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NISM Series X-B · Chapter 16: Basics of Behavioral Finance

L1 · Foundation

Foundation — Standard finance, behavioural finance, and how people actually decide

The five assumptions of standard finance and the five ways real investors contradict them, the point-by-point comparison of the two schools, bounded rationality and the idea of satisficing, and prospect theory with its two phases and three premises.

22 min read · Worth 3% of the paper · Written from pages 394–403 of the official NISM workbook · Updated 11 September 2026

16.1 Behavioural finance versus standard finance

What behavioural finance is

Note two features of that definition. It operates at BOTH the individual AND the group level — so it explains herding and bubbles, not merely personal error. And it is a part of BEHAVIOURAL ECONOMICS, not a rival discipline to finance.

The five assumptions of standard finance

#Assumption
1Investors are RATIONAL
2Investors are RISK AVERSE
3Investors are SELF-INTERESTED UTILITY MAXIMIZERS
4Investors UPDATE THEIR BELIEF AS NEW INFORMATION COMES IN
5Investors HAVE ACCESS TO ALL AVAILABLE INFORMATION

Learn all five. Each of the biases studied later attacks one of them — overconfidence attacks (1) and (2), confirmation-style behaviour attacks (4), and bounded rationality attacks (5).

The five ways real investors contradict them

#Observed behaviour
1INSTEAD OF DIVERSIFYING, INVESTORS HOLD CONCENTRATED PORTFOLIOS
2INSTEAD OF MAKING A RATIONAL CHOICE OF RISK-RETURN, INVESTORS SHOW DISTINCT GREED AND FEAR OVER THE COURSE OF TIME
3INSTEAD OF ACCEPTING RANDOMNESS WITH WINNING INVESTMENTS, INVESTORS ATTRIBUTE IT TO THEIR SKILLS
4INVESTORS GETTING CONFUSED BETWEEN A GOOD COMPANY AND A GOOD STOCK
5INVESTORS PREFERRING DOMESTIC COMPANIES (HOME BIAS) BECAUSE THEY PERCEIVE THE RISK IS LOW DUE TO FAMILIARITY OF THE COMPANY

Item 4 deserves a pause, because it is the most useful single sentence an adviser can repeat to a client. A good company is one that is well run and profitable. A good stock is one whose price is below what the business is worth. They are different questions, and a magnificent company at an absurd price is a poor stock.

**And item 5 names a bias in passing — HOME BIAS — explained as the perception that risk is low due to FAMILIARITY. Familiarity is not safety.

The comparison table

Standard FinanceBehavioural Finance
ECONOMICS AT COREPSYCHOLOGY AT CORE
Investors are RATIONAL and process new information WITHOUT ANY BIAS. EFFICIENT MARKET HYPOTHESIS describes RANDOM MOVEMENT in pricesBIASES (decision making behaviour) GUIDE INVESTMENTS. EVERY NEW INFORMATION IS SEEN WITH THE SAME LENS. COLLECTIVE BIAS OR HERD MENTALITY is responsible for SHARP MOVEMENTS
Decision making is RULE DRIVEN AND CONSISTENT under different scenariosDecision making is INCONSISTENT given the EXPERIENCE, RECENCY OR LOSS AVERSION
RISK-RETURN TRADE-OFF is the foundation of investmentLOSS AVERSION IS BASIS, which in turn makes an investor OVER-SENSITIVE TO LOSSES
Decision is RATIONAL BASED ON DETAILED ANALYSISDecision is AD-HOC BASED ON THUMB RULES

Five rows, and each is a clean opposition worth memorising: economics/psychology; unbiased processing/biased lens; consistent/inconsistent; risk-return/loss aversion; detailed analysis/thumb rules.

Note the two mechanisms the second row names. Standard finance explains price movement by the efficient market hypothesis and calls it random; behavioural finance explains sharp movements by collective bias or herd mentality.

The two Nobel laureates

Three names and three years appear in this chapter, and all are examinable:

NameYearContribution
Herbert Simon1978BOUNDED RATIONALITY
Daniel Kahneman2002Nobel laureate; with Amos Tversky (1979), PROSPECT THEORY
Richard Thaler2017Nobel laureate; MENTAL ACCOUNTING (1999) and the NUDGE

16.2 How individuals actually make decisions

16.2.1 Bounded rationality

The three limits

Three limits: TIME, INFORMATION, and ABILITY TO COMPREHEND.

