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Behavioural Finance & Investor Decision-Making
1Foundations
The Rational InvestorJudgment Under UncertaintyPreferencesBehavioural FinanceInvestor and Market BehaviourFinancial Well-BeingBounded RationalityHeuristics and Biases
2Cognitive Biases, Emotion and Attention
Limited AttentionRepresentativenessThe Affect HeuristicAnchoring and AdjustmentEmotion and Decision QualityOverconfidence and OptimismAmbiguity and Complexity AversionAvailability and SalienceHome Bias, Local Bias…FramingThe Halo EffectHindsight BiasThe Narrative FallacyPresent Bias and Hyperbolic DiscountingBase-Rate NeglectStatus Quo Bias and the Default Effect
3Preferences and Prospect Theory
Prospect TheoryRegretThe Endowment EffectMental AccountingThe Sunk Cost FallacyLoss AversionRisk Seeking in Losses
4Social Behaviour
HerdingNarrative EconomicsFear of Missing OutGroupthinkSocial Proof
5Investment and Trading Behaviour
Excess TradingNaive DiversificationThe Disposition EffectLottery PreferencesNoise TradersPortfolio InertiaRecency Bias
6Markets and Anomalies
Mania, Panic and CapitulationMarket EfficiencyEfficient Market Hypothesis vs…Speculative BubblesReflexivityInvestor SentimentMarket AnomaliesShort-Sale ConstraintsPrice DiscoveryLimits to Arbitrage
7Decision, Research and Debiasing
The Decision JournalDebiasingChoice Architecture, Defaults and…The Pre-Mortem and Process QualityDecision Quality
8Advice, Conduct and Communication
Communication ConductSuitability and AppropriatenessChoice OverloadComplaint BehaviourRisk DisclosureVulnerable Investors

The Rational Investor: The Assumption and Why It Broke

The rational investor is a benchmark, not a description. The benchmark assumes preferences that are complete, transitive and stable, probabilities updated correctly as evidence arrives, and a choice that maximises expected utility over final wealth. Each assumption was made because it made the mathematics work. Behavioural finance begins where a careful, ordinary person predictably departs from it.

The rational investor model rests on a distinction most readers have never been shown. A model can be an excellent standard and a poor description at the same time, and those two jobs are judged by completely different tests. A standard is judged by whether departures from it carry information, and on that test the rational investor has never been beaten. Every effect in behavioural finance is defined as a departure from this model, which is why relaxing the model is not the same thing as throwing it away.

What does the rational investor model actually assume?

The rational investor is not a person, and no economist has ever claimed to have met one. The rational investor is a set of four assumptions about how a decision gets made, written down carefully enough that the consequences can be worked out with arithmetic instead of argued about. The four are these. Preferences are complete, transitiveIf the first is preferred to the second and the second to the third, the first beats the third. and stable. Probabilities are updated correctly when new evidence arrives. The investor maximises expected utilityThe average of the satisfaction each outcome would give, weighted by how likely it is. measured over final wealthThe total a person ends up holding, as opposed to the gain or loss from where they started.. And only the future matters, so what a holding cost is irrelevant to whether to keep it.

Notice what is not on that list. Nothing says the investor is clever, well informed, unemotional, patient or good at arithmetic. Nothing says the investor makes money. The word rational is doing far less work than it sounds like it is doing, and most public argument about behavioural finance is really an argument about those four lines rather than about the word. The four assumptions are separable. A decision can break exactly one of them and leave the other three standing, and that separability is the single most useful thing to know about the rational investor model. Separability is what makes the model diagnostic rather than merely wrong.

Four assumptions. Four separate things to break. THE ASSUMPTION WHAT A BREAK LOOKS LIKE 1 COMPLETE, TRANSITIVE AND STABLE PREFERENCES any two options can be ranked, and the ranking holds still a ranking that goes round in a circle 2 PROBABILITIES UPDATED CORRECTLY the old belief and the evidence, and nothing else a vivid item counted twice over 3 EXPECTED UTILITY OVER FINAL WEALTH what is scored is the total held afterwards scoring the gain instead of the total 4 ONLY THE FUTURE MATTERS what a holding cost is a fact about the past waiting for it to get back to the price that was paid for it The fourth row is the one that breaks in the worked case below. The other three hold.
The rational investor model is four separable assumptions rather than one lump, so a single decision can break the fourth while the first three remain perfectly intact.
Four things assumed. Six things not assumed anywhere. ON THE LIST 1 RANKINGS THAT HANG TOGETHER 2 EVIDENCE WEIGHTED BY ITS POWER 3 UTILITY OVER FINAL WEALTH 4 ONLY THE FUTURE MATTERS NOT ON THE LIST x clever x well informed x unemotional x patient x good at arithmetic x someone who makes money None of the six is required by the model, and none of the six is implied by it either. The word rational covers the left column only. Four assumptions in, six ordinary virtues out.
The model assumes four consistency conditions and never assumes cleverness, calm, patience or making money.
Try it out

Which of the four assumptions does a person break by refusing to sell a holding for less than they paid for it?

