scholarly journals Macroeconomic factors and stock prices – A case of real estate stocks on Ho Chi Minh stock exchange

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Vo Thi Quy ◽  
Dang Thi Ngoc Loi
Keyword(s):  
Growth Rate ◽  
Real Estate ◽  
Stock Prices ◽  
Stock Price ◽  
Inflation Rate ◽  
Gdp Growth ◽  
Economic Factors ◽  
Government Bond ◽  
Gdp Growth Rate ◽  
The Relationship

This study investigates the relationship of selected economic factors such as inflation rate, 10-year Government bond yields, GDP growth rate, exchange rate, and stock trading volumes and real estate stock price of 38 real estate companies listed on HOSE in period 7 years, from January 2009 to September 2015.The study found that 3 economic factors (inflation rate, GDP growth rate, and exchange rate) impact significantly on real estate stock prices; but the relationship between 10-year Government bond yield and trading volume, and real estate stock prices was not found. The research’s results imply that these factors should be taken into account as predictors of the movement of real estate stock price in Vietnamese stock market.

scholarly journals The Relationship between Current Account Deficits and Growth in Montenegro: ARDL Bounds Testing Approach

2018 ◽  
Vol 7 (3) ◽  
pp. 5-24 ◽  
Author(s):  
Mustafa Özer ◽  
Jovana Žugić ◽  
Sonja Tomaš-Miskin
Keyword(s):  
Growth Rate ◽  
Current Account ◽  
Current Account Deficit ◽  
Gdp Growth ◽  
Bounds Testing ◽  
Current Account Deficits ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Short Run ◽  
The Relationship

Abstract In this study, we investigate the relationship between current account deficits and growth in Montenegro by applying the bounds testing (ARDL) approach to co-integration for the period from the third quarter of 2011 to the last quarter of 2016. The bounds tests suggest that the variables of interest are bound together in the long run when growth is the dependent variable. The results also confirm a bidirectional long run and short run causal relationship between current account deficits and growth. The short run results mostly indicate a negative relationship between changes in the current account deficit GDP ratio and the GDP growth rate. This means that any increase of the value of independent variable (current account deficit GDP ratio) will result in decrease of the rate of GDP growth and vice versa. The long-run effect of the current account deficit to GDP ratio on GDP growth is positive. The constant (β0) is positive but also the (β1), meaning that with the increase of CAD GDP ratio of 1 measuring unit, the GDP growth rate would grow by 0,5459. This positive and tight correlation could be explained by overlapping structure of the constituents of CAD and the drivers of GDP growth (such as tourism, energy sector, agriculture etc.). The results offer new perspectives and insights for new policy aiming for sustainable economic growth of Montenegro.

scholarly journals Domestic Debt and Economic Growth in Tanzania

2018 ◽  
Vol 1 (1) ◽  
pp. p207
Author(s):  
Josephat Lotto ◽  
Catherine T. Mmari
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Domestic Debt ◽  
Negative Effect ◽  
The Government ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

The main objective of this paper was to examine the impact of domestic debt on economic growth in Tanzania for the period 1990 to 2015 using Ordinary Least Square (OLS) regression method to estimate the effects. The study finds that there is an inverse but insignificant relationship between domestic debt and the economic growth of Tanzania as measured by GDP annual growth. The inverse relationship between domestic debt and GDP may be caused by different factors such as; increased trend in domestic borrowing, government lenders’ profile dominated by commercial banks and non-bank financial institutions which promotes the “crowding out” effect; the nature of the instruments used by the government ; the improper use of the domestic borrowed funds which may include funding budgetary deficits, paying up principal and matured obligations on debt, developing financial markets as well as fund other government operations. Other control variables relate with the GDP as predicted. For example, Inflation (INF) has a negative effect on the GDP growth rate, but the relationship is not statistically significant, while gross capital formation (GCF) has a positive statistically significant effect on GDP growth rate. Furthermore, foreign direct investment (FDI) showed a positive effect on the GDP growth rate and export (X) has a positive effect on GDP growth rate, and the relationship is statistically significant explaining that if a country applied an export-led growth economic strategy it enjoys the gains of participating in the world market. This means that an increase in export stimulates demand for goods which leads to increase in output, and as a country’s output increases, the economic performance also takes a similar trend. Finally, government expenditure (GE) had a negative effect on the GDP growth rate which may be explained by the increased government expenditures which are funded by either tax or borrowing. Therefore, what is required for countries like Tanzania is to have better debt management strategies as well as prudential financial management while maintaining to remain within the internationally acceptable debt level of 45% of GDP and maintain a GDP growth rate of not less than 5%. It is important for the country to realize from where to borrow from, the tenure, the risks involved and limitations to borrowing and thus set the right balance of combination of both kinds of debt. Another requirement is to properly utilize the borrowed funds. The central government’s objective should be to use the funds in more development-oriented projects that bring positive returns to the economic development.  The government should not only create a right environment and policies for investment to attract investment from domestic and foreign sources but also be cautious about the kind of investments that the foreign investors make.

