A nonparametric approach to test for predictability

C-Tier
Journal: Economics Letters
Year: 2016
Volume: 148
Issue: C
Pages: 10-16

Authors (3)

Pan, Zhiyuan (not in RePEc) Wang, Yudong (Nanjing University of Science) Wu, Chongfeng (not in RePEc)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Predictability of macroeconomic and financial variables is an important issue in economics. In this paper, we propose a nonparametric test for the predictability of the direction of price changes. The Monte Carlo simulation results show that our method displays better finite-sample property than the traditional parametric Granger causality test~(Granger, 1969) and two nonparametric causality tests of~Hiemstra and Jones (1994) and Diks and Panchenko (2006).

Technical Details

RePEc Handle
repec:eee:ecolet:v:148:y:2016:i:c:p:10-16
Journal Field
General
Author Count
3
Added to Database
2026-01-29