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Risk Management

Objectives

This course is designed to train the students in evaluating and managing financial risk. The course deals mainly with market risk while mapping and describing other types of risks to financial institutions. The ultimate goal is to give tools for students to think critically about the existence and quantification of risks (both financial and non financial). 


General characterization

Code

2225

Credits

3.5

Responsible teacher

Gonçalo Sommer Ribeiro

Hours

Weekly - Available soon

Total - Available soon

Teaching language

English

Prerequisites

n/a


Bibliography

Textbook:
Jorion, P., 2006, Value at Risk, Mc Graw Hill, 3rd edition.
Other Readings:
Berkowitz, J., and J. O’Brien, 2002, How Accurate Are Value at Risk Models at Commercial Banks? Journal of Finance 57, 1093-1111.
Bloomberg Portfolio Value-at-Risk, 2011.
Jorion, P., 1997, Lessons from the Orange County Bankruptcy, Journal of Derivatives 4, 61- 66.
Jorion, P., 2000, Risk Management Lessons from Long-Term Capital Management, European Financial Management 6, 277-300.
RiskMetrics – Technical Document, J. P. Morgan, 1996. Return to RiskMetrics: The Evolution of a Standard, 2001. The 2006 RiskMetrics Methdology, 2006.

Teaching method

Class discussion: Good class participation consists of asking informed questions or making informed comments, as well as to deliver quality answers to questions asked in class.
Readings: Weekly readings on the topic being taught during that period. These readings aim to connect theory to real word current reality. The readings can be tested in the final exam or even in case questions.
Case assignments: There will be two case assignments for this course. A written analysis of each case is due for each group. The maximum number of pages (excluding tables) of the written report is four. The handout should be synthetic but specify clearly all the computations performed, present the results in well-formatted tables and graphs, and interpret and discuss the findings. Please do not hand in data listings or just raw software output. Presentation will factor in the grading. You must work in groups of 4-5 members in your write-up. Your work should be uploaded to Moodle before the due date (here you can include XL files you deem as relevant appendices).

Exam: the final exam will cover lectures, readings assigned in the textbook, additional readings, and materials distributed during class time. You can bring a cheat-sheet to the exam containing exclusively formulas but not text. You can use a calculator in the exam. Re-grade requests for exams must be submitted in writing within one week of the return of your exam. You must submit your entire exam along with an explanation of the grading issue.


Evaluation method

The course grade will be based on:

Case 1 (20%)

Case 2 (30%)

Final exam (50%): Online, through Excel and Word documents

Class participation can make a difference when between two grades


 

Subject matter

1 - Introduction

2 - Measuring Market Risk and Stylized Facts

3 - VaR of a Portfolio of Stocks

4 - Hedging a Portfolio of Stocks from Market and FX Risks 

5 - VaR for Bonds

6 - VaR of a Portfolio of Bonds

7 - VaR with Linear Derivatives

8 - VaR with Non-Linear Derivatives

9 - Portfolio VaR and Backtesting VaR

10 - Alternative Measures to VaR

11 - Monte Carlo and Forecasting Volatility

12 - Risk Reports Interpretation