BØA2042 - Financial Modeling using Excel


Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours A

Course content

The topics taught in this course are:

  • Optimization in complete financial plans
  • Statistical analysis of stock prices and stock returns
  • Computation of risk measures
  • Portfolio construction and optimization
  • Capital market models
  • Option pricing models and option valuation
  • Time series modeling
  • Simulation.

Essential Excel capabilities to be employed are:

  • Built-in and user defined Excel functions
  • Related data tables and pivot tables
  • Goal Seek and data tables
  • Excel Solver
  • Data Analysis Tool Pack
  • Visual Basic for Application
  • Intersection with other Software/Programming environments like Python and Matlab

Learning outcome


In this course the student strengthens and extents principles in finance, statistics, risk analysis and optimization.


In this course the student learns how to translate and implement financial data and financial models by means of Excel spreadsheets and Visual Basic for Applications.

  • The student will be able to generate meaningful graphical representations of financial data, to statistically analyze financial data and to solve financial decision problems and market models.
  • The student also learns how to identify properties of financial models with respect to software implementation and solvability.
  • With respect to financial data and applications, the student will be able to use elementary and complex built-in Excel functions or add-inns like the Solver or Data Analysis Tool Pack.
  • For problems that require repeated computations or do not fit into the two-dimensional spreadsheet representation, the student learns to use the VBA environment of Excel and Microsoft Office.
  • The Student will be made aware of and acquire basic knowledge to use Excel within other programming environments like Matlab and Python.


  • The student learns how to apply his knowledge and skills in different practical situations.
  • The student will be encouraged to reflect about advantages, shortcomings and further reaching implications of his models and solutions.

Learning methods and activities

Lectures (Physical or digital), videos and data exercises.

Compulsory assignments

  • Two mandatory assignment

Further on evaluation

At the exam, most or all exercises need to be implemented with Microsoft Excel. A PC with Microsoft Excel will be provided and set up by NTNU. The exam follows the examination regulations of NTNU.

The course requires admission to study program, see "special conditions".

In case of postponed examination (continuation examination), written examination may be changed to oral examination.

Specific conditions

Required previous knowledge

This course requires elementary knowledge in accounting, economics and statistics.

Course materials

The curriculum will be announced when the course commences and supplementary literature will be provided/referred to throughout the course.

More on the course



Version: A
Credits:  7.5 SP
Study level: Intermediate course, level II


Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator:

Department with academic responsibility
NTNU Business School


Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 A INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 A INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU