Artikel
Modelling Nigerian banks' share prices using smooth transition GARCH models
This paper examined the application of nonlinear Smooth Transition-Generalized Autoregressive Conditional Heteroscedasticity (ST-GARCH) model of Hagerud on prices of banks' shares in Nigeria. The methodology is informed by the failure of the conventional GARCH model to capture the asymmetric properties of the banks' daily share prices. The asymmetry and non-linearity in the model dynamics make it useful for generating nonlinear conditional variance series. From the empirical analysis, we obtained the conditional volatility of each bank's share price return. The highest volatility persistence was observed in Bank 6, while Bank 12 had the least volatility. Evidently, about 25% of the investigated banks exhibited linear volatility behaviour, while the remaining banks showed nonlinear volatility specifications. Given the level of risk associated with investment in stocks, investors and financial analysts could consider volatility modelling of bank share prices with variants of the ST-GARCH models. The impact of news is an important feature that relevant agencies could study so as to be guided while addressing underlying issues in the banking system.
- Sprache
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Englisch
- Erschienen in
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Journal: CBN Journal of Applied Statistics ; ISSN: 2476-8472 ; Volume: 07 ; Year: 2016 ; Issue: 2 ; Pages: 137-158 ; Abuja: The Central Bank of Nigeria
- Klassifikation
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Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- Thema
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Specification
Smooth Transition-GARCH
Banks Stocks
Nigeria stock exchange
- Ereignis
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Geistige Schöpfung
- (wer)
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Yaya, OlaOluwa S.
Akinlana, Damola M.
Shittu, Olanrewaju I.
- Ereignis
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Veröffentlichung
- (wer)
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The Central Bank of Nigeria
- (wo)
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Abuja
- (wann)
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2016
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Yaya, OlaOluwa S.
- Akinlana, Damola M.
- Shittu, Olanrewaju I.
- The Central Bank of Nigeria
Entstanden
- 2016
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