COMPUTATIONAL FINANCE

FIN3CLF

Not currently offered

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 modelling skills 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.

School: La Trobe Business School (Pre 2022)

Credit points: 15

Subject Co-ordinator: Angela Lou

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 3 - UG

Available as Elective: No

Learning Activities: Role plays and student presentations to develop interview and presentation techniques

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: FIN1FOF OR FIN2FIN

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Financial modelling

Resource Type: Book

Resource Requirement: Prescribed

Author: Benninga, S.

Year: 2014

Edition/Volume: 4th ed

Publisher: MIT PRESS

ISBN: 978-0262027281

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry
PERSONAL AND PROFESSIONAL - Adaptability and Self-Management
PERSONAL AND PROFESSIONAL - Leadership and Teamwork

Intended Learning Outcomes

01. Master key financial theories in the area of financial management and portfolio investment
02. Ability to explain the main mathematical constituents of financial statements
03. Demonstrate modelling skills required for financial decision making in business and management
04. Able to translate practical finance problems into a formal language and solve them accordingly.
05. Develop computational techniques that facilitate financial evaluation and investment tasks.
Subject not currently offered - Subject options not available.