Portfolio Risk Cycle Review
Portfolio risk cycle review for quant interviews, covering covariance, diversification, risk metrics, optimization, factor models, and validation.
Candidates consolidating portfolio risk and factor-model basics.
Review covariance and diversification
Portfolio risk starts with how positions move together. You should be able to explain covariance terms, correlation caveats, diversification benefits, and concentration risks.
Review risk-adjusted metrics
Sharpe, information ratio, tracking error, drawdown, VaR, and expected shortfall each summarize a different risk view. Practice saying what each metric misses.
Review optimization and factors
Mean-variance optimization, efficient frontiers, risk parity, and factor models are useful only when their inputs, constraints, and exposure estimates are treated skeptically.
Concrete final drill
Take one portfolio backtest and discuss variance, diversification, factor exposure, risk-adjusted return, drawdown, tail risk, costs, and validation failures.
Common mistakes
Candidates often optimize or rank portfolios before questioning the inputs. In interviews, the skepticism around risk estimates is part of the answer.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.