How Liquidity Affects Equity Research and Market Access

Liquidity decides what can be researched and what can be bought, and it does both before any analysis begins. An institution that cannot build a position without moving the price will not commission the work, and an analyst whose readers cannot act will not be asked to cover the company. Analysis follows tradeability, rather than the other way round.

The claim rests on three things established earlier. The first piece in this sequence settled what a market price records and what one day of trading actually is. The opening sequence settled that a listed share carries an exit right, and that free transferability is what makes the exit real instead of theoretical. And the record for Sarvani Coatings Limited supplies a free floatThe slice of the register that is actually in circulation, once the blocks sitting with founders and other holders who never sell have been set aside. and a traded value to work with. Put together, those three turn liquidity from a mood word into a quantity that can be divided.

Why does liquidity matter before any analysis begins?

Most treatments put liquidity at the very end. The business is read, the statements are read, a view is formed, and then somebody adds a closing line saying the share is thinly traded, so care is needed. The ordering is backwards, and it is the single reason the pattern of research coverage looks arbitrary to somebody new.

Think about a wholesaler who supplies restaurants. A large chain asks for a new sauce and he will spend three weeks on the recipe, the sourcing and the costing. A single stall asks for the same sauce and he will not, and it has nothing to do with the recipe being worse. The effort has nowhere to land. The size of the order decides how much study the order gets, and everybody in that market understands this without needing it explained.

Liquidity is not a caveat attached to a conclusion; it is a gate that decides which companies get a conclusion written about them at all. Once that is held, the coverage pattern stops looking like a mystery. There is nothing puzzling in four hundred listed issuers having twenty research houses following them while two thousand others have none. The sorting rule is already known, and it was applied long before anybody looked at a single balance sheet.

Who actually pays for a research report?

Research costs an analyst's time, and quite a lot of it. Meghna Iyer covers eleven issuers. Picking up a twelfth means six weeks of reading filings, walking a plant, building a model and speaking to distributors, and then a standing commitment to a quarterly update for as long as the coverage lasts. Somebody has to pay for those six weeks, and that somebody is always, directly or indirectly, a person who transacts.

On the sell sideThe brokers and investment banks that publish research for clients rather than investing their firm's money. Their research is paid for out of the business those clients then do with them., the report is published free and paid for out of the broking business those reading institutions then route back. On the buy sideThe funds, insurers and other institutions that manage money and buy securities for themselves. Their analysts are paid out of the fees on the money they deploy., the analyst is on the payroll of a fund whose fee income depends on deploying money into something. Both routes end at the same place. The work gets funded by somebody putting size through the market.

So coverage is not decided by the question a newcomer expects. The deciding question is not whether the business is interesting, or well run, or growing. The deciding question is whether anybody can act on the answer in a size that matters to them. If a company cannot absorb a meaningful position without its price moving, there is very little transacting to fund the six weeks, and the six weeks do not happen.

The funding chain is an economic description, not a judgement about small companies, and it produces a real and persistent gap in what is known about them. Nobody in this chain decided that thinly traded issuers deserve less attention. There is no committee. The funding simply is not there, and the outcome falls out of the arithmetic. Saying so is not a criticism of research houses and it is certainly not a claim that the neglected companies are better ones. The description is structural, and the honest version of it includes the part where the gap is genuinely unhelpful to everybody.

What can actually be bought at the price on the screen?

Here is the record for Sarvani Coatings Limited, all of it invented and all of it taken as at the illustrative date of 28 August 2026. There are 24.00 crore equity shares of Rs 2/- each, the illustrative price is Rs 486/-, and the market capitalisationThe price of one share multiplied by the total number of shares in issue. It measures what the whole company is quoted at, not what any part of it can be sold for. is therefore Rs 11,664 crore. The promoter and promoter groupThe founding holders and the entities connected to them, disclosed as a separate line in the shareholding pattern every listed company files each quarter. hold 52.4 per cent, leaving a free float of 47.6 per cent, or Rs 5,552 crore. The average daily traded valueThe rupee value of the shares changing hands in a typical session, averaged over a stated recent window. Exchanges publish the underlying quantity and value for every scrip. is about Rs 42 crore. At Rs 486/- that is roughly 8.64 lakh shares a session.

