Derivatives Pricing

Module description

Summary:

This module is available on the MSC Finance and Investment, MSC Finance and Management, MSC Financial Mathematics, MSC Accounting and Finance, MSC Marketing and Financial Services, MSC Financial Mathematics, MSC Economics and all other University of Exeter Business School MS programs, aims to equip you with theoretical frameworks and numerical methods to evaluate credit instruments and financial derivative instruments in the stock, equity, FX and interest rate markets. It covers the analysis of the five distinct valuation methods, including Forwards, Futures, SWAPs, and options via Binomial Trees and Black and Scholes model as well as Fixed Income Instruments and Securitization techniques and the numerical methods to price derivatives in the equity market.

Prerequisite: The students signing for this class are expected to have good command of the University of Exeter Business School Approved Financial Calculator, MS Excel, and basic financial concepts of NPV, Bond and Stock Pricing.

Additional Information:

Internationalization

This module helps students build an online professional profile, allowing them to connect with former students and potential employers internationally in more than 60 countries and hundreds of banks across the globe. Also, many of the examples discussed throughout the module are based on American, European and Asian models.

External Engagement

This module is accredited by the Chartered Financial Analyst Institute (CFA) and all of the content is based on the CFA examination.

Employability

As well as creating an online profile aimed at employers in more than 60 countries and hundreds of banks across the globe, students also develop their understanding and evaluation of derivatives, financial engineering skills, and risk assessment skills.

Sustainability

All of the resources for this module are available on the ELE (Exeter Learning Environment).

Full module specification

Module title:Derivatives Pricing
Module code:BEAM035
Module level:M
Academic year:2016/7
Module lecturers:
  • Dr Stanley Gyoshev - Convenor
Module credit:15
ECTS value:

7.5

Pre-requisites:

None

Co-requisites:

None

Duration of module: Duration (weeks) - term 2:

11

Module aims

This module aims to prepare the student for the profession of Derivatives Trader or the hedging responsibility of Financial Director.  It starts with the historical precedents, runs through current developments and emphasizes on the technical details of valuation of all derivatives and fixed income products. This module aims to equip students with an understanding of the theoretical framework necessary to value and analyze derivative financial instruments in the equity, interest rate and other markets, and with a practical appreciation of the techniques used to value derivatives and use them in real-world settings.  It covers the analysis of binomial trees, the Black and Scholes model and numerical methods to price derivatives in the equities, currency rate, fixed income and other market. The module will also introduce various interest rate options and models commonly used to price these products. Students will be required to become familiar with the standard forms of options contracts, valuation and hedging. The module examines a variety of distinct models from theoretical and technical points.

NB!

The module is organized around valuation techniques and not around derivatives and fixed income instruments. The pace of the module is designed for the students to understand the different valuation techniques and the derivatives and fixed income instruments are used as example. Therefore, we take in the beginning several weeks to cover a single instrument (chapter) and at the end we cover several instruments (chapters) per week.

ILO: Module-specific skills

  • 1. price various derivatives and credit instruments and evaluate critically their usefulness in risk reduction applications using MS Excel and Financial Calculators.
  • 2. understand the forms of basic derivative contracts and important hedging strategies
  • 3. understand the theoretical analysis of binomial trees and the Black and Scholes model, and its relationship to the Binomial Option Pricing Model
  • 4. price financial options using both analytical and numerical techniques
  • 5. understand some popular interest rate option products and how they can be priced including all kinds of fixed and variable SWAPs and other fixed income instruments

ILO: Discipline-specific skills

  • 6. advance their knowledge of mathematical finance and learn the application of computational methods in pricing option products
  • 7. develop rigorous theoretical arguments based on mathematical and analytical reasoning;
  • 8. rigorously to analyze problems in finance, especially derivatives and fixed income pricing;
  • 9. interpret financial data and problems in the light of established theories;
  • 10. access empirical research literature and critically appraise it;
  • 11. use relevant databases, existing research literature and techniques to conduct a detailed investigation of problems arising in financial markets and models;

ILO: Personal and key skills

  • 12. develop their interpersonal skills and group working through the LinkedIn assignment
  • 13. show confidence in debate and discussion through active participation in class
  • 14. develop computing skills throughout this module
  • 15. plan and manage his/her own study;
  • 16. make appropriate use of learning resources, including sophisticated computer datasets;
  • 17. analyze critically problems arising in both academic and practical contexts
  • 18. present effectively results and achievements of individual projects.

