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The Microstructure of Wealth Transfer in Prediction Markets

https://www.jbecker.dev/research/prediction-market-microstructure
74•jonbecker•2h ago

Comments

jonbecker•2h ago
tl;dr

dataset: 72.1m trades and $18.26b volume on kalshi (2021-2025)

core findings:

longshot bias: well documented longshot bias is present on kalshi. low probability contracts are systematically overpriced. contracts trading at 5 cents only win 4.18% of the time.

wealth transfer: liquidity takers lose money (-1.12% excess return) while liquidity makers earn it (+1.12%).

optimism tax: the losses are driven by a preference for "yes" outcomes. buying "yes" at 1 cent has a -41% expected value. buying "no" at 1 cent has a +23% expected value.

category variation: finance markets are efficient (0.17% maker-taker gap) while high-engagement categories like media and world events are inefficient (>7% gap).

mechanism: makers do not win by out-forecasting takers. they win by passively selling "yes" contracts to optimistic bettors

KPGv2•1h ago
This reminds me of the old scheme where if you just bet against ND football you'd make money because ND fans were so rabid that the "ND is good" positions became overpriced.
hbarka•1h ago
Yes, in the study they pinpointed this beautifully: “A fan betting on their team to win the championship is not calculating expected value; they are purchasing hope.”
tasuki•1h ago
I wish I had read the comments (ie your comment, as it's the only one now) before reading the article!
TZubiri•1h ago
I don't think that makers sell "yes" they take both ends of the bet, but they make more money on selling yes,apparently.
snovv_crash•1h ago
The question is how long this alpha continues to exist...
hbarka•1h ago
> Optimism tax: the losses are driven by a preference for "yes" outcomes. buying "yes" at 1 cent has a -41% expected value. buying "no" at 1 cent has a +23% expected value.

This is interesting and makes a statement about positive or negative orientation in human psychology. Also, couldn’t the bets just be worded in the negative instead of the affirmative thus flipping the optimism bet?

LeifCarrotson•1h ago
I'm a little confused by the "Yes" versus "No" asymmetry.

For example, one of the top trending ~~bets~~ markets right now is on whether Miami or Indiana will win the NCAA football championship tonight. You can either take "Yes" on Indiana at 74c, or "No" at 27c, or you can take "Yes" on Miami at 27c or "No" at 74c. Or, there's another potential outcome - you can also bet on a tie at 10c yes/91c no.

Is this research suggesting that an optimistic Miami fan can somehow get a better return by buying "No" on Indiana than a "Yes" on Miami?

Why is Kalshi structured with these yes vs. no options for all outcomes?

postflopclarity•1h ago
> Why is Kalshi structured with these yes vs. no options for all outcomes?

it's basically how they do margin. otherwise you wouldn't be able to sell / post asks without already having a long position. for kalshi, it's actually one single security in the background they just present it as two order books (but really it's one). for polymarket, they are two distinct products that trade separately, and technically could have arbitrage between them. although in practice they're normally priced correctly to sum to 1 (or 1.01)

denotational•14m ago
It’s not really margin since there’s no leverage: the potential loss associated with the bet has to be deposited, so it’s fully collateralised.
pants2•32m ago
Part of this perceived arbitrage is the fee structure. Kalshi has a weird transaction cost structure but taking advantage of that 1c arb probably costs you 2c in fees to Kalshi, so nobody does it.
sambaumann•6m ago
10c yes seems really high for a tie. NCAA rules don't allow for ties in football. I know prediction markets have very long shot bets but I would expect that to be closer to 1c

Edit: it looks like the tie market is only for if the game is tied at halftime, which makes much more sense

TaylorPhebillo•1h ago
How do prediction markets account for interest rates? I feel like I should be willing to pay no more than ~96 cents for a contract that will definitely resolve to a dollar in a year. Who puts up the other 4 cents?
computerphage•1h ago
The usual thing is that the market ends up around $0.95 for things like that, if the actors are all solid investors. It only takes one overly enthusiastic yes buyer to break that ceiling, the smart money won't "correct" it down to $0.95

There's another idea, which is make contacts that pay out in shares of an ETF, but I haven't seen this idea put into practice

lowbatt•1h ago
that's correct. Also Kalshi does pay out interest on, and Poly does on a few markets
samvimes•1h ago
Kalshi pays interest on open positions
pants2•37m ago
Interest on open positions. Polymarket pays about 4.00% annualized holding rewards on eligible markets/positions (not all). Kalshi pays about 3.25% APY on cash plus open positions (collateral).

