Why Smart People Make Dumb Money Decisions: The Behavioural Biases Quietly Destroying Indian Investors (2026)
93% of F&O traders lost money in FY24 (SEBI). SIP stoppage ratios spiked to 65%+ during COVID and 51% during the 2022 correction (AMFI). These aren't bad-luck stories — they're loss aversion, recency bias and herd mentality playing out, rupee by rupee, on Dalal Street.
🧠 Investor Psychology Series
📋 Table of Contents
- Why This Topic Barely Exists for Indian Investors
- Loss Aversion: Why a ₹10,000 Loss Hurts More Than a ₹10,000 Gain Feels Good
- Recency Bias: Why Your Last 6 Months of Returns Are Lying to You
- Herd Mentality on Dalal Street: IPO Mania, GMP Hype & WhatsApp Tips
- The SIP-Pausing Mistake: What AMFI's Own Data Reveals
- A Personal Note: What I Learned Watching My Own SIPs Through 2020 and 2025–26
- 5 Practical, Behaviourally-Informed Fixes for Indian Investors
- Frequently Asked Questions
Why This Topic Barely Exists for Indian Investors
Search "why people lose money in the stock market" and you'll get a flood of generic content — most of it written for a US audience, talking about 401(k)s, S&P 500 dollar-cost averaging, and Robinhood day-trading culture. Almost none of it explains why a salaried professional in Pune, Bengaluru or Lucknow — someone smart enough to clear competitive exams, manage a team, and run a household budget — ends up making the same money mistakes as a first-time trader.
The honest answer has very little to do with intelligence and almost everything to do with behavioural finance — a field of economics that studies how psychological biases override rational decision-making, especially with money. The data on Indian retail investors is now extensive enough to map exactly how this plays out: SEBI's own study of futures & options (F&O) traders found that 93% of more than 1 crore individual traders lost money between FY22 and FY24, with aggregate losses exceeding ₹1.8 lakh crore[1]. This isn't a story about bad stock picks. It's a story about loss aversion, recency bias, herd behaviour, and — for long-term SIP investors — the single most expensive habit of all: pausing your SIP exactly when you shouldn't.
This article walks through four biases that show up again and again in Indian market data, using real numbers from SEBI, AMFI, RBI and NSE — not textbook examples from a different country's market.
You don't need to be a worse investor than an institution because you're "less smart." You need to be a worse investor than an institution because your brain is running 40,000-year-old survival software on a problem — long-term compounding — that software was never designed to solve. Recognising the bias is 80% of the fix.
Loss Aversion: Why a ₹10,000 Loss Hurts More Than a ₹10,000 Gain Feels Good
Loss aversion is one of the most well-documented findings in behavioural economics: psychologically, the pain of losing a given amount of money is roughly twice as intense as the pleasure of gaining the same amount. A ₹10,000 loss in your portfolio doesn't just cancel out a ₹10,000 gain — it feels roughly like a ₹20,000 gain would have felt good. This asymmetry, first formalised by Daniel Kahneman and Amos Tversky's Prospect Theory, has a very specific and costly consequence for Indian retail investors: it pushes people to sell winners too early and hold losers too long — the exact opposite of what builds wealth.
How This Plays Out on Dalal Street
Consider the 2025–26 market correction. The Nifty 50 fell from its September 2024 all-time high of roughly 26,277 to around 23,100–23,600 by March–June 2026 — a drawdown of approximately 10–14% over several months, driven by sustained FII outflows (estimated ₹1.8–2 lakh crore between October 2021 and April 2025), slowing earnings growth, and geopolitical tensions in West Asia[2][3]. During exactly this kind of period, Business Standard reported that retail investors were dumping stocks at the fastest pace since 2023, with much of the selling attributed to panic rather than portfolio strategy — even as foreign funds were comparatively less exposed[4].
This is loss aversion in its purest form. An investor who bought a quality large-cap stock at ₹1,000 and watched it fall to ₹820 doesn't think "this is now 18% cheaper and possibly a better entry point." They think "I need to get back to ₹1,000 to feel okay again" — and the moment it bounces to ₹950, many sell, "locking in" a smaller loss purely to end the discomfort. Meanwhile, the stock that's up 40% gets sold immediately to "book profit," often far too early, because the fear of that gain reversing feels worse than the satisfaction of holding for a larger gain later.
