Case 036Fund selection and due diligenceHard
A small cap fund grew from Rs 5,000 crore to Rs 30,000 crore in four years while its yearly alpha fell from 4.1% to 0.8%, and its median holding trades Rs 22 crore a day. Is it still worth holding, and at what size does the strategy stop working?
1The situation
Tarkshya Mutual Fund's small cap fund was a quiet top-quartile performer when it managed Rs 5,000 crore. Strong returns brought heavy inflows, and four years later it manages Rs 30,000 crore with the same manager and the same process. Its alpha against the small cap index, net of fees, has fallen each year: 4.1%, 3.0%, 2.1%, 1.4% and 0.8%, measured at average sizes of Rs 5,000, 9,000, 14,500, 21,000 and 30,000 crore.
It holds about 120 stocks. The median position is 0.7% of the fund, and the median holding trades about Rs 22 crore a day on the exchanges. Its tracking error against the index is about 5%. A wealth platform asks you whether to keep it on its recommended list.
2Your task
Is the alpha decline about size, how big can this strategy be before it stops working, and what would you tell the platform about holding it?
Quick check
At Rs 30,000 crore, how long would it take to sell the median holding at 20% of its daily volume?
Worked solution
Try it on paper, then open one step at a time.
30-second answerThe answer to give first
The alpha decline tracks size closely, about 1.3 points lost for every doubling of AUM, and on liquidity the strategy's comfortable capacity is roughly Rs 9,400 to 12,600 crore. At Rs 30,000 crore the median holding takes about 48 trading days to sell, so the manager can no longer act on his ideas quickly. With 0.8% alpha against 5% tracking error, tell the platform to stop recommending fresh money and to look for a smaller fund.
Step 1Why would size eat alpha in a small cap fund?
A good street food stall can serve a hundred customers with the same quality; ask it to serve ten thousand and it has to change its recipe. A small cap manager's edge is finding mispriced stocks that trade thinly, and the same thinness that creates the mispricing limits how much money can use it. As the fund grows, each idea must be a larger position, which takes longer to buy and sell and moves the price against the fund on the way in and out. The manager either holds more stocks, diluting his best ideas, or moves up to bigger, better-researched companies where the edge is smaller.
The numbers fit that story closely. Fitting alpha against the logarithm of AUM gives a line that loses about 1.28 points of alpha for each doubling of size, and it reaches zero around Rs 45,000 crore. Five points do not prove cause, but a steady decline that follows size this closely, with the same manager and process, is the classic capacity signature.
Step 2How big can the strategy be before it stops working?
Estimate capacity from liquidity, not from returns, because returns are noisy and liquidity is measurable. A common desk rule is to trade no more than about 20% of a stock's daily volume, here Rs 4.4 crore a day for the median holding. If the manager wants to be able to exit a median position within 15 trading days, that position can be at most Rs 66 crore, and at 0.7% a position the fund can be at most about Rs 9,400 crore. Allowing 20 days gives about Rs 12,600 crore.
At Rs 30,000 crore the median holding takes about 48 trading days to sell, so a change of view takes two months to act on. In a falling market, when every small cap fund is selling at once, it would take longer still. That is the hidden risk of a large small cap fund: its stated holdings look liquid only until everyone needs to sell.
Step 3Is it still worth holding, and what do you tell the platform?
Alpha of 0.8% against 5% tracking error is an information ratio of about 0.16, statistically indistinguishable from zero. Before blaming size alone, check one alternative: if small caps rallied broadly, many active funds' alpha may have shrunk at the same time, so compare Tarkshya with smaller peers over the same years. If smaller peers kept their alpha, size is the cause. The recommendation to the platform is to stop directing new money to the fund, keep existing investors informed rather than forcing a switch that triggers exit loads and capital gains tax, and favour funds still inside their capacity, or a low-cost small cap index fund. An AMC that soft-closes a fund by limiting lump-sum inflows is showing the discipline you want to see.
Where candidates lose it
The common loss is blaming the manager for losing his touch. The same manager running the same process with five times the money is exactly the setting in which skill stops showing up, and the interviewer wants you to name capacity.
The second miss is measuring capacity from returns alone. Five noisy alpha numbers cannot pin down a size limit; days to exit a position, from position size and traded volume, can.
What the interviewer asks next
- The fund raises its holdings to 200 stocks to absorb flows. What happens to the alpha and to the tracking error?
- How would you estimate capacity for a large cap fund the same way?
- Should the AMC soft-close the fund, and who in the AMC would argue against it?
Company names and figures are illustrative.
