GRA 6561 Computational Methods

GRA 6561 Computational Methods

Course code: 
GRA 6561
Department: 
Finance
Credits: 
6
Program of study: 
Master of Science in Quantitative Finance
Course coordinator: 
Tong Zhang
Product category: 
Master
Portfolio: 
MSc in Quantitative Finance
Semester: 
2020 Autumn
Active status: 
Active
Teaching language: 
English
Course type: 
One semester
Introduction

This course covers advanced computational methods and their applications in finance and economics. These methods can be used for derivative pricing, asset pricing, macroeconomic simulation, and other pertinent applications in the industry, finance/economics academia, and central banks.

Learning outcomes - Knowledge

After taking the course, students should know:

  • General numerical methods in economics and finance, such as nonlinear equation solving, optimization, approximation, finite difference, projection, and dynamic programming.
  • Specialized numerical methods in derivatives pricing, such as lattice/tree methods, Monte Carlo methods, and PDE methods.
Learning outcomes - Skills

After taking the course, students should be able to:

  • Apply advanced computational methods in finance and economics.
  • Do programming in Matlab or similar programming languages.
General Competence
  • Understanding of quantitative models and ability to implement quantitative methods.
Course content
  • General numerical methods
  • Lattice/Tree method
  • Monte Carlo method
  • PDE approach in option pricing
  • Dynamic programming
  • Ethics and sustainability in quantitative finance
Teaching and learning activities

The course will be organized as a mixture of lectures, presenting the theory and methods, in-class examples and hands-on implementations of the various methods and tools.

Software tools
Matlab
Additional information

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.

This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course starts.

At resit, all exam components must, as a main rule, be retaken during next scheduled course.

Honour Code

Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honour code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honour code system, to which the faculty are also deeply committed.

Any violation of the honour code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honour code and academic integrity. If you have any questions about your responsibilities under the honour code, please ask.

Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Exam categoryWeightInvigilationDurationGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA65611
Grading scale:
Point scale
Grading rules:
Internal examiner
Resit:
All components must, as a main rule, be retaken during next scheduled course
30No1 Week(s)Group (2 - 3)One week-long assignment
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA65611
Grading scale:
Point scale
Grading rules:
Internal and external examiner
Resit:
All components must, as a main rule, be retaken during next scheduled course
70No6 Hour(s)Individual take-home exam
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:30
Invigilation:No
Grouping (size):Group (2-3)
Duration:1 Week(s)
Comment:One week-long assignment
Exam code: GRA65611
Grading scale:Point scale
Resit:All components must, as a main rule, be retaken during next scheduled course
Exam category:Submission
Form of assessment:Written submission
Weight:70
Invigilation:No
Grouping (size):Individual
Duration:6 Hour(s)
Comment:take-home exam
Exam code: GRA65611
Grading scale:Point scale
Resit:All components must, as a main rule, be retaken during next scheduled course
Type of Assessment: 
Continuous assessment
Grading scale: 
ECTS
Total weight: 
100
Sum workload: 
0

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.