1,000+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
Statistical analysis and quantitative modeling problems
Trading MCQs, probability brainteasers, and market scenarios
Practice quant interview questions on MyntBit - the all-in-one quant learning platform. Free questions available for C++ coding, Python problems, probability brainteasers, and trading MCQs.
Difficulty: Medium
Category: Statistics & Regression
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: statistics, mle, exponential-distribution, probability
You are modeling the time between trades for a highly liquid stock using an exponential distribution. You have collected $n$ independent and identically distributed (i.i.d.) observations, $x_1, x_2, ..., x_n$, representing the time intervals between consecutive trades. Assume these observations come from an Exponential distribution with rate parameter $\lambda$, denoted as $Exp(\lambda)$. Determine the Maximum Likelihood Estimator (MLE) for the rate parameter $\lambda$.
Practice this medium trader interview question on Myntbit - the all-in-one quant learning platform with 1000+ quant interview questions for Jane Street, Citadel, Two Sigma, and other top quantitative finance firms.