Active large cap funds can outperform their benchmarks through strategic portfolio construction, including mid-cap exposure (10-12%), sector concentration (e.g., 25% in financials), and concentrated holdings (top 10 holdings comprising 49%), but this outperformance comes at a cost (higher expense ratios) and carries risks of drawdowns during market corrections, making the decision to invest dependent on investor conviction in the fund manager's continued ability to generate alpha.
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Deep Dive
Ye Mutual Fund Pakka Sahi hai - Makes 15% Returns Every yearAdded:
There is a quiet contradiction sitting inside the large cap space. Most investors don't even notice it because on one side you have this category where beating the index is supposed to be the hardest game in the market since information is widely available and companies are tracked by thousands of analysts and every [music] price already reflects almost everything that is known. Yet, on the other side you have a fund like Nippon India Large Cap Fund that has consistently shown up with higher returns than its benchmark over longer periods of 5 years and 10 years, delivering around 15 to 16% [music] over 5 years versus roughly 11 to 13% of the index. Now, this 5 years of outperformance sounds impressive until you realize it shouldn't exist at all in a market where beating the index is supposed to be nearly impossible. And that is exactly what makes this uncomfortable because if one fund keeps winning year either the market is not as efficient as it is believed to be or something about this performance is [music] not built to last long. Today, we are going to go a bit deeper about Nippon India Large Cap [music] Fund to see if it is the skill that will continue or a pattern that is slowly running out of time [music] and help you answer the question, should I buy, hold, or sell this fund in 2026? Chapter 1, the illusion of consistency. Now, for most investors trust in a fund is built slowly through numbers that repeat themselves over time. And when you look at Nippon India Large Cap Fund, the first thing that you notice is exactly that pattern. A long stretch of returns that quietly beat the benchmark >> [music] >> without making too much noise. Where over the last 5 years this fund has delivered close to 18.62% annually while the benchmark has stayed closer to 11.22 to 11.8% and even when you zoom out further, since the inception the fund has compounded at around 15.6% compared to roughly 10.8 to 11.3% for the index. Which may not look like a massive gap in a single year, but over a decade it starts creating a meaningful difference in wealth. Move one layer deeper and the story starts feeling even more convincing because it is not just one time frame [music] doing the heavy lifting. The three-year numbers also sit around 18.75% versus nearly 11.4 to 12.9% for the benchmark. And even when you test it through SIP returns, which is how most real investors actually put their money, the fund still comes out ahead with roughly 14.5% compared to about 11.9% from the index. And this is where the mind starts forming a simple narrative that this is not a one-time winner, this is a consistent performer.
Consistency builds trust fast because when a fund keeps beating the benchmark across three, five, and even 10 years, it starts feeling predictive. Almost like a system that just works. And that is when most investors stop questioning it and start accepting [music] it as a default choice in their portfolio. But this is actually where the discomfort begins because a large cap is not supposed to behave like this. It is one of the most efficient parts of the market where information, like I said earlier, is widely known and most active funds struggle to beat index consistently. Yes, they can have periods of bull runs where, you know, their two two to three years have been magnificent. [music] But over the period of five years or even like horizon of a decade is too long. So, when a fund keeps doing it, the real question is not how good it is, but how unusual it is because consistency here is rare, not normal.
And that leads to one critical thought.
Is this a repeatable skill or just a phase where everything has been aligned?
Because what matters now is not past performance, but whether this can continue from here. Chapter two, where the returns actually came from. At the first glance, this fund looked like any other large-cap fund, very clean, stable, built around well-known companies. That is exactly how most investors see it. As a straightforward way to participate in India's biggest [music] businesses. But when you moved one layer deeper, the story shifted passive market exposure to intended performance. Now, let's peel off another layer, the portfolio. Now, it is not purely large cap in the strictest sense, even though it follows the mandate.
Around 85% sits in large caps, but there is a noticeable 10 to 12% exposure to mid caps, and that small slice is important. Because in a category where everyone owns similar large companies, even a slight tilt can start making a difference over a period of time. And then comes the sector positioning, where the fund is not neutral nearly 25% of the portfolio is concentrated in financials, especially large private banks like HDFC and ICICI, which have been long-term compounders. And this tells you that the fund's returns are not just coming from market movement, but also from being right about where growth will come from. Well, the fund does not stop here, because when you look at concentration, the top 10 holdings alone make up 49% of the portfolio, with the top five close to about 30%, which means this is not a widely spread bet across the market. But the focus portfolio of just 66 of the companies listed on the stock exchange.
Now, here conviction on bets matters, [music] and when those bets work, the fund moves ahead of the index. Now, when you connect all of this, a pattern starts emerging.