scholarly journals INVESTMENT AND ECONOMIC GROWTH: THE EXAMPLE OF BOSNIA AND HERZEGOVINA

2021 ◽  
pp. 21-41
Author(s):  
Jelena Bjelić
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Bosnia And Herzegovina ◽  
Foreign Investment ◽  
Added Value ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Total Investment ◽  
The Impact ◽  
The Relationship

An investment is a factor of the economic growth and a mandatory constituent in the majority of development models. This study analyzes the impact of the gross investment on the economic growth in Bosnia and Herzegovina (BiH) for the period 2005-2017, and provides the assessment of the interdependence of investment and a newly added value in industry. The relationship between the foreign investment and the economic growth is also included. The dependent variables are the GDP growth rate and the added value in industry (as % of GDP). The independent variables are the total investment rate (as % of GDP) and the foreign investment rate (as % of GDP). The hypothesis is that the gross investment and the foreign investment are positively correlated with the GDP growth rate. The investments contribute to a higher newly added value in industry. The results show that the gross investment is a significant factor of the economic growth because there is a high significance and positive correlation between the observed variables (the total investment and the GDP growth). This shows that the investment growth stimulates the economic growth in Bosnia and Herzegovina. But the dynamic analysis as an investment-GDP ratio shows oscillations. The impact of investments on the share of the newly added value in industry is insignificant and negative. The results of the dynamic analysis are similar. The relationship between the variables of the foreign investment rates and the GDP growth is significant and positive. Although the foreign investments are not sufficient, they still contribute, to a certain extent, to the economic growth of BiH.

scholarly journals Impact of Foreign Exchange Rate and Inflation Rate on the Economic Growth of India

2019 ◽  
Vol 8 (4) ◽  
pp. 4333-4335
Keyword(s):  
Growth Rate ◽  
Exchange Rate ◽  
Foreign Exchange ◽  
Inflation Rate ◽  
Linear Regression Analysis ◽  
Foreign Exchange Rate ◽  
Gdp Growth ◽  
Economic Progress ◽  
Gdp Growth Rate ◽  
The Impact

This paper tries to investigate the impact of foreign exchange rate and inflation rate on the economic progress of India. In this study the economic progress has been measured by annual GDP ( Gross Domestic Product ) growth in India. Correlation analysis and multiple regression model have been designed to explore the relationship among the mentioned three variables. The annual GDP growth of India has been considered as the dependent variable and the other two macroeconomic variables ( Foreign exchange rate and inflation rate ) have been considered as the independent variables. Secondary sources of data have been gathered to arrive at a logical conclusion. The results show a positive correlation between GDP growth rate and the foreign exchange rate and a negative correlation between the GDP growth rate and the inflation rate. Results from the linear regression analysis show that inflation rate has a strong influence or impact on the GDP growth rate than the foreign exchange rate. It is expected that the present study will help the policy makers and the researchers to understand the impact of foreign exchange rate and inflation rate on the GDP growth in India

scholarly journals The Impact of Government Size on Inflation in selected Developing Countries (2006-2014)