Loss Aversion: The Psychological Value Curve
Based on Kahneman & Tversky's Prospect Theory (1979): the value function is steeper for losses than gains of equal size — the foundational mechanism behind loss-averse selling behaviour.
SEBI's study of the equity cash segment found that the number of individual intraday traders rose 4.6 times — from 15 lakh in FY19 to 69 lakh in FY23 — and that loss-making traders consistently traded more often than profitable ones[5]. That's not a coincidence. It's loss aversion creating a "revenge trading" loop: each loss creates psychological discomfort, and the brain's quickest route to relief is another trade — which, statistically, just creates more losses.
💡 The Reframe That Helps
Before selling anything at a loss, ask: "If I had cash sitting idle right now, would I buy this asset at today's price?" If the answer is yes, selling it just to "feel better" and then potentially buying it back later makes no economic sense — it only serves your emotions, not your portfolio.
Recency Bias: Why Your Last 6 Months of Returns Are Lying to You
Recency bias is the tendency to weight recent events far more heavily than historical patterns when making decisions — assuming that what just happened is more likely to keep happening than long-run data suggests. In investing, this shows up as chasing returns near market tops and fleeing near market bottoms — almost the textbook definition of "buy high, sell low."
A 35-year drawdown analysis of the Nifty 50 found that the index has spent only about 7.9% of all trading days at an all-time high, yet 66.3% of days were within 10% of the ATH, and over 12% of days were in bear-market territory (a drawdown of more than 20%)[6]. In other words: being "near a high" is the normal state of a rising market, and meaningful drawdowns are a routine, recurring feature — not an anomaly. Recency bias makes investors treat both extremes as permanent. When markets are euphoric (as in late 2024, when the Nifty hit its lifetime high of ~26,277), recency bias whispers "this growth is the new normal — invest more, invest now." When markets correct (as they did into 2025–26, with the Nifty down roughly 14% from that peak by March 2026[2]), the same bias whispers "this decline is the new normal — get out before it gets worse."
The IPO Listing-Gains Rollercoaster
Recency bias is especially visible in India's IPO market. In FY24–calendar 2024, average IPO listing gains were reported as high as 50–76%, with applications surging to roughly 219,000 per IPO on average (versus just 408 in FY20)[7]. Naturally, this recent run of outsized gains pulled in a wave of new retail applicants who anchored their expectations on those numbers. But by 2025, average listing gains had collapsed to around 9.1% as valuations decoupled from fundamentals[8]. Investors who entered in 2025 expecting 2024-style "guaranteed" listing pops — based on recent memory rather than the longer-run base rate — were applying a pattern that had already started breaking down.
Recency Bias in Action: Nifty 50 — Time Spent Near Highs vs in Drawdown (35-Year Data)
Source: Nifty 50 drawdown analysis, ~4,926 trading days, May 2006–April 2026 (illustrative percentages based on published rolling-return research). Drawdowns are routine; recency bias makes them feel exceptional.
If "near an all-time high" feels like the exception and "in a correction" feels like the new permanent reality — your brain has it backwards. Drawdowns of 10%+ are the normal weather of equity markets, not the storm.
⚠️ The Trap: "This Time Is Different"
Every major Indian market cycle — the 2008 Global Financial Crisis (Nifty fell ~52%), the COVID crash of March 2020 (Nifty P/E touched 17.15), and the 2025–26 correction (Nifty down ~14% from its September 2024 peak amid heavy FII selling) — has, at the time, felt like a unique, unprecedented event that justified abandoning a long-term plan. In hindsight, each one was a recurring feature of the same market, just with a different headline attached.
Herd Mentality on Dalal Street: IPO Mania, GMP Hype & WhatsApp Tips
Herd mentality is the tendency to follow what a large group of people is doing, on the assumption that the crowd "must know something" — even when no individual in the crowd has done independent research. Dalal Street has its own distinctive flavours of this: IPO mania driven by Grey Market Premium (GMP) chatter, momentum chasing in small and mid-cap stocks, and stock "tips" forwarded across WhatsApp and Telegram groups with the urgency of a fire alarm.
