| Risk Ratio | Description | When to Use | Example | Formula |
|---|---|---|---|---|
| Beta | Measures the sensitivity of a stock’s returns to overall market returns, indicating market risk. | Assess the stock’s volatility relative to the market. | A beta of 1 means the stock’s returns move in line with the market. | Beta = Covariance(Stock Returns, Market Returns) / Variance(Market Returns) |
| Standard Deviation | Represents the measure of the dispersion of returns, indicating the stock’s historical volatility. | Assess the historical risk and volatility of a stock. | A standard deviation of 15% suggests annual returns typically vary within ±15%. | Standard Deviation = √Variance(Stock Returns) |
| Sharpe Ratio | Measures the risk-adjusted return of an investment, considering both return and volatility. | Evaluate the excess return per unit of risk taken. | A Sharpe ratio of 0.8 suggests a 0.8% excess return per unit of risk. | Sharpe Ratio = (Average Portfolio Return – Risk-Free Rate) / Standard Deviation of Portfolio Returns |
| Sortino Ratio | Similar to the Sharpe ratio, but only considers downside risk, providing a better risk assessment. | Assess the downside risk-adjusted return of an investment. | A Sortino ratio of 1.2 suggests a 1.2% excess return per unit of downside risk. | Sortino Ratio = (Average Portfolio Return – Risk-Free Rate) / Downside Deviation of Portfolio Returns |
| Treynor Ratio | Measures the risk-adjusted return of an investment, considering systematic risk (beta). | Evaluate the return per unit of systematic risk. | A Treynor ratio of 0.1 suggests a 10% return per unit of systematic risk. | Treynor Ratio = (Average Portfolio Return – Risk-Free Rate) / Beta |
| Maximum Drawdown | Represents the largest peak-to-trough decline in portfolio value, indicating potential loss. | Assess the historical downside risk and loss potential. | A maximum drawdown of 20% means the portfolio experienced a 20% loss from its peak. | Maximum Drawdown = Peak Value – Trough Value |
| Value at Risk (VaR) | Estimates the maximum potential loss at a given confidence level, indicating downside risk. | Assess the potential loss at a specified confidence level. | A VaR of $10,000 at a 95% confidence level suggests a 5% chance of a $10,000 loss. | VaR = Portfolio Value * Z-Score * Portfolio Standard Deviation |
| Conditional Value at Risk (CVaR) | Similar to VaR but calculates the average loss beyond VaR, providing a more severe risk assessment. | Evaluate the average loss magnitude beyond VaR. | A CVaR of $12,000 at a 95% confidence level suggests an average loss beyond VaR of $12,000. | CVaR = (1 / (1 – Confidence Level)) * ∫(VaR to ∞) Loss Distribution * Probability Density Function |
| Alpha | Measures the excess return of a portfolio relative to its expected return given its risk (beta). | Assess the ability to generate returns above market expectations. | An alpha of 2% indicates a portfolio outperformed market expectations by 2%. | Alpha = Portfolio Return – [Risk-Free Rate + Beta * (Market Return – Risk-Free Rate)] |
| R-Squared | Indicates the proportion of a stock’s variability explained by its benchmark index, measuring risk. | Assess how closely a stock’s returns track its benchmark. | An R-squared of 0.8 suggests 80% of the stock’s returns are explained by its benchmark. | R-Squared = (Covariance(Stock Returns, Benchmark Returns) / Variance(Stock Returns)) |
| Information Ratio | Measures the risk-adjusted return of a portfolio relative to its benchmark, considering tracking error. | Evaluate the ability to generate excess return while tracking the benchmark. | An information ratio of 0.6 suggests 0.6% excess return per unit of tracking error. | Information Ratio = (Portfolio Return – Benchmark Return) / Tracking Error (Standard Deviation of Portfolio Returns – Standard Deviation of Benchmark Returns) |
| Downside Deviation | Represents the measure of the dispersion of negative returns, focusing on downside risk. | Assess the downside risk and volatility of a stock. | A downside deviation of 10% suggests annual negative returns typically vary within ±10%. | Downside Deviation = √Downside Variance(Stock Returns) |
| Ulcer Index | Measures the depth and duration of portfolio drawdowns, indicating the pain experienced by investors. | Assess the emotional impact of portfolio losses. | An ulcer index of 5 suggests relatively mild and short-lived drawdowns. | Ulcer Index = √[(1 / n) * Σ(Drawdowns²)] |
| Tracking Error | Indicates the standard deviation of the difference between a portfolio’s returns and its benchmark returns. | Assess how closely a portfolio tracks its benchmark. | A tracking error of 2% suggests the portfolio’s returns typically deviate ±2% from the benchmark. | Tracking Error = Standard Deviation of Portfolio Returns – Standard Deviation of Benchmark Returns |
| Beta Slippage | Measures the difference between a stock’s actual beta and its expected beta, indicating tracking error. | Evaluate the tracking error related to a stock’s beta. | A beta slippage of 0.1 suggests a tracking error of 10% related to beta. | Beta Slippage = Actual Beta – Expected Beta |
| Conditional Drawdown at Risk (CDaR) | Similar to CVaR, it calculates the average drawdown beyond a specified threshold, providing a more severe risk assessment. | Evaluate the average drawdown magnitude beyond a threshold. | A CDaR of 15% at a 90% confidence level suggests an average drawdown beyond the threshold of 15%. | CDaR = (1 / (1 – Confidence Level)) * ∫(Threshold to ∞) Drawdown Distribution * Probability Density Function |
| Systematic Risk | Measures the portion of total risk that is attributable to market risk factors, such as beta. | Assess the risk related to overall market factors. | A systematic risk of 0.7 means 70% of total risk is due to market factors. | Systematic Risk = Portfolio Standard Deviation * Beta |
| Unsystematic Risk | Represents the portion of total risk that is not explained by market risk factors, indicating unique or company-specific risk. | Assess the unique risk unrelated to market factors. | An unsystematic risk of 0.3 means 30% of total risk is unique to the stock. | Unsystematic Risk = Portfolio Standard Deviation * √(1 – Beta²) |
| Correlation Coefficient | Measures the degree to which two assets move in relation to each other, indicating the risk of a portfolio. | Assess the relationship and risk associated with asset pairs. | A correlation coefficient of -0.4 suggests a moderate negative correlation. | Correlation Coefficient = Covariance(Asset 1 Returns, Asset 2 Returns) / (Standard Deviation of Asset 1 Returns * Standard Deviation of Asset 2 Returns) |
Connected Financial Concepts























Frequently Asked Questions
What are the key components of Risk Ratios?
The key components of Risk Ratios include Beta, Standard Deviation, Sharpe Ratio, Sortino Ratio, Treynor Ratio. Beta: Measures the sensitivity of a stock’s returns to overall market returns, indicating market risk. Standard Deviation: Represents the measure of the dispersion of returns, indicating the stock’s historical volatility.









