Know Your Funds

33.1 – Trailing Returns

Trailing returns are like snapshots of how a fund has performed over specific timeframes—1, 3, 5, and 7 years. Think of it as looking at your child’s report card at different stages: one year shows short-term progress, three years smooths out temporary ups and downs, five years often covers a full cycle of boom and bust, and seven years reveals whether the fund can truly stand the test of time.

For example, if a fund beats its benchmark consistently over five years, it shows resilience across market cycles. But if it only shines in one year, it may just be luck. Always compare against the Total Return Index (TRI), which includes dividends, for a fairer picture.

Trailing returns are calculated using point-to-point CAGR (Compounded Annual Growth Rate) over fixed periods.

• Formula: CAGR =(Ending NAV/Beginning NAV)^1/n  -1
• Example: If NAV grew from ₹100 to ₹180 in 5 years, CAGR = (180/100)^(1/5) − 1 ≈ 12.47%.
• Investor Insight: Trailing returns are easy to understand but can be misleading if the chosen period coincides with unusual market conditions (e.g., post-COVID rebound).

33.2 – Rolling Returns

Trailing returns give one snapshot; rolling returns give the movie. Instead of checking one 3year period, rolling returns calculate performance for every possible 3year (or 5year) window in the fund’s history.

Imagine you invested in 2010, 2012, or 2015—rolling returns show how the fund would have performed in each case. A fund that beats its benchmark in 90% of rolling periods is far more reliable than one that only edges past half the time.

This measure highlights consistency, which is often more important than one off outperformance.

Rolling returns smooth out biases by calculating CAGR across overlapping windows.

• Example: For a 3-year rolling return, you calculate CAGR for Jan 2010–Jan 2013, Feb 2010–Feb 2013, and so on.
• Data Point: A fund beating its benchmark in 85–90% of rolling periods is considered highly consistent.
• Investor Insight: Rolling returns reveal whether performance is repeatable or just a one off lucky streak.

33.3 – Calendar Year Rankings

Absolute returns can mislead. If the whole market rises 25%, even a mediocre fund looks good. Calendar year rankings compare a fund against peers in the same category.

For example, if a fund ranks in the top 25% year after year, it signals strong management. But if it swings wildly—top one year, bottom the next—it suggests concentrated bets or inconsistent strategy. Consistent bottom quartile rankings are a red flag.

This metric helps you see whether your fund is genuinely competitive among its peers.

Quick Reference: Calendar Year Rankings

Calendar year rankings compare funds within their peer group.

• Quartile System: Top 25% = 1st quartile, bottom 25% = 4th quartile.
• Example: A mid-cap fund ranked in the top quartile for 7 out of 10 years shows strong management skill.
• Investor Insight: Rankings highlight relative competitiveness, not just absolute numbers.

33.4 – Risk-Adjusted Ratios

Returns alone don’t tell the full story. Risk-adjusted ratios measure whether the returns are worth the volatility.

• Standard Deviation– Lower means smoother performance.
• Sharpe Ratio– Higher means better returns per unit of risk.
• Sortino Ratio– Focuses only on downside risk, ignoring upside surprises.
• Information Ratio– Shows consistency of beating the benchmark.
• Upside Capture– How much of the market’s gains the fund captures.
• Downside Capture– How much of the market’s losses the fund suffers.

For example, a fund with high upside capture and low downside capture is ideal—it grows faster in rallies and falls less in crashes.

Quick Reference: Risk-Adjusted Ratios

Risk-adjusted ratios balance return with volatility.

• Standard Deviation: Measures volatility. Lower = smoother ride.
• Sharpe Ratio: . Higher = better risk adjusted performance.
• Sortino Ratio: Focuses only on downside volatility.
• Information Ratio: Measures excess return consistency vs benchmark.
• Capture Ratios: Upside >100% means fund outperforms in rallies; downside <100% means fund loses less in crashes.
• Investor Insight: A fund with Sharpe >1 and downside capture <80% is considered strong.

33.5 – Max Drawdown

Max drawdown tells you the worst fall a fund has experienced from peak to trough. Imagine a fund’s NAV rising to ₹200, then dropping to ₹150 before recovering—that’s a 25% drawdown.

Why does this matter? Because investors often panic during steep falls. A fund with lower drawdowns compared to peers shows better risk management. For example, during the COVID crash, some funds fell 35% while others limited losses to 20%. Knowing this helps you judge whether you could have held on emotionally.

Quick Reference: Max Drawdown

Max drawdown shows the worst peak to trough fall.

• Formula: .Drawdown = Trough NAV-Peak NAV/Peak NAV
• Example: NAV ₹200 → ₹150 = −25% drawdown.
• Investor Insight: Lower drawdowns indicate better risk control. Helps investors judge emotional resilience during crashes.

33.6 – Expense Ratio

Expense ratio is the silent cost deducted daily from your fund’s NAV. Even a 1% difference compounds massively over decades.

For instance, on ₹10 lakh invested for 20 years at 12% gross returns, a 1% higher expense ratio could cost you about ₹13 lakh in lost wealth. That’s money you never see leaving, but it erodes your future.

Always compare expense ratios within the category. Paying high fees for nearindex performance is a structural disadvantage.

Quick Reference: Expense Ratio

Expense ratio is deducted daily from NAV.

• Formula: .
• Example: On ₹10 lakh at 12% gross CAGR for 20 years:

• At 1% expense ratio → about ₹80.6 lakh final value.
• At 2% expense ratio → about ₹67.3 lakh final value.

Investor Insight: Even small differences compound massively. Always compare within category.

33.7 – Active Share

Active share measures how different a fund’s portfolio is from its benchmark. A score above about 70–80% means the manager is genuinely making active decisions. A score below about 60% suggests the fund is hugging the index—you’re paying active fees for passive performance.

For example, if a large-cap fund looks almost identical to the Nifty 50, why not just buy a cheaper index fund? On the other hand, a high active share fund may outperform—or underperform—depending on the manager’s skill. It’s not a guarantee, but it tells you whether you’re paying for genuine active management.

Active share measures deviation from benchmark holdings.

• Formula: =1/2 ∑ | W_fund  -W_benchmark |
• Example: Active share of 80% = highly active; 20% = index-hugging.
• Investor Insight: High active share funds may deliver alpha but also carry higher manager risk.

Key Takeaways

• Trailing returns show snapshots; rolling returns show consistency.
• Calendar rankings reveal competitiveness among peers.
• Risk ratios highlight whether returns justify volatility.
• Max drawdown shows worst case pain.
• Expense ratiois a guaranteed cost—keep it low.
• Active share tells you if you’re paying for real active management.