Mistake 1: Trusting CAGR Without Checking Rolling Returns<\/strong><\/h2>\n\n\n\nCAGR (Compound Annual Growth Rate<\/strong>) is the number every fund factsheet, every investing app, and every advisor pitch leads with. It tells you the annualised return between two fixed points in time: the day you (hypothetically) invested, and the day you checked.<\/p>\n\n\n\nWhat CAGR does not tell you is how the fund got there<\/strong>. Two funds can show an identical 15% CAGR over five years through completely different journeys. One might have delivered a steady 13-17% every single year. The other might have had one extraordinary year that single-handedly pulled up an otherwise mediocre average \u2014 three weak years, one outstanding year, and a final number that looks just as good as the consistent fund.<\/p>\n\n\n\nThis is exactly the blind spot rolling returns<\/strong> are built to expose. Instead of measuring performance between two fixed dates, rolling returns measure the fund’s return for every possible start date within a period \u2014 say, every 3-year stretch starting each day over the last ten years. The result is not one number but a distribution of outcomes, which tells you how the fund performed regardless of when an investor entered<\/strong>.<\/p>\n\n\n\nThis matters enormously for anyone investing via SIP, because your entry point is never the single clean start date used in a CAGR calculation. You are entering monthly (or weekly or daily), across market cycles, so what you actually care about is how the fund has performed across many different starting points<\/strong>, not just one.<\/p>\n\n\n\nThe metric that converts this into something usable is the rolling return beat percentage versus category average<\/strong> \u2014 what percentage of all rolling periods did the fund beat its category peers. A fund that beats its category 80% of the time across rolling 3-year windows is demonstrating consistency<\/strong>. A fund that beats its category only 40% of the time, despite a headline CAGR that looks similar, is telling you its strong long-term numbers may be carried by a few exceptional phases rather than steady skill.<\/p>\n\n\n\nEquity research data on multicap and flexicap categories illustrates this well. Some funds in this space have shown 3-year and 5-year compounded annualised rolling returns meaningfully ahead of their category average and benchmark, a sign of genuine consistency, not a lucky stretch. Other funds with similar or even higher point-to-point CAGR show a much lower rolling-return beat rate against the same category, meaning their average masks long stretches of underperformance. Check the 3-year rolling return analysis of Parag Parikh Flexicap Fund<\/a> in the image below.<\/p>\n\n\n\n![\"\"](\"https:\/\/sharpely.in\/blogs\/wp-content\/uploads\/2026\/06\/ppfas-scaled.png\" "\\"ppfas\\"")
\n\n\n\nThe lesson is not that CAGR is useless; it is a fine starting filter. The lesson is that CAGR alone cannot tell you whether a fund’s performance is repeatable<\/strong> or was a one-time event. Rolling returns can.<\/p>\n\n\n\nMistake 2: Assuming More Funds Means More Diversification<\/strong><\/h2>\n\n\n\nThe second mistake is the more common one. Many investors hold four, five, or even six mutual funds under the belief that more funds automatically means more diversification. In practice, this is often false, and it is called portfolio overlap<\/strong>.<\/p>\n\n\n\nPortfolio overlap is simply the percentage of common stock holdings between two or more funds. If your large-cap fund and your flexi-cap fund both hold significant positions in the same five or six companies, you are not as diversified as the number of funds in your portfolio suggests.<\/p>\n\n\n\n
A well-documented and easy-to-verify example: a Nifty 50 index fund<\/strong> and an actively managed large-cap fund<\/strong> draw from almost the exact same universe of stocks: the top 50 to 100 companies by market capitalisation in India. Industry data consistently shows the overlap between a Nifty 50 index fund and an active large-cap fund running at 60% or higher<\/strong>. If you hold both, you are effectively paying two separate expense ratios for what is, in large part, one underlying portfolio.<\/p>\n\n\n\n![\"\"](\"https:\/\/sharpely.in\/blogs\/wp-content\/uploads\/2026\/06\/overlap.png\" "\\"overlap\\"")
\n\n\n\nThe same pattern shows up across category combinations that millions of Indian investors hold simultaneously \u2014 a large-cap fund, a flexi-cap fund, and a multi-cap fund. All three typically draw from a similar pool of large, well-known companies: names like HDFC Bank, Reliance Industries, ICICI Bank, Infosys,<\/strong> and TCS<\/strong> tend to appear as top holdings across all three fund types, simply because they are large enough to qualify for every category’s mandate.<\/p>\n\n\n\nThe result, as multiple mutual fund research platforms have documented, is that investors holding what feels like three different funds can end up with 40-60% of their combined equity exposure concentrated in the same four or five stocks<\/strong>. You believe you have spread your risk across three strategies. In reality, you have one concentrated bet wearing three different fund names.<\/p>\n\n\n\nA simple rule of thumb used across the mutual fund research industry:<\/strong><\/p>\n\n\n\n
