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: Easy
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: volatility, ewma, time-series, risk, riskmetrics
The Exponentially Weighted Moving Average (EWMA) model provides a responsive estimate of asset volatility by assigning greater weight to more recent squared returns, a method popularized by J.P. Morgan's RiskMetrics. It serves as a crucial benchmark for risk management and systematic trading, avoiding the abrupt data cutoffs of simple moving averages. Task Implement the function solution(returns: list, lam: float) -> float to calculate the EWMA volatility. The calculation should follow the recu
Practice this easy 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.