2018 ◽  
pp. 71-90
Keyword(s):  
Growth Rate ◽  
Developing Countries ◽  
Panel Data ◽  
Interest Rate ◽  
Inflation Rate ◽  
Government Size ◽  
Gdp Growth ◽  
Money Growth ◽  
Gdp Growth Rate ◽  
The Impact

One of the serious challenges facing developing countries that are facing is the issue of inflation. Inflation creates serious challenges for economic agents as a result of the greatly damaging effects of economic and economic growth. Despite the general understanding of the concept of inflation, there is still no agreement between economists on the causes of its creation. The present study examines the impact of government size on inflation in 16 selected developing countries (Afghanistan, India, Iran, Malaysia, Mexico, Argentina, Qatar, Singapore, Kuwait, Pakistan, Uruguay, Benon, Nepal, Mali, Vietnam and Bhutan) will be tested during the period from 2006 to 2014. The pattern examined for this purpose, using the combination (panel) data in the least squared method completely, for the investigated pattern for this purpose, using generalized least squares panel data, toinvestigate the effect of each of the variables of government size, the index of import value, interest rate, Money and quasi money growth rate and GDP growth rate used on the Inflation rate. The results of this research indicate that the Money and quasi money growth rate, interest rate and growth rate of the import value index had a positive and significant effect on the inflation rate, and the GDP growth rate had a negative and significant effect on the inflation rate. Also, the main independent variable of government size model has had a negative and significant impact on inflation in the studied countries.

scholarly journals Impacts of Macroeconomic Variables on the Stock Market Returns of South Asian Region

2020 ◽  
pp. 24-34 ◽  
Keyword(s):  
Growth Rate ◽  
Exchange Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Foreign Currency ◽  
Currency Reserve ◽  
Gdp Growth ◽  
Market Returns ◽  
Stock Market Returns ◽  
Gdp Growth Rate

This paper is intended to find out whether macroeconomic variables may impact on the stock market as well as whether such impact has any country specific pattern. The stock market return was taken as the dependent variable and real interest rate, inflation rate, GDP growth rate, foreign currency reserve growth rate, fiscal deficit, FDI to GDP ratio, exchange rate were taken as independent variables. Data-set was covered from 1993 to 2019 for five South Asian countries which were Bangladesh, India, Pakistan, Sri Lanka, and Nepal. The pattern of the stock market, as well as macro conditions of these countries, was observed and it was found that some relationships exist between the stock market returns and these chosen independent variables. Unit root test, Heteroscedasticty test, autocorrelation test, Hausman test is conducted to authenticate and clarified data to investigate relationship nature. Granger Casualty test indicated that there exist cause and effect relationship between GDP growth rate, exchange rate, and stock market returns. Finally, the regression test reveals that the inflation rate and foreign currency reserve growth rate have a significant impact on the stock market returns. It was expected to have the unique nature of different countries having versatile impact on dependent, so additionally fixed effects model and random effects model were run and it was found that the random effects model is statistically appropriate through conducting the Hausman test. The test reveals that GDP growth rate, foreign currency reserve growth rate, and fiscal deficit positively impact the stock market returns and these also support the literature review. Interest rates, inflation rate, FDI to GDP ratio, and exchange rate have negatively impacted the stock market return where only interest rate, inflation rate & exchange rate.

Estimating Barro misery index in democratic states with application in Albania: 2005 – 2014

2016 ◽  
Vol 4 (2) ◽  
pp. 142
Author(s):  
Fejzi Kolaneci ◽  
Juxhen Duzha ◽  
Enxhi Lika
Keyword(s):  
Growth Rate ◽  
Central Limit Theorem ◽  
Limit Theorem ◽  
Central Limit ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Misery Index ◽  
Fair Game