What does it mean for preferences to be complete, transitive and stable?

Completeness says that for any two options a person can say which one is preferred, or say that the two are equally good. There is no third answer and no permitted shrug. Being transitive says that the rankings fit together: preferring the first to the second and the second to the third commits a person to preferring the first to the third. Stability says the ranking does not wander while nothing relevant has changed, so the same three options rank at four in the afternoon the way they ranked at eleven in the morning.

Four holdings make six pairs, and completeness demands an answer to each. VINDHYA NILGIRI SUVARNA KESARI VINDHYA same ? ? ? NILGIRI asked same ? ? SUVARNA asked asked same ? KESARI asked asked asked same THE COUNT 4 holdings 4 x 3 / 2 6 PAIRS TO RANK Completeness allows only three answers to each pair: this one, that one, or exactly as good. Never a shrug.
Ranking four holdings means answering six separate pairwise questions, with no permitted refusal to answer.

Take it out of finance first. A household is choosing between three schools, weighing distance, fees and what the neighbours say. If the first school beats the second on the whole, and the second beats the third, then the household is committed to the first beating the third. If it turns out the household would also choose the third over the first, the ranking has closed into a loop, and no school can be called the best one. A preference ordering that runs in a circle can be pumped: somebody willing to charge a small fee at each swap can walk the household round the loop again and again, and it will arrive back where it started holding less money. The assumption is not stated because circular rankings are common. The assumption is stated because a model containing a circular ranking has no stable answer for anything else to be measured against.

A ranking that fits together, and the loop transitivity forbids. ORDERED BY THE OUTCOME AT 30 SEPTEMBER SUVARNA up 15.0 per cent VINDHYA up 12.0 per cent NILGIRI down 15.0 per cent KESARI down 35.0 per cent transitivity commits the first to beat the fourth without anybody being asked THE ORDERING TRANSITIVITY RULES OUT FIRST SECOND THIRD and the third beats the first, so there is no best and the ranking can be pumped Meera Sundaram ranks the four consistently. The lower row is the shape the assumption exists to exclude.
A consistent ordering settles every later pair by itself, while a ranking that closes into a circle settles nothing.
Try it out

What does it mean for a set of preferences to be transitive?

What does correct updating require, and how strict is it?

The second assumption is about evidence. Correct updating means a new belief depends on exactly two things: what was believed before the evidence arrived, and how much more likely that evidence would be if one story were true rather than another. The prior belief and the diagnostic power are the entire input list. Correct updating is indifferent to how vivid the evidence was, how recently it arrived, how easy it was to picture, and how firmly the person had already told somebody else what they thought. The assumption is demanding in a way that is easy to miss. Correct updating does not ask for more information. Correct updating asks that the information already in hand is weighted by its diagnostic power and by nothing else.

The Palash decision log, an invented record of 240 decisions taken by 60 investors over eight quarters, gives a way to see how far real deciding sits from correct updating. A written reason was recorded on 84 of the 240 decisions, being 35.0 per cent. Of the 240, 71 were taken within 48 hours of a news item, being 29.6 per cent. Of the 96 buys in the log, 41 followed a media mention of the holding within three days, being 42.7 per cent, against 11.0 per cent of the eligible list being mentioned at all in a given week. None of those three rates proves that anybody updated incorrectly. The three rates measure something narrower and more useful. Each records how much of the deciding sat close to the moment a news item arrived, and the timing of that arrival is the one thing correct updating is supposed to be completely indifferent to.

240 logged decisions, and the 96 the media test can use. 96 BUYS 40.0% 84 SELLS 35.0% 36 SWITCHES 15.0% 24 PAUSES 10.0% EIGHT QUARTERS, 60 INVESTORS 96 + 84 + 36 + 24 = 240 THE SUBSET THAT CARRIES THE MEDIA TEST 41 of the 96 buys followed a media mention within three days, being 42.7 per cent Sells, switches and pauses are outside that test because a mention before a buy is what was recorded.
The log holds 96 buys, 84 sells, 36 switches and 24 pauses, and 41 of those buys followed a mention.

The last of those three rates is the only one with a base rate sitting beside it, and that comparison is what makes it worth reporting at all.

Three measured rates, and the one they have to be read against. written reason recorded 35.0 per cent taken within 48 hours of news 29.6 per cent buys after a mention 42.7 per cent any mention at all, in a week 11.0 per cent 3.9 times the base rate None of these rates shows that anybody updated incorrectly. They show how close the deciding sat to the moment the news arrived. Rates are 84 of 240, 71 of 240 and 41 of 96. The base rate is the share of the eligible list mentioned at all.
Buys following a media mention ran at 42.7 per cent, which is 3.9 times how often the list was mentioned at all.