The definition, and what it is NOT

That second sentence is the most examinable line in the section. Bounded rationality is not irrationality. It is rationality operating inside constraints — the best answer a real mind can reach with real time and real information.

And note the word: SATISFICE = SATISFACTORY + SUFFICIENT. It is a coined word and examiners like it.

The three steps

StepAction
1PROCESS ONLY THE INFORMATION WHICH IS MANAGEABLE (as against processing ALL information)
2RULE OF THUMB OR QUICK APPROACHES ARE APPLIED while processing
3SELECT SOLUTION WHICH IS SATISFACTORY AND SUFFICIENT (Satisficing solution)

Where it sits

A three-point spectrum: RATIONALITY — BOUNDED RATIONALITY — INTUITION. Bounded rationality sits in the middle, and that positioning is itself an examination point.

16.2.2 Prospect theory

Three things it considers: FRAMING, evaluation of GAINS AND LOSSES, and the WEIGHTING of uncertain outcomes.

The two phases

PhaseWhat happens
Early — FRAMINGHeuristics do a PRELIMINARY ANALYSIS of the prospects
Subsequent — EVALUATIONThe EDITED prospects are evaluated and the one of HIGHEST PERCEIVED VALUE is chosen

Note the word "PERCEIVED." The chosen prospect is not the one of highest value but of highest perceived value — and the framing phase has already shaped that perception.

The three premises

#Premise
1CHOICES ARE EVALUATED RELATIVE TO A REFERENCE POINT (which is their WELL-BEING)
2PEOPLE ARE RISK-AVERSE ABOUT GAINS (REALIZING IT EARLY) BUT RISK SEEKING ABOUT LOSSES (HOLDING TO THEM LONGER)
3MONETARY LOSSES HURT MORE THAN MONETARY GAINS

Premise 2 is the one to fix, because it is the engine of the DISPOSITION EFFECT met later in the chapter.

Read it carefully — most people state it backwards. Standard finance assumes investors are uniformly risk averse. Prospect theory says they are risk-averse about GAINS (so they sell winners early to lock the gain in) but RISK SEEKING about LOSSES (so they hold losers longer, gambling on recovery rather than accepting the loss).

And premise 1 explains why the same outcome feels different to different people. A portfolio at Rs 10 lakh is a triumph to someone who started at Rs 8 lakh and a disaster to someone who started at Rs 14 lakh. The reference point, not the absolute value, drives the feeling.

Think of it like this

Bounded rationality — choosing a restaurant on a busy evening

A family of four arrives hungry in an unfamiliar market at nine at night. There are perhaps forty places to eat.

The standard finance approach would be to read every menu, compare prices, check hygiene ratings, interview departing customers, and select the optimal restaurant. It would take ninety minutes and the children would be asleep.

What they actually do is walk two lanes, glance at three places, notice that one is crowded with families, and sit down. Is it the best restaurant in the market? Almost certainly not. Is it satisfactory and sufficient? Yes.

That is exactly the workbook's SATISFICE — a coined word, a combination of SATISFACTORY AND SUFFICIENT. And the three limits are all present: TIME (the children), INFORMATION (an unfamiliar market), and ABILITY TO COMPREHEND (forty menus at once).

The three steps follow: process only the information which is MANAGEABLE; apply RULE OF THUMB — "a crowded place is a good place"; and select a SATISFICING solution.

And the crucial point, which the workbook italicises in its own way: BOUNDED RATIONALITY IS NOT IRRATIONAL DECISION MAKING, BUT RATIONAL DECISION MAKING UNDER CERTAIN BOUNDARY CONDITIONS. The family did not behave stupidly. They behaved sensibly inside the constraints they actually faced — which is what every investor does when confronted with four thousand listed companies.

Prospect theory — the shopkeeper who runs to collect and dawdles to pay

Watch a small trader on a day when two things happen. A customer owes him Rs 5,000 and offers to settle today at Rs 4,800 — he takes it immediately, because the certain money in hand beats the risk of waiting. The same afternoon, a supplier demands Rs 5,000 he owes and offers to settle at Rs 4,800 today — he says he will pay next month, hoping something will turn up.

