FIE450 Programming with Applications in Finance

• Topics

  Topics

  • principles of programming in R
  • portfolio optimization
  • factor models
  • trading strategies
  • performance evaluation
  • derivatives pricing
  • risk managment

• Learning outcome

  Learning outcome

  This course introduces students into programming based on R and demonstrates several useful applications of R in finance. The course gives students an advantage when persuing a career in the financial industry.

  After completing this course, students will have the ability to:

  Knowledge:

  • recall the principles of programming in R;

  Skills:

  • obtaining and analyzing financial data;
  • estimate return characteristics;
  • compute efficient portfolios by means of Markowitz optimization;
  • recall the principles of single and multi-index models;
  • estimate index models;
  • implement trading strategies and do performance evaluation;
  • price options by means of Monte-Carlo simulation;
  • compute risk measures.

  General Competence:

  • utilize the obtained programming and modelling skills for solving problems in finance.

• Teaching

  Teaching

  This course is taught using a combination of regular lectures and examples. The lectures are aimed at providing the core information about finance while the lecture examples shall help to comprehend and deepen the understanding of the key ideas of the lecture. The examples shall be worked out and implemented in R by each student individually. To encourage students to solve all the examples on their own there will be no code snippets made available by the lecturer; only the solutions.

  Students are urged to bring their private laptops with them to be able to solve the examples during the lecture.

• Required prerequisites

  Required prerequisites

  Successful completion of the course FIE400E(N) is required. Basic knowledge in programming.

• Requirements for course approval

  Requirements for course approval

  None

• Assessment

  Assessment

  The final grade is based on two group assignments (4 members), each weight 50%, graded on A-F and needs to be in English. Each group assignment will have an R-code as its delivery. Only the overall course grade will be presented on the transcript and the diploma.

• Grading Scale

  Grading Scale

  Grading scale A-F.

• Computer tools

  Computer tools

  Programming language R.

• Semester

  Semester

  Spring

• Literature

  Literature

  • Emmanuel Paradies, "R for Beginners", available on cran.r-project.org
  • Longhow Lam, "An Introduction to R", available on cran.r-project.org
  • Bodie Zvi, Alex Kane, and Alan J. Marcus, "Investments", McGraw-Hill, 2014
  • John C. Hull, "Options, Futures and Other Derivatives", Pearson Prentice Hall, 2015