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ISCTE-IUL  >  Education  >  MMF

Numerical Methods (1 º Sem 2019/2020)

Code: M7604
Acronym: M7604
Level: 2nd Cycle
Basic: No
Teaching Language(s): Portuguese
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 6.0 0.0 h/sem 30.0 h/sem 10.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 40.0 h/sem 128.0 h/sem 0.0 h/sem 168.0 h/sem
Since year 2012/2013
Pre-requisites No
Objectives This course gives basic knowledge in numerical methods used commonly used in the pricing of derivative products.  
Program
I. Basic numerical analysis
Interpolation
Numerical Derivation and integration
Linear systems
Euler method for EDO
II. Finite differences for parabolic equations
Explicit and implicit methods (1+1D)
Stability and convergence (1+1D)
Pricing of European options using finite differences.
ADI method (1+2D)
Pricing of American Options using finite differences (1+1D)
III. Monte Carlo method
Simulation of stochastic variables
Stochastic differential equations
Evaluation Method Regular grading system:
- One written exam with a worth of 100

Students that fail or want to improve their grade in the regular grading system have one additional moment to pass: a re-sit exam, which is worth 100% of the final grade.

In any of the evaluation systems (regular or re-sit exam) it is considered that a student has course approval if he has a grade equal or above 9.5 points.
Teaching Method The student should acquire analytical, information gathering, written and oral communication skills, through the following learning methodologies (LM):
1.Expositional, to the presentation of the theoretical reference  frames
2. Participative, with analysis and resolution of application exercises
3. Active, with the realization of individual works
4. Self-study, related with autonomous work by the student, as is contemplated in the Class Planning.
Observations
Basic Bibliographic Atkinson, K. ; Han, W. - Elementary Numerical Analysis, Wiley, 3rd ed. (2004)

Brandimarte, P. - Numerical Methods in Finance and Economics, Wiley, 2nd ed. (2006)

Higham, D.J. - An Introduction to Financial Option Valuation, Cambridge (2004)

Morton, K.W. ; Mayers, D.F. - Numerical Solution of Partial Differential Equations, Cambridge, 2nd ed. (2005)
Complementar Bibliographic Boto, J.P. - Introdução ao MATLAB (apontamentos)

Farlow, S.J. - Partial Differential Equations for Scientists and Engineers, Dover (1993)