citation_author
A. Obalade, Adefemi
citation_volume
27
citation_author
Muzindutsi, Paul-Francois
citation_publication_date
2019
citation_title
Calendar Anomalies, Market Regimes, and the Adaptive MarketHypothesis in African Stock Markets
citation_pdf_url
https://repozytorium.kozminski.edu.pl/pl/system/files/Obalade.pdf
citation_issue
4
citation_journal_title
Central European Management Journal
citation_issn
2658-0845
citation_firstpage
71
citation_lastpage
94
dcterms.title
Calendar Anomalies, Market Regimes, and the Adaptive MarketHypothesis in African Stock Markets
dcterms.creator
A. Obalade
dcterms.subject
calendar effect, intra-month, amh; african stock markets, markov switching model
dcterms.description
Purpose: This paper examines the changing behavior of two calendar anomalies in African stock returns – the month-of-the-year and the intra-month effects – and their implications for the adaptive market hypothesis (AMH). Methodology: We applied two-stage Markov switching models (MSMs) instead of the conventional single state regression model. The sample period includes the daily index return of Nigerian, South African, Mauritian, Moroccan, and Tunisian stock exchanges from January 1998 to February 2018. Findings: We found that (i) all the markets except for the Johannesburg Stock Exchange (JSE) have a higher tendency to be in bearish state than bullish state, (ii) month-of-the-year and intra-month effects appear in one regime and disappear in another regime, and (iii) the behavior of calendar anomalies is affected by market conditions and conforms to AMH rather than the efficient market hypothesis (EMH). Practical Implications: We present that (i) calendar anomaly is a characteristic that changes under different regimes or market conditions in African stock markets, (ii) active investment management may yield profits for market participants, depending on the market conditions and the anomaly in question, and (iii) the right approach would be for investors to consider each market with its own peculiarity even when they are in the same continent. Originality/Value: The sensitivity of the month-of-the-year and the intra-month effects to market conditions has not been documented in African stock markets, especially with the use of regime-switching models
dcterms.contributor
A. Obalade
dcterms.date
2019
dcterms.type
Text
dcterms.format
text/html
dcterms.identifier
https://repozytorium.kozminski.edu.pl/pl/pub/5530
dcterms.abstract
Purpose: This paper examines the changing behavior of two calendar anomalies in African stock returns – the month-of-the-year and the intra-month effects – and their implications for the adaptive market hypothesis (AMH). Methodology: We applied two-stage Markov switching models (MSMs) instead of the conventional single state regression model. The sample period includes the daily index return of Nigerian, South African, Mauritian, Moroccan, and Tunisian stock exchanges from January 1998 to February 2018. Findings: We found that (i) all the markets except for the Johannesburg Stock Exchange (JSE) have a higher tendency to be in bearish state than bullish state, (ii) month-of-the-year and intra-month effects appear in one regime and disappear in another regime, and (iii) the behavior of calendar anomalies is affected by market conditions and conforms to AMH rather than the efficient market hypothesis (EMH). Practical Implications: We present that (i) calendar anomaly is a characteristic that changes under different regimes or market conditions in African stock markets, (ii) active investment management may yield profits for market participants, depending on the market conditions and the anomaly in question, and (iii) the right approach would be for investors to consider each market with its own peculiarity even when they are in the same continent. Originality/Value: The sensitivity of the month-of-the-year and the intra-month effects to market conditions has not been documented in African stock markets, especially with the use of regime-switching models
dcterms.language
en
dcterms.modified
2020-09-03T10:17+02:00