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Quantitative methods for risk analysis

ETF5952

Synopsis

This unit equips you with a comprehensive understanding and the practical skills necessary to identify, analyse, and manage financial risks. The unit builds on foundational statistical knowledge and introduces key financial concepts essential for risk management. Additionally, you will engage in hands-on exercises and projects to perform risk analysis and modelling using the R programming language, preparing them for professional roles in finance and risk management. No prior knowledge of R or programming is required.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
5
Audience
Postgraduate
Type
Coursework
School
Faculty of Business and Economics
Faculty
Department of Econometrics and Business Statistics
Handbook year
2026

Prerequisites

No prereqs in the handbook graph.

What it unlocks (1)

Offerings (1)

  • First semesterCaulfield · ON-CAMPUS

Listed in 2 areas of study

  • Data analytics for businessAdvanced units
  • Financial analyticsAdditional Financial analytics unit