University of Liege | Version française
Academic year 2014-2015Value date : 29/03/2015
FINA0063-1  Financial Modeling and IT

Duration :  30h Th
Number of credits :  
Master degree in Business Engineering, professional focus in Financial Engineering, 2nd year5
Lecturer :  Laurent Bodson
Language(s) of instruction :  
English language
Organisation and examination :  
Teaching in the second semester
Course contents :  
Organization and Contents
A. MATLAB, Excel... for financial modeling
B. Financial statement forecasting
1. Review of theory and concepts 2. Modeling examples
C. Time Value of Money
D. Bond models
3. Modeling the term structure 4. Duration 5. Bond pricing
E. Equity models
6. Simulating stock prices
F. Portfolio models
7. Efficient portfolios 8. Estimating betas (+Kalman filter) 9. Black-Litterman 10. Value-at-Risk
G. Option-pricing models
11. Binomial option pricing 12. Black-Scholes model 13. Option Greeks 14. Portfolio insurance
Learning outcomes of the course :  
This course introduces the foundations for financial models and their applications using IT solutions. It emphasizes three aspects of each model: its set of assumptions, its specification and its applications. Its primary goal is to demonstrate how various financial models can be practically incorporated into companies' strategic decision making and risk management. Intended Learning Outcomes addressed by the courses :
  • Strengthening knowledge and understanding of basic management disciplines in order to use them to perform a rigorous analysis of a management situation and provide pertinent solutions
  • Gaining the knowledge and understanding of one of the following fields: supply chain management, financial engineering, performance management systems or intrapreneuriat; being able to mobilize them in order to solve concrete management problems or cases
  • Capacity to research autonomously and methodically the information needed to solve a complex, transversal management problem, to perform a rigorous analysis of it and to suggest pertinent solutions
  • Understanding and being capable of using modelization methods when seeking a solution for a concrete management problem
  • Providing concrete solutions to a management problem, integrating a dimension of technology, innovation or production
  • Developing a critical sense (arguing)
  • Developing a transversal, global vision
Prerequisites and co-requisites/ Recommended optional programme components :  
This course requires basic prerequisites in corporate finance, portfolio management and derivative instruments. Familiarity with the cash flows discounting approach and basic statistical techniques (e.g. descriptive statistics, hypothesis testing and linear regression) is assumed but these concepts will be "refreshed".
Planned learning activities and teaching methods :  
Ex-cathedra lectures (theory), group presentations, case studies, exercises and financial simulations.
Mode of delivery (face-to-face ; distance-learning) :  
Recommended or required readings :  
Suggested notes: - Financial Modeling using Excel and VBA, Chandan Sengupta, Wiley Finance, 2004. - Financial Modeling - 3rd Edition, Simon Benninga, MIT Press, 2008.
Assessment methods and criteria :  
Case studies:
  • collective works 1/3
  • participation in class 2/3
Relative weighting of the individual assessment : 66%.
Work placement(s) :  
Organizational remarks :  
Contacts :  
Affiliate Professor:


Bachelors, masters, advanced master et AESS

Lifelong Learning Education

Doctorat (Ph.D.)

Search by teacher

Search by course code and title

Students and Studies Administration - Academic Affairs - Contact : Monique Marcourt, General Director for Education and Training - Developed by SEGI