Artikel

The Turn-of-the-Month-Effect: Evidence from Periodic Generalized Autoregressive Conditional Heteroskedasticity (PGARCH) Model

The current study examines the turn of the month effect on stock returns in 20 countries. This will allow us to explore whether the seasonal patterns usually found in global data; America, Australia, Europe and Asia. Ordinary Least Squares (OLS) is problematic as it leads to unreliable estimations; because of the autocorrelation and Autoregressive Conditional Heteroskedasticity (ARCH) effects existence. For this reason Generalized GARCH models are estimated. Two approaches are followed. The first is the symmetric Generalized ARCH (1,1) model. However, previous studies found that volatility tends to increase more when the stock market index decreases than when the stock market index increases by the same amount. In addition there is higher seasonality in volatility rather on average returns. For this reason the Periodic-GARCH (1,1) is estimated. The findings support the persistence of the specific calendar effect in 19 out of 20 countries examined.

Sprache
Englisch

Erschienen in
Journal: International Journal of Economic Sciences and Applied Research ; ISSN: 1791-3373 ; Volume: 7 ; Year: 2014 ; Issue: 3 ; Pages: 43-61 ; Kavala: Eastern Macedonia and Thrace Institute of Technology

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Information and Market Efficiency; Event Studies; Insider Trading
Thema
Calendar Effects
GARCH
Periodic-GARCH
Stock Returns
Turn of the Month Effect

Ereignis
Geistige Schöpfung
(wer)
Giovanis, Eleftherios
Ereignis
Veröffentlichung
(wer)
Eastern Macedonia and Thrace Institute of Technology
(wo)
Kavala
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Giovanis, Eleftherios
  • Eastern Macedonia and Thrace Institute of Technology

Entstanden

  • 2014

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