Asymmetric Mean Reversion in Low Liquid Markets: Evidence from BRVM
Nathaniel Gbenro and
Richard Kouamé Moussa
Additional contact information
Nathaniel Gbenro: Department of Economics, (Thema) University Cergy-Pontoise, 95011 Cergy-Pontoise, France
Richard Kouamé Moussa: Ecole Nationale Supérieure de Statistique et d’Economie Appliquée, Abidjan 08, Côte d’Ivoire
JRFM, 2019, vol. 12, issue 1, 1-19
Abstract:
This paper analyzes the mean reversion property on the west African stock market (in French, Bourse Régionale des Valeurs Mobilières BRVM). For this purpose, we use two daily indices: (i) the composite index (BRVMC) and (ii) the index of the 10 most liquid assets (BRVM10) collected from 3 January 2005 to 29 June 2018. We estimate an asymmetric nonlinear autoregressive model with an EGARCH innovation to account for heteroskedasticity. The results suggest the existence of a mean reversion property for both indices. The half-life time is 7 days for the composite index and 2 days for the BRVM 10 index. Furthermore, using a rolling regression technique, we show that the estimated half-life time declines slightly for the composite index.
Keywords: stock market efficiency; mean reversion; half-life; asymmetry; rolling regression (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/1911-8074/12/1/38/pdf (application/pdf)
https://www.mdpi.com/1911-8074/12/1/38/ (text/html)
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:gam:jjrfmx:v:12:y:2019:i:1:p:38-:d:211599
Access Statistics for this article
JRFM is currently edited by Ms. Chelthy Cheng
More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().