Abba Ahmed, Bello and Isah I, Salamatu and Aliyu Chika, Umar (2018): Long-run Relationship between Islamic Stock Indices and US Macroeconomic Variables. Published in: Dutse Journal of Economics and Development Studies , Vol. 1, No. 6 (20 October 2018): pp. 1-10.
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Abstract
The aim of this paper is to examine the long-run relationship between Islamic stock indices (Dow Jones and FTSE) and US macroeconomic variables (economic uncertainty index, federal funds rate, money supply, volatility fear index, consumer price index, Treasury bill and Brent oil price). Daily closing stock prices for the period January 2006 – December 2017 were used selected from US, Europe, Canada, Japan, Turkey, Malaysia, China India, Qatar, Kuwait, and Taiwan. Johansen test for Cointegration and Vector Error Correction Model (VECM) were employed for the analysis. The study found the existence of a long run relationship between the selected Islamic indices, the broad market index (represented by Dow Jones Industrial Average) and the set of US macroeconomic variables. Results from the VECM showed slow speed of adjustments indicating the series were highly volatile and took long time to converge to equilibrium. It is recommended that investors should be concerned with the economic policies of US as it has the tendency to affect the expected returns of Islamic Dow Jones and FTSE in the selected countries.
Item Type: | MPRA Paper |
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Original Title: | Long-run Relationship between Islamic Stock Indices and US Macroeconomic Variables |
English Title: | Long-run Relationship between Islamic Stock Indices and US Macroeconomic Variables |
Language: | English |
Keywords: | Cointegration, VECM, Macroeconomic Variables, Islamic stock index, stock market |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 104167 |
Depositing User: | Mr BELLO ABBA AHMED |
Date Deposited: | 15 Nov 2020 21:47 |
Last Modified: | 15 Nov 2020 21:47 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/104167 |