Case 048Market-making gamesCore
Make a market on the product of two dice. The fair value is 12.25 with a standard deviation near 8.9 and a long right tail. How wide are you for one lot and for ten, and which way do you lean?
1The situation
In Marovane Trading's superday game, the interviewer rolls two ordinary dice behind a screen. The contract settles at the product of the two numbers, Rs 100 a point. You are asked for a two-way price, first for one lot, then, a few minutes later, for ten lots.
The interviewer mentions that in this round a counterparty may sometimes have glanced at one of the dice before asking for size. You have not seen either die.
2Your task
Work out the fair value and the shape of the distribution, quote a one-lot market, quote a ten-lot market, and explain why the second is wider and which way it should lean.
Quick check
What is the median of the product of two dice?
Worked solution
Try it on paper, then open one step at a time.
30-second answerThe answer to give first
Fair value is 12.25; quote about 11.5 at 13.5 for one lot and about 10.8 at 14.8 for ten. The two dice are independent, so the mean is 3.5 squared. Ten lots are wider because a size request is more likely to come from someone who has seen a die, which alone pushes the break-even quotes to 10.94 and 13.56. Both markets lean up, because a short position owns the tail to 36.
Step 1What is the contract worth, and what does its distribution look like?
Independence does the first step: the expected product is the product of the expectations, 3.5 x 3.5 = 12.25. The variance needs one more line: the mean of the square of one die is 91/6, so the mean square of the product is (91/6) squared, about 230.0, and the variance is 230.0 - 150.06, about 80, a standard deviation of 8.94. The shape matters as much as the mean: products bunch at small values and stretch thinly up to 36, so the median is 10 and 23 of 36 outcomes sit below fair value. Think of household incomes in a town with a few very rich families: the average is pulled above what most households earn.
Step 2How wide for one lot?
With no reason to think the counterparty knows anything, any market centred on 12.25 earns its half-width on average, so the width only has to pay for the risk of one roll. A one-lot carries a standard deviation of 8.9 points, Rs 894, which is small. A two-point market is reasonable, and a careful candidate leans it slightly up: 11.5 at 13.5. The lean comes from asking what each side can lose. Short at the offer, the worst one in ten rolls costs you on average 17.3 points; long at the bid, the worst one in ten costs 9.6. Setting the market so that each side earns the same edge per point of that tail loss moves its centre up by 0.28.
Step 3Why is the ten-lot market wider, and by how much?
Two reasons, and interviewers want both. First, ten lots on one roll is ten times the money on the same coin flip; the risk does not diversify. Second, and larger here, size is a signal. If a quarter of ten-lot requests come from someone who has seen one die, so knows the contract is worth 3.5 times that die, a market tighter than 10.94 at 13.56 loses money on average before any risk charge. The informed trader lifts your offer only when the die is 4 or more and hits your bid only when it is 3 or less, so every trade with them is a loser. Break-even is where the edge from the uninformed three-quarters covers that.
| a | your offer |
| \pi | chance the requester has seen one die |
| d | the die they saw |
| 3.5d | what the contract is worth to someone who has seen d |
Add a risk margin on top and apply the same tail-matching lean with a half-width of 2: 10.8 at 14.8 for ten lots, centred 0.57 above fair value. At that offer, a short ten-lot loses Rs 21,200 if double six comes up; at that bid, a long ten-lot loses at most Rs 9,800, on double one. The two worst cases are not mirror images, and the quote should not be either.
Say the limits. The quarter chance of an informed counterparty is an assumption for the round, not a fact, and the right width moves with it; the lean depends on judging tail loss the same way on both sides, and a desk with a different risk measure would lean by a different amount. What does not change is the direction: on a right-skewed contract, being short is the side with the long tail, so the offer goes further from fair value than the bid.
Where candidates lose it
The usual loss is quoting around the typical outcome rather than the mean: rolls feel like they land near 8 or 10, so candidates centre on 10 and sell 10 lots at 11, cheaply, to anyone who knows the mean is 12.25.
The second is quoting ten lots at the one-lot width. Size changes who is asking and how much a single roll can cost, and the candidate who keeps the same market for ten has ignored both; the interviewer's next move is usually to lift that offer.
What the interviewer asks next
- You sell five lots at your offer. Where do you quote now?
- The interviewer reveals one die is a 6. What is the contract worth and how wide are you?
- Make a market on the sum of the two dice instead. Why is the width different for the same size?
- How would you hedge a short ten-lot on the product if you could trade a contract on the first die alone?
Asked at Citadel, Quantitative Trading, New York, 2025 (Wall Street Oasis): Superday was more market-making but requires very sold foundation in math and statistics.
Company names and figures are illustrative.
