On the Efficiency of the Informal Currency Markets: The Case of the Cuban Peso
Alejandro García-Figal (),
Alejandro Lage-Castellanos (),
Daniel A. Amaro () and
R. Mulet ()
Additional contact information
Alejandro García-Figal: University of Havana
Alejandro Lage-Castellanos: University of Havana
Daniel A. Amaro: University of Havana
R. Mulet: University of Havana
Computational Economics, 2025, vol. 65, issue 4, No 18, 2317-2350
Abstract:
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.
Keywords: Efficient market; Empirical mode decomposition; Hidden markov model; Random walk; Runs test; Variance ratio test (search for similar items in EconPapers)
JEL-codes: C12 D53 E26 G14 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10614-024-10638-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:65:y:2025:i:4:d:10.1007_s10614-024-10638-w
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-024-10638-w
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().