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- PhD in Mathematics - Mathematical Finance and Stochastic Analysis
PhD in Mathematics - Mathematical Finance and Stochastic Analysis
Course options
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Qualification
PhD/DPhil - Doctor of Philosophy
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Location
University of York - Heslington Campus
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Study mode
Full time
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Start date
13-JUL-26
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Duration
3 Years
Course summary
Our research interests span a broad range of topics in continuous and discrete time.In mathematical finance our areas of research activity include:arbitrage and option pricing in markets with friction and incomplete marketsentropy and financial value of informationoptimal investment strategies in markets, with prices depending on the volume of tradingrobust arbitrage and model-independent pricingdiscrete time models and their continuous time limits in the presence of market imperfectionsnumerical methods for pricing financial derivativesapplications of optimal stopping, singular control, and game theory to investment problems in the real economy ("real options").In stochastic analysis our research focuses on:infinite dimensional stochastic analysis, including stochastic differential equations on infinite dimensional manifoldsstochastic partial differential equations (especially stochastic Navier-Stokes and Euler equations arising in the context of turbulence phenomena)stochastic analysis on Riemannian and Finslerian manifoldsrough paths and their applications to modelling probabilistic phenomena and numerical analysis (for example non-linear filtering)Feynman path integrals and more broad applications to mathematical physics, biology and finance.
Tuition fees
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£ 24,500per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
12th
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Campus address
University of York - Heslington Campus, Heslington, York, York, YO10 5DD, United Kingdom
Subject rankings
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Subject ranking
24th out of 65 1
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Entry standards
/ Max 244167 68%24th
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Graduate prospects
/ Max 10081.0 81%35th
5 -
Student satisfaction
/ Max 43.15 79%33rd
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