What CAGR does not tell you is how the fund got there<\/strong>. Two funds can show an identical 15% CAGR over five years through completely different journeys. One might have delivered a steady 13-17% every single year. The other might have had one extraordinary year that single-handedly pulled up an otherwise mediocre average \u2014 three weak years, one outstanding year, and a final number that looks just as good as the consistent fund.<\/p>\n\n\n\n This is exactly the blind spot rolling returns<\/strong> are built to expose. Instead of measuring performance between two fixed dates, rolling returns measure the fund’s return for every possible start date within a period \u2014 say, every 3-year stretch starting each day over the last ten years. The result is not one number but a distribution of outcomes, which tells you how the fund performed regardless of when an investor entered<\/strong>.<\/p>\n\n\n\n This matters enormously for anyone investing via SIP, because your entry point is never the single clean start date used in a CAGR calculation. You are entering monthly (or weekly or daily), across market cycles, so what you actually care about is how the fund has performed across many different starting points<\/strong>, not just one.<\/p>\n\n\n\n The metric that converts this into something usable is the rolling return beat percentage versus category average<\/strong> \u2014 what percentage of all rolling periods did the fund beat its category peers. A fund that beats its category 80% of the time across rolling 3-year windows is demonstrating consistency<\/strong>. A fund that beats its category only 40% of the time, despite a headline CAGR that looks similar, is telling you its strong long-term numbers may be carried by a few exceptional phases rather than steady skill.<\/p>\n\n\n\n Equity research data on multicap and flexicap categories illustrates this well. Some funds in this space have shown 3-year and 5-year compounded annualised rolling returns meaningfully ahead of their category average and benchmark, a sign of genuine consistency, not a lucky stretch. Other funds with similar or even higher point-to-point CAGR show a much lower rolling-return beat rate against the same category, meaning their average masks long stretches of underperformance. Check the 3-year rolling return analysis of Parag Parikh Flexicap Fund<\/a> in the image below.<\/p>\n\n\n\n The lesson is not that CAGR is useless; it is a fine starting filter. The lesson is that CAGR alone cannot tell you whether a fund’s performance is repeatable<\/strong> or was a one-time event. Rolling returns can.<\/p>\n\n\n\n The second mistake is the more common one. Many investors hold four, five, or even six mutual funds under the belief that more funds automatically means more diversification. In practice, this is often false, and it is called portfolio overlap<\/strong>.<\/p>\n\n\n\n Portfolio overlap is simply the percentage of common stock holdings between two or more funds. If your large-cap fund and your flexi-cap fund both hold significant positions in the same five or six companies, you are not as diversified as the number of funds in your portfolio suggests.<\/p>\n\n\n\n A well-documented and easy-to-verify example: a Nifty 50 index fund<\/strong> and an actively managed large-cap fund<\/strong> draw from almost the exact same universe of stocks: the top 50 to 100 companies by market capitalisation in India. Industry data consistently shows the overlap between a Nifty 50 index fund and an active large-cap fund running at 60% or higher<\/strong>. If you hold both, you are effectively paying two separate expense ratios for what is, in large part, one underlying portfolio.<\/p>\n\n\n\n The same pattern shows up across category combinations that millions of Indian investors hold simultaneously \u2014 a large-cap fund, a flexi-cap fund, and a multi-cap fund. All three typically draw from a similar pool of large, well-known companies: names like HDFC Bank, Reliance Industries, ICICI Bank, Infosys,<\/strong> and TCS<\/strong> tend to appear as top holdings across all three fund types, simply because they are large enough to qualify for every category’s mandate.<\/p>\n\n\n\n The result, as multiple mutual fund research platforms have documented, is that investors holding what feels like three different funds can end up with 40-60% of their combined equity exposure concentrated in the same four or five stocks<\/strong>. You believe you have spread your risk across three strategies. In reality, you have one concentrated bet wearing three different fund names.<\/p>\n\n\n\n A simple rule of thumb used across the mutual fund research industry:<\/strong><\/p>\n\n\n\n\n\n\n\nMistake 2: Assuming More Funds Means More Diversification<\/strong><\/h2>\n\n\n\n
\n\n\n\n
![\"\"](\"https:\/\/sharpely.in\/blogs\/wp-content\/uploads\/2026\/06\/pf_beat-scaled.png\" "\\"pf_beat\\"")
\n\n\n\n![\"\"](\"https:\/\/sharpely.in\/blogs\/wp-content\/uploads\/2026\/06\/pf_overlap-scaled.png\" "\\"pf_overlap\\"")
\n\n\n\n