Using Central Limit Theorems for Dependent Data

Timothy Falcon Crack and Olivier Ledoit

Abstract

Economics and finance PhD students at top schools typically see econometric derivations using central limit theorems that apply only to independent data. This consistently leads them to use of inappropriate central limit theorems when data are dependent. We give a much-needed illustration of the use of a central limit theorem for dependent data in the derivation of the asymptotic distribution of the sample variance of a Gaussian AR(1) process.


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