He is risk-averse on the gain and risk-seeking on the loss, and the workbook names both halves: PEOPLE ARE RISK-AVERSE ABOUT GAINS (REALIZING IT EARLY) BUT RISK SEEKING ABOUT LOSSES (HOLDING TO THEM LONGER).

Standard finance cannot accommodate this. It assumes investors are uniformly RISK AVERSE, and so cannot explain why the same man behaves in opposite ways within six hours.

The consequence in a portfolio is the DISPOSITION EFFECT — holding "losers" too long and selling "winners" too early, in Shefrin and Statman's words, because "people dislike incurring losses much more than they enjoy making gains, and people are willing to gamble in the domain of losses."

And the third premise explains the force behind it: MONETARY LOSSES HURT MORE THAN MONETARY GAINS. The pleasure of Rs 10,000 gained does not balance the pain of Rs 10,000 lost — which is why the trader will risk a great deal to avoid crystallising a loss he has, in truth, already suffered.

The reference point — the same salary, two different feelings

Two engineers meet at a reunion. Both now earn Rs 18 lakh. One is delighted — he started at Rs 9 lakh and has doubled. The other is miserable — he took a pay cut from Rs 26 lakh when his company shrank.

Same number. Opposite feelings. Nothing about Rs 18 lakh explains it.

That is prospect theory's first premise: CHOICES ARE EVALUATED RELATIVE TO A REFERENCE POINT (WHICH IS THEIR WELL-BEING). People do not evaluate outcomes in absolute terms at all — they evaluate changes from wherever they happen to be standing.

The same thing happens in every portfolio review an adviser conducts. A client whose fund is at Rs 12 lakh reacts entirely differently depending on whether he remembers investing Rs 10 lakh or remembers the peak value of Rs 15 lakh. The portfolio is identical; the reference point is not.

This is also why the workbook warns that at the time of evaluating the performance of the portfolio, DECISION MAKING FRAMES MAY LEAD TO SUB-OPTIMAL JUDGMENTS. An adviser who presents performance against the peak invites despair; one who presents it against the cost invites complacency. Neither number is wrong, and the choice of which to show is itself a framing decision.

Mental accounting — the wedding envelope and the salary account

A man receives Rs 50,000 as his annual bonus and Rs 50,000 as a gift at a family wedding. He puts the bonus into a recurring deposit and spends the wedding money on a holiday.

Ask him why and he will say the wedding money was "extra." But money has no memory. Fifty thousand rupees is fifty thousand rupees, whatever envelope it arrived in.

That is MENTAL ACCOUNTING, developed by Richard Thaler in 1999 — an information processing bias in which people treat one sum of money DIFFERENTLY FROM ANOTHER EQUAL-SIZED SUM, based on WHICH MENTAL ACCOUNT THE MONEY IS KEPT.

The technical word is FUNGIBILITY, and the workbook footnotes it precisely: fungibility is the fact that ALL MONEY IS INTERCHANGEABLE AND HAS NO LABELS. People treat money LESS FUNGIBLE THAN IT REALLY IS, and are willing to TAKE MORE RISK with money that is perceived as WINDFALL GAIN OR LOTTERY WINNINGS.

It shows up in portfolios too. Investors think about their wealth as if it consists of various buckets — retirement fund, children's education fund, marriage fund — which often results into selection of assets under each bucket THAT COULD HAVE BEEN AVOIDED IF THEY CONSIDER THEIR OVERALL INVESTMENTS TOGETHER.

Thaler's own prescription is the remedy: consider money as FUNGIBLE and TREAT ALL MONEY THE SAME, REGARDLESS OF ITS ORIGIN OR USE.

Framing — the butcher who sells 95 per cent lean

Two shops sell identical mince. One sign reads "95% LEAN." The other reads "5% FAT."

The meat is the same. The sentence is the same. And the first shop sells more.

The workbook gives exactly this example under ATTRIBUTE FRAMING — beef that is 95% lean vs 5% fat — alongside RISKY CHOICE FRAMING: the risk of LOSING 10 OUT OF 100 LIVES vs the opportunity to SAVE 90 OUT OF 100 LIVES. And it draws the conclusion: THE OUTCOMES OF BOTH THE CHOICES IN BOTH THE SCENARIOS IS THE SAME, HOWEVER PEOPLE MOSTLY OPTED FOR SECOND OPTIONS IN BOTH THE SCENARIOS.

