Confidence Region for long memory based on Inverting Bootstrap Tests: an application to Stock Market Indices
Mardi | 2018-06-26 Salle Sully 5 16h – 17h20 Christian DE PERETTI – Carole SIANI In the context of long memory, the finite-sample distortion of statistic distributions is so large, that bootstrap confidence intervals (percentile and percentile-t) for the long memory parameter do not perform better than the corresponding asymptotic confidence interval. In this paper, we propose confidence intervals based on inverting bootstrap tests for the long memory parameter. Monte Carlo experiments are carried out for assessing the confidence intervals […]