MATHS 3012 - Financial Modelling: Tools & Techniques III
North Terrace Campus - Semester 2 - 2024
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General Course Information
Course Details
Course Code MATHS 3012 Course Financial Modelling: Tools & Techniques III Coordinating Unit Mathematical Sciences Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Available for Study Abroad and Exchange Y Prerequisites MATHS 1010 or MATHS 1011 or ECON 1010 Assumed Knowledge Familiarity with Excel spreadsheets Assessment Ongoing Assessment, exam Course Staff
Course Coordinator: Elliot Herrington
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1. demonstrate an understanding of basic financial market concepts
2. construct binomial tree models
3. price a wide variety of contingent claims using principles of non-arbitrage
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1,2,3 Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
1,2,3 Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
2,3 Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
1,2,3 -
Learning Resources
Required Resources
None.Recommended Resources
1. Binomial Models in Finance by J Van Der Hoek and R Elliot, Cambridge
2. Elementary Calculus of Financial Mathematics by Roberts, Cambridge
3. Options, Futures, and Other Derivatives 7th ed. by Hull, PearsonOnline Learning
This course uses MyUni exclusively for providing electronic resources, such as notes, videos, quizzes, assignments and solutions et cetera. -
Learning & Teaching Activities
Learning & Teaching Modes
Comprehensive course notes are provided. Each week, videos will be made available. Videos will consist of the lecturer explaining key material and examples from the lecture notes. Weekly face-to-face lectures and tutorials supplement this, providing exercises to enhance learning and confirm understanding including interaction with the lecturer and/or tutor. Three written assignments, three online tests and weekly quizzes provide the assessment opportunities for students to gauge and demonstrate their progress and understanding. Regular consulting sessions can be used to interact with the lecturer and/or tutor.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload Hours Lecture material
Tutorials
Online tests
Online quizzes
Assignments12 weeks
12 tutorials
3 tests
12 quizzes
3 assignments90 hours
24 hours
3 hours
3 hours
30 hoursTotal 150 hours Learning Activities Summary
Topics
1. Call options - European and American
2. Trading options
3. Put options
4. Arbitrage
5. Binomial assett pricing model
6. Price derivatives using risk neutral probabilities
7. Cox-Ross-Rubinstein (CRR) model
8 Arrow-Debreu securities and state prices
9. Black Scholes model
10. Volatility
11. Variable interest rates
12. Valuing American options
13. Barrier options
14. Forward contracts
15. Interest rate derivatives
16. Bonds
17. Ho-Lee model
18. Futures markets
19. Managing risk
20. Hedging
21. Sensitivity of options
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Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Component Weighting Objective Assessed Assignments 15% all Online quizzes 10% all Online tests 15% all Examination 60% all Assessment Related Requirements
An aggregate score of at least 50% is required to pass the course.
Assessment Detail
Assessment Item Distributed Due Date Weighting Assignment 1
Assignment 2
Assignment 3
Online test 1
Online test 2
Online test 3
Quizzes
ExamWeek 4
Week 6
Week 8
Week 4
Week 6
Week 8
Weekly
exam periodWeek 6
Week 8
Week 10
Week 5
Week 7
Week 8
Weekly5%
5%
5%
5%
5%
5%
10% in total
60%Submission
Assignments are to be submitted online via MyUni. Late assignments will not be accepted.
Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
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