Nova School of Business and Economics

Financial Modeling

Code

2255

Academic unit

null

Department

null

Credits

3,5

Teacher in charge

Afonso Fuzeta Eça

Teaching language

English

Objectives

This course is designed to provide students with a strong foundation in Excel and VBA tools for financial modelling. We will also cover some basic Matlab functionalities. Broad topics include Excel functions (financial, arithmetic, text, lookup and array), databases and tables, Bloomberg data and Excel, VBA to enhance excel experience and an introduction to Matlab. We will seek a balance between describing Excel tools, developing VBA code and their applicability to financial modelling. Emphasis will be on problem solving and lectures will concentrate on practical examples to describe the tools and their applicability.

Prerequisites

N/A

Subject matter

  • Class 1 - Introduction to the course and principles of model building
  • Class 2 - Data sourcing
  • Class 3 - Analysing stock returns
  • Class 4 - How to estimate beta
  • Class 5 - Pricing with discounted cash flow methods
  • Class 6 - Optimization: numerical and analytical methods
  • Class 7 - Introduction to Visual Basic for Applications
  • Class 8 - Optimization with VBA - I
  • Class 9 - Optimization with VBA - II
  • Class 10 - Pricing assets by simulation
  • Class 11 - Estimating expected returns
  • Class 12 - Introduction to Matlab
  • Bibliography

    Resources

    The textbook is: Rees, M., Financial modelling in practice

    There will be documents posted for download on the class web page.

    Teaching method

     Lectures: will concentrate on case studies to describe the tools and their applicability
     Assigned readings: book chapters
     Individual assignments: three assignments
     Final exam: will cover lectures, readings assigned in the textbook, additional readings, and materials distributed during class time. The exams will be closed book.

    Evaluation method

    The final grade will be a weighted average of the grades in the assignments:

  • Individual assignments 40%
  • Exam 40%
  • Class participation 20%
  • Courses