fin3clf computational finance
COMPUTATIONAL FINANCE
FIN3CLF
2016
Credit points: 15
Subject outline
Computational Finance aims to provide practical relevance and real-world application to finance concepts. Adopting a problem-solving approach, it focuses on computational issues in corporate finance, asset portfolios and stock options. The areas covered by the subject include application of net present valuation approach, capital cost estimation and regression analysis, asset and option pricing and risk management, portfolio optimisation, and simulation of financial outcomes. The subject intends to provide students with theories and modellingskills required for financial decision making in business and management and also enable students mastering the quantitative skills and computation techniques required to solve practical problems.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorAngela Lou
Available to Study Abroad StudentsYes
Subject year levelYear Level 3 - UG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites FIN2FIN or FIN1FOF
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Financial modelling | Prescribed | Benninga, S. | 4RD ED. MIT PRESS, 2014 |
Graduate capabilities & intended learning outcomes
01. A fine understanding of main financial theories introduced to the subject
- Activities:
- Lecture, computer lab class, assignment, practice exam, final exam
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
02. Ability to explain the main mathematical constituents of financial statements and optimisation problem
- Activities:
- Lecture, computer lab class, assignment, practice exam, final exam
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
03. Ability to translate practical problems into a formal language and solve them accordingly
- Activities:
- Lecture, computer lab, assignment, practice exam, final exam
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
04. Ability to solve various financial problems by Excel: including asset evaluation, optimal portfolio generation, option pricing, etc.
- Activities:
- Lecture, computer lab class, assignment
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
05. Master the quantitative skills and computation techniques
- Activities:
- Lecture, computer lab class, assignment
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
06. Develope modelling skills required for financial decision making in business and management
- Activities:
- Lecture, computer lab class, assignment
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
07. Develop professional forms that facilitate financial evaluation and investment tasks
- Activities:
- Lecture, computer lab class
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Adaptability Skills)
08. Develop creative ways to solve financial problems efficiently
- Activities:
- Lecture, computer lab class
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
Subject options
Select to view your study options…
Melbourne, 2016, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAngela Lou
Class requirements
Computer LaboratoryWeek: 31 - 43
One 1.0 hours computer laboratory other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
One 2.0 hours lecture other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 3-hour final examination | 70 | 01, 02, 03, 04, 06, 07 | |
| one 60 minute midterm examination | 20 | 01, 02, 03, 05, 06 | |
| tutorial exercises | equivalent to 1000-words | 10 | 01, 02, 03, 04, 05, 06, 08 |
Vietnam, 2016, Semester 2, Day
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAngela Lou
Class requirements
Computer LaboratoryWeek: 31 - 43
One 1.0 hours computer laboratory other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
One 2.0 hours lecture other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 3-hour final examination | 70 | 01, 02, 03, 04, 06, 07 | |
| one 60 minute midterm examination | 20 | 01, 02, 03, 05, 06 | |
| tutorial exercises | equivalent to 1000-words | 10 | 01, 02, 03, 04, 05, 06, 08 |