QUANTITATIVE RISK ANALYSIS

FIN3QRA

Not currently offered

Credit points: 15

Subject outline

This subject covers the issues related to time series modelling of financial data. The main topics include modelling financial returns and assessing their predictability; estimation of long run relationships in finance; and estimation of financial volatility and its application to risk management. A range of econometric methods are employed, including the regression analysis, ARMA models, unit root tests, cointegration analysis, and GARCH-type models. There will be a strong focus on applications using econometrics package EViews.

School: La Trobe Business School (Pre 2022)

Credit points: 15

Subject Co-ordinator: Jae Kim

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 3 - UG

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: ECO2BFC OR ECO2EME OR ECO2ISB OR ECM2IE

Co-requisites: N/A

Incompatible subjects: ECO3ITE OR ECO2ITE OR FIN2EFM

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

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

Intended Learning Outcomes

01. Develop and implement various techniques to assess, measure and manage risk for individuals and organizations.
Subject not currently offered - Subject options not available.