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Calendar Anomalies in an Emerging African Market: Evidence from the Ghana Stock Exchange Author info | Abstract | Publisher info | Download info | Related research | Statistics Paul Alagidede () (Loughborough University )
Theodore Panagiotidis () (Loughborough University )
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This paper investigates two calendar anomalies in an emerging African market. Both the day of the week and month of the year effects are examined for Ghana. The latter is an interesting case because i) it operates for only three days per week during the sample period and ii) the increased focus that African stock markets have received lately both from academics and practitioners. We employ rolling techniques to asses the affects of policy and institutional changes. This allows deviations from the linear paradigm. We finally employ non-linear models from the GARCH family in a rolling framework to investigate the role of asymmetries. Contrary to a January return pattern in most markets, an April effect is found for Ghana. The evidence also shows the presence of the day of the week effects with asymmetric volatility performing better than the benchmark linear estimates. This seasonality though disappears when only the latest information is used (time-varying asymmetric GARCH). Our approach provides a new framework for investigating this well-known puzzle in finance.
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Paper provided by Department of Economics, Loughborough University in its series Discussion Paper Series with number
2006_13.
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Date of creation: Jun 2006Date of revision:
Jun 2006Handle: RePEc:lbo:lbowps:2006_13Contact details of provider: Postal: Loughborough, Leicestershire, LE11 3TU Phone: +44 (0) 1509 222701 Fax: +44 (0) 1509 223910 Web page: http://www.lboro.ac.uk/departments/ec/Research.htm More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Dr. Claudio Piga).
Keywords: Calendar Anomalies ; Non-Linearity ; Market Efficiency ; Asymmetric Volatility ; Rolling windows. ; Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Frimpong, Joseph Magnus & Oteng-Abayie, Eric Fosu, 2006.
"Modelling and Forecasting Volatility of Returns on the Ghana Stock Exchange Using GARCH Models ,"
MPRA Paper
593, University Library of Munich, Germany, revised 07 Oct 2006.
[Downloadable!]
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