Framing bias is defined as an information-processing bias in which a person ANSWERS A QUESTION DIFFERENTLY BASED ON THE WAY IN WHICH IT IS ASKED.

For an adviser this is not an amusing quirk — it is a professional hazard. The workbook names the precise danger: investors have to rise above this bias WHILE FILLING RISK TOLERANCE QUESTIONNAIRES for the purpose of determining risk appetite, AS THAT WOULD INFLUENCE THE ASSET ALLOCATION CHOICES GREATLY.

A question that asks "how much could you bear to lose?" and a question that asks "how much growth would you like?" will produce different asset allocations for the same client — and the adviser wrote the questions.

Anchoring — the first price spoken owns the negotiation

A buyer walks into a carpet shop in Jaipur. The shopkeeper does not ask what he wants to spend. He unrolls a carpet and says "Rs 90,000."

Whatever happens next, the conversation now lives in a world where Rs 90,000 exists. Settling at Rs 55,000 feels like a triumph — even if the carpet was always worth Rs 40,000.

The workbook names this exactly: ANCHORING BIAS occurs when people RELY ON PRE-EXISTING INFORMATION when they make decisions... DURING NEGOTIATIONS, IT IS OFTEN OBSERVED THAT THE FIRST PRICE MENTIONED BECOMES ANCHOR PRICE DURING THE ENTIRE NEGOTIATIONS.

And the mechanism is not merely that the anchor is remembered. THIS MAKES ALL THE SUBSEQUENT INFORMATION TO BE SEEN IN LIGHT OF THE ANCHOR INFORMATION. The anchor becomes the lens.

In markets the anchor is usually a price the investor once saw. The workbook's second example: making a judgement about WHERE THE PRICES OF THE STOCK COULD BE ON THE BASIS OF ITS PAST PERFORMANCE.

Every adviser has heard it: "I will sell when it comes back to Rs 800." The company may have changed beyond recognition, but Rs 800 is where the client is standing — and he will stand there for years. The price he paid, or the peak he once saw, has become a fact about the stock in his mind, when it is only a fact about his own history.

The endowment effect — nobody sells grandfather's shares

A family holds 2,000 shares of a company the grandfather bought in 1978. It pays almost no dividend, the business is in decline, and it fits nothing in their financial plan. Ask anyone in the family whether they would buy those shares today and the answer is an immediate no.

Ask them to sell and the conversation stops.

That is ENDOWMENT BIAS — an emotional bias in which people VALUE AN ASSET MORE WHEN THEY HOLD RIGHTS TO IT THAN WHEN THEY DO NOT.

The workbook identifies its two attributes: VALUING OWNERSHIP and LOSS AVERSION — so it is not simple sentiment but a compound of the two, which is why it is so difficult to argue a client out of. And it names the very case: it has been generally observed that INHERITED STOCKS ARE RARELY SOLD EVEN IF THEY DO NOT FIT INTO THE OVERALL INVESTMENT STRATEGY.

The self-justifying story follows: when the investor believes that the stock she owns is MORE VALUABLE THAN OTHERS, and WHEN THE MARKET WILL RECOGNISE, SHE WOULD MAKE SUPERIOR RETURNS.

The test an adviser can offer is the simplest one in behavioural finance, and it takes a single sentence: "If you did not already own this, would you buy it today at this price?" If the answer is no, then holding it is a decision — and it is the same decision as buying it.

Bubbles — everyone crowding to the same exit

A cinema hall with one narrow door holds a thousand people comfortably — as long as nobody is in a hurry. The moment someone shouts, the same door that admitted them in an orderly hour cannot release them in five minutes.

That is the structural truth about crashes, and the workbook puts it plainly: CRASHES ENTAIL SIMILAR PROCESSES LIKE BUBBLES, BUT IN REVERSE ORDER, AND EVERYONE COMES TO SELL AT THE SAME TIME... SUCH JOSTLING AMONG INVESTORS/TRADERS TO GET RID OF STOCK LEADS TO CRASHES.