Edit to add that on non eligible markets your theory is correct, for example: https://polymarket.com/event/will-jesus-christ-return-before...

jebarker•1h ago
I wonder how much of the activity on prediction markets these days is competing LLM scripts? I would guess the overlap in prediction market punters and AI boomers is high.
lowbatt•1h ago
It'd be a good way to lose money at the moment. Probably not too far off in the future it would make sense though
MarkusQ•33m ago
Would you like to bet on that? :)
mormegil•30m ago
LLM-superforecaster parity projected to late 2026 (and LLMs now outperform non-expert public participants) according to https://forecastingresearch.substack.com/p/ai-llm-forecastin...
kwar13•1h ago
This article lacks even the most basic understanding of probability and statistics. Slot machines "93 cents on the dollar" return is a statistical certainty of 7% loss. You are playing a repeated game which by the law of large numbers will converge to the 93% probability.

In prediction markets if the markets are fully efficiently priced, in the absence of transaction costs you WILL get 100% back in the long run.

Slots are also unskilled games, prediction markets clearly some participants have a clear market edge, thus not efficiently priced.

kibwen•52m ago
> In prediction markets if the markets are fully efficiently priced, in the absence of transaction costs you WILL get 100% back in the long run.

This is basically equivalent to the observation that, in a perfectly efficient market, no entity can ever make a profit.

And yet, in the real world, entities make profits all the time. In fact, they make wild, unimaginable, world-changing, history-altering profits. This is a tacit admission that our markets aren't even remotely efficient, and that includes predictions markets. Efficient, rational markets are the exception, not the rule.

Retric•40m ago
You misunderstood a basic principle here.

In a perfectly efficient market all entries can make the same profit on a given investment at the same level of risk and time horizon. There’s nothing inefficient about a market having a risk premium etc.

dpc050505•3m ago
Free markets aren't even an exception. They're an abstract construction that exists to make economic analysis scientific by removing all confounding variables from the equation. I'd be extremely surprised to find one example where the conditions required of a free market truly existed.

If people knew more about economics than just whatever is being parroted as 'economics' in mainstream media they would know that there's a variety of types of markets that happen in the real world and none of them are the abstraction of a free market that allows econ 201 students to compare what happens when you introduce trade between a country that produces 4 apples for 3$ each and a country that produces 5 oranges for 4$ each.

pjc50•46m ago
So clearly the market isn't efficiently priced.
chinathrow•36m ago
Do you work for a prediction market or do you participate in one?
jjmarr•24m ago
If you read the article:

> Takers pay a structural premium for affirmative "YES" outcomes while Makers capture an "Optimism Tax" simply by selling into this biased flow.

It's still operating like a casino in that there's a "house edge" that comes from taking bets. Unlike a casino, there is nothing stopping the average person from market making, which is why it doesn't make sense this structural inequality exists.

jonbecker•6m ago
i understand how probability works. the "93 cents" vs "43 cents" comparison is looking at realized historical data, not theoretical odds. if the markets were efficiently priced, you would get 100% back. the entire point of the paper is showing that, historically, they aren't efficiently priced (longshots return ~43%), and explaining who captures that inefficiency.
simonw•51m ago
I'm getting some really skeezy ads for prediction markets on TikTok at the moment, the message is effectively "hey, are you broke? earn $50+/day on Kalshi!"
renewiltord•43m ago
The Polymarket twitter accounts are massive ragebaiters. This is sports betting with some two minutes hate added in.

I have to say I was this huge fan of the idea and I didn’t anticipate it would happen like this.

LeifCarrotson•4m ago
I have occasionally tried checking Polymarket and Kalshi to get an idea of the general political/cultural/technological consensus on various issues that are difficult to research otherwise, eg. "what are the chances that the Senate changes hands in the 2026 midterms?" People have thought about it enough to wager a million dollars and the consensus is at about 1/3. I have this abstract prediction market in my head, each bet placed by some statistically average person with diverse experiences and exposures from my own bubble, who carefully considers their information and puts their two cents into the pot, and I assume that by adding all our ideas together we form some sort of combined intelligence which is more insightful and reliable together than any individual pundit could be.

And then I go back to the home page, and see all the rabid sports fans, and realize that these bets are not being placed by deep thinkers.

yieldcrv•36m ago
To me this is all the more reason to get regulatory gatekeeping out of the financial markets

If the odds in some financial products are worse than gambling while everyone can access gambling, then people should stop making a distinction under the guise of protecting investors

it just drives investors to actual gambling because they cant get the exposure they were already looking for

JumpCrisscross•31m ago
> it just drives investors to actual gambling because they cant get the exposure they were already looking for

This argument gets trotted out by Wall Street every decade or so, usually under the guise of "democratising" some piece of finance. It's almost always bunk.

Most investment capital is looking for safe returns. It's not competing with gambling. Even within the high-risk end of finance, the game is in turning that high risk into above-market but predictable returns through portfolio mechanics. (Fuckups aside, you can't generally portfolio mechanic your way out of the negative expectated value of a lottery ticket.)

More simply: the notion that we need to increase risk and profitiabilty for intermediaries in investments to keep people from gamblig is a false economy. Gamblers are seeking a different thrill from what financial markets are designed to provide. To the degree we have a problem, it's in letting our markets look more like casinos.

