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2023/24 Taught Postgraduate Module Catalogue

MATH5734M Advanced Stochastic Calculus and Applications to Finance

20 creditsClass Size: 25

Module manager: Dr Konstantinos Dareiotis

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2023/24

Pre-requisite qualifications

(MATH1710 or MATH2700) and MATH2750

Basic knowledge of Excel spreadsheets

This module is mutually exclusive with

MATH3734Stochastic Calculus for Finance
MATH5320MDiscrete Time Finance
MATH5330MContinuous Time Finance

Module replaces

MATH3733 Stochastic Financial Modelling

This module is not approved as an Elective

Module summary

This module provides a rigorous exposition of fundamental mathematical aspects of stochastic calculus in continuous time and its applications to finance. Students will learn materials from mathematical analysis and probability theory which will be combined to derive key concepts in stochastic analysis as, e.g., stochastic differential equations. Further, the module will review applications of stochastic calculus in actuarial and financial models and will address some examples of stochastic control problems.


Stochastic calculus is one of the main mathematical tools to model physical, biological and financial phenomena (among other things). This module provides a rigorous exposition of the fundamental results from this theory. Students will acquire a solid understanding of advanced concepts as, e.g., martingales, stochastic integration and stochastic differential equations. Further, this module will review some applications of the theory in the context of stochastic control problems and mathematical finance.

Learning outcomes
1. Obtain an overview of modern probability theory via basic measure theory and basic functional analysis (including L2-spaces)
2. Understand the following mathematical concepts: martingales, stopping times, Brownian motion and Itô's formula.
3. Understand key results concerning stochastic differential equations (SDEs): existence and uniqueness of solutions.
4. Draw links between SDEs and partial differential equations
5. Use SDEs to model financial assets and price simple derivatives, e.g., European vanilla options
6. Use SDEs to model markets with stochastic interest rates and, in this context, price Zero Coupon Bonds
7. Use of Excel spreadsheet for simulation of SDEs and applications to option pricing


1. Preliminaries: Elements of measure theoretic probability.

2. Brownian motion: construction and properties of its trajectories.

3. Martingales and stopping times: optional sampling theorem, Doob's inequality.

4. Itô calculus: Construction of Itô's integral and its properties. Itô's formula.

5. Stochastic differential equations (SDEs): existence and uniqueness of solutions.

6. Links between Ito calculus and PDE theory: Feynman-Kac formula, maximum principle.

7. Applications of SDEs to mathematical finance (part 1): Black and Scholes model and European vanilla options.

8. Applications of SDEs to mathematical finance (part 2): stochastic models of interest rates (CIR and Vasicek models for spot rates).

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours154.00
Total Contact hours46.00
Total hours (100hr per 10 credits)200.00

Private study

Study course material and complete assignments. Attempt exercise sheets in advance of tutorial classes. Reading as directed. Review of Excel basic commands as advised in preparation for practical sessions and coursework.

Opportunities for Formative Feedback

Regular problem sheets

Methods of assessment

Assessment typeNotes% of formal assessment
Computer ExerciseTo be based on the use of spreadsheet software15.00
AssignmentTo be based on a set of questions based on the course material5.00
Total percentage (Assessment Coursework)20.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)3 hr 00 mins80.00
Total percentage (Assessment Exams)80.00

Examination material for level 3 (MATH3734) and level 5 (MATH5734M) module is partly shared. Exams should be timetabled at the same time (but level 5 exam is longer).

Reading list

The reading list is available from the Library website

Last updated: 28/04/2023 14:54:43


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