Top Quant Interview Questions on Probability, Volatility & Python
In this article, we'll solve and discuss in-depth some real interview questions covering probability distributions, implied volatility, Python programming, and portfolio risk analysis. Whether you're preparing for quant interviews or seeking to deepen your understanding, this guide will help you master key concepts and problem-solving techniques.
In financial markets, volatility refers to the degree of variation of a trading price series over time, typically measured by the standard deviation of returns. Volatility is a critical parameter in options pricing models, risk management, and quantitative trading strategies.
Implied volatility (IV) is the market's forecast of a likely movement in a security's price. It is derived from the market price of an option, using an option pricing model such as the Black-Scholes model. Unlike historical volatility, which is calculated from past price movements, implied volatility reflects the market's expectations of future volatility.
