The Information ratio is a risk-adjusted performance metric that measures how consistently a fund manager generates excess returns compared to a benchmark. According to reports from Mint, this ratio shows a fund manager's ability to generate returns above a benchmark index relative to the level of active risk taken. In simple terms, it evaluates whether the excess return earned by a mutual fund justifies the volatility associated with deviating from the benchmark. The Information ratio is particularly valuable when analyzing funds within the same category, as a higher Information ratio reflects better risk-adjusted performance and more effective active management. As noted by recent reports, consistency, measured through the information ratio, is one of the most important qualities to look for in a fund manager.
As reported by Mint, the Information ratio differs significantly from other performance metrics in its approach to risk assessment. Unlike the Sharpe ratio, which compares returns against total portfolio risk, the Information ratio focuses specifically on the risk arising from the fund manager's investment decisions. Alpha measures the absolute return by which a fund has outperformed its benchmark, whereas Information ratio measures the excess return generated relative to the active risk taken. The Information ratio addresses Alpha's limitation by incorporating tracking error into its formula, thereby evaluating how efficiently and consistently excess returns have been achieved. According to recent analysis, Jensen's alpha measures the excess return of a portfolio over the return predicted by the Capital Asset Pricing Model (CAPM), with positive alpha indicating the fund manager has outperformed expectations given the portfolio's systematic risk level.
According to Mint, the Information ratio is calculated using the following formula: Information Ratio = (Portfolio Return – Benchmark Return) ÷ Tracking Error. The formula uses annualized returns for both the fund and benchmark, along with the standard deviation of excess returns as the tracking error. For example, if Fund A generated an annualized return of 13% while its benchmark delivered 11%, with a tracking error of 1%, the Information ratio would be 2. This indicates that the fund generated 2% of excess return for every 1% of active risk taken, demonstrating more efficient outperformance than Fund B, which despite higher absolute returns of 14%, had a lower Information ratio of 1 due to higher tracking error. As reported by recent sources, the Treynor ratio is similar in concept but uses beta, a measure of systematic risk, instead of standard deviation in the denominator, making it particularly relevant for investors holding multiple portfolios across asset classes. As per SEBI's methodology circular, daily portfolio return shall be calculated using arithmetic function, and the standard deviation will be calculated based on these daily return values. IR would be calculated for 1-year, 3-year, 5-year, and 10-year horizon using this methodology.
As reported by Mint, the Information ratio provides valuable insights across various market scenarios. In cases where both fund and benchmark deliver negative returns, the ratio can still provide meaningful analysis - for instance, a fund generating a -10% return while the benchmark declined -4% with a tracking error of 12% would result in an -0.5 Information ratio, suggesting the manager's active decisions did not add value. Conversely, a fund delivering a -4% return while the benchmark declined -8% with a tracking error of 5% would achieve a 0.8 Information ratio, indicating effective loss limitation despite negative absolute returns. These scenarios demonstrate the metric's ability to evaluate performance consistency regardless of market direction. **Consider that you need to invest in 1 of 3 portfolios – a steady growth fund A, a volatile investment B, and a fund underperforming the benchmark C. We'll assume that the benchmark index has given an average return of 14%. Here's how Information Ratio can help make an investment decision - Portfolio's Return (1) | 17% | 20% | 12% | Benchmark Return (2) | 14% | 14% | 14% | Tracking Error (3) | 4% | 10% | 3%. Hence even though portfolio B has delivered better absolute returns compared to portfolio A, for a risk averse investor, portfolio A would be preferable. The example also illustrates that the IR may be negative, in the scenario that the Scheme has underperformed its benchmark. Where Excess Returns = Portfolio rate of returns - Benchmark rate and Tracking Error = Standard Deviation of Excess Returns.
According to Mint, the Information ratio offers several advantages including evaluating consistency rather than just absolute returns, enabling comparison of funds within the same category across different market conditions, and providing a balanced view of performance that considers the risk taken to achieve excess returns. However, the metric has limitations including potential distortion from inappropriate benchmark selection, instability from limited historical data, and focus on tracking error that may overlook significant losses from rare market events. The ratio requires careful interpretation and should be used alongside other performance metrics when evaluating fund managers' effectiveness. As noted by recent reports, the first and most critical step is selecting the right benchmark, with multi-cap PMS strategies compared against multi-cap indices like Nifty 500 rather than Nifty 50, and manufacturing-focused portfolios benchmarked against sectoral indices reflecting their investment universe. For PMS investors, evaluation can highlight whether the portfolio's turnover ratio is creating unnecessary short-term capital gains tax liabilities, especially under the current tax structure where short-term gains attract 20% tax while long-term gains are taxed at 12.5% above ₹1.25 lakh threshold.
