NBFCs, Housing Finance & Insurance

A bank has one privilege that decides almost everything about it: it can accept demand deposits — the current and savings accounts people keep money in for convenience rather than for return. That money is cheap, it is sticky, and the depositor is not really shopping for a rate. A non-banking financial company (NBFC) cannot do this. A few categories are permitted to accept fixed-term public deposits under strict conditions, but no NBFC runs a current-account or savings-account franchise.

So an NBFC buys its money. It borrows from banks, issues bonds and non-convertible debentures, sells short-tenor commercial paper, raises money abroad, and securitises loan pools — meaning it sells a slice of its existing loans to a bank or a fund for cash today. Every one of those has a market price and a maturity date attached to it.

What it gets in exchange for giving up cheap deposits is reach and speed. An NBFC lends where a bank's process will not go: a used-truck buyer with no formal income proof, a customer who wants money against gold jewellery by evening, a small trader in a district town. Housing finance companies, which are regulated by the Reserve Bank of India, sit inside the same structure with a much longer asset.

For a bank, the cost of money moves slowly. Savings-account rates barely move, and term deposits only reprice at renewal. For an NBFC, the cost of money is whatever the market charges it today.

That price has two parts. The first is the general level of interest rates, which the Reserve Bank of India influences through the policy repo rate and through how much surplus cash it leaves in the banking system. The second is the credit spread — the extra a borrower pays over a government bond because of who it is. A credit rating is literally the price tag on that spread. An upgrade is a permanent cut in funding cost. A downgrade is a permanent increase, and it arrives at the exact moment the company can least afford it.

This is why parentage matters so much in this sector. A lender owned by a large bank or a well-capitalised group borrows more cheaply than an identical standalone lender, because the market prices in who would step in. That is not a small edge. On a book earning a spread of a few percentage points, half a point of funding cost is a large share of the profit.

A home loan runs for fifteen or twenty years. The money funding it might be a three-year bond, or ninety-day commercial paper. That gap is asset-liability mismatch, and it is not an accident or a management failure. It is how the business makes money, because short money is cheaper than long money.

The risk is not the mismatch itself. The risk is its size, and what happens on the day the short borrowing matures. The lender has to repay it out of a loan book that has not matured, which means it has to borrow again — refinance. Refinancing works right up until the market decides it does not want to lend to this borrower, or to this whole category, at any sensible price.

Every regulated lender publishes an asset-liability maturity table in its annual report: how much money comes in and how much goes out in each maturity bucket. Read the buckets under one year. A large negative gap in the near buckets, funded by an assumption that the market will always be open, is the most useful advance warning this sector gives you. Larger NBFCs are also required to hold a buffer of liquid assets for exactly this reason.

The pattern repeats because the structure invites it. Funding is cheap and plentiful for a while. Lenders grow the book faster than they can underwrite it, and fund that growth with progressively shorter money, because short money is the cheapest money. Then one large borrower in the category defaults — the 2018 default of a major infrastructure financier is the episode most people remember — and the market stops distinguishing between good and bad names in that category.

What follows is mechanical. Mutual funds, which are large buyers of non-bank paper, face their own redemptions and stop rolling over commercial paper. Banks reprice. The weakest lenders cannot refinance, so they must shrink: they stop disbursing, sell loan pools to raise cash, and in the worst case default themselves. Even healthy lenders slow down, because growing a book while your funding cost is rising destroys the spread.

The recovery has a consistent shape too. Funding returns first to the strongest balance sheets, so share moves towards them. Treat this as a mechanism rather than a forecast: it tells you which questions to ask about a lender's liability side long before you look at its growth rate.

Two numbers describe a lender's gross profitability. Spread is the yield on the loan book minus the cost of funds — the raw difference between what it charges and what it pays. Net interest margin, usually written NIM, is net interest income divided by average earning assets. NIM is normally the higher of the two, because part of the loan book is funded by the lender's own equity, which pays no interest.

