500+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
C++ and Python coding challenges for quant developer interviews
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: statistical_analysis
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: runs_test, wald_wolfowitz, randomness_test, market_efficiency, statistical_analysis
The Wald-Wolfowitz runs test is a non-parametric method for detecting non-randomness in a data sequence. In quantitative finance, it is applied to time series like asset returns to test for trending or mean-reverting behavior, which are deviations from the efficient-market hypothesis. The test evaluates randomness by counting the number of "runs," which are consecutive observations on the same side of the median. Task Implement the function runs_test(data) to perform the Wald-Wolfowitz runs tes
Practice this medium researcher interview question on Myntbit - the all-in-one quant learning platform with 650+ quant interview questions for Jane Street, Citadel, Two Sigma, and other top quantitative finance firms.