Quant interview questions
1,322 questions in the style trading and research firms ask, from probability and brainteasers to options, statistics and coding. Every question is open to read; the 50 in the free sample show their worked solutions here.
90 questions · page 1 of 3 · Clear filters
- Four independent exponential variables each have rate 2.Probability · Applied
- You have a uniform random number generator and need draws from a distribution…Probability · Applied
- A symmetric random walk starts at the origin.Probability · Advanced
- One hundred prisoners each open fifty of one hundred boxes to find their own…Games, decision theory and puzzles · Expert
- A parent company trading at $100 spins off a subsidiary, distributing one…Markets and products · Foundation
- A company has a constant default intensity of 2% a year and bondholders expect…Markets and products · Applied
- An acquirer offers 0.5 of its own shares for each target share.Markets and products · Applied
- Long-Term Capital Management collapsed in 1998. What best describes why?Markets and products · Applied
- A project’s cash flows go negative, positive, then negative again (for example…Time value, rates and linear products · Applied
- You observe 8 successes in 20 trials.Statistics and inference · Foundation
- Which statement about the central limit theorem is correct?Statistics and inference · Applied · Free solution
- You compute a 95% confidence interval of (2,8) for a mean. Which reading is correct?Statistics and inference · Applied
- You test 200 signals with no edge at the 5% level.Statistics and inference · Applied
- The maximum likelihood estimator of a normal variance divides by n rather than n−1.Statistics and inference · Applied
- An estimator has a bias of 0.2 and a standard deviation of 0.3.Statistics and inference · Applied
- You lower your significance level from 5% to 1% without changing the sample. What happens?Statistics and inference · Applied
- You draw 1,000 bootstrap resamples and sort the statistics.Statistics and inference · Applied
- Your prior on a coin is Beta(2,2) and you observe 7 heads in 10 flips.Statistics and inference · Applied
- What does a 95% credible interval say that a 95% confidence interval does not?Statistics and inference · Applied
- A two-sided test at α = 5% compares two arms of 64 with a true standardised effect of 0.5.Statistics and inference · Advanced
- For which statistic does the ordinary bootstrap fail?Statistics and inference · Advanced
- An A/B test has 10,000 users per arm and a 5% baseline conversion rate.Statistics and inference · Advanced
- A regression has a total sum of squares of 200 and a residual sum of squares of 50.Regression and econometrics · Foundation
- You regress y on x and get a slope of 2.Regression and econometrics · Applied
- A regression on 100 observations with 5 regressors has R² = 0.30.Regression and econometrics · Applied
- Your errors are heteroskedastic. What is still true of the OLS coefficients?Regression and econometrics · Applied
- Regressing x₁ on the other regressors gives R² = 0.9.Regression and econometrics · Applied
- Your regression residuals on a time series are strongly positively autocorrelated.Regression and econometrics · Applied
- With orthonormal regressors, the OLS coefficient is 2 and the ridge penalty is λ = 3.Regression and econometrics · Applied
- A logistic regression has intercept −2 and slope 0.5.Regression and econometrics · Applied
- You add independent noise to a regressor x. What happens to its coefficient?Regression and econometrics · Advanced
- By the Frisch–Waugh–Lovell theorem, what does the coefficient on x₁ in a…Regression and econometrics · Advanced
- An instrument Z has Cov(Z,Y) = 0.6 and Cov(Z,X) = 0.4.Regression and econometrics · Advanced
- Your first-stage F-statistic is 4. What does that tell you about the IV estimate?Regression and econometrics · Advanced
- You model trade counts per venue where exposure times differ. What belongs in the model?Regression and econometrics · Advanced
- You regress one stock’s price on another’s and get R² = 0.95 with a t-statistic of 40.Time series · Applied · Free solution
- An augmented Dickey–Fuller test fails to reject its null. What have you learned?Time series · Applied
- For xₜ = εₜ+0.5εₜ₋₁, what is the lag-one autocorrelation?Time series · Applied
- For xₜ = 2+0.6xₜ₋₁+0.3xₜ₋₂+εₜ, what is the unconditional mean?Time series · Applied
- Your prior on a state is 10 with variance 4, and you observe 13 with…Time series · Applied