Artikel

Foreign exchange news announcements and the volatility of stock returns in Nigeria

This paper examines the effect of foreign exchange news announcements on the volatility of stock returns in Nigeria, using the daily closing All-Share Index from The Nigerian Stock Exchange from 2000 to 2015. We extended existing literature by augmenting the EGARCH econometric model with exchange news announcements to specify both the conditional mean and volatility equations. The empirical results revealed a positive and significant effect of exchange news announcements on stock market volatility in Nigeria under symmetric conditional variance. However, there was strong evidence of asymmetric effect with negative exchange news which caused volatility to rise more following a large price rise than following a price fall of the same magnitude. The total impact of bad news had more distabilising effect on volatility than good news. The sum of ARCH and GARCH coefficients (» + Ø = 0.9) is approximately close to unity - indicating strong evidence of volatility persistence in the Nigerian stock market.

Sprache
Englisch

Erschienen in
Journal: SPOUDAI - Journal of Economics and Business ; ISSN: 2241-424X ; Volume: 67 ; Year: 2017 ; Issue: 3 ; Pages: 3-17 ; Piraeus: University of Piraeus

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Financial Econometrics
Asset Pricing; Trading Volume; Bond Interest Rates
Thema
volatility
stock returns
exchange news
asymmetric
volatility persistence

Ereignis
Geistige Schöpfung
(wer)
Omokehinde, Joshua Odutola
Abata, Matthew Adeolu
Migiro, Stephen Oseko
Ereignis
Veröffentlichung
(wer)
University of Piraeus
(wo)
Piraeus
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Omokehinde, Joshua Odutola
  • Abata, Matthew Adeolu
  • Migiro, Stephen Oseko
  • University of Piraeus

Entstanden

  • 2017

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