Modeling Stock Returns Volatility in Nigeria: Applications of GARCH Family Models
نویسندگان
چکیده
منابع مشابه
On Modeling the Volatility of Nigerian Stock Returns Using GARCH Models
This study investigates the time series beaviour of daily stock returns of four firms listed in the Nigerian StockMarket from 2nd January, 2002 to 31st December, 2006, using three different models of heteroscedastic processes, namely: GARCH (1,1), EGARCH (1,1) and GJR-GARCHmodels respectively. The four firms whose share prices were used in this analysis are UBA, Unilever, Guiness and Mobil. All...
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This paper investigates the nature of volatility characteristics of stock returns in the Bangladesh stock markets employing daily all share price index return data of Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE) from 02 January 1993 to 27 January 2013 and 01 January 2004 to 20 August 2015 respectively. Furthermore, the study explores the adequate volatility model for the stoc...
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The discrete time ARCH/GARCH model of Engle and Bollarslev has been enormously influential and successful in the modelling of financial data. Recently, Klüppelberg, Lindner, andMaller (2004) introduced the so-called “COGARCH”model as a continuoustime analogue to the GARCH model. Many aspects of the COGARCH have been investigated, including various of its theoretical properties, its relations to...
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In this papeT we study the performance of the GARCH model and two of its non-linear modifications to forecast weekly stock market volatility. The models are the Quadratic GARCH (Engle and Ng. 1993) and the Glosten. Jagannathan and Runkle (1992) models which have been proposed to describe, for example, the often observed negative skewness in stock market indices. We find that the QGARCH model is...
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ژورنال
عنوان ژورنال: Asian Journal of Economics, Business and Accounting
سال: 2018
ISSN: 2456-639X
DOI: 10.9734/ajeba/2018/39861