Investment Risk Management Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This concise, hands-on guided project provides a practical introduction to key investment risk metrics, designed for intermediate learners and finance professionals. Over approximately 1 hour, you'll gain applied skills in calculating and interpreting the Treynor Ratio and Value at Risk (VaR) using a browser-based platform. No prior software installation is required. With clear, step-by-step guidance from an experienced instructor, you'll work through real-world scenarios to assess investment performance and estimate potential portfolio losses, equipping you with actionable insights for smarter risk management decisions.

Module 1: Investment Risk Management

Estimated time: 1 hour

  • Compute Monthly Returns and Standard Deviation
  • Calculate Beta for portfolio market risk exposure
  • Derive the Treynor Ratio to evaluate risk-adjusted returns
  • Compute Value at Risk (VaR) under normal market conditions
  • Graph results and draw practical conclusions

Module 2: Final Project

Estimated time: 0.5 hours

  • Apply Treynor Ratio to a sample investment portfolio
  • Calculate VaR for a given confidence level and time horizon
  • Interpret results to make informed risk management recommendations

Prerequisites

  • Familiarity with basic financial concepts such as returns, volatility, and portfolio
  • Understanding of market risk and investment performance metrics
  • Intermediate knowledge of finance or related work experience

What You'll Be Able to Do After

  • Quantify risk-to-reward trade-offs using the Treynor Ratio
  • Estimate potential portfolio losses using Value at Risk (VaR)
  • Interpret key risk metrics for real-world investment decisions
  • Perform risk analysis in a browser-based, no-install environment
  • Enhance professional competence in risk assessment for finance roles
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.