This week, the @research-focus-group will revisit some of the most fundamental - and frequently tested - concepts in Quant Research: random variables, expectation, variance, and how their relationships are captured through covariance and correlation.
These topics form the backbone of probability and statistics, and just like Bayes’ Theorem, they’re among the most common discussion points in QR interviews.
We’ll explore not just the definitions, but the intuition behind how these quantities describe randomness, dependency, and uncertainty in data.
To guide your learning this week, we’ll be using some excellent videos by Steve Brunton and Ben Lambert, paired with theory, MCQs, and AI interview-style questions on bequant.dev.
You can start here: