scholarly journals The Impact of European Uncertainty on the Gulf Cooperation Council Markets

2017 ◽  
Vol 4 (1) ◽  
pp. 37-50
Author(s):  
Abdullah Saeed S Alqahtani ◽  
Hongbing Ouyang ◽  
Adam Ali
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Market Performance ◽  
Gulf Cooperation Council ◽  
Policy Uncertainty ◽  
European Policy ◽  
Advanced Economy ◽  
Stock Market Performance ◽  
Uncertainty Index ◽  
The Impact

Abstract The interconnectedness of global economies made it inevitable for countries to isolate themselves rather, they partner with each other majorly for economic and political gains. This often at times have a positive and negatives outcomes base on the fact that the more advanced economy tends to cast shadow on the smooth and predictable movement of some markets in the less advanced economy. On this note, it is essential for scholars to relate and determine the impact and the direction of the movement specifically with regards to stock market performance and Economic Policy Uncertainty (EPU), as it concerns the Gulf Cooperation Council (GCC) region and the continent of Europe. Hence, this study investigates the effect of the changes of European Policy Uncertainty index on net oil exporter countries of the GCC stock market performance. Using the Vector Autoregressive (VAR) methodology to estimate the result, the outcome of the result implies that the impact of the changes in European policy uncertainty index on GCC’s stock markets is negative but not significant; the effect of Dollar exchange rate and US 3-month Treasury bill rate is not significant and finally, the effect of Brent Oil price on GCC countries’ stock markets is positive and significant.

scholarly journals Challenges and Opportunities Brought to the Chinese Economy by Brexit and the New US Administration

2019 ◽  
Vol 18 (2) ◽  
pp. 145-171
Author(s):  
Lucía Morales ◽  
Bernadette Andreosso-O’Callaghan
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Global Economy ◽  
Chinese Economy ◽  
Policy Uncertainty ◽  
Donald Trump ◽  
Greater China ◽  
Stock Market Performance ◽  
The Impact ◽  
China Region

The impact of Brexit and the election of Donald Trump as the 45th US president in the context of stock market reactions and economic policy uncertainty (EPU) within three key zones in ‘the Greater China Region’ (Hong Kong, Taiwan and China Mainland) are examined in this article. The chosen research period is from January 2014 to June 2017, and the EPU Index in the USA and the UK is used as a proxy to measure political uncertainty in two of the world major economies and how they impact on the Chinese stock market. The main contribution of the article can be found in the analysis of how stock market performance can be driven by policy-related uncertainty shocks in the international context. The results show that the stock markets in the ‘Greater China Region’ did not seem to react either to the uncertainty generated by Brexit or to the election of Donald Trump, implying that the Chinese stock markets appear to be quite resilient to the recent political events that have been disrupting the global economy. JEL codes: G58, G15, G18

scholarly journals Pandemic and Indonesia Stock Market Performance

2021 ◽  
Vol 2 (4) ◽  
pp. 254-262
Author(s):  
Intan Surya Lesmana ◽  
Siti Saadah
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Market Performance ◽  
Government Policies ◽  
Likelihood Method ◽  
Symmetric Model ◽  
Asymmetric Model ◽  
Government Response ◽  
Stock Market Performance ◽  
The Impact

This study aims to analyze the impact of the COVID-19 pandemic on Indonesia’s stock market performance. Considering the characteristics of daily stock return data that shows the characteristics of volatility clustering, the analytical method used is to develop a heteroscedastic model specification whose parameters are estimated using the maximum likelihood method. Based on data from March 2020 to January 2021, this study finds that the Exponential-GARCH asymmetric model is the best model compared to the Standard-GARCH symmetric model or the asymmetric Threshold-GARCH model. The inference analysis conducted on the Exponential-GARCH asymmetric model in this study shows that the stock market's performance that is significantly affected by this pandemic is the volatility of its returns. Stock price volatility is one of the important variables in stock market performance. This study produces empirical findings that government policies on social restrictions contribute significantly to suppressing stock market volatility. As for government policies in mitigating the risk of the spread of the epidemic, in this study, it is measured through a stringency index. This index was released by the Oxford COVID-19 Government Response Tracker (OxCGRT) which monitors the government's response to the coronavirus in 160 countries and is a parameter that evaluates the policies taken by a country's government based on nine metrics. This index does not measure the effectiveness of a country's government response, but only the level of tightness. However, the results of the tests carried out in this study did not find a significant impact of pandemic indicators, the number of cases, and the number of daily deaths related to COVID-19 on stock returns.