The second figure divided by the first gives the number this whole guide turns on. Rs 42 crore against a float of Rs 5,552 crore is 0.76 per cent. On an average day, three quarters of one per cent of the tradeable stock changes hands. Consider three people who all want to buy this share on the same morning, at the same Rs 486/-, having read exactly the same things about the business.

The household never meets the constraint at all. Their order is about one part in eight hundred and forty of a single session. The order goes through at the screen price, and if they read a chart showing Rs 486/-, that is genuinely the number they transact at. For them the price on the screen is the price.

The mid sized fund wants an amount that is almost exactly one full day of the entire market in this share. Other buyers and sellers are in the same session, and taking the whole day would be visible, so the fund cannot have it. A fifth of each session is already a heavy footprint. Working at that rate, the fund needs about five trading days, and every day after the first it is competing with the price its own buying has already lifted. Their average cost will not be Rs 486/-.

The large fund wants ten days of the entire market and 7.20 per cent of everything that can trade. At a fifth of each session, that is about forty eight trading days, or roughly ten weeks of continuous buying in one share. The price on the screen is available for small quantities and is not available for large ones, and no price chart ever shows that. The large fund's problem is not a view about Sarvani Coatings. The managers may love the business. The problem is arithmetic about a float, and it would be exactly the same problem if they hated the business and wanted to sell.

Counting whole days of the entire market is the cleanest way to see the size of the problem, but it is not how anybody actually trades. Nobody takes a hundred per cent of a session. Take a fifth of it, a rate most desks would already consider aggressive, and the same three orders convert into calendar time.

Why does the free float matter more than the size of the company?

The arithmetic above never used the Rs 11,664 crore. Every division was against the float of Rs 5,552 crore and against the traded value of Rs 42 crore a day. Shares in issue give the quoted value of the whole company. Because a large part of the register may not be for sale at any price the market is likely to offer, the share count does not give what can change hands.

Think of a residential building of one hundred flats where seventy two are held by one landlord who has no intention of selling. The building has a hundred flats. The market has twenty eight. Somebody who wants to buy fifteen flats is trying to buy more than half of everything that trades, and the headline count of a hundred told them nothing useful about how hard that will be. A holding that is closely heldStock that sits with holders who are not expected to sell, such as founders, strategic partners or a parent company, and which therefore does not form part of the trading supply. is out of the market as surely as if the shares did not exist.

The float rather than the company size sets what can be transacted, so two issuers of identical market capitalisation can be completely different propositions once the float is read. The figure below sets Sarvani Coatings against a second issuer built purely for this contrast, capitalised at exactly the same Rs 11,664 crore but with 82.0 per cent of the register in hands that do not trade. The second issuer holds one variable still while the other moves.

What happens to a good analysis of an illiquid share?

The consequence for the analysis itself is usually left out. An analysis of a thinly traded company can be correct, genuinely valuable, and completely unusable at the same time. The three findings are not in tension. The work identifies something real. The position that could be built on it is too small to change any large investor's outcome. And the exit, whenever it comes, has to go back through the same narrow door the entry came through, at a moment nobody gets to choose.

So the discovery does not get acted on at a size that pays for the discovery. Being right about an illiquid company does not by itself pay for finding out, and that is exactly why the information gap in such companies persists instead of closing. In a liquid share, a mispricing attracts capital, capital closes it, and the person who spotted it gets paid for the spotting. The loop from spotting to capital to payment is what makes people say markets correct themselves. Where the float will not absorb the capital, the loop does not run. Nothing corrects it. Correcting it is not worth anybody's six weeks.