What is being maximised, and what is it measured over?

The third assumption has two halves, and the second half is where the damage eventually comes from. The first half says the investor maximises expected utility, where utilityA number standing for how good an outcome is for a person. It only has to rank outcomes correctly; the size of the number means nothing on its own. is a number standing for how good an outcome is rather than how large it is. The second half says the input to that number is final wealth: the total held afterwards, not the gain or the loss from wherever the person happened to start.

The reason utility is not the same as money is that money is worth less to a person the more of it is already held. The first ceiling fan in a Chennai summer changes the household completely; the fourth one changes a spare bedroom. Because each additional rupee adds a little less satisfaction than the one before it, the utility curve rises quickly at first and then flattens, and that flattening produces caution towards risk automatically, without anybody being timid. A person with a flattening curve turns down an even bet with a positive average, not out of fear, but because the extra satisfaction on the winning side is smaller than the satisfaction given up on the losing side.

Work it through with the measurement in the log. The 60 investors were offered a certain Rs 5,000/- against a half chance of Rs 11,000/-. The expected value of the gamble is Rs 5,500/-, so on money alone the gamble wins. And yet 42 of the 60 took the certain Rs 5,000/-, being 70.0 per cent. Take a utility curve of wealth raised to the power 0.75, a standard flattening shape. The certainty equivalentThe sure amount that would feel exactly as good as taking the gamble. of that gamble is Rs 11,000/- multiplied by 0.5 raised to the power of one divided by 0.75. The certainty equivalent comes to Rs 4,365/-. Preferring the certain Rs 5,000/- is not a departure from the rational investor model at all: it is exactly what the model predicts once the curve is allowed to bend.

The stepThe workingValue
The gamble on offera half chance of Rs 11,000/-, and a half chance of nothingRs 11,000/-
Expected value in moneyhalf of Rs 11,000/-Rs 5,500/-
The certain alternativeoffered alongside it, no conditionsRs 5,000/-
Certainty equivalent at a curvature of 0.75Rs 11,000/- times 0.5 raised to the power one divided by 0.75Rs 4,365/-
What the model therefore predictsRs 5,000/- certain beats Rs 4,365/- in certain moneytake the Rs 5,000/-
A curve that flattens turns a Rs 5,500/- average into Rs 4,365/- of certain money. wealth held afterwards, in rupees utility THE UTILITY CURVE THE GAMBLE, AS A STRAIGHT LINE its midpoint is the average of the two ends, in utility CERTAINTY EQUIVALENT 4,365 5,000 5,500 11,000 The curve sits above the dashed line everywhere between the two ends. That gap is caution. Utility is wealth raised to the power 0.75. Figures invented.
The certain Rs 5,000/- sits to the right of the certainty equivalent of Rs 4,365/- and to the left of the Rs 5,500/- average, so a flattening curve picks the certain amount without anybody behaving oddly.
Half the money, but well over half the satisfaction. THE MONEY, Rs 11,000/- SPLIT IN TWO the first Rs 5,500/- 50.0 per cent the second Rs 5,500/- 50.0 per cent THE UTILITY OF THAT MONEY the first half delivers 59.5 per cent the second delivers 40.5 per cent the split moves 56.8 points to the right That shift is the whole of caution towards risk. Nothing timid has been added anywhere. Utility is wealth raised to the power 0.75, so u of Rs 11,000/- is 1,074.1 and u of Rs 5,500/- is 638.7.
Splitting Rs 11,000/- in half splits the money evenly and the satisfaction 59.5 against 40.5.
Financial Literacy Bootcamp — Fin Maverick

Why is what a holding cost treated as irrelevant?

The fourth assumption is the shortest to state and the hardest to live with. A decision is made only on what happens next, so the price already paid for something is information about the past and about nothing else. The past price is sunkAlready spent and unrecoverable, so logically irrelevant to what should happen next.: it has already gone, it will not come back whichever way the decision goes, and it therefore cannot change which future is better. The rational investor model does not say the price paid is unimportant emotionally; it says the price paid appears nowhere in the arithmetic of what to do now.

Everyone has met this outside finance. A hall has been booked and paid for, the wedding party has shrunk, and a smaller hall would now be better and cheaper on the night. The money already handed over does not come back in either case, so it cannot help decide between the two halls, and yet almost nobody can leave it out. Meera Sundaram, an investor in the Palash decision log, holds Kesari Logistics Limited, bought for Rs 3,00,000/- and worth Rs 1,95,000/- at the 30 September valuation. The only question the fourth assumption permits is whether Rs 1,95,000/- is better held where it is or somewhere else. The Rs 3,00,000/- appears in that question nowhere at all.

