Fall 2021 - ACMA 440 D100
Models for Financial Economics (3)
Class Number: 5029
Delivery Method: In Person
Course Times + Location:
Mo 9:30 AM – 10:20 AM
WMC 3250, Burnaby
We 8:30 AM – 10:20 AM
WMC 2202, Burnaby
Exam Times + Location:
Oct 13, 2021
5:30 PM – 7:20 PM
WMC 3220, Burnaby
Nov 17, 2021
5:30 PM – 7:20 PM
WMC 3220, Burnaby
Prerequisites:ACMA 340 with a minimum grade of C.
Advanced actuarial models and their application to insurance and financial risks. Introduction to stochastic calculus: Ito's lemma, risk neutrality. Fundamental theorems of asset pricing. Black-Scholes-Merton partial differential equations. Exotic options. Monte Carlo methods. Advanced option pricing models. Implied volatility. Actuarial applications. Covers part of the syllabus for Exam IFM of the Society of Actuaries and Exam 3F of the Casualty Actuarial Society. Quantitative.
Some classes will take place in lieu of the tutorial session. These will be announced during the first lecture of the semester.
This course covers financial and actuarial models and their applications to insurance and financial risks. The topics covered include:
- The Black-Scholes-Merton Model : The Lognormal Distribution, Assumptions of the Black-Scholes-Merton Model, The Black-Scholes-Merton Formula, Option Greeks.
- Elementary Stochastic Calculus : Probability Theory, Stochastic Process, Martingale, Markov Process, Brownian Motion, Stochastic Differential Equations, Ito’s Lemma.
- The Black-Scholes-Merton Equation : Differential Equation and Valuation Under Certainty, The Black-Scholes-Merton Equation, Finite Difference Approximation, The Explicit Finite Difference Method, The Implicit Finite Difference Method, The Crank-Nicolson Method
- Mean-Variance Portfolio and Asset Pricing : Mathematics of Portfolios, Diversification, Mean-Variance Theory, Capital Asset Pricing Model, Arbitrage Pricing Theory
- Risk Neutrality and Fundamental Theorems of Asset Pricing : Intuition Behind Risk-Neutral Pricing, Risk-Neutral Pricing and the Binomial Model, Risk-Aversion and Marginal Utility, First-Order Condition for Portfolio Selection, Change of Measure and Change of Numéraire, The Girsanov Theorem, Fundamental Theorems of Asset Pricing
- More on Exotic Options: Asian Options, All-or-Nothing Options, Barrier Options, Monte Carlo Simulation.
- 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 : Applications to Life Insurance, Applications to P&C Insurance, Equity-Linked Insurance & Annuities, Pension Funding, Asset-Liability Management.
This course is accredited under the Canadian Institute of Actuaries (CIA) University Accreditation Program (UAP). Details of required courses and grades at Simon Fraser University are available here (https://www.cia-ica.ca/membership/university-accreditation-program-home/accredited-universities/accredited-university-detail?pav_universityid=236ca8c4-60e5-e511-80b9-00155d111030).
In addition to the specific university’s internal policies on conduct, including academic misconduct, candidates pursuing credits for writing professional examinations shall also be subject to the Code of Conduct and Ethics for Candidates in the CIA Education System and the associated Policy on Conduct and Ethics for Candidates in the CIA Education System. For more information, please visit Obtaining UAP Credits (https://www.cia-ica.ca/membership/university-accreditation-program-home/information-for-candidates/obtaining-uap-credits).
- Assignments 10%
- Term Project 10%
- Midterms 40%
- Final Exam 40%
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.
Students are expected to take responsibility for their learning. To assist students in understanding scholarly expectations,
the following actions are examples of violations of the Student Academic Integrity Policy. Please note that this list is not
- Submitting shared work as individual work (i.e, collusion)
- Submitting an assignment or paper more than once (i.e, cheating)
- Cheating during an exam: Using any device/mobile phone to receive or share information during the exam
- Submitting a purchased assignment or essay (i.e, contract cheating)
- Falsifying documents (e.g., Doctor’s note) to gain an advantage Accessing exam information from an unauthorized source (i.e., pay to pass)
Derivatives Markets, 3rd ed. Author: McDonald, R.L. (2013). Publisher: Pearson.
Chapters 12-14, 18-25, Appendices B and C.
eBook ISBN: 9780134234960
Book ISBN: 9780321543080
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: Continuous-Time Models. Shreve, S. E. (2004). Springer. Chapters 3-5, 11
Hardcover ISBN: 978-0-387-40101-0
Softcover ISBN: 978-1-4419-2311-0
Volatility and Correlation: The Perfect Hedger and the Fox, 2nd ed. Rebonato, R. (2005). Wiley. Chapters 6-9, 13, 14
Book available on-line through the SFU Library
eBook ISBN: 978-0-470-09140-1
Hardcover ISBN: 978-0-470-09139-5
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 Equity-linked Life Insurance. Hardy, M. (2003). Wiley. Chapters 1, 8, 13.
Department Undergraduate Notes:
Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or firstname.lastname@example.org
Students looking for a tutor should visit hhttps://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity web site http://www.sfu.ca/students/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/s10-01.html
TEACHING AT SFU IN FALL 2021
Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place. Whether your course will be in-person or through remote methods will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.
Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.