Does any of this apply to a holder dealing in small quantities?

Almost none of it does, and saying so plainly is the useful part. Every constraint above scales with the size of the intended position. The household buying Rs 5 lakh of Sarvani Coatings never touches the walls of the room the large fund is stuck in. The household is not slicing an order across ten weeks, not moving the price, and its exit is a single order on a single morning. The constraint that removes an issuer from an institution's list simply does not appear on theirs.

The escape creates a genuine asymmetry, and it runs the opposite way to what people expect. Almost every structural feature of markets favours the large participant, who gets better costs, better access and better information. Liquidity does not. A constraint that makes an issuer untradeable for a large investor leaves a holder dealing in small quantities entirely unaffected, and that is a structural feature of how markets are organised rather than a suggestion to act on it.

The asymmetry does not turn thinly traded companies into opportunities. Thin trading is what made the coverage sparse, and sparse coverage means less has been checked by anybody. The thinness cuts in both directions, and it cuts hardest against somebody working alone. The asymmetry is real and worth understanding, and it is still not a strategy.

Who uses this, and what do they do with it

Four different people read the same traded value and ask the same question in four different currencies. An analyst building a coverage list reads it as a workload question. The year holds a fixed number of weeks, so which issuers can absorb enough capital that publishing on them will be read and paid for? The coverage decision is made before any model is opened, and it is why analyst coverageThe number of research houses that publish regular estimates and reports on a company. It is disclosed by the houses themselves and aggregated by data vendors, not by the company. clusters so heavily at the top of the market.

A fund manager reads it as a sizing question, and often as a hard limit written into the mandate: no position that would take more than a stated number of days to exit at a stated participation rate. The limit exists because a fund can face redemptions on a day it did not choose, and a holding that takes ten weeks to sell is not a liquid asset backing a daily redeemable unit, whatever the price screen says.

A lender reads it as recovery. If listed shares are pledged as collateral, the lender is not asking what the shares are quoted at; the lender is asking what could actually be realised in the days after a default, when they will be selling into a market that has probably worked out why they are selling. The haircut applied to pledged stock is largely a liquidity judgement wearing a credit label.

And a household reads it as an exit question, the version most people meet first. A holding received in an inheritance, or an employee share allotment that has vested, or a small legacy position in a company nobody talks about any more. The screen shows a price. Whether that price is available depends on the size of the holding relative to what trades, and for most household sized holdings it genuinely is. Every one of these four is asking the same question in a different currency: how much of this can change hands, and how quickly.

What gets established before work starts?

Establish what actually trades. The instruction is that short, and it costs one line: the average daily traded value, the free float, and the position size realistically wanted. The third divided by the first gives the number of days. The third divided by the second gives that position's share of everything that can trade. Both numbers take a minute and both belong at the top of the note, above the business description, not in a footnote at the bottom.

Then size the conclusion to what could actually be acted on. If the honest position is Rs 5 crore because that is what the float supports at a sane participation rate, the analysis is worth doing to the standard a Rs 5 crore decision deserves, and the conclusion says so. Such a note is not lesser work, only work that knows what it is for.

The rule is about sequencing, not about which companies are worth studying. A thinly traded company is not thereby a worse company, a worse investment, or unworthy of anybody's time. Plenty of excellent businesses trade very little. The rule only says that how much trades is found out before six weeks are spent. When the six weeks are over, what the answer can be used for is already known. The alternative is the ordering in the first figure, where the constraint is discovered last and the work has to be shrunk or shelved after somebody has already paid for it.

The relationship between the intended position size and the volume available is given a live control under market depth, where the depth figures are there to move it against. The three sized positions above carry that work in numbers that can be checked by hand.

Sarvani Coatings Limited, Nandivarman Paints Limited, Kesaria Surface Solutions Limited, Thottam Chemicals Limited and Meghna Iyer are invented.
Educational material. Not advice on any investment, tax, budget or market position.