IPO Mania: When Oversubscription Becomes the Strategy
2025 was described as India's biggest-ever IPO year by deal volume, with retail investor categories in several IPOs oversubscribed by an average of 91.6 times — compared to Qualified Institutional Buyers (QIBs, including mutual funds and FIIs) at a comparatively modest 45.5 times[9]. Some SME IPOs saw oversubscription multiples exceeding 100x, with retail applications per IPO rising from a few hundred in FY20 to roughly 219,000 by FY25[7][10].
The Chief Economic Advisor, V. Anantha Nageswaran, has publicly flagged that many of these IPOs are increasingly functioning as exit routes for promoters and early investors rather than vehicles for raising growth capital[10] — meaning the very people with the most information about the business are often selling into the retail enthusiasm, not buying alongside it. This is the structural problem with herd-driven IPO investing: the "herd" (retail investors) is, by definition, the group with the least information, applying in the largest numbers, at the moment of maximum hype.
The GMP-to-WhatsApp Pipeline
Here's the mechanism, step by step, as it typically plays out on Dalal Street:
The Herd Mentality Loop: How an IPO Tip Becomes a Crowd Decision
A SEBI study of trading patterns across 9+ crore IPO investors found a majority sold within a week of listing, and roughly 70% sold within a year — even among Qualified Institutional Buyers, 65.4% sold allotted shares within a week[11].
Momentum Chasing and "Smart Money" Mimicry
The deeper issue with herd mentality is that it substitutes social proof for due diligence. When a stock is mentioned repeatedly across financial Twitter/X, YouTube shorts, and forwarded screenshots of "portfolio gains," the sheer frequency of exposure creates a false sense of validation — psychologists call this the availability heuristic, a close cousin of herd behaviour. The more often you see something, the more "true" or "safe" it feels, regardless of whether the underlying claim has been verified.
SEBI's broader F&O study found that more than 75% of loss-making derivatives traders continued trading in the segment despite consecutive years of losses[12], and that the proportion of traders under 30 rose from 31% in FY23 to 43% in FY24[12] — a demographic shift that correlates closely with social-media-driven trading culture. The herd doesn't just pick stocks together; it often stays in losing positions together, because leaving the herd (admitting the trade was wrong) carries its own social and psychological cost.
💡 A Simple Filter Before Acting on Any "Tip"
Ask three questions: (1) Who benefits if I buy this — the person sharing the tip, or only me? (2) Is this based on a company's actual financial filings (annual report, investor presentation, exchange disclosures), or on price momentum and "vibes"? (3) Would I still want to hold this if everyone else stopped talking about it tomorrow? If you can't answer all three confidently, you're likely reacting to the herd, not to information.
The SIP-Pausing Mistake: What AMFI's Own Data Reveals
Of all the behavioural mistakes covered in this article, pausing or stopping a SIP during a market crash is arguably the most quietly destructive — because it doesn't feel like a mistake in the moment. It feels responsible. "Markets are crashing, let me stop investing until things stabilise" sounds like prudent risk management. It is almost the opposite.
AMFI tracks a metric called the SIP stoppage ratio — the number of SIPs discontinued or completed in a month, divided by the number of new SIPs registered in the same month. Historically, this ratio hovers around 41–50% in normal conditions[13]. During the COVID-19 crash, it spiked sharply above 65%, as financial uncertainty drove a wave of investors to pause or exit their SIPs[13] — at precisely the moment the Nifty 50 P/E had fallen to around 17.15, one of the cheapest valuations in over a decade.
| Period | SIP Stoppage Ratio | Market Context |
|---|---|---|
| Normal conditions (long-run average) | ~41–50% | Baseline churn (tenure completions, portfolio rebalancing) |
| COVID-19 crash, 2020 | 65%+ | Nifty 50 P/E fell to ~17.15; one of the cheapest entry points in a decade[13] |
| 2021 (post-COVID recovery) | ~41% | Markets rallying; SIP confidence recovering[14] |
| 2022 correction | ~51% | Stoppage growth outpaced new registrations as redemptions rose 60% MoM in Nov 2022[14][15] |
| Jan–Apr 2025 (AMFI data clean-up) | Spiked above 350% (technical) | ~1.43 crore dormant folios retrospectively removed — a one-time data correction, not panic[16] |
| Feb 2026 | ~75.6% | Churn remains elevated even as 65.72 lakh new SIPs were registered the same month[17] |
The Fear-Greed Cycle vs SIP Behaviour
Illustrative representation of the documented pattern: SIP discontinuations (red) tend to rise sharply during market "fear" phases — exactly when a disciplined SIP (green, flat) benefits most from continued rupee-cost averaging at lower NAVs.
