COMPUTATIONAL FINANCE
FIN3CLF
2018
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 you with theories and modellingskills required for financial decision making in business and management and also enable you to master 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
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. Master key financial theories in the area of financial management and portfolio investment
- Activities:
- Lecture, computer lab class, 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
- Activities:
- financial project, mid-term examination, final examination
- 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. Demonstrate modelling skills required for financial decision making in business and management
- Activities:
- Computer lab class, financial project
- 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. Able to translate practical finance problems into a formal language and solve them accordingly.
- Activities:
- Computer lab class, financial project, mid-term examination, final exmination
- Related graduate capabilities and elements:
- 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)
- Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
- Literacies and Communication Skills (Quantitative Literacy)
05. Develop computational techniques that facilitate financial evaluation and investment tasks.
- Activities:
- Computer lab class, financial project, final examination
- 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)
Subject options
Select to view your study options…
Melbourne, 2018, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAngela Lou
Class requirements
Computer Laboratory
Week:
32
-
43
Eight 1.0 hours computer laboratory other recurrence
on weekdays
during the day
from week 32 to week 43
and delivered via face-to-face.
Lecture
Week:
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* |
|---|---|---|---|
| 3-hour final examination | 70 | 01, 02, 04, 05 | |
| 60 minute mid-term examination | 20 | 01, 02, 03, 04 | |
| Financial project (1000-words) | 10 | 01, 02, 03, 04, 05 |