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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
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Lottery Preferences: Buying the Payoff Rather Than the Asset

A lottery preference is a willingness to pay more for the shape of a payoff than its average is worth. Small stated chances get used above face value, so a small chance of a very large gain carries a premium the arithmetic does not support. Used that way on a single tail, one small chance produces speculative demand and explains why the demand lands on a few holdings rather than all of them.

Almost everybody who meets this subject reaches for a mood to explain it. Somebody got excited, somebody got greedy, somebody was chasing a thrill. Set the mood aside, and a single measured fact about arithmetic carries the explanation a long way instead. The fact is that people do not use a stated chance at face value, and the direction of the distortion depends on how small the chance is. Take that seriously and a premium for a small chance of a very large gain falls out of it, with nobody having to be foolish, excited or in any particular state of mind at all.

One fact, and three things that follow from it. Read left to right. Nothing in the sequence needs anybody to be excited or careless. 1 a small stated chance is used above face value 2 so a concentrated payoff is worth more than average 3 which is a component of a price, not of a mood 4 and it lands only where the shape is, not on all Step one is inherited from elsewhere. Steps two, three and four are the work of this guide.
One inherited fact about stated chances is followed by three consequences, and set out in order the argument turns out to be a short one.

What is a lottery preference, stated as a shape rather than a mood?

A distinction the word lottery usually hides comes first. A lottery ticket is not attractive because of what it costs, and it is not attractive because of what it averages. A ticket is attractive because of the way its value is arranged across the possible outcomes: nearly all of that value sits in one outcome which nearly never happens, and the rest of the outcomes are flat and empty. The spread of value across the outcomes is the payoff shapeHow a return is spread across the possible outcomes, as against what it averages out to., and a lottery preferencePaying more for a small chance of a large gain than its average is worth. is a preference over that arrangement rather than over the average it works out to.

The same preference appears outside money, and it is worth meeting there first. A school fair sells raffle tickets at Rs 100/- each, two hundred tickets in all, one prize of Rs 20,000/-. The stall beside it sells a discount book at Rs 100/- that saves an ordinary buyer about Rs 100/- across the year. The raffle works out like this: Rs 20,000/- shared over two hundred tickets is Rs 100/- a ticket on average, so the two stalls are offering exactly the same average. The queue is always longer at one of them, and it is never the discount book. Nothing separates the two stalls except how the value is arranged, so whatever is driving the longer queue is a preference about arrangement.

Two stalls, one average, and only one queue worth joining. Both give back Rs 100/- on average for a Rs 100/- outlay. Work the raffle out before reading further. THE DISCOUNT BOOK Rs 100/- to buy, saves about Rs 100/- across the year, every buyer alike average back: Rs 100/- THE RAFFLE TICKET Rs 100/- a ticket, two hundred tickets, one prize of Rs 20,000/- average back: Rs 20,000/- over 200, so Rs 100/- a short queue a much longer one, on identical averages The two queue bars are illustrative and measure nothing: one is drawn four times the other to make the point visible.
Two stalls with exactly the same average return attract different demand, which places the whole mechanism outside finance before a single rupee of it is worked.

The same thing stated in payoffs gives the numbers the rest of this guide works on. Two payoffs both average Rs 12,000/-. The first pays Rs 24,000/- half the time and nothing the other half, and half of Rs 24,000/- is Rs 12,000/-. The second pays Rs 2,40,000/- one time in twenty and nothing the other nineteen times, and one twentieth of Rs 2,40,000/- is also Rs 12,000/-. Every average matches. Every shape differs. Neither payoff is drawn from the Palash decision log, an invented record of what sixty people decided over eight quarters, and nothing in that log has the second shape in it at all. Payoffs arranged that way are rare, and the rarity is the point the whole argument turns on.

Same average. Completely different shape. Height is the amount paid. Width is the chance of being paid it. The shaded area is therefore the average. PAYOFF ONE, SPREAD ACROSS A LIKELY OUTCOME PAYOFF TWO, CONCENTRATED IN AN UNLIKELY ONE Rs 24,000/- area = Rs 12,000/- Rs 2,40,000/- one time in twenty area = Rs 12,000/- half the time the other half, nothing nineteen times in twenty, nothing Vertical scale: one pixel of height is Rs 800/-. Both shaded blocks measure 4,500 square pixels, which is Rs 12,000/- in each panel.
Drawing amount as height and chance as width makes the two averages literally the same shaded area, so the only thing left separating the payoffs is how that area is arranged.
Try it out

What is being bought when somebody shows a lottery preference?