The entry is just as crowded, and Kindleberger (1978) describes it: a SHARP RISE IN ASSET PRICE IN A CONTINUOUS PROCESS, WITH THE INITIAL RISE GENERATING EXPECTATIONS OF FURTHER RISES AND ATTRACTING NEW BUYERS, GENERALLY SPECULATORS, INTERESTED IN PROFIT FROM TRADING RATHER THAN INVESTING FOR LONG TERM.

And why do the clever people not stop it? Because arbitrageurs suffer from a SYNCHRONISATION PROBLEM — they cannot coordinate the selling — besides difference in INDIVIDUAL INCENTIVES to time the market. The bubble persists not because nobody sees it but because nobody can be sure the others will move at the same moment.

The workbook offers the finest illustration in all of finance. Isaac Newton rode the South Sea Bubble in 1720, got out at GBP 7,000 having made GBP 3,500, then re-entered and lost GBP 20,000. His verdict is worth memorising word for word: "I CAN CALCULATE THE MOTIONS OF HEAVENLY BODIES, BUT NOT THE MADNESS OF PEOPLE."

Key terms in this chapter

Anchoring bias
Occurs when people rely on pre-existing information when they make decisions, which makes all subsequent information to be seen in light of the anchor information.
Attribute framing
Describing the same attribute positively or negatively, for example beef that is 95 per cent lean versus 5 per cent fat.
Behavioural finance
The study of the way in which psychology influences the behaviour of market participants, both at the individual and group level, and the subsequent effect on the financial markets. It is a part of behavioural economics.
Bounded rationality
The cognitive limitation of mind where, in absence of time or complete information, decision making favours a satisficing solution instead of an optimal one. It is not irrational decision making but rational decision making under boundary conditions.
Bubble
Described by Charles Kindleberger in Manias, Panics and Crashes (1978) as a sharp rise in asset price in a continuous process, with the initial rise generating expectations of further rises and attracting new buyers, generally speculators, interested in profit from trading rather than investing for long term.
Bucketing of wealth
Thinking about wealth as consisting of various buckets such as retirement fund, education fund and marriage fund, which often results in selection of assets under each bucket that could have been avoided if overall investments were considered together.
Choice paralysis
A situation where too many options are available and the investor is unable to decide, which may lead to postponing the decision or not taking any decision at all, affecting financial well-being.
Cognitive errors
Biases that are the result of faulty cognitive reasoning. The four covered are mental accounting, framing, anchoring and choice paralysis.
Consequences of loss aversion
A portfolio more risky than what was intended, limited upside because profits are taken too soon, and higher portfolio turnover bringing transaction costs.
Crashes
Crashes entail similar processes to bubbles but in reverse order, with everyone coming to sell at the same time. Such jostling among investors and traders to get rid of stock leads to crashes.
Daniel Kahneman
Nobel laureate of 2002, credited along with Richard Thaler for bringing behavioural finance to the forefront. With Amos Tversky he introduced prospect theory in 1979.
Disposition effect
Identified by Shefrin and Statman in 1985. The tendency to hold the losers too long and sell the winners too early, because people dislike incurring losses much more than they enjoy making gains and are willing to gamble in the domain of losses.
Emotional biases
Biases that arise due to the feelings of the investor. The five covered are loss aversion, stereo typing, overconfidence, endowment and status quo.
Endowment bias
An emotional bias in which people value an asset more when they hold rights to it than when they do not. It has two attributes: valuing the ownership, and loss aversion.
Error of commission and error of omission
People feel greater regret for bad outcomes that result from new actions taken (commission) than for the bad consequences of inaction (omission).
Explanation of momentum
Behavioural finance explains the momentum in stock prices by overconfidence bias, self-attribution bias and the disposition effect.
Framing bias
An information-processing bias in which a person answers a question differently based on the way in which it is asked. There are two types: risky choice framing and attribute framing.
Framing phase and evaluation phase
The two phases of making choices under prospect theory. In the early framing phase heuristics do a preliminary analysis; in the subsequent phase the edited prospects are evaluated and the prospect of highest perceived value is chosen.
Fungibility
The fact that all money is interchangeable and has no labels. People treat money less fungible than it really is.
Fusion investing
An approach that combines the principles of fundamental analysis with the principles of behavioural finance, suggesting the investment decision should be based on both the fundamental value of the asset and investor sentiments. It combines the value-growth approach with the momentum approach.
Fusion investing caveats