> exposure they were already looking for

Broadly speaking, if you want exposure to the economy you're investing. If you want exposure to a number that goes up, you're gambling. This is an overly-simplistic delineation. But it works for first-order estimates.

SpicyLemonZest•10m ago
You're misunderstanding the dynamics here. Modern prediction markets are 90% sports gambling by volume. The trick is that, by positioning themselves as general financial markets and accepting the corresponding regulatory gatekeeping, they're exempt from the often much stricter regulations that states put on normal sports gambling apps.
pixl97•9m ago
I'm all for banning gambling too.
bs7280•18m ago
I mentioned this on a different post - the biggest problem with prediction markets is not the gambling or dumb people losing money. Its the fact that it gives very powerful people a vehicle to make lobsided bets on outcomes they control.

A small example of this would be NFL / NBA Refs fixing playoff games with a bad call or two. This actually happened 20 years ago, an NBA ref went to prison over being bribed just $2000 per game.

The much worse example is the fact that you can make 100-1 odds on whether the US airstrikes Iran today... or How many times Pam Bondi says the word "China" in a press conference.

sysguest•13m ago
+1

if you're not the person-in-complete-power, your bet is really likely to be 'rigged' against you

I'd rather play dice or buy lotteries

roflyear•13m ago
well, at least for really odd ones - like the china example - the liquidity is (probably) going to be really low. you need people buying both sides to make money.

But for big events/talked about stuff/etc ofc this is not true.

Buttons840•10m ago
It's a national security issue too.

Somebody poor grunt who chose to earn a living by laboring (which has proven to be much less effective than being born with money) will be putting fuel in the bombers and thinking "I could just make an anonymous bet..."

It's a national security issue.

We saw this with the Venezuela attack. A flurry of trading and someone made $400,000 for placing a bet mere hours before the "surprise" attack. https://www.pbs.org/newshour/nation/a-400000-payout-after-ma...

JumpCrisscross•10m ago
> it gives very powerful people a vehicle to make lobsided bets on outcomes they control

I'm sceptical that prediction markets uniquely enable this. Like, if you want to bet on U.S. airstrikes in the short term, you could always buy oil options (or short exposed companies). If you're in for the long term, you're buying something that benefits from cheaper gas, e.g. an additives company.

dragonwriter•56s ago
All of these things are much more subject to the problem that effects policy generally: the law of unintended consequences. Betting on the policy, rather than an intended/expected longer-term outcome that is easily derailed by intervening events outside of your direct control is much more direct (plus, if you are corrupt enough to bet on policy you control, that policy is probably already seeking a longer-term aim that serves your existing financial interests, so the ability to bet on the policy itself makes the corruption more attractive by providing a more immediate and certain payoff on top of the longer-term, less certain one.)
caconym_•8m ago
> the biggest problem with prediction markets is not the gambling or dumb people losing money. Its the fact that it gives very powerful people a vehicle to make lobsided bets on outcomes they control

This is quickly becoming the point of them, at least insofar as they are enjoying an extremely favorable regulatory environment courtesy of the Trump crew.

tptacek•4m ago
This gets into a philosophical point about what a prediction market actually is. If it's a device for anonymously aggregating fragmented group information into a coherent accurate prediction, the lopsided bets are a feature; the only point of the market is the price signal, and the lopsided bets true up the price.

But most of us understand that prediction markets aren't that, no matter what Robin Hansen said when he was helping invent the modern incarnation of things like Polymarket and Kalshi. They're gambling venues, and we have "Nevada Gaming Commission"-style concerns about fairness. To me, the next logical step is to say that they should be heavily regulated, but in the era of DraftKings, that seems off the table.

qznc•1m ago
Why isn’t political gambling in the UK a problem then?
jvanderbot•1m ago
That's the actual point. Everyone else is there to make money gambling, but the whole premise is to incentivize people with secret information to share it anonymously with the public, and take a reward for doing it.

All without traceability or secret drops or whatever.

POSIWID

__MatrixMan__•9m ago
I hope we manage to leverage prediction markets to actually achieve goals rather than just making a casino out of it.

For instance, if you spot malware in a commit you could bet heavily against it not being merged, and that would attract the maintainers' attention, and they'll see what you see and not merge it, and you get paid for the code review--that money would come from whoever bet that it would get merged, which you could require be the author of the malware. I haven't worked it out entirely but it seems that there are opportunities to build games that reward dilligence and transparency and penalize deception and spam.

jpmattia•4m ago
Something that appears to be missing: Certain events attract "advertising" types of bets. E.g. There is value in making a candidate appear to be a leader, so dedicating dollars to swinging the market is more of a form of advertising than an intelligent bet.

So it would be interesting to measure the inefficiencies of various bets vs the total market value in that bet.

e: Although full disclosure, I did not pick apart the entire paper. Maybe it's buried in there.

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