Abstract

Purpose: The main objective of this study is to examine the relationship between Nigerian Stock Exchange and Dubai stock exchange with the aim of finding out the direction of movements between their respective indices. Approach/Methodology/Design: The methodology adopted for the analysis is ARDL cointegration model and the Generalized Method of Moment (GMM). This is because of their known efficiency in detecting patterns between variables. Findings: The result of the short-run analysis using GMM shows that there is existence of short-run causality between the Dubai financial market (DFM) and the Nigerian stock exchange (NSE). Thus, for investors looking for short- run arbitrage opportunity between the markets, they shall look elsewhere. But, the result of bound testing has shown lack of cointegration between the two markets. This is a sign of existence of opportunities for portfolio diversification between Nigeria stock exchange and Dubai financial market, since the two markets are not cointegrated in the long-run. Practical Implications: The study helps bridge the empirical literature gap in stock market integration and portfolio diversification with reference to the Nigeria and UAE. It will, therefore, guide local and foreign investors with interest in Nigeria and UAE Stock Exchanges. It will also guide Nigerian and UAE policy makers to understand the market better, especially as it concerns financial contagion. Originality/value: This study provides further evidence on stock market integration in emerging markets. New researches shall adopt different methodology such as use of volatility tracking models to measure volatility linkage between the markets.

Highlights

  • The field of stock market linkages has received increase attention from scholars around the world due to globalisation and information technology usage

  • The Generalized Method of Moment (GMM) result show that Dubai Financial Market (DFM) is caused by Nigerian stock exchange (NSE) and NSE is caused by the DFM in the short-run

  • Dependent Variable: DFM Method: Generalized Method of Moments Date: 10/01/20 Time: 16:00 Sample: 2009M10 2019M09 Included observations: 120 after adjustments Linear estimation with 1 weight update Estimation weighting matrix: HAC (Bartlett kernel, Newey-West fixed bandwidth = 5.0000) Standard errors & covariance computed using estimation weighting matrix Instrument specification: NSE(-1) Constant added to instrument list

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Summary

Introduction

The field of stock market linkages has received increase attention from scholars around the world due to globalisation and information technology usage. The global financial crisis of 2008 and the future crises have made the topic of financial contagion a hot cake for researchers. According to a recent IMF briefing, major financial institutions around the world are not ready for future financial crisis. For example, has short-run negative effects which include wave of financial crisis (Trivedi, & Birau, 2013, Rejeb & Boughrara, 2015). There are many academic studies conducted in order to find out why stock markets around the world crashed at the same time. Most of these studies reached the conclusion that financial crises are contagious, like a global epidemic

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