Fidelity Disruptors Information Ratio
| FDIF ETF | | | 37.32 0.17 0.46% |
The Information Ratio measures excess return (alpha) per unit of tracking error relative to a benchmark. Unlike the Sharpe Ratio, which uses total volatility, the Information Ratio isolates only the variability of the alpha component — the return attributable to active decisions rather than passive market exposure. Below is Fidelity Disruptors's current Information Ratio with peer comparisons and related risk metrics.
Current Information Ratio Value
Fidelity Disruptors registers a Information Ratio of 0.0077, reflecting positive but modest excess return per unit of tracking risk. Fidelity Disruptors has outperformed its benchmark, though the margin is limited relative to the tracking error incurred.
INFOR | = | ER[a] - ER[b]STD[a] |
| = | 0.0077 | |
Information Ratio Peers Comparison
Fidelity Disruptors's Information Ratio of 0.0077 falls below the 0.04 peer average. Values range from -0.034 (AIM ETF Products) to 0.3086 (Return Stacked Bonds), with wide dispersion across the group. Fidelity Disruptors's risk-adjusted return trails the peer average, indicating less efficient compensation for the risk incurred.
Information Ratio Relative To Other Indicators
The chart below plots Information Ratio against Maximum Drawdown for Fidelity Disruptors and its peers. Each point represents one equity — position along the horizontal axis shows Information Ratio while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Fidelity Disruptors records a Information Ratio of
0.01 and a Maximum Drawdown of
6.12 , yielding roughly
795.34 units of Maximum Drawdown per Information Ratio. This indicates Maximum Drawdown substantially exceeds Information Ratio for Fidelity Disruptors.
Methodology, Assumptions & Data Sources
Fidelity Disruptors' Information Ratio currently stands at 0.0077. Fidelity Disruptors' Information Ratio is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. The calculation assumes continuous price data across the selected period. All readings are presented as reference data.
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