ICM299-Numerical Methods for Financial Engineering

Module Provider: ICMA Centre
Number of credits: 20 [10 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2017/8

Module Convenor: Dr Emese Lazar

Email: e.lazar@icmacentre.ac.uk

Summary module description:
This module introduces the major numerical methods required for quantitative work in finance, with a particular emphasis on the tools required for the implementation of the major derivative pricing models.

Aims:

Assessable learning outcomes:
By the end of the module, it is expected that students will be able to:
• Understand the basic concepts of numerical approximation
• Solve linear and nonlinear systems of equations
• Implement optimization and calibration methods
• Implement interpolation methods
• Build high standard computer programmes for derivative pricing models using
•Tree-based methods
•Monte Carlo simulations
•Finite Difference methods

Additional outcomes:
Students will learn the fundamental techniques that will enable them to pursue further research in computational finance.

Outline content:
•Foundations of Numerical Computations
•Numerical solution of Systems of Linear and Nonlinear Equations
•Numerical Optimization techniques
•Calibration methods
•Interpolation methods
•Simulation of Stochastic Differential Equations
•Pricing of financial derivatives Monte Carlo simulations
•Pricing of financial derivatives with Binomial and Trinomial Trees
•Pricing of financial derivatives Finite Difference methods

Brief description of teaching and learning methods:
Teaching is via lectures enhanced with practical exercises, with reference to recommended textbooks and journal articles.

Contact hours:
  Autumn Spring Summer
Lectures 20
Practicals classes and workshops 12
Guided independent study 168
       
Total hours by term 200.00
       
Total hours for module 200.00

Summative Assessment Methods:
Method Percentage
Written exam 50
Written assignment including essay 50

Other information on summative assessment:
The written assignment is an individual project

Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:
2 hours closed book written examination

Requirements for a pass:
50% weighted average mark

Reassessment arrangements:
By written examination only, as part of the overall examination arrangements for the MSc programme.

Additional Costs (specified where applicable):

1) Suggested text books: Manfred Gilli, Dietmar Maringer and Enrico Schumann: Numerical Methods and Optimization in Finance Academic Press, 2011, ISBN-10: 0123756626, £63.99. 2) Specialist equipment or materials: 3) Specialist clothing, footwear or headgear: 4) Printing and binding: 5) Computers and devices with a particular specification: 6) Travel, accommodation and subsistence:


Last updated: 31 March 2017

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