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Which part of prospect theory does the premium actually come from?

Prospect theory, set out by Daniel Kahneman and Amos Tversky in Econometrica in 1979, carries three separable components, and only the third is doing any work here. The first is the reference point. Gains and losses are measured from wherever a person started rather than from zero. The second is the shape of the value curve, steeper for losses than for gains. The measured coefficient of 2.2 in the Palash cohort comes from that steepness. The third is probability weightingUsing a stated chance at more or less than its face value when a decision is worked out.: a stated chance is not used at face value when a person works out what something is worth to them. Only the third component does any work in the premium.

Two things make that borrowing narrow enough to be safe. First, both payoffs above have exactly one outcome that pays and one that pays nothing, so exactly one chance has to be weighted and there is nothing to argue about regarding the rest. Second, the outcome being weighted is a gain, so the reference point and the steepness of the loss side never enter. Prospect theory stripped down to its third component and applied to a single tail supplies every ingredient the premium needs and not one ingredient more. The overweightingTreating a small stated chance as though it were larger than it is. of a small chance is the whole of the mechanism from here on.

Three components. This guide borrows exactly one of them. THE COMPONENT WHAT THIS GUIDE DOES WITH IT 1 THE REFERENCE POINT outcomes are measured from where a person started inherited, and not rebuilt here 2 THE VALUE CURVE AND ITS STEEPER LOSS SIDE the measured coefficient in the cohort is 2.2 inherited, and not rebuilt here 3 THE WEIGHTING OF A STATED CHANCE a chance is used at more or less than face value applied here, to one tail only The green row is the only borrowing. Rows one and two are named to show what is being left alone.
Only the third component of prospect theory is applied here, and drawing the other two as untouched shows how narrow the borrowing is.
Two outcomes. Exactly one chance to weight. This is why the borrowing from prospect theory stops at one component and one tail. THE OUTCOME THAT PAYS Rs 2,40,000/-, chance 5 per cent THE OUTCOME THAT PAYS NOTHING Rs 0/-, chance 95 per cent the only chance that has to be weighted nothing multiplied by any weight is nothing Because the paying outcome is a gain, the reference point and the loss side of the value curve never come into it.
A payoff with one paying outcome leaves exactly one chance to be weighted, which is what keeps the borrowing from prospect theory down to a single component.
Try it out

Which component of prospect theory does this guide apply to produce the premium?

How far above face value is a small chance actually used?

A number has to be put on the distortion, and the number has to come from somewhere honest. The curve drawn here was chosen to show the shape clearly rather than measured from any market, survey or paper, and no reading taken off it is anybody's estimate of the truth. The shape, though, is not controversial: small stated chances get used above face value, large ones get used below, and there is a crossingThe chance at which weighting turns from over to under, so a stated chance is used at exactly face value. somewhere in between.

Read the four anchor points off the curve and then divide. A true 1 per cent is used as 5.5 per cent, or 5.50 times face value. A true 5 per cent is used as 13.0, or 2.60 times. A true 10 per cent is used as 19.0, or 1.90 times. And a true 50 per cent is used as 42.0, or 0.84 times, and 0.84 is below one. The multiple is not a constant lift of a few points; it collapses from more than five times to less than one as the chance grows, and it passes through one on the way. The passing through one is the whole of the mechanism, and everything else in this guide is a consequence of it.

The tails lift. The middle sags. They meet once. Both axes run 0 to 50 per cent on the same scale, so the straight line is exactly where a chance is used at face value. 0 10 20 30 40 50 USED CHANCE, PER CENT the curve, invented and illustrative the line where used equals true they meet at about 34 per cent 10 20 30 40 50 true chance of the large payoff, per cent TRUE 1 PER CENT TRUE 5 PER CENT TRUE 10 PER CENT TRUE 50 PER CENT used as 5.5 used as 13.0 used as 19.0 used as 42.0 5.50 times face value 2.60 times face value 1.90 times face value 0.84 times, below it
Small chances sit above the line where used equals true and large ones sit below it, and the single crossing at about a third is what separates a payoff that attracts a premium from one that attracts a discount.
Try it out

A true chance is 1 per cent. Before the control below is touched: is it used above or below face value, and roughly by how much?