Why Pausing During a Crash Is the Opposite of "Safe"
A SIP works through rupee cost averaging — your fixed monthly amount buys more units when prices (NAVs) are low, and fewer units when prices are high. If you pause your SIP during a correction, you skip exactly the months where your money would have bought the most units. When the market recovers — and historically, India's market always has — those skipped months represent permanently lost compounding, not "money saved."
This is precisely the insight covered in detail in our companion piece, SIP vs Lump Sum in 2026: The Maths Indian Investors Need to See — where a 2025 rolling-return study of 704 periods found that investors who kept their SIP running through the 2008 Nifty crash of ~52% generated XIRRs of 14–16% over the following five years. The investors who paused during that crash and resumed later missed exactly the units bought at the bottom — the highest-return units in the entire SIP.
SIP assets now stand at ₹17.12 lakh crore — 21% of the mutual fund industry's total AUM of ₹81.58 lakh crore — and equity mutual funds have posted 63 consecutive months of positive net inflows as of May 2026, even through a volatile geopolitical environment[18]. The investors contributing to that streak are, by definition, the ones who didn't pause.
The "Pause" Disguise: Switching, Not Just Stopping
It's worth noting that not every SIP stoppage is panic — AMFI's own commentary on the early-2025 spike (which technically exceeded 350%) clarified that this was driven by a one-time retrospective clean-up of 1.43 crore dormant folios, not a behavioural exodus[16]. But the more routine 41–75% range of month-to-month stoppage still includes a meaningful behavioural component: investors who stop one SIP and immediately start another — chasing whichever fund or category had the best recent return (a direct expression of recency bias, discussed earlier). AMFI noted this exact "stop one SIP, start another" pattern declining in early 2024 as markets consolidated without a sharp correction[19], which itself shows how closely SIP churn tracks emotional response to short-term market moves rather than long-term financial planning.
🧠 Virtuous Improvement
Investment discipline is fundamentally a mindset game. If SIP-pausing during a crash sounds like something you've done — or are tempted to do — Virtuous Improvement covers the habits and mental frameworks behind consistent, long-term decision-making.
A Personal Note: What I Learned Watching My Own SIPs Through 2020 and 2025–26
In March 2020, like most people with a Demat account and a smartphone, I watched the Nifty fall in a matter of weeks to levels that felt almost unreal. I remember opening my mutual fund app and seeing every single SIP I held showing deep red — and I remember the very specific thought that crossed my mind: "Maybe I should just pause these for a couple of months until things calm down." I didn't act on it immediately, mostly out of inertia rather than discipline. In hindsight, that inertia was the best financial decision I made that year — those April and May 2020 SIP instalments, bought at some of the lowest NAVs of the decade, ended up being among the best-performing units in my entire portfolio over the following three years.
The 2025–26 correction tested the same instinct again, in a different way. By early 2026, with the Nifty down meaningfully from its September 2024 peak and headlines dominated by FII outflows and West Asia tensions, I caught myself doing something subtler than wanting to pause — I started checking my portfolio far more frequently. Daily, sometimes twice a day. That increased checking frequency is itself a behavioural red flag: research on "myopic loss aversion" suggests that the more often you observe a volatile asset's value, the more loss-averse and short-term your decisions become, simply because you're exposed to more "loss" data points even if the long-term trend is unchanged.
What helped, both times, was the same thing: a written note-to-self, made when markets were calm, that said something like "When markets fall 15-20%, my SIP continues unchanged. This is the plan. This note is the reminder that the plan was made by a calmer version of me, for exactly this moment." It sounds almost too simple to matter. But the entire premise of behavioural finance is that in the moment, your "crisis brain" and your "planning brain" are not the same decision-maker — and pre-commitment is one of the few tools that lets your planning brain win.