In the present study we develop a statistical analysis of the Barro misery index and its components in contemporary democratic states with application in Republic of Albania during the period January 2005- December 2014. BMI is calculated by the formula: BMI = ? + u – GPD + i, where BMI denotes quarterly Barro misery index, ? denotes quarterly inflation rate, u denotes quarterly unemployment rate, GDP denotes quarterly real GDP growth rate, i denotes nominal long-term interest rate. Kolmogorov’s Central Limit Theorem is a fundamental theorem of Modern Probability Theory “Fair game” and “Effective market in week sense” are important concepts of Macroeconomics. Some results of the study include : Kolmogorov’s Central Limit Theorem is not valid for quarterly inflation rates in Albania during the period January 2005- December 2014 at the confidence 99. 9%. The inflation process in Albania during the specified period, related to the quarterly inflation rate, is an unfair game at the confidence 98. 8%. The inflation process in Albania during the specified period, related to the quarterly inflation rate, is not effective at the confidence 97. 5% Kolmogorov’s Central Limit Theorem is not valid for quarterly unemployment rates in Albania during the specified period at the confidence 99. 9%. The unemployment process in Albania during the specified period, related to the quarterly unemployment rate, is an unfair game at the confidence 99. 9%. The unemployment process in Albania during the specified period, related to the quarterly unemployment rate, is not effective at the confidence 99. 9% The official data of the quarterly GDP growth rate for Albania during the specified period contradict Kolmogorov’s Central Limit Theorem at the confidence 77. 1%. The GDP growth rate process for Albania during the specified period is a fair game at the confidence 86. 4%. The GDP growth rate process for Albania during the specified period is not effective at the confidence 99. 9%. The official data of the quarterly Barro misery index for Albania during the specified period contradict Kolmogorov’s Central Limit Theorem at the confidence 96. 1%. The Barro misery index for Albania during the specified period is a fair game at the confidence 84. 8%. The Barro misery index process for Albania during the specified period is not effective at the confidence 63. 7%.

Energy constraints on economic growth

2020 ◽  
pp. 8-17
Author(s):  
V. Tsibulskiy
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Energy Consumption ◽  
World Economy ◽  
Gdp Growth ◽  
Domestic Economy ◽  
Russian Economy ◽  
Gdp Growth Rate ◽  
The World ◽  
The Relationship

The article presents analytical estimates of the relationship between such economic characteristics as gross domestic product, energy consumption and the degree of complexity of the economy, characterized by the number of stages of product conversion. These estimates are largely based on statistics for the world economy and the Russian economy. Considering, within the framework of the presented model, the possibility of increasing the GDP growth rate of the domestic economy will require a signifi cant reduction in energy tariff s and an increase in the scale of its production.

scholarly journals Macroeconomic factors, firm characteristics and financial performance

2018 ◽  
Vol 3 (2) ◽  
pp. 142-168 ◽  
Author(s):  
Chinedu Francis Egbunike ◽  
Chinedu Uchenna Okerekeoti
Keyword(s):  
Growth Rate ◽  
Exchange Rate ◽  
Financial Performance ◽  
Inflation Rate ◽  
Manufacturing Firms ◽  
Gdp Growth ◽  
Firm Characteristics ◽  
Macroeconomic Factors ◽  
Content Type ◽  
Gdp Growth Rate

Purpose The purpose of this paper is to explore the interrelationship between macroeconomic factors, firm characteristics and financial performance of quoted manufacturing firms in Nigeria. Specifically, the study investigates the effect of interest rate, inflation rate, exchange rate and the gross domestic product (GDP) growth rate, while the firm characteristics were size, leverage and liquidity. The dependent variable financial performance is measured as return on assets (ROA). Design/methodology/approach The study used the ex post facto research design. The population comprised all quoted manufacturing firms on the Nigerian Stock Exchange. The sample was restricted to companies in the consumer goods sector, selected using non-probability sampling method. The study used multiple linear regression as the method of validating the hypotheses. Findings The study finds no significant effect for interest rate and exchange rate, but a significant effect for inflation rate and GDP growth rate on ROA. Second, the firm characteristics showed that firm size, leverage and liquidity were significant. Practical implications The study has implications for regulators and policy makers in formulating policy decisions. In addition, managers may better understand the interplay between macroeconomic factors, firm characteristics and profitability of firms. Originality/value Few studies have addressed the interplay of macroeconomic factors and firm characteristics in determining the profitability of manufacturing firms in the country and developing countries in general.

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