Play with it

Move the true chance and watch where it gets used

One variable moves: the true chance that the large payoff arrives, from 1 per cent to 50. One consequence follows: the chance as it is actually used. The straight line is where the two would be equal. Read the four anchor points without moving anything: a true 1 per cent is used as 5.5, a true 5 as 13.0, a true 10 as 19.0 and a true 50 as 42.0. Those readings are 5.50, 2.60, 1.90 and 0.84 times face value, and the curve meets the line at about a third.

1 per cent, a rare payoff550 per cent, a coin toss
The used chance, at the true chance chosen on the control. the curve, invented and illustrative the line where used equals true 13.0 5 Both axes run 0 to 50 per cent on the same scale and the faint lines mark every 10 points, so the straight line is face value. true chance of the large payoff, per cent, against the used chance up the side
True chance, what moves
5
Used as
13.0
Times face value
2.60
The gap, in points
8.0 above

A true chance of 5 per cent is used as 13.0 per cent on this invented curve, which is 2.60 times face value, so a payoff whose whole value sits in that one unlikely outcome is worth more to a buyer than its average.

Educational illustration. The curve was drawn to show the shape rather than measured from anywhere, and it is the same drawn curve at every setting of the control. Only one thing moves; the curve itself never changes. Rupee amounts elsewhere in this guide are held in whole rupees.
Try it out

At a true 50 per cent the chance is used as 42.0. What does that show?

The multiple moves faster than the curve makes obvious, so look at it on its own for a moment. Between a true 1 per cent and a true 10 per cent the used chance only climbs from 5.5 to 19.0, and the climb does not look dramatic. The multiple over the same stretch falls from 5.50 times to 1.90 times, and a fall of that size is a collapse. The premium available for a payoff shape is largest exactly where the chance is smallest, and it drains away long before the chance becomes ordinary. An asset bought for its payoff shape therefore has to have a genuinely remote large outcome in it, not merely an uncertain one.

How many times face value a stated chance is used at. 5.50 times 2.60 times 1.90 times 0.84 times 0.5 1.0 2.0 5.0 FACE VALUE, ONE TIMES 1 5 10 50 true chance of the large payoff, per cent, spaced by tenfold steps The upright scale is compressed so that 0.84 and 5.50 both fit; the crossing of the red line is the only reading that matters.
The multiple falls from 5.50 times face value to 0.84 and passes through one on the way, which is the entire mechanism reduced to a single descending column.

Why is the premium paid rather than merely felt?

A feeling leaves no record. Somebody can be thrilled by a payoff, talk about it all evening and put no money anywhere, and nothing measurable has happened. A price is different in kind. When a buyer hands over more than a payoff averages, the excess is a completed transaction: it has a date, an amount, a counterparty and a receipt. A completed transaction is the whole reason the mechanism can be studied at all rather than merely asserted, and it is the reason the premium can be stated in rupees.

The concentrated payoff worked through the curve gives the number. The true chance is 5 per cent and the curve uses it as 13.0 per cent, so a buyer running on that used chance values the payoff at 0.130 multiplied by Rs 2,40,000/-, or Rs 31,200/-. The payoff averages Rs 12,000/-. The difference is Rs 31,200/- less Rs 12,000/-, or Rs 19,200/-. The premium is that Rs 19,200/-, a payment rather than a mood, and a payment is something a researcher can count. Nicholas Barberis and Ming Huang, in Stocks as Lotteries in the American Economic Review in 2008, built asset demand out of precisely this step, and Alok Kumar, in Who Gambles in the Stock Market in the Journal of Finance in 2009, went looking for where the preference showed up in what people actually held.

RECORD OF ONE PURCHASE, INVENTED FOR TEACHING What was bought a 5 per cent chance of Rs 2,40,000/- The average of that payoff Rs 12,000/- The used chance, read off the curve 13.0 per cent What a buyer on that used chance pays Rs 31,200/- The premium, paid rather than felt Rs 19,200/- 0.130 multiplied by Rs 2,40,000/- is Rs 31,200/-, and Rs 31,200/- less Rs 12,000/- is Rs 19,200/-. Every amount here is invented.
Written out as a record rather than a description, the premium becomes one line with an amount on it, which is what makes the preference countable instead of merely arguable.

What is Speculative Demand, and what is being demanded?

