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.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorAngela Lou

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 3 - UG

Available as ElectiveNo

Learning ActivitiesRole plays and student presentations to develop interview and presentation techniques

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesFIN1FOF OR FIN2FIN

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Financial modelling

Resource TypePrescribed

Resource RequirementN/A

AuthorBenninga, S.

Year2014

Edition/Volume4th ed

PublisherMIT PRESS

ISBN978-0262027281

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/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 options

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Subject not currently offered - Subject options not available.