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
301200

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Contact hours20Lectures
Contact hours10Tutorials

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
11890

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Individual Project112 &14 – 18Lecture discussion
7 or 10 tests. The best 5 to count for 2% each1020 to 50 minutes1 – 11 & 15 – 17 ELE Moodle feedback
Online Written Examination891 to 2 hours1 – 11 & 15 – 17ELE Moodle feedback
0
0
0

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
AllOnline Written Examination (100%) 1- 2 hours1 – 11 & 15 – 17August

Re-assessment notes

There are no re-sit for the weekly tests. For the weekly tests the mark assigned is the mark that the student has received on the re-sit final examination.

Syllabus plan

  •  Forward Markets and Contracts
  • Futures Markets and Contracts
  • Option Markets and Contracts
  • Swap Markets and Contracts
  • Interest Rate Derivative Instruments
  • Using credit derivatives to enhance return and manage risk
  • General Principles of Credit Analysis
  • Solving the Liquidity Conundrum
  • Term Structure and Volatility of Interest Rates
  • Valuing Bonds with Embedded Options
  • Mortgage-Backed Sector of the Bond Market
  • Europe's whole loan sales market burgeoning as mortgage credit market comes of age
  • Asset-Backed Sector of the Bond Market
  • Valuing Mortgage-Backed and Asset-Backed Securities
  • Ethical use of derivatives and fixed income instruments: Nassim Taleb and Daniel Kahneman: Reflection on a Crisis

*Tutorials

Students will be assigned to a group which will commence from week one.

On the first week the LinkedIn assignment will be discussed. On all consecutive weeks there will be 40 minute VLE test. (http://vle.exeter.ac.uk) The test will have 10 to 15 computational problems based on the excel spreadsheets assigned from the material learned the previous week as well as all weeks preceding. The test may also have multiple choice questions based on the material discussed in class and on the Power Point presentations given to the students.

Indicative learning resources - Basic reading

Core Texts:
1. Don M. Chance, (2003), Analysis of Derivatives for the CFA® Program. 6th ed. Charlottesville, Virginia 22903: AIMR
2. Frank J. Fabozzi, (2005), Fixed Income Analysis for the CFA® Program. 2nd ed. Charlottesville, Virginia 22903: AIMR

Useful additional texts are:
3. Hull, J., (2000), Options, Futures and other derivatives, 3rd ed. London. Prentice Hall
4. Kolb, R.W.,(2002), Futures, Options, & Swaps, Blackwell
5. Chance, D., (1997), Introduction to Derivatives, Thomson Learning
6. Wilmott, P., (2001), Paul Wilmott Introduces Quantitative Finance, 2nd edition, John Wiley
7. Wilmott, P., S. Howison and J. Dewynne, (1995), The Mathematics of Financial Derivatives: a Student Introduction, Cambridge University Press
8. Clewlow, L. and C. Strickland, (1998), Implementing derivative models, John Wiley
9. Haug , Espen Gaarder, (2007), Derivatives: Models on Models, John Wiley & Sons
10. Taleb , Nassim Nicholas, (1997), Taleb on Risk: Dynamic Hedging, John Wiley & Sons
11. Taleb , Nassim Nicholas, (2001), Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets, Penguin
12. Taleb , Nassim Nicholas, (2007), The Black Swan: The Impact of the Highly Improbable, John Wiley & Sons
13. Das, Satyajit, (2006), Traders, Guns and Money: Knowns and Unknowns in the Dazzling World of Derivatives, Financial Times/ Prentice Hall
14. Partnoy, Frank, (1998), FIASCO: Blood In the Water on Wall Street: Guns, Booze and Bloodlust - The Truth About High Finance, Profile Business
15. Osband, Kent, (2001), Iceberg Risk: An Adventure in Portfolio Theory: An Adventure in Portolio Theory, Texere Publishing,US
16. Lowenstein, Roger, (2002), When Genius Failed: The Rise and Fall of Long Term Capital Management, Fourth Estate
17. Bernstein, Peter L., (1998), Against the Gods: The Remarkable Story of Risk, John Wiley & Sons
18. Ross, Sheldon M., (2002), An Elementary Introduction to Mathematical Finance
19. Alison Etheridge, (2002), A Course in Financial Calculus

Module has an active ELE page?

Yes

Indicative learning resources - Web based and electronic resources

The following websites are worth exploring, particularly if you are new to the subject. Please understand that material from these must not be cut and pasted into assignments.
www.cbot.com  -- Chicago Board of Trade
www.cme.com  -- Chicago Mercantile Exchange

Indicative learning resources - Other resources

http://lists.exeter.ac.uk/lists/04ED1553-9F08-9273-45ED-ED4849F8BB91.html

Origin date

14/07/2014

Last revision date

25/09/2015