School of Management, Unit Catalogue 2006/07

MN50320 Computational finance

Credits: 6

Level: Masters

Semester: 2

Assessment: EX100

Requisites:

Aims: The aim is to introduce students to the new field of computational finance and provide them with an overview of the models and methods used.
Learning Outcomes:
By the end of this unit, the student should be able to:
* define agent-based modelling and its methodological basis;
* critique existing finance literature and suggest alternative modelling approaches;
* understand and explain the main models of agent-based computational finance.
Skills:
Intellectual skills
* the facility to apply subject-specific knowledge into a range of complex situations; TFA
* a critical awareness of current issues and frameworks in finance; F
* the ability to acquire and analyse data, information and situations; to evaluate relevance and validity, and to synthesize it in the context of finance problems; FA
* an understanding of appropriate research and methodological techniques that allow detailed investigation of problems and ability to use these skills to produce professional and critical reports. A
Professional Practical Skills
* evaluate the current standing of theories and empirical evidence and suggest improvements to them; TFA
* operate effectively both independently as well as within teams and assume leadership roles where appropriate; FA
* be self-directed and able to act autonomously in planning and implementing. F
Transferable/Key Skills
* ability to conduct in-depth research into finance problems. FA
Personal/Interpersonal
* the ability to communicate including presentation and marketing themselves and their ideas. FA
Content:
Simulation of stock markets, numerical techniques for derivatives pricing, risk management and portfolio optimization.

University | Catalogues for 2006/07