Now the trade-off. A lender can raise its yield whenever it likes. It simply lends to borrowers other lenders declined, at a higher rate. Disbursements rise immediately, yield rises immediately, margin rises immediately, and reported profit looks excellent — because loans made this quarter are, by definition, not yet overdue.

The bill arrives roughly eighteen to twenty-four months later, when that vintage of loans reaches the age at which borrowers stop paying. This lag is the most important thing to understand about lender accounting. Fast growth at a rising yield is not evidence of a great business. It is a question about who the new borrowers are, and the answer only becomes visible after the growth has already been reported and applauded.

Spread is the number the market talks about. Credit cost is the number that decides the return. A lender with a three-point spread and a credit cost of half a point keeps most of what it earns. A lender with a six-point spread and a four-point credit cost has done twice the work for a worse result, and carried far more risk to get there.

This is also why the segment matters so much. Every lending segment has its own normal credit cost, and the normal range differs by an order of magnitude between a gold loan and an unsecured personal loan. A number that is alarming in one segment is unremarkable in another.

Calling all of this one sector is convenient and misleading. The funding structure is shared. The loss behaviour is not, and loss behaviour is what decides the outcome.

The pattern underneath the table is simple. Collateral that can be sold quickly — gold, a vehicle — produces small, fast, predictable losses. Collateral that cannot be sold quickly, or no collateral at all, produces losses that arrive late, in a bunch, and correlated with something happening outside the lender's control.

For a manufacturer, book value is the depreciated cost of factories and machines, and it tells you very little. For a lender, the balance sheet is the business. The assets are financial claims carried at something close to a real value, and net worth is roughly what would be left for shareholders if the book were collected in. That is why price-to-book is the standard multiple here rather than price-to-earnings.

What justifies the multiple is return on equity. If a lender earns more on its equity than shareholders require for the risk, every rupee of book value is worth more than a rupee, and the stock trades above book. If it earns less, it trades below. Growth amplifies whichever of the two is true, in both directions.

Two cautions. Book value is only as honest as the provisioning behind it, so an under-provided book overstates net worth and a low price-to-book may be pricing a book value nobody believes rather than an opportunity. And lending growth consumes equity, because every rupee lent needs regulatory capital behind it. A fast-growing lender either raises capital, diluting existing shareholders, or runs its capital ratio down. Read capital adequacy and the growth rate together — they are one story told from two sides.

An insurer is not a lender at all. It takes money before it owes anything. Premiums arrive today; claims are paid at some unknown point in the future. The pool of money held in between is the float, and it is invested.

That gives an insurer two separate profit engines. The underwriting result is premiums minus claims minus the cost of running the business — it measures whether the company priced and selected its risks correctly. Investment income is what the float earned — it measures markets and interest rates. They have to be read separately, because they are different skills and they fail at different times. An insurer can report a comfortable year on the strength of investment gains while its pricing quietly deteriorates, and none of that is visible in the headline profit line.

Life insurance sells contracts that run for decades, often mixing protection with savings. General insurance — motor, health, fire, marine — mostly sells one-year contracts that are repriced at every renewal. That one difference in duration produces two entirely different measurement systems.

For a life insurer the cost of selling a policy is incurred immediately, while the profit emerges over the life of the contract. Reported statutory profit therefore understates a fast-growing life insurer and flatters one that has stopped growing. Embedded value exists to fix that distortion, and price-to-embedded-value is the multiple that follows from it.

For a general insurer the accounting is far more immediate, so the combined ratio does most of the work. Below 100% means the company made money on underwriting before counting a rupee of investment income. Above 100% means underwriting lost money and the float has to cover the gap. That is a legitimate business model, but it is a different one, and it depends on investment markets cooperating.

Three businesses, three funding models, three risks, three multiples. Reading one with the other's yardstick is the most common analytical error in this part of the market.

One closing limit. Everything above is sector mechanics, and sector mechanics set the weather, not the outcome. Underwriting quality is a company-level fact. Two lenders in the same segment, paying the same cost of funds, can produce completely different loss experience across a cycle, because one of them said no more often. Sector analysis tells you what to ask. It cannot tell you the answer for a particular balance sheet.