Contribution of StockMarket Towards Economic Growth: An Empirical Study on Bangladesh Economy

2017 ◽  
Vol 13 (4) ◽  
pp. 238 ◽  
Author(s):  
Sonia Rezina ◽  
Nusrat Jahan ◽  
Mohitul Ameen Ahmed Mustafi
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Market Performance ◽  
Unit Root Test ◽  
Causality Test ◽  
Stock Market Development ◽  
Stock Market Performance ◽  
Augmented Dickey Fuller ◽  
Johansen Cointegration Test ◽  
The Impact

The economic growth of a country is influenced by many different factors. This study aims to investigate the causal relationship between stock market development and economic growth in Bangladesh as well as the impact of stock market performance upon the economic growth of Bangladesh. The stock market performance has been measured by market capitalization ratio, number of listed companies, total value traded and turnover ratio; and the economic growth was represented by real gross domestic product. The periods taken for study were from year 1994 to year 2015.The effect of the stock market reform will also be addressed to explain the relationship. The study has been conducted using Augmented Dickey- Fuller Unit Root Test, Johansen Cointegration Test and the Granger Causality Test. The findings of the research should help the policy makers and regulators to look after their interest in the financial sector of the country.

scholarly journals Evaluation of the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria

2019 ◽  
Vol 5 (2) ◽  
pp. 34 ◽  
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Sunday Mlanga
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Price Index ◽  
Market Performance ◽  
Share Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Stock Market Performance ◽  
The Impact

Stock market is an essential part of a nation’s economy and requires adequate evaluation of all factors that militate against its performance. This study investigates the role of macroeconomic variables in determining the stock market performance in Nigeria using annual time series data covering a period from 2009 to 2018. These data have been sourced from the World Bank Development Indicators, International Monetary Fund and CBN Statistical Bulletin. The results from the regression analysis indicate that exchange rate and interest rate do not have significant impact on share price index while inflation rate exerts a significant negative influence on share price index. On the contrary and in line with the concept of GDP and stock market performance, GDP significantly and positively impacts on share price index. The study among others suggests that the growth of the economy should be maintained to keep stock market flourishing while macroeconomic variables such as inflation, interest rate and exchange rate should be appropriately regulated by the relevant authorities to curtail all negative influences on stock market performance.

scholarly journals Dynamic impact of Gold Prices, Oil Prices and Exchange Rate on Stock Market Performance: A Case of Pakistan’s Stock Exchange (KSE 100 Index)

2021 ◽  
Vol 7 (1) ◽  
pp. 1-12
Author(s):  
Asif Ali ◽  
Muhammad Kamran Khan ◽  
Hamid Ullah
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Foreign Exchange ◽  
Market Performance ◽  
Oil Prices ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Term Relation ◽  
Stock Market Performance ◽  
The Impact

Currently emerging markets are passing through economic turmoil due to considerable increases in the prices of oil and gold with significant variation in the foreign exchange market. All the macroeconomic variables are touching the highest value which was never occurred in the history of Pakistan. Taking advantages of the current situation the study has examined the impact of gold prices, oil prices and exchange rate on stock market performance. For this purpose, the study has used daily data of these macroeconomic variables for the period of 2003 to 2018. By using time series data analysis, it reveals that there is no co-integration or long-term relation among these variables; however, the vector autoregressive model showed significant short-term relation among the securities market performance, foreign exchange rate, prices of oil and gold. The analysis also suggests that significant changes in the prices of oil, foreign exchange rates and the prices of gold have a negative lagged effect on the performance of the stock market.

The Impact of US Economic Policy Uncertainty Shock on GCC Stock Market Performance

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Abdullah Alqahtani ◽  
Michael Taillard
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
The United States ◽  
Policy Uncertainty ◽  
Market Returns ◽  
Stock Market Returns ◽  
Gcc Countries ◽  
Stock Market Performance ◽  
Oil Markets ◽  
The Impact

Abstract This study examines the impact of the United States’ Economy Policy Uncertainty (US EPU) shocks on the Gulf Cooperation Council (GCC) countries’ stock market returns which are heavily related through global oil markets. Using monthly data spanning from 31/01/2010 to 31/08/2018, we employ a Non-Structural Vector Autoregression (VAR) and Vector Granger Causality Tests (VGCT) in order to ascertain the magnitude of transmitted shocks and to primarily evaluate if US EPU affects stock market returns in any of the GCC countries. Our OLS and VAR results suggest that US EPU has little impact on the GCC markets with the exception of Bahrain. The Vector Granger Causality Test confirms that changes in US EPU influence returns on Qatar’s stock market. These results will help GCC nations to stabilize global energy markets and prevent economic ripples to policy shocks.

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