FT Cboe Information Ratio
| DAUG ETF | | | USD 46.16 0.09 0.20% |
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 FT Cboe's current Information Ratio with peer comparisons and related risk metrics.
Current Information Ratio Value
FT Cboe has a Information Ratio of 0.0872, indicating positive but modest excess return per unit of tracking risk. FT Cboe has outperformed its benchmark, though the margin is limited relative to the tracking error incurred.
INFOR | = | ER[a] - ER[b]STD[a] |
| = | 0.0872 | |
Information Ratio Peers Comparison
FT Cboe falls below the 0.1 peer average for Information Ratio. First Trust Exchange Traded leads at 0.2381 while First Trust Exchange Traded registers the lowest at 0.0766. FT Cboe'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 FT Cboe 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.
FT Cboe records a Information Ratio of
0.09 and a Maximum Drawdown of
2.05 , yielding roughly
23.54 units of Maximum Drawdown per Information Ratio. This indicates Maximum Drawdown substantially exceeds Information Ratio for FT Cboe.
Compare FT Cboe to PeersMethodology, Assumptions & Data Sources
FT Cboe has a current Information Ratio reading of 0.0872. The Information Ratio for FT Cboe is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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