500+ 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: statistical_analysis
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: cramer_von_mises, normality_test, goodness_of_fit, statistical_testing, risk_management
The Cramer-von Mises (CvM) test is a goodness-of-fit test that measures the discrepancy between an empirical distribution and a theoretical one. It is widely used in quantitative finance for backtesting model assumptions, such as verifying that a series of portfolio returns or P&L follows a normal distribution. Unlike the Kolmogorov-Smirnov test, the CvM test is often more sensitive to differences in the tails of the distributions. Task Implement the function cramer_von_mises_test(sample: list)
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.