5 Practical, Behaviourally-Informed Fixes for Indian Investors
None of the fixes below require predicting the market, picking better stocks, or having more willpower than the next person. They work by changing the structure of your decisions so that biases have less room to operate.
1. Automate Everything You Can — Especially SIPs
The single biggest defence against loss aversion, recency bias and herd mentality is removing yourself from the monthly decision entirely. A standing-instruction SIP that debits automatically requires more effort to stop than to continue — which is exactly the friction you want. Every behavioural fix in this article is, at its core, a way of engineering "doing nothing" to be the easiest option.
2. Write Your "Crash Plan" When Markets Are Calm
Decide, in advance and in writing, exactly what you will do if the market falls 10%, 20%, or 30% from a recent high. (For most long-term SIP investors, the answer to all three should simply be: "nothing — continue as planned, possibly increase if cash is available.") Decisions made in advance, by your calm self, are far more rational than decisions made in the moment, by your scared self.
3. Limit Portfolio-Checking Frequency
If your investment horizon is 10+ years, checking your portfolio daily provides zero decision-useful information — but it does provide a steady stream of short-term "loss" data points that myopic loss aversion will react to. Consider checking monthly or quarterly, aligned with SIP statements, not daily price movements.
4. Apply a 48-Hour Rule to Any "Tip" or IPO
Before applying for an IPO based on GMP chatter, or buying a stock based on a forwarded message, wait 48 hours and read the company's actual filings (RHP/prospectus, latest annual report, exchange disclosures) during that window. If the opportunity genuinely depends on you acting within minutes or hours, that urgency is itself the strongest signal of herd-driven hype, not genuine opportunity.
5. Separate "Investing Money" from "Speculating Money" — Physically
If you want to participate in IPOs, momentum trades, or F&O — and many people reasonably do, for the learning experience if nothing else — ring-fence a small, clearly-labelled amount you've already mentally written off as "tuition fees." Keep it in a separate account from your SIP and long-term portfolio. This prevents a bad week of speculation from psychologically contaminating your long-term plan, and prevents long-term portfolio anxiety from bleeding into speculative decisions.
For a deeper look at how India's broader savings allocation compares to recommended targets — and where SIPs fit into that picture — see SIP vs Lump Sum in 2026: The Maths Indian Investors Need to See. And if inflation eroding your real returns is part of what's driving anxious portfolio-checking, Understanding Inflation in India: Is Your Savings Account Shrinking? tackles that directly.
Frequently Asked Questions
Why do most people lose money in the Indian stock market?
SEBI's own studies show that 93% of individual F&O traders lost money between FY22 and FY24, with aggregate losses exceeding ₹1.8 lakh crore[1], and that loss-making traders tend to trade more frequently than profitable ones[5]. The core drivers are behavioural: loss aversion (holding losers, selling winners early), recency bias (chasing recent trends near market tops), herd mentality (following crowd-driven IPO and stock "tips"), and overtrading driven by high transaction costs — traders paid roughly ₹26,000 each in transaction fees alone in FY24[20].
What is loss aversion in investing, with an Indian example?
Loss aversion is the tendency to feel the pain of a loss roughly twice as intensely as the pleasure of an equivalent gain. In India, this shows up when investors hold onto falling stocks hoping to "get back to even" while selling profitable holdings too early to "lock in gains." During the 2025–26 correction, this dynamic contributed to retail investors reportedly selling stocks at the fastest pace since 2023, even as the longer-term fundamentals had not necessarily changed[4].
Should I stop my SIP when the market crashes?
Generally, no. AMFI data shows that SIP stoppage ratios spike during downturns — exceeding 65% during the COVID-19 crash of 2020[13] and rising to roughly 51% in the 2022 correction[14] — precisely the periods when rupee cost averaging buys the most units at the lowest prices. A 2025 rolling-return study found SIPs that continued through the 2008 Nifty crash (~52% decline) generated XIRRs of 14–16% over the subsequent five years. Pausing skips your highest-potential-return instalments. This is general education, not personalised advice — your individual situation (job security, emergency fund, financial goals) should always be considered, ideally with a SEBI-registered investment adviser.
What is herd mentality in the stock market and why is it common on Dalal Street?
