Postgraduate Course: Stochastic Analysis in Finance II (MATH11077)
Course Outline
| School | School of Mathematics | 
College | College of Science and Engineering | 
 
| Course type | Standard | 
Availability | Not available to visiting students | 
 
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) | 
Credits | 7.5 | 
 
| Home subject area | Mathematics | 
Other subject area | Financial Mathematics | 
   
| Course website | 
None | 
Taught in Gaelic? | No | 
 
| Course description | This course aims to provide a good and rigorous understanding of the mathematics used in derivative pricing and to enable students to understand where the assumptions in the models break down. | 
 
 
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites | 
 | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
Other requirements |  MSc Financial Mathematics and MSc Financial Modelling and Optimization students only. | 
 
| Additional Costs |  None | 
 
 
Course Delivery Information
 |  
| Delivery period: 2014/15  Semester 2, Not available to visiting students (SS1) 
  
 | 
Learn enabled:  Yes | 
Quota:  None | 
 | 
 
Web Timetable  | 
	
Web Timetable | 
 
| Course Start Date | 
12/01/2015 | 
 
| Breakdown of Learning and Teaching activities (Further Info) | 
 
 Total Hours:
75
(
 Lecture Hours 20,
 Summative Assessment Hours 1.5,
 Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
51 )
 | 
 
| Additional Notes | 
 | 
 
| Breakdown of Assessment Methods (Further Info) | 
 
  Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
 | 
 
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours & Minutes | 
    
	 | 
  
| Main Exam Diet S2 (April/May) | Stochastic Analysis in Finance II (MATH11077)	 | 3:00 |  |  
 
Summary of Intended Learning Outcomes 
- be able to apply the theory of stochastic calculus to problems involving vanilla options  
- understand the martingale representation theorem and its role in financial applications 
- be able to apply the theory of stochastic calculus to problems involving exotic options  
- conceptual understanding of the role of martingales in the theory of derivative pricing 
- conceptual understanding of the role of equivalent martingale measures in financial mathematics 
- conceptual understanding of the stochastic Ito integral and the connection to self-financing strategies | 
 
 
Assessment Information 
| See 'Breakdown of Assessment Methods' and 'Additional Notes', above. |  
 
Special Arrangements 
| MSc Financial Mathematics and MSc Financial Modelling and Optimization students only. |   
 
Additional Information 
| Academic description | 
Not entered | 
 
| Syllabus | 
The Black-Scholes model, self-financing strategies, pricing and hedging options, European and American options. 
Option pricing and partial differential equations; Kolmogorov equations. 
Further topics: dividends, reflection principle, exotic options, options involving more than one risky asset, stochastic volatility models. 
 | 
 
| Transferable skills | 
Not entered | 
 
| Reading list | 
Karatzas, I. & Shreve, S. (1988). Brownian Motion and Stochastic Calculus. Springer. 
Baxter, M. & Rennie, A. (1996). Financial Calculus. CUP. 
Etheridge, A. (2002). A Course in Financial Calculus. CUP. 
Lamberton, D. & Lapeyre, B. (1996). Introduction to Stochastic Calculus Applied to Finance. Chapman & Hall. 
 | 
 
| Study Abroad | 
Not Applicable. | 
 
| Study Pattern | 
Not entered | 
 
| Keywords | SAF II | 
 
 
Contacts 
| Course organiser | Dr Sotirios Sabanis 
Tel: (0131 6)50 5084 
Email: S.Sabanis@ed.ac.uk | 
Course secretary | Mrs Kathryn Mcphail 
Tel: (0131 6)50 4885 
Email: k.mcphail@ed.ac.uk | 
   
 
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© Copyright 2014 The University of Edinburgh -  29 August 2014 4:21 am 
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