Unified Inference for Dynamic Quantile Predictive Regression

Abstract

This paper develops unified asymptotic distribution theory for dynamic quantile predictive regressions which is useful when examining quantile predictability in stock returns under possible presence of nonstationarity.

Tasks

Reproductions