Herd mentality is following a crowd's investment decisions instead of independent analysis, on the assumption the crowd has superior information. On Dalal Street, this is visible in IPO oversubscription — retail categories were oversubscribed by an average of 91.6x in 2025, versus 45.5x for institutional QIBs[9] — and in WhatsApp/Telegram-driven stock "tip" forwarding. A SEBI study of over 9 crore IPO investors found a majority sold within a week of listing[11], suggesting much of this activity is driven by social momentum rather than fundamental conviction.
What is recency bias and how does it affect Indian mutual fund investors?
Recency bias is overweighting recent events when predicting the future — for example, assuming a fund's last 1-2 years of strong returns will continue, or assuming a market correction will deepen indefinitely because it has fallen recently. A 35-year Nifty 50 drawdown study found the index spends only ~7.9% of trading days at an all-time high but 66.3% of days within 10% of one — meaning near-highs are normal and corrections are routine, not exceptional, despite how they feel in the moment[6].
How can I avoid behavioural biases when investing in India?
Practical, low-effort steps include: automating SIPs so "doing nothing" is the default during volatility; writing a "crash plan" in advance specifying exactly what you'll do (usually: nothing) if markets fall 10-30%; limiting portfolio-checking frequency to monthly or quarterly; applying a 48-hour research rule before acting on any IPO or stock tip; and keeping speculative trading capital in a separate account from long-term investments. None of these require predicting markets — they work by reducing the number of moments where a bias can influence a decision.
📚 Sources & Citations
- SEBI, "Updated SEBI Study Reveals 93% of Individual Traders Incurred Losses in Equity F&O between FY22 and FY24" — sebi.gov.in (Sep 2024)
- Wright Research, "Nifty Historical Drawdown Analysis: What 35 Years of Data Say About the 2026 Correction" — wrightresearch.in (Mar 2026)
- Republic World / NSE-BSE market data — Nifty 50 and Sensex levels, June 2026 — republicworld.com (Jun 2026)
- Business Standard, "Retail investors turn cautious as they dump stocks by most since 2023" — business-standard.com
- PMS Bazaar, "70% of Day Traders Lose Money, Latest SEBI Study Finds" — pmsbazaar.com
- INVES21, "Nifty Drawdown Analysis" — inves21.com (Apr 2026)
- Business Standard, "Primary driver: How average listing gains are pushing IPO subscriptions" — business-standard.com
- Insights Market, "IPO Investing Risks 2025: The Hidden Risks Retail Investors Ignore" — blog.insights.market (Dec 2025)
- Trendlyne, "India's IPO story in 2025: Investors go selective, backing quality over hype" — trendlyne.com (Sep 2025)
- SME Futures, "SME IPO Mania: India's small businesses drive fundraising and investor FOMO in 2025" — smefutures.com (Nov 2025)
- Business Standard editorial on IPO oversubscription and SEBI study of IPO investor selling patterns — business-standard.com
- SEBI study referenced in PMS Bazaar re: F&O trader demographics and continued loss-making participation — pmsbazaar.com
- Finnovate, "SIP Stoppage Ratio Normalizes After Dormant Folio Cleanup in FY25" — finnovate.in (Jun 2025)
- Business Standard, "SIP closure ratio surges to 51% in 2022 from 41% in 2021: Amfi data" — business-standard.com (Dec 2022)
- Moneycontrol via TradingView, "SIP closure ratio at 27 month-low of 43% in February: AMFI data" — tradingview.com
- Finnovate, "Contributing SIPs Cross 94%: A Turning Point for Mutual Fund Investors" — finnovate.in (Jul 2025)
- Bonvista, "AMFI Feb 2026 Data: SIP Stoppage Ratio Rises to 75.62%" — bonvista.in (Mar 2026)
- AMFI India, monthly SIP data (May 2026, released June 10, 2026) — as cited in CrunchyCashFlow, SIP vs Lump Sum in 2026
- Finnovate, "February 2026 SIP Inflows and Stoppage Ratio: What AMFI Data Really Says" — finnovate.in (Mar 2026)
- Business Standard, "Trapped in the game: 93% of F&O traders lose money but refuse to quit" — transaction cost data (₹26,000/trader, FY24) — business-standard.com (Sep 2024)
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