Fall 2017  ACMA 440 D100
Models for Financial Economics (3)
Class Number: 7904
Delivery Method: In Person
Overview

Course Times + Location:
Sep 5 – Dec 4, 2017: Mon, 12:30–2:20 p.m.
BurnabySep 5 – Dec 4, 2017: Wed, 12:30–1:20 p.m.
Burnaby 
Exam Times + Location:
Oct 19, 2017
Thu, 4:30–6:30 p.m.
BurnabyNov 9, 2017
Thu, 4:30–6:30 p.m.
BurnabyDec 14, 2017
Thu, 12:00–3:00 p.m.
Burnaby

Instructor:
JeanFrancois Begin
jbegin@sfu.ca
7787824478
Office: SCK10548

Prerequisites:
ACMA 320 and ACMA 340.
Description
CALENDAR DESCRIPTION:
Advanced actuarial models and their application to insurance and financial risks. Exotic options. Marketmaking, hedging and option greeks. Introduction to stochastic calculus: Ito's lemma, risk neutrality, fundamental theorems of asset pricing. Interest rate modelling and derivatives. Advanced option pricing models. Implied volatility and empirical issues. Actuarial applications: variable annuities. Quantitative.
COURSE DETAILS:
Outline:
This course covers financial and actuarial models and their applications to insurance and financial risks. The topics covered include:
 The BlackScholesMerton Model : The Lognormal Distribution, Assumptions of the BlackScholesMerton Model, The BlackScholesMerton Formula, Option Greeks.
 Elementary Stochastic Calculus : Probability Theory, Stochastic Process, Martingale, Markov Process, Brownian Motion, Stochastic Differential Equations, Ito’s Lemma.
 The BlackScholesMerton Equation : Differential Equation and Valuation Under Certainty, The BlackScholesMerton Equation, Finite Difference Approximation, The Explicit Finite Difference Method, The Implicit Finite Difference Method, The CrankNicolson Method
 Risk Neutrality and Fundamental Theorems of Asset Pricing : Intuition Behind RiskNeutral Pricing, RiskNeutral Pricing and the Binomial Model, RiskAversion and Marginal Utility, FirstOrder Condition for Portfolio Selection, Change of Measure and Change of Numéraire, The Girsanov Theorem, Fundamental Theorems of Asset Pricing
 Exotic Options : Asian Options, AllorNothing Options, Gap Options, Barrier Options, Compound Options, Monte Carlo Simulation
 Interest Rate Modelling and Derivatives : Introduction to Interest Rate Derivatives, Interest Rate Derivatives and the BSM Approach, ContinuousTime ShortRate Models (RendelmanBartter Model, Vasicek Model, Cox, Ingersoll and Ross Model), InterestRate Trees (Black, Derman and Toy Model, Hull and White Model)
 Advanced Option Pricing Models : Measurement and Behaviour of Volatility, Autoregressive Conditional Heteroskedasticity, Generalized ARCH, The Cox Model, The Merton (1976) Model, The Heston (1993) Model, The Bates (1996) Model, The Heston and Nandi (2000) Model
 Implied Volatility and Empirical Issues : Implied Volatility, Volatility Smiles, Hedging in the Presence of Volatility Smiles, Empirical Facts on Equity Volatility Smiles, Model Calibration
 Actuarial Applications : Guaranteed Minimum Death Benefit, Guaranteed Minimum Maturity Benefit, Guaranteed Minimum Withdrawal Benefit, Guaranteed Minimum Income Benefit, Guaranteed Minimum Accumulation Benefit, Key Risks of Variable Annuities, Hedging and Risk Management of Variable Annuities, Lapse Behaviour, Pros and Cons of Variable Annuities
This course is accredited under the Canadian Institute of Actuaries (CIA) University Accreditation Program (UAP) for the 20172018 academic year. Achievement of the established exemption grade in this course may qualify a student for exemptions from writing certain preliminary exams. Please note, a combination of courses may be required to achieve a single exemption. Please see http://www.ciaica.ca/membership/uap for full details.
Grading
 Assignments & InClass Activities 15%
 Oral Presentation 5%
 Quizzes 10%
 Midterm 1 15%
 Midterm 2 15%
 Final Exam 40%
NOTES:
The pass mark is 50%. The final grade will be allocated according to the student’s achievement in the course. Under no circumstances will late assignments be accepted.
All above grading is subject to change.
Materials
REQUIRED READING:
Derivatives Markets, 3rd ed. Author: McDonald, R.L. (2013). Publisher: Pearson.
Chapters 1214, 1825, Appendices B and C.
eBook ISBN: 9780134234960
Book ISBN: 9780321543080
RECOMMENDED READING:
Options, Futures, and Other Derivatives. Hull, J. C. (2006). Pearson. Chapters 14, 15, 19, 20, 28, 31.
eBook ISBN: 9780134234939
Book ISBN: 9780133456318
Stochastic Calculus for Finance II: ContinuousTime Models. Shreve, S. E. (2004). Springer. Chapters 35, 11
Hardcover ISBN: 9780387401010
Softcover ISBN: 9781441923110
Volatility and Correlation: The Perfect Hedger and the Fox, 2nd ed. Rebonato, R. (2005). Wiley. Chapters 69, 13, 14
Book available online through the SFU Library
eBook ISBN: 9780470091401
Hardcover ISBN: 9780470091395
Interest Rate Models  Theory and Practice: With Smile, Inflation and Credit. Brigo, D. & Mercurio, F. (2007). Springer. Chapters 1, 3.
Investment guarantees: Modeling and risk management for equitylinked life insurance. Hardy, M. (2003). Wiley. Chapters 1, 8, 13.
Department Undergraduate Notes:
Students with Disabilites:
Students requiring accommodations as a result of disability must contact the Centre for Students with Disabilities 7787823112 or csdo@sfu.ca
Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/needatutor.html. We accept no responsibility for the consequences of any actions taken related to tutors.
Registrar Notes:
SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s1001.html
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