The same Rs 1,05,000/- read two ways, and only one of them is about the future. Rs 3,00,000/- WHAT WAS PAID Rs 1,95,000/- WHAT IT IS WORTH down 35.0 per cent Rs 1,05,000/- up 53.8 per cent to return the same Rs 1,05,000/- A FALL AND ITS RECOVERY are never the same percentage, because the base has changed. Kesari Logistics Limited at the 30 September valuation, invented. Arithmetic about the past, and not a reason to act.
A 35.0 per cent fall needs a 53.8 per cent rise to reach the price paid, because the base changed.

Setting the two branches beside each other makes the reason plain.

Two branches, and the number that appears identically on both. WHAT SHOULD HAPPEN TO THE Rs 1,95,000/- NOW? KEEP IT WHERE IT IS ALREADY PAID Rs 3,00,000/- COMES BACK EITHER WAY Rs 0/- WHAT DIFFERS where the Rs 1,95,000/- sits next MOVE IT SOMEWHERE ELSE ALREADY PAID Rs 3,00,000/- COMES BACK EITHER WAY Rs 0/- WHAT DIFFERS where the Rs 1,95,000/- sits next Two of the three rows read the same on both branches, so only the third can decide between them. The Rs 3,00,000/- is real, it is gone, and it is gone in exactly the same way whichever branch is taken.
The price already paid reads the same on both branches, so it cannot separate one branch from the other.
Portfolio Management Bootcamp — Fin Maverick

Why did economists build the model this way, and was that naive?

The order in which the pieces arrived explains why they look the way they do. Daniel Bernoulli, in 1738, in the paper later translated into English in Econometrica in 1954, proposed that a person values an outcome by how useful it is rather than by how much money it is. The flattening curve comes from that proposal. John von Neumann and Oskar Morgenstern, in Theory of Games and Economic Behavior in 1944, then proved something much stronger. If a person's preferences over gambles obey a short list of consistency conditions, then a utility number must exist such that the person behaves exactly as though maximising its expected value. The theorem is why the rational investor model is stated as assumptions about consistency rather than as a claim about anybody's psychology: the expected utility calculation is a consequence of the consistency conditions, not an extra belief bolted on beside them.

One thing assumed. Two things then proved, not assumed again. ASSUMED PREFERENCES OVER GAMBLES OBEY A SHORT LIST OF CONSISTENCY CONDITIONS PROVED A UTILITY NUMBER MUST EXIST FOR THAT PERSON PROVED THE PERSON BEHAVES AS THOUGH MAXIMISING ITS EXPECTED VALUE The expected utility calculation is a consequence of the conditions, never a fifth assumption bolted on beside them, which is why the model is stated as consistency rather than as psychology. John von Neumann and Oskar Morgenstern, Theory of Games and Economic Behavior, 1944.
Only the consistency conditions are assumed, and the expected utility rule follows from them as a result.

Paul Samuelson, writing in Economica in 1938, came at the same target from the other end with revealed preference: instead of asking what a person wants, infer the ranking from the choices actually made, and check whether those choices hang together. Revealed preference made the whole apparatus measurable from behaviour rather than from introspection, and measurement from behaviour is precisely what a science needs. None of the three authors claimed to be describing a mental process. Read them as engineering rather than as psychology. An engineer assumes a beam is uniform, not because beams are uniform, but because the assumption makes the bridge calculable and the error it introduces can be bounded and checked afterwards. The four assumptions were chosen on the same grounds, and calling that naive misreads what the authors thought they were doing.

Two centuries to assemble. Nine years to the first break. scale breaks here BERNOULLI 1738 SAMUELSON 1938 VON NEUMANN AND MORGENSTERN, 1944 KNIGHT, 1921 risk against not knowing ALLAIS, 1953 ELLSBERG, 1961 206 YEARS TO ASSEMBLE THE MODEL 9 years to the first break Above the line, the building. Below it, the breaking. Every paper is cited to its original publication.
The model took 206 years to assemble and nine more years before Allais broke a condition inside it.

How can one model be an excellent standard and a poor description?

A normative modelA model of how a decision should be made, used as a standard to measure against. says how a decision ought to be made and is judged by whether measuring against it teaches anything. A descriptive modelA model of how decisions are actually made, judged by whether it predicts them. says how decisions are actually made and is judged by whether it predicts what people do. The rational investor model passes the first test emphatically and fails the second one just as emphatically, and the two tests are separate enough that a verdict on one says nothing about the other.

A clock that runs four minutes fast every single morning is a poor description of the time and an excellent standard. Four minutes is a number that can be named, measured and corrected for. A clock that is wrong by a different random amount each morning is useless as both, because there is nothing to learn from it and nothing to correct. Departures from the rational investor model are the first kind. Departures of the first kind repeat, they run in the same direction, and they are large enough to measure. Each of them therefore ended up with a name and a literature rather than being filed as noise.

Wrong the same way every morning, against wrong a new way every morning. FOUR MINUTES FAST, EVERY MORNING MINUTES FAST OR SLOW +6 0 -6 mean +4.0 m1 m2 m3 m4 m5 m6 identical every morning, so subtract 4.0 WRONG BY A NEW AMOUNT EACH MORNING MINUTES FAST OR SLOW +6 0 -6 m1 m2 m3 m4 m5 m6 average 0.3, spread 13, nothing to subtract Illustrative readings over six mornings, invented for this figure. Only the left one can be corrected for.
A repeated error of exactly four minutes can be named and subtracted, while a scattered one cannot.
The same four assumptions, put to two different tests. AS A STANDARD TO MEASURE AGAINST JUDGED BY whether departures from it are informative THE VERDICT PASSES, AND HAS NOT BEEN BEATEN SO keep it, and measure the distance from it AS A DESCRIPTION OF PEOPLE JUDGED BY whether it predicts what people do THE VERDICT FAILS, AND FAILS REPEATEDLY SO stop reading it as a picture of anybody A model can hold one of these jobs well and the other badly at the same time.
Judged as a standard the rational investor model passes, because departures from it repeat and can be measured, and judged as a description of people it fails just as clearly.
Try it out

A model predicts almost nobody correctly, but every departure from it repeats in the same direction. Good model or bad?

Where did the assumption first break, and who broke it?

Maurice Allais, writing in Econometrica in 1953, set out a pair of choices and then watched what people did with them. In the first pair, most people take a certain amount over a gamble with a slightly higher average. The flattening curve is behaving there exactly as designed. In the second pair, built by scaling every probability down by the same common factor, most of the same people switch and take the gamble. The switch is the problem. The common part is shared and cancels out, so the consistency conditions of von Neumann and Morgenstern imply that scaling both sides by a common factor cannot reverse a ranking. Maurice Allais did not show that people are bad at arithmetic; he showed that a consistency condition the theory treats as too obvious to argue about is one that most people violate deliberately, and go on violating after the violation has been explained to them.

Daniel Ellsberg, in the Quarterly Journal of Economics in 1961, attacked a different joint. Offer a bet on a container whose composition is stated, and the same bet on a container whose composition is not stated, and people pay to stay with the stated one. People do it on both colours at once, and that is the part no assignment of probabilities can absorb. Preferring the known container on red and also on black implies two incompatible beliefs about what is inside the unknown one. Frank Knight had already separated risk, where the odds are known, from uncertainty, where they are not, in Risk, Uncertainty and Profit in 1921. Daniel Ellsberg turned that distinction into a measurement by showing people will pay real money to avoid not knowing, and the expected utility calculation has nowhere to put that payment.

Two chances, each pushed under one half, that still have to add to one. RED 0.000 0.500 1.000 somewhere in this band ruled out by the choice BLACK 0.000 0.500 1.000 somewhere in this band ruled out by the choice THE IMPLIED CHANCE IN THE CONTAINER WHOSE COMPOSITION IS NOT STATED But the two must add to exactly 1.000, and two numbers each under 0.500 cannot reach it. That is the contradiction, and no single assignment of odds removes it. Daniel Ellsberg, Quarterly Journal of Economics, 1961. Structure only, with no amount from the paper reproduced.
Choosing the stated container on both colours pushes both implied chances under 0.500, which cannot total 1.000.
Two experiments, two different joints in the same model. ALLAIS, 1953 the same person, asked twice PAIR ONE a certain amount MOST TAKE THIS a gamble worth slightly more on average PAIR TWO, EVERY CHANCE SCALED DOWN BY ONE FACTOR a small chance of the certain amount the scaled gamble MOST SWITCH TO THIS The shared part was meant to cancel, so the switch was not supposed to be possible. ELLSBERG, 1961 two containers, the same bet on colour COMPOSITION STATED the split is known CHOSEN, AND PAID FOR COMPOSITION NOT STATED nothing is disclosed avoided, on both colours people pay to move this way Preferring the stated container on red and on black at once implies two beliefs that cannot both be held about one container. Structures only. The original amounts and odds in each paper are not reproduced here.
Allais broke the condition that a shared component cancels out, and Ellsberg broke the idea that unknown odds can be replaced by a personal estimate and then handled the same way.
Try it out

Ellsberg showed that people pay to avoid a bet whose odds are unknown, even when the known-odds bet is no better. What does that break?

What does one real decision look like when all four are checked against it?

On 12 October, Meera Sundaram sold Suvarna Chemicals Limited whole at Rs 4,60,000/- against a cost of Rs 4,00,000/-, booking Rs 60,000/- and a gain of 15.0 per cent. She kept Kesari Logistics Limited, then worth Rs 1,95,000/- against a cost of Rs 3,00,000/-, and said she would sell it when it got back to Rs 3,00,000/-. Both entries come from the Palash decision log. Now run the four assumptions down that pair, one at a time, instead of reaching for a verdict about the person.

