Trend, Mean-Reversion or Random Walk? A Statistical Analysis of Price Behavior in Major Markets

20 Pages Posted: 2 May 2016 Last revised: 11 May 2016

Date Written: May 1, 2016

Abstract

We examine the price behavior of 56 major markets over the last 16 years applying a set of univariate and multivariate robust statistical tests across different time frequencies. Our results can be considered as an augmented true out-of-sample test of all previous research testing for time-series independence. We find no statistically significant evidence that price movements in calendar time scale consistently deviate from randomness. There are only limited departures that are split between trend and mean-reversion depending on the time frame, prices (spot or futures) and assets studied, but even those cases have to be interpreted with caution since we tested a large number of assets increasing the probability of Type I error. Our univariate results are also confirmed by the multivariate analysis that examines the joint distribution of assets using a pooled panel regression. Finally, comparing our results to previous research we find evidence that price dynamics change over time highlighting the difficulty of identifying price patterns ex-ante.

Keywords: Trend, Mean-reversion, Random walk hypothesis, Autocorrelation, Kendall’s tau, Variance ratio test, Runs test, Pooled Regression

JEL Classification: C14, C22, C23, G14, G15

Suggested Citation

Athanasiadis, Theodosios, Trend, Mean-Reversion or Random Walk? A Statistical Analysis of Price Behavior in Major Markets (May 1, 2016). Available at SSRN: https://ssrn.com/abstract=2773302 or http://dx.doi.org/10.2139/ssrn.2773302

Theodosios Athanasiadis (Contact Author)

Erevna Capital Management ( email )

United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
755
Abstract Views
3,022
Rank
51,146
PlumX Metrics