The investor must be mindful of the frequency of rebalancing the portfolio, as it may lead to higher transaction costs and taxation.
Good company vs good stock
A good company is well run and profitable; a good stock is one priced below what the business is worth. Investors frequently confuse the two.
Herbert Simon
Nobel laureate of 1978, credited with the concept of bounded rationality.
Herd mentality
Collective bias, which behavioural finance holds responsible for sharp movements in prices, as against the random movement described by the efficient market hypothesis.
Historical bubbles
Dutch Tulip mania of the 1630s, the South Sea Bubble of 1729-30s and the Tech bubble of the 2000s.
Home bias
Preferring domestic companies because the risk is perceived to be low due to familiarity with the company.
Loss aversion bias
Identified by Kahneman and Tversky in 1979. Investors tend to strongly prefer avoiding losses as opposed to achieving gains, since psychologically losses are significantly more powerful than gains.
Market anomaly
The departure of the price from its expected value, in other words a deviation from the expected returns suggested by asset pricing models such as the Capital Asset Pricing Model.
Mental accounting bias
An information processing bias, developed by Richard Thaler in 1999, in which people treat one sum of money differently from another equal-sized sum based on which mental account the money is kept.
Nudge
Richard Thalers positive use of status quo bias. If the default option is set as enrolment in the pension scheme, employees continue with it instead of opting out.
Overconfidence bias
A tendency to overestimate ones own abilities, such as believing one has superior skills to select stocks or time the market.
Piotroski score
A score between 0 and 9 which reflects nine criteria used to determine the strength of a firms financial position. Named after Joseph Piotroski. Used at Step II of fusion investing.
Prospect theory
Introduced by Kahneman and Tversky in 1979. It describes how individuals make choices between risky alternatives and how they evaluate potential losses and gains, considering framing, evaluation of gains and losses, and the weighting of uncertain outcomes.
Reasons for bubbles
Four reasons: liquidity, or easy availability of money; celebrity status of the asset; momentum, where rising prices attract more investors; and illusion of control, where investors believe they can exit before the crash.
Redhead conditions
Keith Redhead (2008) suggested five conditions for speculative bubbles: a high proportion of inexperienced traders; high uncertainty about the true value of the asset; a small chance of very high profit; the purchase can be financed by borrowing; and short selling is difficult.
Reference point
The first premise of prospect theory. Choices are evaluated relative to a reference point, which is the well-being of the investor, rather than in absolute terms.
Richard Thaler
Nobel laureate of 2017. Developed mental accounting in 1999 and the concept of the nudge.
Risky choice framing
Framing the same outcome as a risk of loss or as an opportunity to save, for example the risk of losing 10 out of 100 lives versus the opportunity to save 90 out of 100 lives.
Satisfice
A combination of satisfactory and sufficient. Selecting an option that seems good enough on quick analysis governed by thumb rules, instead of optimizing.
Self-attribution bias
Attributing success to ones own skills while attributing failure to external factors or bad luck. It supports and protects overconfidence bias.
Standard finance assumptions
Five assumptions: investors are rational; risk averse; self-interested utility maximizers; update their belief as new information comes in; and have access to all available information.
Status quo bias
An emotional bias in which people prefer to keep things the way they are and do nothing instead of making a change. Closely linked with regret aversion bias and endowment bias.
Stereo typing bias
A tendency to associate a thing or event with a category based on a small sample. In investments, investors look for a pattern and associate it with performance.
Synchronisation problem
The difficulty faced by arbitrageurs who could have corrected the mispricing, since correcting it requires many of them to act together and none can be sure the others will. Compounded by differences in individual incentives to time the market.
Value screens
Step I of fusion investing. Screens such as price to earnings, price to book value and price to sales, used to identify stocks which are undervalued.
Voting machine and weighing machine
Benjamin Grahams description: in the short run the market is a voting machine, and in the long run it is a weighing machine.
Windfall gains
Money perceived as a windfall or lottery winning, with which people are willing to take more risk and which is spent more extravagantly than hard-earned money.

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Original explanatory writing based on the official NISM workbook for Series X-B, which is published and copyrighted by NISM. Check figures against the current edition at nism.ac.in.

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