What is Multicollinearity in FRM Part 1?

Strong linear dependence among regression explanatory variables that inflates coefficient uncertainty. The model may retain overall predictive power while individual coefficients become unstable and insignificant.

Multicollinearity

FRM Part 1 glossary · Quantitative Analysis

Definition

Strong linear dependence among regression explanatory variables that inflates coefficient uncertainty.

Multicollinearity in plain English

The model may retain overall predictive power while individual coefficients become unstable and insignificant.

Learn these first

Bootstrapping (term structure)
Monte Carlo simulation

Related FRM Part 1 terms

Bayes' theorem
Bootstrapping (term structure)
Central limit theorem
Copula
Exponentially weighted moving average (EWMA)
Generalized Autoregressive Conditional Heteroskedasticity (GARCH)
Heteroskedasticity
Monte Carlo simulation
Ordinary least squares (OLS)
p-value

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