Both entries sit inside a holding of four positions, and the shape of that holding is worth seeing before the assumptions are checked against it.

Four positions on 30 September, cost against value. HEIGHTS IN RUPEES, L MEANING A LAKH cost value at 30 September 3.00L 3.36L VINDHYA up 12.0 per cent 3.00L 2.55L NILGIRI down 15.0 per cent 4.00L 4.60L SUVARNA up 15.0 per cent SOLD ON 12 OCTOBER 3.00L 1.95L KESARI down 35.0 per cent KEPT Cost Rs 13,00,000/-, value Rs 12,46,000/-, down Rs 54,000/- and 4.2 per cent. Invented figures throughout.
The position sold on 12 October was the second largest gainer and the one kept was the largest faller.

Her preferences are complete and transitive: she can rank the four holdings against each other and does so without hesitating. She updates on evidence: she reads every statement she is sent, and she read both of these before deciding. She is not indifferent to risk, which the third assumption expects rather than forbids. The Rs 3,00,000/- doing all the work in her sentence is a purchase price, and a purchase price is a fact about the past, so the fourth assumption is the only one that fails and it fails completely. Three assumptions held and one broke. One broken assumption out of four is what a relaxation looks like from the inside, and it is the reason the whole model does not get discarded when a decision like this one turns up.

One entry. Four checks. Three held, one broke. PALASH DECISION LOG, INVENTED DATE 12 October ACTION sell, whole position HOLDING Suvarna Chemicals Limited COST Rs 4,00,000/- PROCEEDS Rs 4,60,000/- BOOKED Rs 60,000/-, being 15.0 per cent NOTE Kesari Logistics Limited retained. Will sell when it gets back to Rs 3,00,000/-. 1 ranks the four holdings consistently HELD 2 read both statements before deciding HELD 3 cautious, which the model expects HELD 4 the Rs 3,00,000/- is a past price BROKEN Meera Sundaram, Suvarna Chemicals Limited and Kesari Logistics Limited are invented. Figures illustrative.
Checked line by line against one logged decision, the first three assumptions hold and only the fourth breaks, which is what makes the four worth separating in the first place.
AssumptionWhat the entry of 12 October showsVerdict
Complete, transitive and stable preferencesMeera Sundaram ranks the four holdings against each other and the ranking holdsHeld
Probabilities updated correctlyboth statements were read before the decision was takenHeld
Expected utility over final wealthshe is cautious, which a flattening curve produces rather than forbidsHeld
Only the future mattersthe Rs 3,00,000/- in her sentence is the price she paid, not a fact about what happens nextBroken
Try it out

Meera Sundaram ranks her four holdings consistently and reads every statement she is sent. Which assumptions is she keeping?

What does avoiding the risk cost, stated in money?

The certainty equivalent turns caution into a number instead of a mood. The certainty equivalent is the sure amount that would feel exactly as good as taking the gamble, so the gap between the certainty equivalent and the expected value is what somebody pays to be rid of the uncertainty. At a curvature of 0.75 the certainty equivalent of the half chance of Rs 11,000/- is Rs 4,365/-. The expected value is Rs 5,500/-. The gap of Rs 1,135/- is the price of avoiding the risk, and once it is written as a figure it can be compared with the price of avoiding some other risk instead of being argued about.

The curvature is the only thing being changed. Straighten the curve to 1.00 and the certainty equivalent rises to Rs 5,500/-, the expected value itself. Being indifferent to risk simply means having a straight line. Bend the curve to 0.50 and the certainty equivalent falls to Rs 2,750/-, which is a quarter of Rs 11,000/- rather than a half. The certain Rs 5,000/- on offer wins for every curvature below about 0.88, and that crossing point is the whole content of the choice that 42 of the 60 investors in the log made.

Try it out

The gamble is worth Rs 5,500/- on average against a certain Rs 5,000/-. Before the control is moved: at a curvature of 0.75, what is the gamble worth in certain money?

Play with it

Bend the curve and watch the certain amount win

One variable moves: the curvature of the utility curve, from 0.30 to 1.00. Everything else is held still. The gamble is always a half chance of Rs 11,000/- and the alternative is always a certain Rs 5,000/-.

0.30, sharply bent0.751.00, a straight line
What the gamble is worth in certain money, at each curvature. 0 2,000 4,000 6,000 EXPECTED VALUE, Rs 5,500/- THE CERTAIN OFFER, Rs 5,000/- they cross at 0.88 Rs 4,365/- 0.30 0.50 0.70 0.90 1.00 curvature of the utility curve
Curvature, what moves
0.75
Certainty equivalent
Rs 4,365/-
Held constant, the certain offer
Rs 5,000/-
Price of avoiding the risk
Rs 1,135/-

At a curvature of 0.75 the half chance of Rs 11,000/- is worth Rs 4,365/- in certain money, so the certain Rs 5,000/- is preferred by Rs 635/-.

Educational illustration. Utility is a power function of final wealth, the gamble is exactly even odds, and losses are left out of the model. The failure described below turns on exactly that omission. Figures in whole rupees, invented throughout.
From the average to the certain money: what the curve takes off. Rs 5,500/- expected value half of Rs 11,000/- Rs 1,135/- the price of avoiding the risk at a curvature of 0.75 Rs 4,365/- certainty equivalent what it is worth for sure THE CERTAIN Rs 5,000/- ON OFFER The certain Rs 5,000/- sits inside the red band, which is exactly why it wins.
The expected value of Rs 5,500/- falls to a certainty equivalent of Rs 4,365/- at a curvature of 0.75, and that gap of Rs 1,135/- is what avoiding the risk costs.
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Does departing from the model mean somebody decided badly?

No, and this is where the whole subject area turns. The same 60 investors in the log were asked a second question on the same afternoon. In gains, 42 of the 60 took a certain Rs 5,000/- over the half chance of Rs 11,000/-, being 70.0 per cent, and a flattening curve predicts that exactly. In losses, 39 of the 60 took a half chance of losing Rs 11,000/- over a certain loss of Rs 5,000/-, being 65.0 per cent. Hold the same curvature of 0.75 that explained the first answer and it predicts the certain loss should have been preferred. The curve that gets the gain question right gets the loss question wrong, and it is the same 60 people, the same room and the same afternoon.

The same 60 people. The same afternoon. Two opposite answers. IN GAINS: a certain Rs 5,000/- against a half chance of Rs 11,000/- 42 of 60 took the certain amount, being 70.0 per cent. A curve of 0.75 predicts exactly this. IN LOSSES: a certain loss of Rs 5,000/- against a half chance of losing Rs 11,000/- 39 of 60 took the gamble, being 65.0 per cent. The same curve of 0.75 predicts the opposite. ONE CURVE, TWO INCOMPATIBLE DEMANDS To produce the top row, the curve has to flatten as wealth rises. To produce the bottom row, it has to steepen below where the person started. A function of final wealth has one shape, and does not know where the start was. The Palash decision log is invented. Every figure here is illustrative.
Forty two of sixty avoided the gamble in gains and thirty nine of sixty took it in losses, and no single curve over final wealth can deliver both of those answers.

The error that gets made, and what it costs

The error is reading a departure from the rational investor model as evidence that somebody is foolish. The error gets made by an adviser scanning a client log for things to correct, and it gets made just as often by a person reading back their own decisions and deciding they are hopeless with money. Both readings are wrong on the arithmetic. Of the 60 investors in the log, 42 took the certain Rs 5,000/- over a gamble worth Rs 5,500/- on average. At a curvature of 0.75 that gamble is worth Rs 4,365/- in certain money, and Rs 4,365/- is less than Rs 5,000/-, so every one of those 42 sits comfortably inside the model.

One curve cannot produce both the 42 of 60 in gains and the 39 of 60 in losses. The impossibility is the finding, and it is a finding about the model rather than about the people. The model did not fail because anybody was careless; it failed because one function of final wealth cannot bend two ways at once.

The error costs precision. An adviser who concludes the client is irrational has learned nothing usable and has damaged the conversation. An adviser who works out that three assumptions held and the fourth broke knows exactly which sentence to ask about next. The first reading produces a lecture; the second produces a question.

One concave curve predicts the same answer twice. The log agrees once. THE QUESTION WHAT THE CURVE PREDICTS WHAT THE 60 DID IN GAINS a certain Rs 5,000/- against a half chance of Rs 11,000/- take the certain amount in both rows, the same 42 of 60 took the certain amount 70.0% the prediction holds IN LOSSES a certain Rs 5,000/- loss against a half chance of losing Rs 11,000/- take the certain loss in both rows, the same only 21 of 60 took the certain loss 35.0% the prediction fails A function of final wealth has one shape, so it cannot say caution here and chance-taking there. Same 60 people, same afternoon, two questions. Every figure belongs to the invented log.
The curve predicts the certain amount in both rows, and only the gains row matches what the 60 chose.
Try it out

Why can one utility curve not explain both the 42 of 60 and the 39 of 60?

One curve cannot fit both answers. See what the model locates instead.

How does an adviser use a model that describes nobody?

