scholarly journals Commodity prices and stock market performance in South Africa

2014 ◽  
Vol 11 (4) ◽  
pp. 370-375 ◽  
Author(s):  
Itumeleng Pleasure Mongale ◽  
Joel Hinaunye Eita
Keyword(s):  
South Africa ◽  
Stock Market ◽  
South African ◽  
Time Series Data ◽  
Market Performance ◽  
Commodity Prices ◽  
Positive Association ◽  
Series Data ◽  
Stock Market Performance ◽  
Augmented Dickey Fuller

As an export based economy, commodity prices and stock market performances are always a course for concern in the South African economy. This paper investigates the effects of the commodity prices and selected macroeconomic variables on stock market performance. The paper uses quarterly time series data and the estimation covers the period 1994 to 2013. Using Engle-Granger two steps econometric technique, the underlying series are tested for univariate characteristics of the variables unit root by employing the Augmented Dickey-Fuller, Phillips-Perron and Kwiatkowski-Phillips-Schmidt-Shin test statistics. The findings show that an increase in commodity prices is associated with an increase in stock market performance and there is a positive association between stock market and macroeconomic such as money supply and exchange rate in South Africa.

scholarly journals The Impact of the Covid-19 epidemic on Saudi stock market performance using a Regression model and Granger causality test-Empirical Analysis

2021 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Dr.Kavita Panjwani ◽  
Mohammad Arif Riaz
Keyword(s):  
Stock Market ◽  
Regression Model ◽  
Granger Causality ◽  
Time Series Data ◽  
Market Performance ◽  
Granger Causality Test ◽  
Series Data ◽  
Causality Test ◽  
Stock Market Performance ◽  
The Impact

The objective of the study to investigates the impact of COVID-19 epidemic on Saudi stock market performance by using regression model and pairwise granger causality tests. The time series data has been taken for this study from 01 March 2020 to 6 Dec 2020. Coronavirus has been measured in terms of cumulative new corona cases per million, new corona deaths per million, total corona cases per million and total corona deaths per million, whereas stock market return is evaluated in terms of stock market index. The study’s finding reveal that Saudi stock market significance affected by COVID-19. The study also depicts that unidirectional and bidirectional relationship between corona-virus cases and Saudi stock market with the help of granger causality test. We also highlight the main the preventive policies taken by governments related to COVID-19 have affected the stock market.

scholarly journals How applicable is export-led growth and import-led growth hypotheses to South African economy?

2015 ◽  
Vol 4 (2) ◽  
pp. 15-24
Author(s):  
Ntebogang Dinah Moroke ◽  
Molebogeng Manoto
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Adverse Effect ◽  
Time Series ◽  
South African ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Reserve Bank ◽  
Equilibrium Relationship

This paper investigated exports, imports and the economic growth nexus in the context of South Africa. The paper sets out to examine if long-run and causal relationships exist between these variables. Quarterly time series data ranging between 1998 and 2013 obtained from the South African Reserve Bank and Quantec databases was employed. Initial data analysis proved that the variables are integrated at their levels. The results further indicated that exports, imports and economic growth are co-integrated, confirming an existence of a long-run equilibrium relationship. Granger causal results were shown running from exports and imports to GDP and from imports to exports, validating export-led and import-led growth hypotheses in South Africa. A significant causality running from imports to exports, suggests that South Africa imported finished goods in excess. If this is not avoided, lots of problems could be caused. A suggestion was made to avoid such problematic issues as they may lead to replaced domestic output and displacement of employees. Another dreadful ramification may be an adverse effect on the economy which may further be experienced in the long-run.

scholarly journals Bubbles in Agricultural Commodity Markets of China

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Xi-Xi Zhang ◽  
Lu Liu ◽  
Chi-Wei Su ◽  
Ran Tao ◽  
Oana-Ramona Lobonţ ◽  
...  
Keyword(s):  
Time Series Data ◽  
Commodity Prices ◽  
Commodity Price ◽  
International Markets ◽  
Series Data ◽  
Agricultural Commodity ◽  
Augmented Dickey Fuller ◽  
Negative Effect ◽  
Multiple Bubbles ◽  
Market Fundamentals

We employ the generalized supremum augmented Dickey–Fuller test to examine whether there are multiple bubbles in Chinese agricultural commodities. The proposed approach is suitable for time series data and identifies the origination and termination of multiple bubbles. The results indicate the existence of bubbles for some agricultural commodity prices, such as garlic, ginger, corn, and wheat prices, that deviate from their intrinsic values upon market fundamentals. The bubbles in the garlic and ginger market are related to speculative activities. The other bubbles, in the corn and wheat market, are associated with the rising oil price, international market, and the negative effect of stockpiling policy. The authorities should recognize bubbles and observe their evolutions, leading to Chinese agricultural commodity price stabilization. These findings suggest corresponding measures to be implemented. China should establish a unified market information release platform to avoid speculative activities and formulate a market-oriented agricultural policy to enhance competitiveness among the international markets.