Speculative demandDemand for a holding that comes from the shape of its payoff rather than from the cash it is expected to produce. is demand for a holding that comes from the shape of what it might pay rather than from the cash it is expected to produce. The word is often used loosely to mean enthusiasm. Enthusiasm is just a restatement of the fact that somebody bought, so used that way the word explains nothing. Used precisely, it names a component of a price, and a component of a price is something that can be added up, subtracted out and argued about with numbers.

Split into two parts, a price stops being vague. One part is the value of the expected cash, here the average of Rs 12,000/-. The other part is the value carried by how the outcomes are spread, over and above the average, here Rs 19,200/-. Together they give the Rs 31,200/- a buyer running on the used chance would pay. The same split runs on the spread payoff. Its true chance of 50 per cent is used as 42.0, so the buyer values it at 0.420 multiplied by Rs 24,000/-, or Rs 10,080/- against an average of Rs 12,000/-. The shape component is positive on the payoff whose value sits in an unlikely outcome and negative on the payoff whose value sits in a likely one. Speculative demand is therefore a statement about arrangement and not about mood. A concentrated payoffA return whose value sits mostly in one unlikely outcome rather than being spread across likely ones. collects a premium; a spread one collects a discount of Rs 1,920/-.

A price in two parts: the average, and what the shape adds or takes away. THE AVERAGE OF BOTH PAYOFFS, Rs 12,000/- PAYOFF TWO, CONCENTRATED IN AN UNLIKELY OUTCOME Rs 12,000/- the premium, Rs 19,200/- worth Rs 31,200/- to the buyer PAYOFF ONE, SPREAD ACROSS A LIKELY OUTCOME Rs 10,080/- worth Rs 10,080/- to the buyer the discount, Rs 1,920/- Horizontal scale: one pixel is Rs 100/-, so Rs 31,200/- is drawn 312 pixels wide and Rs 10,080/- is drawn 101. All amounts invented.
Splitting each price into an average and a shape component makes speculative demand a number that can be added or subtracted rather than a word for enthusiasm.

Hold the average fixed at Rs 12,000/- and change nothing but the concentration, and the buyer's value moves a long way. A 1 per cent chance of Rs 12,00,000/- averages Rs 12,000/- and is valued at Rs 66,000/-. A 5 per cent chance of Rs 2,40,000/- averages the same and is valued at Rs 31,200/-. A 10 per cent chance of Rs 1,20,000/- comes to Rs 22,800/-, and the 50 per cent chance of Rs 24,000/- comes to Rs 10,080/-, below the average it started from.

Same average every time. Only the concentration changes. Bar length is what a buyer running on the used chance would pay for a payoff averaging Rs 12,000/-. true 1 per cent true 5 per cent true 10 per cent true 50 per cent Rs 66,000/- Rs 31,200/- Rs 22,800/- Rs 10,080/- THE AVERAGE OF EVERY PAYOFF HERE, Rs 12,000/- Horizontal scale: one pixel is Rs 120/-, so Rs 66,000/- is drawn 550 pixels wide and Rs 10,080/- is drawn 84. The four payoffs are Rs 12,00,000/-, Rs 2,40,000/-, Rs 1,20,000/- and Rs 24,000/-, at 1, 5, 10 and 50 per cent.
Four payoffs with identical averages are valued from Rs 66,000/- down to Rs 10,080/- purely by how concentrated they are, and only the last falls below the average.
Try it out

What is actually being demanded in speculative demand, stated precisely?

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Why does the demand concentrate in a few holdings rather than spreading?

One observation decides whether a separate mechanism is worth naming at all. If a premium simply appears wherever people are keen, it would show up almost everywhere at once and would be another word for a good mood. The premium instead lands hard in a few places and leaves everything else alone, and the landing is what needs explaining. The weighting account answers that in one line: the premium attaches to the shape, and very few things have the shape. Most payoffs are the boring kind, spread across outcomes that are individually quite likely, and on those the same curve produces a discount rather than a premium.

Take it to a street first. Ten stalls at a fair sell ten sensible things and one sells raffle tickets. The queue does not lengthen at all eleven stalls on a cheerful afternoon in proportion to the cheer; it lengthens at the one stall whose product has the arrangement in it. A mood would have to lift everything, and a shape can only lift the few things that have it. Concentration is therefore the observable signature of a shape-based mechanism. A signature like that is a prediction that can be checked rather than a story that can only be agreed with.

One caution belongs here, and the Palash decision log supplies it. Of the 96 buys in that invented log, 41 followed a media mention within three days, being 42.7 per cent, against roughly 11.0 per cent of the eligible list being mentioned in a given week at all. A crowd around a mentioned holding is also a concentration, and it has nothing to do with payoff shape: it is a concentration of attention, a separate mechanism with its own measurement. Two different causes can leave the same footprint of a few holdings attracting a crowd, and the only honest thing to do is to keep them apart rather than let one borrow the other's evidence.

Twelve holdings. Two accounts. Only one of them is selective. Bar height stands for the premium each holding attracts. The tall bars are 40 pixels and the flat ones are 4. IF A MOOD WERE DOING IT, EVERY HOLDING WOULD LIFT TOGETHER Twelve lifts, and nothing distinguishes one holding from another. WHAT THE SHAPE ACCOUNT PREDICTS: ONLY THE FEW THAT HAVE THE SHAPE shape shape Two lifts of forty pixels and ten of four, which is a pattern that can be looked for.
A mood account has to lift all twelve holdings together while a shape account lifts only the two that carry the arrangement, which is a difference anybody can go and count.
Try it out

Why does speculative demand land on a few holdings instead of lifting everything?

Two accounts of the same premium, and where they part company. THE TEST AN EXCITEMENT ACCOUNT THE WEIGHTING ACCOUNT Offer a spread payoff with the same average, same afternoon no particular view, since the mood is the same either way a discount: Rs 10,080/- set against an average of Rs 12,000/- Ask which holdings attract the premium at all all of them together, whenever the mood lifts only the few with the shape, and the rest are untouched Ask what would remove the premium a calmer mood, and nothing else needs to change a change of shape, whatever the mood happens to be doing The first row is the sharp one, because only there do the two accounts disagree about something that can be put on a table.
Excitement and weighting agree about enthusiasm but disagree about a spread payoff with the same average, and that single disagreement is what makes the question decidable.
One person, one afternoon, two departures in opposite directions. Both payoffs average Rs 12,000/-. Everything drawn here is the distance from that average. THE CONCENTRATED PAYOFF, BOUGHT AT Rs 31,200/- a premium of Rs 19,200/- THE SPREAD PAYOFF, BOUGHT AT Rs 10,080/- a discount of Rs 1,920/- THE AVERAGE OF BOTH, Rs 12,000/- Horizontal scale: one pixel is Rs 50/-, so Rs 19,200/- is drawn 384 pixels wide and Rs 1,920/- is drawn 38.
The same person departs from the same average in both directions on the same afternoon, which is a pattern no account built on mood can produce.

The reading that gets made, and what it costs

The wrong reading is that this is excitement wearing a formula. On that account somebody got carried away, the premium is a mood, and it will subside when the mood does. Excitement is a comfortable reading because it needs no arithmetic and can be applied after the fact to anything at all.

The excitement reading fails one specific test, and the test takes one afternoon. Put both payoffs in front of the same person at the same sitting, both averaging Rs 12,000/-. An excitement account has no particular view about the second one: the person is in whatever mood they are in, and the mood does not distinguish between two payoffs with the same average. The weighting account is committed in advance and in both directions. The weighting account says this person will pay Rs 31,200/- for the concentrated payoff, a premium of Rs 19,200/-, and will demand the spread one at Rs 10,080/-, a discount of Rs 1,920/-. A premium for one shape and a discount for another, from the same person, in the same mood, on the same afternoon, is something excitement cannot produce and weighting cannot avoid.

The wrong reading costs its holder the second half of the mechanism. Read as excitement, the premium should rise and fall with the atmosphere and lift everything at once when it rises. Read as weighting, the premium should sit on the few holdings with the shape and stay there while the mood does whatever it likes. The two readings send an observer to look at completely different things, so the difference is worth the trouble of holding on to.

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How can the weighting account be told apart from an excitement account?

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What does the premium cost, and who ends up paying it?

The premium is paid by whoever buys the shape and received by whoever sells it, and the arithmetic of what happens afterwards is short. A buyer who pays Rs 31,200/- for the concentrated payoff is buying something that returns Rs 12,000/- on average, and Rs 12,000/- divided by Rs 31,200/- is 38.5 per cent. Repeat that purchase many times and the average outcome is thirty eight and a half paise in the rupee. Run the same division on the spread payoff bought at its discount: Rs 12,000/- divided by Rs 10,080/- is 119.0 per cent, so the average outcome there is a rupee and nineteen paise in the rupee.

