NBS8201 : Risk Modelling
- Offered for Year: 2020/21
- Module Leader(s): Professor Robert Sollis
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: | 10 |
ECTS Credits: | 5.0 |
Aims
This module aims to provide students with a detailed understanding of the key mathematical and statistical techniques used by financial institutions (e.g. investment banks, insurance companies, hedge funds) for modelling the risks associated with their assets and liabilities. The module will also explain in detail how financial regulators influence the risk management strategies employed by financial institutions.
Outline Of Syllabus
This module concentrates on the techniques used for modelling three particular types of risk;
(i) interest rate risk
(ii) credit risk
(iii) market risk.
These techniques range from simple mathematical models, through to more complex statistical techniques such as Monte Carlo simulation. Empirical applications at the individual, company and country level will be employed to illustrate the techniques in action. Relevant financial regulations will also be critically analysed. A summary of the lecture schedule is given below.
1. Introduction and interest rate risk
- types of risk, the repricing model, the maturity model.
2. Interest rate risk
- duration, immunization, convexity.
3. Interest rate risk and credit risk
- forecasting interest rates, linear discriminant models, linear probability models.
4. Credit risk
- linear probability models, limited dependent variable models.
5. Credit risk and market risk
- default rate models, modelling and forecasting volatility.
6. Market risk
- VaR by historical simulation, VaR by the delta-normal approach, VaR by Monte Carlo simulation, backtesting VaR models.
7. Market risk
- backtesting VaR models, VaR and financial regulation, VaR and the 2008-2009 global financial crisis.
Teaching Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
Teaching Activities
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Structured Guided Learning | Lecture materials | 9 | 2:00 | 18:00 | 9 hours of non-synchronous lectures |
Guided Independent Study | Assessment preparation and completion | 15 | 1:00 | 15:00 | N/A |
Guided Independent Study | Directed research and reading | 24 | 1:00 | 24:00 | N/A |
Scheduled Learning And Teaching Activities | Small group teaching | 5 | 1:00 | 5:00 | N/A |
Structured Guided Learning | Structured research and reading activities | 5 | 2:00 | 10:00 | 5 hours of structured guided learning |
Scheduled Learning And Teaching Activities | Drop-in/surgery | 4 | 1:00 | 4:00 | N/A |
Guided Independent Study | Independent study | 24 | 1:00 | 24:00 | N/A |
Total | 100:00 |
Teaching Rationale And Relationship
• Lectures provide the basic structure of the methods and theories that are introduced and an overview of the current issues.
• Seminars provide an opportunity to enhance understanding of the empirical methods and the theoretical aspects of the module.
Assessment Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
The format of resits will be determined by the Board of Examiners
Exams
Description | Length | Semester | When Set | Percentage | Comment |
---|---|---|---|---|---|
Written Examination | 99 | 2 | A | 100 | 24 hr Take home/online exam |
Exam Pairings
Module Code | Module Title | Semester | Comment |
---|---|---|---|
2 | London equivalent module |
Formative Assessments
Description | Semester | When Set | Comment |
---|---|---|---|
Prob solv exercises | 2 | M | Quiz in lectures |
Assessment Rationale And Relationship
The examination tests understanding of how econometrics can be used to model credit risk.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- NBS8201's Timetable