Financial Risk Metrics Practice Questions — Flashcards

Financial risk metrics are quantitative, mathematical tools used to measure, monitor, and manage the potential losses, volatility, and uncertainty associated with investments, portfolios, or business operations. They enable investors and institutions to quantify exposure to market, credit, or liquidity risks, helping to balance risk-reward and guide strategic decisions. 

Key Components and Metrics
Value at Risk (VaR): Estimates the maximum expected loss over a given time frame at a specific confidence level.
Conditional Value at Risk (CVaR): Measures the expected loss exceeding the VaR threshold, focusing on tail risk.
Volatility/Standard Deviation: Measures the fluctuation or riskiness of an asset's returns.
Sharpe Ratio: Evaluates risk-adjusted returns by calculating excess return per unit of risk.
Beta: Measures an asset's sensitivity to market movements. 

Methodologies for Calculation
Historical Simulation: Uses past data to predict future risk.
Variance-Covariance Method: Assumes normal distribution of returns.
Monte Carlo Simulation: Uses computational algorithms to simulate thousands of potential outcomes. 

Types of Risks Measured
Market Risk: Potential losses from market variable changes (e.g., interest rates, stock prices).
Credit Risk: Risk of loss due to borrower default.
Liquidity Risk: Inability to sell assets quickly without significant loss.
Operational Risk: Risk from internal failures, people, or systems. 

These metrics are essential for regulatory compliance, capital adequacy, and informed decision-making.