Those two numbers are easy to over-read, so read them carefully. A price above an average produces an average outcome below the price. Arithmetic alone gives that result, and it is not a discovery about anybody. The two numbers do not say the buyer made a mistake. Nobody has measured the true curve in any market, and both numbers are worked on a curve drawn to show a shape. Whether paying Rs 31,200/- was sound depends on something the arithmetic cannot see: what the buyer wanted the payoff for. Whether a middling outcome is any use to that buyer settles it, and the point is a real one rather than a polite one.

What comes back on average, as a share of what went out. Both payoffs return Rs 12,000/- on average. Only the price paid for them differs. CONCENTRATED PAYOFF, BOUGHT AT Rs 31,200/- 38.5 per cent of what was paid SPREAD PAYOFF, BOUGHT AT Rs 10,080/- 119.0 per cent of what was paid WHAT WAS PAID, 100 PER CENT Horizontal scale: three pixels to the point, so 100 per cent is drawn 300 pixels wide. Rs 12,000/- over Rs 31,200/- is 38.5 per cent, and Rs 12,000/- over Rs 10,080/- is 119.0.
Paying above an average leaves an average outcome below the price and paying below it leaves one above, which is arithmetic rather than a judgement about the buyer.

Set it out over twenty rounds and the transfer becomes concrete. Twenty purchases at Rs 31,200/- is Rs 6,24,000/- paid out, and one payoff of Rs 2,40,000/- is what comes back, so Rs 3,84,000/- has moved across the twenty rounds. The transfer is Rs 19,200/- a round, exactly the premium calculated earlier.

Twenty rounds of the same purchase, added up. Nineteen rounds pay nothing. One pays Rs 2,40,000/-. The green square is the one that pays. TWENTY ROUNDS, ONE OF THEM PAYS Paid out, twenty rounds at Rs 31,200/- Rs 6,24,000/- Received, the one payoff that arrives Rs 2,40,000/- Difference across the twenty rounds Rs 3,84,000/- The premium, in each round Rs 19,200/- Rs 3,84,000/- divided by twenty is Rs 19,200/-, which is the premium worked out earlier from a single round.
Repeated twenty times the premium adds to Rs 3,84,000/- moving from buyer to seller, which is the same Rs 19,200/- a round arrived at from the other direction.

Where is paying for a payoff shape actually correct?

There is a condition under which paying above the average is exactly right, and the condition is narrow. Paying more than the average for a concentrated payoff is correct whenever a middling outcome is genuinely as useless to the buyer as nothing at all. If that condition holds, only one of the two payoffs can produce the outcome the buyer actually needs. The two are then not equivalent at their averages, whatever the arithmetic says. The premium then buys something real rather than nothing, and calling the buyer confused is the confused position.

Make it concrete with a household. A deposit of Rs 2,40,000/- has to be produced in one payment by a fixed date, and no part payment is accepted. The requirement is not a sum to be reduced but a threshold to be cleared, so Rs 12,000/- in hand does not make it smaller in any way that matters. The spread payoff reliably produces something in the region of Rs 12,000/-, and for that household it does nothing at all. The concentrated payoff produces the required outcome one time in twenty and nothing the other nineteen. Where the useful outcomes are a threshold rather than a total, the shape of a payoff is a real property of it and paying for that shape is buying a real thing.

A threshold is not made smaller by a middling amount. The requirement has to be produced in one payment. No part payment is accepted. REQUIRED IN ONE PAYMENT, Rs 2,40,000/- WHAT A MIDDLING OUTCOME DELIVERS Rs 12,000/-, which is 5.0 per cent of the requirement THE THRESHOLD Horizontal scale: one pixel is Rs 500/-, so Rs 2,40,000/- is drawn 480 pixels wide and Rs 12,000/- is drawn 24.
Against a requirement that has to be cleared in one payment, a reliable Rs 12,000/- covers 5.0 per cent of it and clears nothing at all.

The limit on that argument matters as much as the argument. The condition is a statement about the buyer's situation and never about the holding, so the same payoff at the same price can be sound for one person and pointless for the person beside them, and nothing about the payoff itself decides which. No general account can settle which of those two people a given buyer is, and nobody selling a payoff shape can settle it either. The only place the answer exists is in what the money was for.

