This advanced finance subject explores the concept of derivatives and their associated pricing, hedging and trading strategies. This includes the rationale underlying derivative market structures and mechanics and the application and pricing of derivative products.
|Academic unit:||Bond Business School|
|Subject title:||Derivative Products|
Delivery & attendance
|Attendance and learning activities:||Attendance at all class sessions is expected. Students are expected to notify the instructor of any absences with as much advance notice as possible.|
|Prescribed resources:|| |
|[email protected] & Email:||[email protected] is the online learning environment at Bond University and is used to provide access to subject materials, lecture recordings and detailed subject information regarding the subject curriculum, assessment and timing. Both iLearn and the Student Email facility are used to provide important subject notifications. Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student.|
To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au
Assurance of learning
Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.
At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.
Program Learning Outcomes (PLOs)
Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.
Subject Learning Outcomes (SLOs)
On successful completion of this subject the learner will be able to:
- Demonstrate advanced knowledge of the contractual features and properties of forwards, futures, options and credit derivatives on a range of underlying assets and commodities.
- Apply appropriate models to price forwards, futures, options and credit derivatives and demonstrate an understanding of the mathematical derivations and economic rationale underlying the models.
- Demonstrate the ability to use option trading strategies.
- Demonstrate the ability to apply and explain pricing models used for risk.
- Develop a computational model for calculating measures of asset variance for a real-world derivative application.
- Write an effective written report to communicate the potential usefulness and impact of chosen computational derivative model.
|Project||Develop computational models for calculating measures of asset variance and write a concise report to explain and interpret the findings.||20%||In Consultation||1, 2, 3, 4, 5, 6.|
|Paper-based Examination (Closed)||Final Examination - short answer analytical questions||40%||Final Examination Period||1, 2, 3, 4, 5, 6.|
|Paper-based Examination (Closed) ^||n/a||40%||Week 7 (Mid-Semester Examination Period)||1, 2, 3.|
Students must pass the final examination to pass the subject.
- ^ Students must pass this assessment to pass the subject
- * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
|High Distinction||85-100||Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking.|
|Distinction||75-84||Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas.|
|Credit||65-74||Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above.|
|Pass||50-64||Usually awarded to students whose performance meets the requirements set for work provided for assessment.|
|Fail||0-49||Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines.|
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
Students must check the [email protected] subject site for detailed assessment information and submission procedures.
Policy on late submission and extensions
A late penalty will be applied to all overdue assessment tasks unless an extension is granted by the subject coordinator. The standard penalty will be 10% of marks awarded to that assessment per day late with no assessment to be accepted seven days after the due date. Where a student is granted an extension, the penalty of 10% per day late starts from the new due date.
Policy on plagiarism
University’s Academic Integrity Policy defines plagiarism as the act of misrepresenting as one’s own original work: another’s ideas, interpretations, words, or creative works; and/or one’s own previous ideas, interpretations, words, or creative work without acknowledging that it was used previously (i.e., self-plagiarism). The University considers the act of plagiarising to be a breach of the Student Conduct Code and, therefore, subject to the Discipline Regulations which provide for a range of penalties including the reduction of marks or grades, fines and suspension from the University.
Feedback on assessment
Feedback on assessment will be provided to students within two weeks of the assessment submission due date, as per the Assessment Policy.
Accessibility and Inclusion Support
If you have a disability, illness, injury or health condition that impacts your capacity to complete studies, exams or assessment tasks, it is important you let us know your special requirements, early in the semester. Students will need to make an application for support and submit it with recent, comprehensive documentation at an appointment with a Disability Officer. Students with a disability are encouraged to contact the Disability Office at the earliest possible time, to meet staff and learn about the services available to meet your specific needs. Please note that late notification or failure to disclose your disability can be to your disadvantage as the University cannot guarantee support under such circumstances.
Additional subject information
As part of the requirements for Business School quality accreditation, the Bond Business School employs an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
The properties of option prices and valuation methods are discussed. Arbitrage and the Law of One Price are described with examples. Put-call parity is derived from these principles.
Options are demonstrated graphically and mathematically. The Binomial Tree valuation method is also introduced. The relationship between Binomial Trees, Binomial Lattices and a Recombinant Binomial Tree is presented.
The main concepts of Brownian motion beginning with the formula definition of a Weiner Process is presented. The mathematics of stochastic calculus are also introduced. The importance of stochastic models of the behaviour of security prices is discussed.
Ito’s Lemma is derived. Applications of Ito’s Lemma are presented and the relevance to Forward Pricing proven. The relevance of Ito’s lemma is used in the context of price and implied volatility.
The standard stochastic model of the behaviour of security prices is presented in mathematical terminology. The Black-Scholes-Merton (BSM) Partial Differential Equation (PDE) is derived. The only known analytic solution of this PDE is given and explained.
There are several dimensions of risk involved in taking a position in an option or other derivative. Each of these dimensions can be addressed with various hedging strategies. Collectively, these risks are referred to as Greeks. The full set of Greeks are discussed as well as the mathematical formulas used in the context of European style options.
The terminology of credit risk is defined and discussed. The various approaches for modelling credit risk are presented. A number of models for credit risk are discussed.
The desirable characteristics of a model for the term structure of interest rates are presented. This leads on to as a computational tool, the risk-neutral approach to the pricing of zero-coupon bonds and interest rates. The classic Vasicek, Cox-Ingersoll-Ross and Hull and White models for the term structure of interest rates are presented in mathematical detail, discussed and compared.
The term complete market is explained and discussed in the context of risk-neutral pricing and martingales. The equivalent martingale measure is presented and pricing of exotic derivatives based on this approach is shown by formula and examples.