Permutation Based Complexity Measures and Crashes

Abstract

A comprehensive analysis of permutation measures of the complexity of economic systems is performed by calculating the permutation entropy and the Kullback-Leibler divergence within the algorithm of a sliding window. A comparative analysis of these measures with the daily values of the Dow Jones index, WTI oil prices and Bitcoin prices indicate the possibility of their use as indicators-precursors of the known crashes in selected markets