The first essay argued that most of us watch prices instead of businesses; the second, that the cure is to form your own estimate of what a business is worth. This one is about what that estimate actually does once you have it – not for your spreadsheet, but for the decisions you make when the market moves.
Here is the whole idea in one line: an estimate turns a reaction into a decision.
Without a view of what a business is worth, a falling price is something that happens to you. There is nothing to weigh it against, so you respond to the number itself – usually by selling into the fear or buying into the excitement. With an estimate, the hard thinking is already done, in a calm moment, before the price moved. A 20% fall stops being an emergency you have to resolve live, under stress, with money draining on the screen. It becomes a single question you can actually answer: did one of my assumptions break, or did only the mood change?
That, and not temperament, is most of what people mistake for the "calm" of experienced investors. They aren't reacting faster than everyone else. They're reacting less, because the decision was made in advance and a price move is just new evidence to check against it.
There's a discipline that makes this work, and it's the one idea I'd most want a new investor to keep: the margin of safety. Because your estimate can be wrong, you don't act at your estimate – you demand a discount to it. If you think a business is worth ₹900, you don't get interested at ₹890; you get interested well below it, because that gap is your protection against the assumptions you got wrong and the future you couldn't see. This is what quietly flips the meaning of a falling price: as long as the business is intact, a lower price is a wider margin of safety, not a loss. The one thing you have to rule out – the hard part – is that the market isn't seeing a real deterioration before you do. That is the difference between a genuine discount and a value trap.
To see why all of this matters, it helps to look at the opposite habit – reacting to price with nothing underneath it – taken to its extreme, where it stops looking like investing at all.
Strip the business out of the picture completely and only the price is left. That's pure trading: buying at ten in the morning hoping to sell higher by three in the afternoon. In India the sharpest example is the futures and options market, and the evidence on how it goes for individuals is worth knowing – from two separate SEBI studies, which I'll keep separate because they measured different things.
The first is the reason for that pop-up you meet when you log in to trade derivatives. SEBI found that roughly 9 out of 10 individual traders in equity F&O made net losses – about 89% – with the average loss-maker down close to ₹1.1 lakh, on an FY22 basis.
The second is a larger study SEBI published in September 2024, across three years: about 93% of individual F&O traders lost money over roughly FY22–FY24, the average loss-maker was down close to ₹2 lakh, and aggregate individual losses crossed ₹1.8 lakh crore.
Derivatives aren't investing – they're a separate activity, and institutions use them sensibly to manage risk. But for most of the individuals in those numbers, F&O isn't a different mistake; it's the same price-first habit taken to its extreme. It's the clearest evidence I know that reacting to price, with no view of the business underneath, is an expensive way to be in a market. (None of which is advice on what you should or shouldn't trade.)
So if reacting to the price is the wrong work, what is the right work? It has a name – fundamental analysis – and it's worth being plain about what that means, because the phrase sounds more technical than the thing it describes.
Start with the word "fundamentals." A company's fundamentals are simply the real facts of the business beneath the share price:
- how it makes money
- how much cash it actually generates
- what it owes
- how strong its position is against competitors
- how well it is run
The price is what the market will pay for the business today. The fundamentals are the business itself.
Fundamental analysis, then, is just the work of studying those facts closely enough to understand the company as an economic engine – one that takes in capital and turns it into cash – and to judge what it is reasonably worth.
At a high level, that work is three plain steps, and not one of them begins with a formula.
First, you gather the evidence: the financial statements, the annual report, how the company earns, who it competes with.
Second, you use that evidence to answer a few simple questions about the business – the same four from the last essay: how does it make money, why will it keep making money, what could change the story, and what is it reasonably worth.
Only third, and last, do the numbers arrive – and only to write the answer down. The maths people find intimidating is the analysis's notation, not the analysis itself.
Which means what fundamental analysis actually produces isn't really a number. It's an understanding – of what you own, why it earns, and what could go wrong. The estimate simply falls out of that understanding. And that understanding is the one thing a price on a screen can never hand you.
For most of the history of investing, though, that understanding was almost impossible for an ordinary person to build – and this is the part that changed my mind about retail investors.
Watching the price was never laziness. It was the only option available. The work I just described used to demand the annual report in hand, years of financial history buried in filings, footnotes read line by line, competitors lined up and the arithmetic done manually. That was a full-time job, which is why institutions staffed it with teams and the individual was left with a quote and a rumour. The barrier was never intelligence. It was access – to the data, and to the time to make sense of it.
What has changed in the last decade is that one specific barrier – the labour of collecting – has fallen away. Technology can now pull ten years of financials, read a five-hundred-page annual report in seconds, and lay it all out cleanly. That used to be the slow, expensive part that kept ordinary investors out.
But collecting was never the point of the work. Judging is – deciding which assumptions are reasonable, how durable an advantage really is, what could break the story. That part should stay with the person who bears the outcome; as a shareholder, you own the consequences of your view, and no machine can own them for you. So the right job for technology is to do the gathering and hand you the thinking – not to hand you a verdict and ask you to trust it. A tool that does your collecting frees you. A tool that does your judging has only sold you one more borrowed opinion.
That distinction is what led us to build Intrynsic. The years of financials, the filings, and the valuation methods are assembled for you, but every estimate arrives with its assumptions shown – so you can see the reasoning, change the growth rate, and watch the number move. The machine collects. The judgement stays yours.
So the shift across all three essays comes down to this: begin with the price and you react; begin with the business and you can decide. Speculation begins with the market. Investing begins with the business.
You can see an estimated fair value – with every assumption laid out, so you can change them and decide for yourself – for over 5,000 Indian companies on Intrynsic, free. No signup needed to look.