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086

Case 086Short sellingCore

Quickrin Finance, an online lender, earns a 48% yield on a Rs 5,000 crore loan book, with funding costs of 12%, credit costs of 10% and operating costs of 14%. A proposed rule would cap lending rates at 36%. What happens to its pre-tax ROA, and how would you frame the short?

1The situation

Quickrin Finance makes small, short-term unsecured loans through an app. Its Rs 5,000 crore loan book yields 48% a year. As a share of the book, funding costs 12%, credit losses 10% and operating costs 14%. Equity is Rs 1,250 crore and the stock trades at 3.0x book, Rs 3,750 crore.

The regulator has published a draft rule capping the annual cost of such loans at 36%. Comments close in two months and a final decision is expected within six. Assume, for the analysis, that the stock would trade at 0.8x book if the cap passes and rise 15% if it is dropped.

2Your task

What does the cap do to Quickrin's pre-tax ROA, and how do you frame a short around it?

Quick check

Under a 36% cap, with costs unchanged, what is Quickrin's pre-tax ROA?

Worked solution

Try it on paper, then open one step at a time.

30-second answerThe answer to give first

The cap takes pre-tax ROA from 12% to zero, because costs of 36 points use up the whole capped yield. Rs 600 crore of pre-tax profit disappears unless Quickrin cuts costs, and even then it earns far less. The short is a bet on the rule passing, with a known date. At today's price the market implies only about a 17% chance of the cap; if you think it is 40%, the short carries an expected gain of about 20% before borrow costs.

Step 1Why does a 25% cut in yield wipe out 100% of profit?

Think of a shop with a fixed rent, fixed salaries and a fixed cost of stock. If the government caps its selling price at exactly what the shop pays out, turnover barely changes but profit goes to zero. Quickrin's costs, 12 plus 10 plus 14, add up to 36% of the book, the same as the cap, so every point of yield above 36% was profit and the cap removes all of it. Pre-tax profit falls from Rs 600 crore a year, a 48% pre-tax return on Rs 1,250 crore of equity, to nothing.

The ROA stack, % of the loan book: the cap removes exactly the profit layerFunding 12Credit 10Operating 14Pre-tax ROA 12Today: 48% yieldFunding 12Credit 10Operating 14Pre-tax ROA 0Under a 36% capRs 600 crorepre-tax a yearCosts 36
At a 48% yield Quickrin's funding, credit and operating costs of 36 points leave a 12% pre-tax ROA, Rs 600 crore a year; under a 36% cap the same costs consume the whole yield and pre-tax ROA falls to zero.
The relationship
ROApre-tax=yield−funding−credit−opex=36−12−10−14=0%\text{ROA}_{\text{pre-tax}} = \text{yield} - \text{funding} - \text{credit} - \text{opex} = 36 - 12 - 10 - 14 = 0\%
yieldinterest and fees earned, as a share of the loan book
fundingcost of borrowed money, per rupee of book
creditloans written off, per rupee of book
opexsalaries, technology and collections, per rupee of book
What it says in wordsA lender's pre-tax return on its book is what it charges less what it costs to fund, lose and run each rupee of loans.
Step 2Would management really sit at zero?

No, and a good short thesis says so before the portfolio manager does. Quickrin would lend only to safer borrowers, which could cut credit costs to about 7%, and trim operating costs to about 12%. That gets pre-tax ROA back to about 5%, still less than half of today's 12%, on a smaller book, because safer borrowers are fewer. Existing loans also keep their old rates until they mature, so the profit falls over a year rather than overnight. The thesis survives, but the damage is less than zero forever.

Step 3How do you frame the short around a rule that may not pass?

Make the probability explicit. If the cap passes and the stock falls to 0.8x book, Rs 1,000 crore, the short gains 73%. If the rule is dropped and the stock rises 15%, the short loses 15%. Today's price of Rs 3,750 crore implies roughly a 17% chance of the cap, the probability at which the two outcomes balance. If your work on the regulator's intent says 40%, the short's expected gain is about 20%. That is the pitch: the market is underpricing the rule, and the answer arrives on a known date.

What the price says about the rule, and what your view says about the shortQuickrin todayRs 3,750 crore, 3.0x bookcap passescap fails0.8x book: Rs 1,000 croreshort gains 73%+15%: Rs 4,312 croreshort loses 15%Price implies about 17% odds of the capAt 40% odds the short is worth +20%
Quickrin at Rs 3,750 crore implies about a 17% chance of the cap passing, given a fall to Rs 1,000 crore if it passes and a 15% rise if it fails; at a 40% view the short is worth about 20% before costs.

Close with the risks that are specific to this short. Borrow can be expensive and scarce in a stock that many funds already short, and a rule being dropped can set off a sharp squeeze. The regulator may soften the cap to 42%, which leaves Quickrin profitable. Size the position so that the 15% loss in the failure case is bearable, and plan to exit on the decision date either way, since after it the thesis no longer exists.

Where candidates lose it

The common miss is treating the cap as a 25% cut in revenue and therefore a 25% cut in profit. The costs do not fall with the yield, so the profit layer, not the revenue, is what the cap removes.

The second is pitching the short as if the rule were certain. A short on a regulatory event is a probability trade; without the implied probability and your own, there is no pitch, only a story.

What the interviewer asks next

  • The final rule caps rates at 42%. What is the ROA, and does the short still work?
  • How would you check the market's implied probability against what the regulator has said?
  • What would you pair the Quickrin short with to remove sector risk?
← Case 085Pallav Multi-Strategy Fund can buy a put spread costing 1.5% of NAV a year that pays 12% of NAV if the market falls 25%. You think such a crash happens once in eight years. Is the hedge worth buying?Case 087 →Open-ended: would monsoon rainfall help predict quarterly sales for Bhumora Agro and four other farm-input makers? You have 15 years of district rainfall and quarterly sales. How would you build and test the signal, and how many independent observations do you really have?

Company names and figures are illustrative.

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