Predictive Regression and Robust Hypothesis Testing: Predictability Hidden by Anomalous Observations
Mardi | 2013-01-29 B103 Lorenzo CAMPONOVO – Olivier SCAILLET – Fabio TROJANI Testing procedures for predictive regressions with lagged autoregressive variables imply a suboptimal inference in presence of small violations of ideal assumptions. We propose a novel testing framework resistant to such violations, which is consistent with nearly integrated regressors and applicable to multi-predictor settings, when the data may only approximately follow a predictive regression model. The Monte Carlo evidence demonstrates large improvements of our approach, while the empirical analysis […]