Portfolio Risk-Adjusted Performance Ratios
quantlib-portfolio
Portfolio Risk-Adjusted Performance Ratios
Calculates key risk-adjusted performance ratios including Sharpe ratio, Sortino ratio, maximum drawdown, information ratio, and tracking error.
Use Cases:
- Performance evaluation and benchmarking
- Manager selection and comparison
- Risk-adjusted return assessment
- Client reporting and communication
Ratios Calculated:
- Sharpe Ratio: Excess return per unit of total risk
- Sortino Ratio: Excess return per unit of downside risk
- Max Drawdown: Largest peak-to-trough decline
- Information Ratio: Active return per unit of tracking error (requires benchmark)
- Tracking Error: Volatility of active returns (requires benchmark)
Credits: 5 per request [Tier: PRO, Credits: 5]
POST
Portfolio Risk-Adjusted Performance Ratios
Authorizations
API key for authentication. Get your key at https://api.fincept.in/auth/register
Body
application/json
Portfolio return time series (periodic returns, not cumulative)
Example:
[
0.015,
-0.008,
0.023,
0.012,
-0.005,
0.018,
0.009,
-0.012,
0.021,
0.007
]Risk-free rate (per period, matching returns frequency)
Example:
0.0012
Benchmark return time series. Required for information ratio and tracking error.
Example:
[
0.012,
-0.006,
0.019,
0.01,
-0.004,
0.015,
0.008,
-0.01,
0.018,
0.006
]Target return for Sortino ratio calculation (per period)
Example:
0
