A theorem that under certain conditions, the ordinary least squares (OLS) estimator provides the Best Linear Unbiased Estimator (BLUE) of the linear regression coefficients. The conditions include a correct linear regression function and homoscedastic, serially uncorrelated errors for non-stochastic explanatory variables.
Our mission is to empower you with the tools and knowledge you need to make informed decisions, understand intricate financial concepts, and stay ahead in an ever-evolving market.