Devika Rao, the adviser at Palash Advisory Services Private Limited, does not use the four assumptions to decide whether Meera Sundaram is rational. She uses them as a locator. A client who says she will sell when it gets back to what she paid has said something precise about the fourth assumption and nothing whatever about the other three, and the useful next question follows from that: what would have to be true about the next twelve months for holding Rs 1,95,000/- here to beat holding it anywhere else? Inside an advice conversation the model converts a vague worry about somebody into a located one, and a located worry is the difference between a conversation that can go somewhere and one that cannot.

Four sentences, four assumptions, four different next questions. WHAT THE CLIENT ACTUALLY SAID POINTS AT SO THE NEXT QUESTION IS I keep changing which one I like best 1 which ranking would the client hold to? I saw it on the news last night 2 what would the client have thought without it? I could not sit through a swing like that 3 what size of swing can the client sit through? when it gets back to what I paid 4 what would the client do if it had never been held? The fourth row is the one the log actually contains, and it names one assumption rather than the person. A written reason appears on only 84 of the 240 logged decisions, being 35.0 per cent, so the sentence is usually asked for.
Each sentence points at exactly one assumption, which turns the model into a locator rather than a verdict.

For a person deciding alone, with no adviser and no committee, the same four lines work as a private check. The sentence that is actually driving the decision is written down, in the words it would take when spoken to a friend, and then matched to whichever of the four assumptions it is about. A sentence about ranking is about the first. A sentence about news is about the second. A sentence about how much it would sting is about the third. A sentence containing a price once paid is about the fourth, every time. The check takes a minute and it does not require calm, information or unusual discipline, which is the only reason it survives contact with a real week. Where somebody is deciding on behalf of other people, conduct and suitability duties apply on top of all of this, and the source for those is the Securities and Exchange Board of India at sebi.gov.in.

Try it out

Given everything above, is the rational investor model likely to be abandoned?

What survives the relaxation, and what does not get replaced?

The relaxation is narrow. The second half of the third assumption goes: the input to the utility number stops being final wealth alone and starts including where the person began. Nothing in Allais or Ellsberg or the Palash log gives any reason to abandon the idea that preferences should hang together, or the idea that evidence should be weighed by its diagnostic power, so everything else on the list stays exactly where it was. Relaxing an assumption means replacing one line and keeping the rest, and a reader who hears that the rational investor model was overthrown has been told something that is not true about any of the papers involved.

The benchmark survives for a reason that is easy to state and easy to forget. Every finding in behavioural finance is defined as a departure from this model, so discarding it would leave the findings with nothing to be findings about. The word that does get retired is the word rational used as a verdict on a person. The word was never doing that job. The word named a short list of consistency conditions, and a person can fail one of them while being thoughtful, well informed and entirely reasonable about their own life.

One more test decides whether a departure is worth naming at all, and it is not the size of the departure. A departure that happens once and in no particular direction is scatter. A departure that happens in the same direction every time is a mechanism, and only the second is worth a name. One decision by Meera Sundaram on 12 October is therefore an illustration and not evidence. One case is never evidence that a rule works. The departures turned into a subject because they repeated, in the same direction, across many people who had never met each other.

The test is not how large the departure was. It is whether it repeats. A DECISION DEPARTS FROM THE MODEL it happens once, in no particular direction SCATTER nothing to name or study it happens in the same direction every time A MECHANISM worth naming and measuring One decision by one person is an illustration. It is never evidence that a rule works.
A departure that repeats in the same direction becomes a mechanism worth naming, and a departure that happens once in no particular direction stays scatter.
Each named bias is taken separately under heuristics and biases, with its own measurement and its own original paper. The structure that replaces the utility function is prospect theory, set out by Daniel Kahneman and Amos Tversky in Econometrica in 1979 and taken separately under that name. Whether prices are efficient is a claim about markets rather than about people, and belongs under market efficiency.

Sources

SourceDocumentSite
Daniel Bernoullithe 1738 paper in which expected utility first appears, translated in Econometrica, 1954ssrn.com
John von Neumann and Oskar MorgensternTheory of Games and Economic Behavior, 1944cited to the book itself
Paul Samuelsonthe revealed preference paper, Economica, 1938ssrn.com
Frank KnightRisk, Uncertainty and Profit, 1921cited to the book itself
Maurice Allaisthe paper setting out the choice pair now named after him, Econometrica, 1953ssrn.com
Daniel Ellsbergthe paper separating known odds from unknown odds, Quarterly Journal of Economics, 1961ssrn.com
Daniel Kahneman and Amos Tverskythe 1979 paper setting out prospect theory, Econometricassrn.com
Securities and Exchange Board of Indiainvestor protection and conduct requirements applying to registered intermediariessebi.gov.in

Meera Sundaram, Devika Rao, Palash Advisory Services Private Limited, the Palash decision log, the Palash 100 index, the Vindhya index scheme, the Nilgiri mid-cap scheme, Suvarna Chemicals Limited and Kesari Logistics Limited are invented.
Educational material. Not advice on any investment, tax, budget or market position.

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