One question decides it, and it is a question about the buyer. Does a middling outcome do the job? YES NO A MIDDLING OUTCOME HELPS the average is what matters here, and paying above the average buys nothing the buyer has a use for ONLY A LARGE SUM WILL DO the shape is worth something real, and the premium buys a chance the average could never deliver at all a cost with nothing bought a purchase of something needed Nothing about the payoff decides which side a buyer is on. Only what the money was for decides it.
Whether the premium is a cost or a purchase turns entirely on whether a middling outcome does the buyer any good, which is a fact about the buyer rather than the holding.
Try it out

When is paying above the average for a concentrated payoff a sound thing to be doing?

How is any of this used by somebody deciding on behalf of other people?

The answer lives in the buyer's situation rather than in the holding, so Devika Rao, the adviser at the invented Palash Advisory Services Private Limited, does not use any of this to talk anybody out of anything, and could not do so honestly even if she wanted to. She uses it for a split instead. Before a purchase goes through she asks in writing whether the buyer is paying for the cash the holding is expected to produce or for the way its possible payments are spread, so the answer exists afterwards.

What actually gets written down, and what it does not prove

The Palash decision log shows why the writing matters. Across 240 logged decisions a written reason was recorded on 84 of them, being 35.0 per cent, so roughly two decisions in three left no statement of what was being bought at all. Among the 20 investors who adopted a written checklist, decisions in quarters five to eight carried a written reason 34 times out of 41, being 82.9 per cent, against 19 of 63 for the other 40, being 30.2 per cent. A purchase on its own does not record its own reason, so writing down which of the two is being bought is the only way the question survives to be looked at later.

The same split does different work for different readers. A threshold that has to be cleared on a date is not served by an average, so a lender reading a household's position wants to know whether an amount set aside is expected to arrive or merely might. An analyst wants it because a price with a shape component in it is not explained by a cash flow argument alone, and mistaking the one for the other produces a confident answer to the wrong question. A person deciding alone, with no adviser and no committee, gets the whole of it in one written line: which payoff am I buying, and does a middling outcome do anything for me at all.

One thing is not claimed anywhere in this. The checklist group's higher rate of written reasons is a measurement of what got recorded and nothing else. No return difference is claimed, measured or implied between the two groups, and eight quarters of 60 invented investors could not carry such a claim even if somebody wanted it to.

Two readers, one question, written down either way. A PERSON DECIDING ALONE the line to write, before buying which payoff am I buying, and does a middling outcome do anything for me at all SOMEBODY DECIDING FOR OTHERS the line to record, before buying which of the two is being bought here, the cash the holding makes or the arrangement of what it pays Neither line settles whether to buy. Both make the question survive to a date when it can be looked at again. A purchase on its own records an amount and a date, and never the reason it was made.
The same split serves a person deciding alone and a professional deciding for others, and in both cases it only survives if somebody writes it down.
How often a reason was written down at all. All three shares come from the invented Palash decision log. Scale: five pixels to the point. all 240 decisions the checklist group the other 40 35.0 per cent, 84 of 240 82.9 per cent, 34 of 41 30.2 per cent, 19 of 63 84 over 240 is 35.0 per cent, 34 over 41 is 82.9, and 19 over 63 is 30.2. Every figure is invented. No return difference is claimed, measured or implied between these groups.
The checklist group recorded a reason on 82.9 per cent of decisions against 30.2 for the rest, and that is a measurement of recording and of nothing else.
Prospect theory itself, and the derivation of probability weighting, are set out under prospect theory, and the reference point and the coefficient of 2.2 under loss aversion; the weighting is inherited here and applied to one tail rather than rebuilt. Bubbles, manias and anything happening at the level of a whole market are set out under speculative bubbles and under mania, panic and capitulation. The invented Palash 100 index and its Q2 peak of 131.0 belong there. Attention effects, where a holding is bought because it was mentioned rather than because of its shape, are set out under limited attention. Whether any particular payoff is worth buying depends on the buyer's situation rather than on the mechanism set out here.

Sources

SourceDocumentSite
Nicholas Barberis and Ming HuangStocks as Lotteries, the paper deriving asset demand from the weighting of small chances, American Economic Review, 2008ssrn.com
Alok KumarWho Gambles in the Stock Market, the paper measuring where the preference shows up, Journal of Finance, 2009ssrn.com
Daniel Kahneman and Amos Tverskythe 1979 paper setting out prospect theory, in which the weighting of stated chances is one of three components, Econometricanber.org

Devika Rao, Palash Advisory Services Private Limited, the Palash decision log and the Palash 100 index are invented.
Educational material. Not advice on any investment, tax, budget or market position.

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