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 Business cycles and stock market performance in South Africa

2015 ◽  
Vol 12 (3) ◽  
pp. 84-93
Author(s):  
Forward Muchaonyerwa ◽  
Ireen Ireen
Keyword(s):  
South Africa ◽  
Stock Market ◽  
Business Cycles ◽  
Business Cycle ◽  
Market Performance ◽  
Share Price ◽  
Real Effective Exchange Rate ◽  
Empirical Literature ◽  
Important Indicator ◽  
Stock Market Performance

The stock market is an important indicator of an economy’s financial health. It checks the mood of investors in a country. Stock market performance is a vital component of business cycle growth. Thus, this study investigates the relationship between stock market performance and business cycles in South Africa for the period 2002-2009 using monthly data. This is done by constructing a Vector Error Correction Model (VECM). The study specifies a business cycle model with the business cycle coincident indicator of South Africa being the independent variable explained by the All Share Price index (ALSI), Real Effective Exchange Rate (REER), Money Supply (M1), Inflation (CPIX) and the Prime Overdraft Rate (POR). The ALSI represents stock market performance whilst the rest of the variables are to enhance model specification. The study found a positive association between stock market performance and business cycles and this match with most of the results from the empirical literature provided

scholarly journals The impact of economic growth on unemployment in South Africa: 1994 – 2012

2015 ◽  
Vol 12 (4) ◽  
pp. 699-707
Author(s):  
Handson Banda ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
South African ◽  
Time Series Data ◽  
Positive Impact ◽  
Labour Productivity ◽  
Real Effective Exchange Rate ◽  
Series Data ◽  
Long Run ◽  
The Impact

One of the most pressing problems facing the South African economy is unemployment, which has been erratic over the past few years. This study examined the impact of economic growth on unemployment, using quarterly time series data for South Africa for the period 1994 to 2012.Johansen Co-integration reflected that there is stable and one significant long run relationship between unemployment and the explanatory variables that is economic growth (GDP), budget deficit (BUG), real effective exchange rate (REER) and labour productivity (LP). The study utilized Vector Error Correction Model (VECM) to determine the effects of macroeconomic variables thus REER, LP, GDP and BUG on unemployment in South Africa. The results of VECM indicated that LP has a negative long run impact on unemployment whilst GDP, BUG and REER have positive impact. The study resulted in the following policy recommendation: South African government should re-direct its spending towards activities that directly and indirectly promote creation of employment and decent jobs; a conducive environment and flexible labour market policies or legislations without impediments to employment creation should be created; and lastly government should prioritise industries that promote labour intensive. All this will help in absorbing large pools of the unemployed population thereby reducing unemployment in South Africa.

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 Macroeconomic Immigration Determinants: an Analysis of ‘Pull’ Factors of International Migration to South Africa

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Mulugeta Dinbabo ◽  
◽  
Themba Nyasulu
Keyword(s):  
South Africa ◽  
South African ◽  
International Migration ◽  
Time Series Data ◽  
Least Square ◽  
Annual Reports ◽  
Series Data ◽  
The South ◽  
Skilled Worker ◽  
Pull Factors

This research empirically examines the macroeconomic determinants of ‘pull’ factors of international migration in South Africa. Using the neoclassical economic model of international migration, an Ordinary Least Square (OLS) regression was run on time-series data from the World Bank data base for the period 1990-2012. Relevant data from the South African Department of Home Affairs’ Annual Reports were also used. GDP per capita, inflation rate, real interest rate, employment rate and public health expenditure were found to be the key determinants which entice migrants away from their countries and direct them to “better off” destinations. The country’s public education system, on the other hand, is not a significant attraction for foreign migrants. The study concludes that the South African government urgently needs to implement not only skilled worker-attractive immigration policies but also appropriate fiscal and monetary restructuring policies aimed at growing the economy and creating employment opportunities.

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.

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