Alejandro García-Figal, Alejandro Lage-Castellanos, Daniel A. Amaro, R. Mulet
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引用次数: 0
Abstract
Every market leaves its fingerprint in prices time series. The Efficient Market Hypothesis (EMH), considers that prices behave as random walks, a property that has been tested on whole data sets of both formal and informal markets. Here we extend this idea studying the Cuban informal exchange market using two standard tests, the Wald-Wolfowitz runs test and the Variance ratio test. Moreover, while these tests are usually done in the whole data set, we check whether different intervals of the series and the series on different time scales fulfill the EMH. Therefore, we repeated the tests in the fast components of the market obtained from an Empirical Mode Decomposition of the data and on separated time intervals defined through a Hidden Markov Model with two latent variables. We concluded that in all cases the Efficient Market Hypothesis is violated. We finish our work discussing some possible causes and consequences of this inefficiency.
期刊介绍:
Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing