exact simulations of first hitting times of the solutions to stochastic differential equations with unit diffusion coefficient. While discretization schemes do represent essential tools in SDE simulations, their inherent errors prove them to be unsuitable for fields where precision is necessary. Through our exploration of the work done in Exact Simulation of the First-Passage Time of Diffusions (2019) by S. Herrmann and C. Zucca, we show that it is indeed possible to construct an algorithm which exactly simulates the first hitting time of the solution of a stochastic differential equation. Our key tools are Girsanov’s theorem, which allows us to shift the measure under which we are looking at the problem to put it into a frame which is more suitable for simulations, as well as the acceptance-rejection scheme which was originally proposed in Exact Simulation of Diffusions (2005) by A. Beskos and G. O. Roberts.
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While discretization schemes do represent essential tools in SDE simulations, their inherent errors prove them to be unsuitable for fields where precision is necessary. Through our exploration of the work done in Exact Simulation of the First-Passage Time of Diffusions (2019) by S. Herrmann and C. Zucca, we show that it is indeed possible to construct an algorithm which exactly simulates the first hitting time of the solution of a stochastic differential equation. Our key tools are Girsanov\u2019s theorem, which allows us to shift the measure under which we are looking at the problem to put it into a frame which is more suitable for simulations, as well as the acceptance-rejection scheme which was originally proposed in Exact Simulation of Diffusions (2005) by A. Beskos and G. O. 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spellingShingle Durmić, Irfan On exact simulations of first hitting times of the solutions of SDEs Stokastiikka ja todennäköisyysteoria Stochastics and Probability 4041 stokastiset prosessit simulointi stochastic processes simulation
title On exact simulations of first hitting times of the solutions of SDEs
title_full On exact simulations of first hitting times of the solutions of SDEs
title_fullStr On exact simulations of first hitting times of the solutions of SDEs On exact simulations of first hitting times of the solutions of SDEs
title_full_unstemmed On exact simulations of first hitting times of the solutions of SDEs On exact simulations of first hitting times of the solutions of SDEs
title_short On exact simulations of first hitting times of the solutions of SDEs
title_sort on exact simulations of first hitting times of the solutions of sdes
title_txtP On exact simulations of first hitting times of the solutions of SDEs
topic Stokastiikka ja todennäköisyysteoria Stochastics and Probability 4041 stokastiset prosessit simulointi stochastic processes simulation
topic_facet 4041 Stochastics and Probability Stokastiikka ja todennäköisyysteoria simulation simulointi stochastic processes stokastiset prosessit
url https://jyx.jyu.fi/handle/123456789/96458 http://www.urn.fi/URN:NBN:fi:jyu-202408015280
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