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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014 -
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Stochastic Control and Optimization (MATH11133)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaMathematics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThe course presents an introduction to control theory, to a very active area of research, both in pure and applied mathematics. The aim is to learn the basics of the mathematical theory, and to understand some real-world applications, primarily in finance and economics. It offers an opportunity to see the connections between different fields, (controlled dynamical systems, optimization, onlinear PDEs), and the underlying ideas unifying them.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements For admission to this course, a good understanding of probability at undergraduate level is required. If in doubt, please consult with the Course Organiser.
Additional Costs None
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
- Knowledge of controlled Markov chains.
- Knowledge of, and a critical understanding of, the theory of optimal stopping in discrete time and continuous time.
- Knowledge of, and a critical understanding of, Hamilton-Jacobi-Bellman equations.
- Knowledge of, and a critical understanding of, variational inequalities.
- Understanding of, and critical assessment of, optimal investment-consumption problems.
Assessment Information
Examination 100%
Special Arrangements
MSc Financial Modelling and Optimization and MSc Mathematics students only.
Additional Information
Academic description Not entered
Syllabus - Discrete time case: Controlled Markov chains, backward induction,
optimal stopping in discrete time.
- Continuous time case: Controlled ODEs, Controlled diffusion processes, Bellman principle, Hamilton-Jacobi-Bellman equations, optimal stopping in continuous time, variational inequalities, Calculating American options in the Black Scholes model, Optimal investment-consumption problems.
Transferable skills Not entered
Reading list - H. Pham: Continuous-time stochastic control and optimization with financial applications, Series SMAP, Springer 2009.
- H. M. Soner: Stochastic Optimal Control in Finance, Edizioni della
Normale, 2007.
Study Abroad Not entered
Study Pattern Not entered
KeywordsSCO
Contacts
Course organiserDr Sotirios Sabanis
Tel: (0131 6)50 5084
Email: S.Sabanis@ed.ac.uk
Course secretaryMrs Julie Hands
Tel: (0131 6)50 4885
Email: Julie.Hands@ed.ac.uk
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