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: Hard
Category: portfolio_optimization
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: maximum_diversification, diversification_ratio, portfolio_optimization, covariance, long_only
The Maximum Diversification Portfolio, proposed by Choueifaty & Coignard (2008), maximizes the Diversification Ratio DR(w) = (w^T σ) / √(w^T Σ w). This portfolio construction method is driven solely by the covariance structure of assets, requiring no return forecasts. Institutional allocators use it as a risk-parity alternative that explicitly targets diversification across risk sources. Task Implement the function maximum_diversification_portfolio(returns: list) -> list to compute the weights
Practice this hard 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.