This is not passive large cap investing.
[music] This is controlled active positioning inside a large cap framework, where small deviations, sector bets, and concentration come together to generate that extra return.
[music] But at the center of all, then sits the fund manager, Sailesh Raj Bhan, who has been running this fund since 2007, which means the same mind has guided the portfolio across multiple market cycles, from the 2008 crash to the post-COVID rally.
>> [music] >> And that continuity matters because consistency in returns often reflects consistency in decision-making, [music] as well. So, the alpha that is being generated here starts looking less like luck and more like a result of a repeatable approach. But it also creates a new layer of dependence because of the returns that are coming from these active choices. Then the future performance also depends on those choices continuing to work. Now, which leaves us with a simple but very important question. Are you comfortable owning a large cap fund that quietly bends the [music] rules to win? Chapter three, the risk that doesn't look like risk. At the first glance, this fund feels stable, almost calm, because it sits inside the large cap category, owns well-known companies, and shows slightly lower volatility than its peers. With a standard deviation of around 13.6% compared to roughly 14% for the category, and a beta of 0.96, which means it broadly moves with the market.
And when you combine that with a higher sharp ratio of about 0.61 versus 0.38 [music] for the category, the picture starts looking even better, because not only is it delivering returns, it is also doing the job more efficiently. Better risk-adjusted returns start feeling like lower risk, and many investors subconsciously translate that into safety. And if the fund has some built-in protection, but that is not really what the data is saying. Because when you zoom out and look at the actual market behavior, the story is different.
During the 2008 crisis, the fund saw a drawdown of more than 50%. [music] And even in the COVID crash of 2020, it fell close to 30 to 35% in a matter of weeks against the 40% drop of category, which tells you that when the market falls hard, this fund falls with it, but just a little [music] less. Yes, it tends to recover well, just like the most large cap funds do, but recovery does not cancel out the experience of the fall.
And that is where the belief of investors is that [music] this fund is safe breaks, because when they expect stability, but what they're actually getting is just relative stability, which they think is protection against market behavior. So, the real question is not whether this fund manages risk better than its peers, because the data suggests it does. The real question is whether you as an investor can handle that kind of drawdowns that come with equity itself. Because at the end of the day this fund does not remove risk, it just handles it better. And it only becomes clear when market actually tests your patience. Chapter four, the hidden cost of outperformance. Now, everything comes at a price and the alpha generated by this fund isn't an exception. [music] Instead, in this case, the price is not hidden in any complex funds terms and conditions sheet. It is clearly visible in the expense ratio where the regular plan sits at close to 1.5% which is [music] twice of its peers and the direct plan is around 0.7%. It is slightly better, but this is where the conversation shifts from [music] returns to what you actually get to keep.
Because when you step back, the large cap space today offers a very simple alternative which is a low cost index funds that track the same universe of companies, deliver market returns, and charge almost negligible fees. So, the question is no longer whether this fund is out performed because the data clearly shows that over the period of 3, 5, and 10 years. The real question is whether that outperformance is enough to justify the extra cost going forward.
And this is actually not a small debate because in an efficient market when alpha is already hard to generate, >> [music] >> even when it is generated, a part of it is consumed by the expense ratio. Which means that the margin of outperformance that reaches the investor starts shrinking over the period of time. So, effectively what you're doing here is paying for the skill. You're trusting that the fund manager like Sailesh Raj Bhan will continue to make the right calls, continue to take those slightly off benchmark positions, [music] and continue to extract that extra return despite increasing competition and market efficiency and their expense ratio. But that belief comes with uncertainty because while the fund has delivered alpha in the past, there is no structural guarantee that it will continue at the same pace. Especially if the fund size has grown significantly and the market has become more competitive. [music] And this is actually where the dilemma becomes very real. On one side you have the comfort of proven performance backed by years of data. On the other side, you have the simplicity and cost advantage of passive investing which quietly compounds without depending on human decisions. So, the decision here is not just about the numbers. It is about conviction. Because if you strongly believe that this fund strategy and manager can keep delivering, the cost may feel justified. And especially if you are somebody who's looking for some kind of alpha beyond the usual 12%, then this fund is that large cap fund which also gives you this stability, but has that potential of outperformance because the 10 to 12% is dedicated to mid caps.
So, in the end, I hope this helps you make a decision about Nippon India Large Cap Fund, how it sits well in your portfolio right now, at what stage of investing you are in, and the time horizon that you are looking at. Do let us know in the comments any doubts that you might have, and what you liked about this analysis, what you didn't like about this analysis. We'll take that feedback surely. Do subscribe to Aspero for more such videos.
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