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Mathematical Finance in Continuous Time - MAT00097H

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  • Department: Mathematics
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2025-26

Module summary

Module gives an introduction to classical methods of asset pricing in continuous time.

Professional requirements

Counts towards IFoA exemption.

Related modules

Pre-requisite modules

Module will run

Occurrence Teaching period
A Semester 2 2025-26

Module aims

The module introduces and applies the main mathematical continuous-time tools that are used to value assets that are traded in financial markets, such as bonds, futures and options.

Module learning outcomes

After successful completion of this module, students are able to apply and explain:
• some basic concepts and results of stochastic calculus in continuous time;
• the Black-Scholes formula for option pricing;
• basic models of interest rates;
• basic credit risk models.

Module content

• Stochastic Processes in continuous time.
• Stochastic calculus.
• Black-Scholes model of a stock market.
• Black-Scholes pricing formula for European call options.
• Pricing of credit risk instruments.
• Pricing of fixed-income securities.

Indicative assessment

Task % of module mark
Closed/in-person Exam (Centrally scheduled) 80.0
Essay/coursework 20.0

Special assessment rules

None

Indicative reassessment

Task % of module mark
Closed/in-person Exam (Centrally scheduled) 80.0
Essay/coursework 20.0

Module feedback

Current Department policy on feedback is available in the student handbook. Coursework and examinations will be marked and returned in accordance with this policy.

Indicative reading

Z. Brzezniak, T. Zastawniak, Basic stochastic processes : a course through exercises. Springer

M. Capinski and T. Zastawniak, Mathematics for Finance. An Introduction to Financial Engineering, Springer

M. Capinski and T. Zastawniak, Credit Risk (elect. resource)

D. McInerney and T. Zastawniak, Stochastic Interest rates (elect. resource)

M. Musiela, M. Rutkowski, Martingale Methods in Financial Modelling, Springer.

M. Steele, Stochastic calculus and financial applications, Springer



The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.