scholarly journals Tax, financial and macroeconomic factors of corporate giving in the context of the Czech economy

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Marek Halada
Keyword(s):  
Macroeconomic Factors ◽  
Corporate Giving

Pengaruh Faktor Fundamental, Risiko Sistematis Dan Ekonomi Makro Terhadap Return Saham Syariah Yang Tergabung Di Jakarta Islamic Index (JII) Pada Periode 2010 – 2014

2017 ◽  
Vol 24 (1) ◽  
pp. 54-70
Author(s):  
Hasanah Setyowati ◽  
Riyanti Ningsih
Keyword(s):  
Exchange Rate ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Secondary Data ◽  
Analysis Model ◽  
Macroeconomic Factors ◽  
Return On Equity ◽  
Equity Ratio ◽  
Regression Techniques ◽  
The Exchange Rate

This study aimed to obtain empirical evidence on the influence of fundamental factors, systematic risk and macroeconomics on the returns Islamic stock of companies incorporated in the Jakarta Islamic Index in 2010-2014. The variables used were the fundamental factors that are proxied by Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER); Systematic risk is proxied by Beta Shares; macroeconomic factors is proxied by the inflation rate and the exchange rate. The samples of this study are the enterprises incorporated in Jakarta Islamic Index (JII) at the Indonesian Stock Exchange. The sampling method was using purposive sampling. There were 12 samples of Islamic stocks that meet the criteria to be used as samples. The analysis model used is multiple linear regression techniques and the type of data used is secondary data. The study found that all variables, which are Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER), Beta stock, inflation and the exchange rate do not significantly affect the return of sharia stock either simultaneously or partially.

Estimasi Pengaruh Faktor Internal Bank dan Stabilitas Makroekonomi terhadap Profitabilitas dengan Mediasi Rasio Pembiayaan Bermasalah di PT Bank Muamalat Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 93-108
Author(s):  
Annisa Siti Fathonah ◽  
Dadang Hermawan
Keyword(s):  
Secondary Data ◽  
Financial Statements ◽  
Significant Positive Effect ◽  
Return On Assets ◽  
Internal Factors ◽  
Macroeconomic Factors ◽  
Operating Income ◽  
Significant Negative Effect ◽  
Negative Effect ◽  
Positive Effect

This study aims to determine and analyze how much influence the bank's internal factors such as Equity, Operational Costs per Operating Income (BOPO), Financing Deposit to Ratio (FDR), Non Performing Financing (NPF) as a mediator and external or macroeconomic factors namely inflation and Gross Domestic Product (GDP) on profitability represented by Return on Assets (ROA) at Bank Muamalat Indonesia for the period 2008-2018. The data used in this research are secondary data obtained from the publication of quarterly financial statements from 2008 to quarter 2 of 2018. The method that used in this research is path analysis with SPSS 20.0 as the analytical tool. The results of the study partially test the hypothesis (t-test), in substructure I shows that the capital variable has a significant negative effect on NPF, BOPO and inflation has a significant positive effect on NPF, FDR and GDP do not significantly influence NPF at Bank Muamalat Indonesia. In substructure II partially, Capital, BOPO, significant negative effect on ROA, FDR and NPF has a significant positive effect on ROA, Inflation and GDP does not significantly influence ROA while simultaneously significantly influencing ROA. Based on the sobel test, capital has a significant effect on ROA through NPF, BOPO has a significant effect on ROA through NPF, FDR has a significant effect on ROA through NPF, Inflation has a significant effect on ROA through NPF, while GDP has no significant effect on ROA through NPF.

Macroeconomic Factors and Stock Price in Malaysia

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Bavani Chandra Kumar ◽  
◽  
Anfah Haji Yusof Goh ◽  
Keyword(s):  
Stock Price ◽  
Macroeconomic Factors

Macroeconomic Factors and Pakistani Equity Market”

2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen
Keyword(s):  
Stock Market ◽  
Industrial Production ◽  
Stock Prices ◽  
Stock Price ◽  
Consumer Price Index ◽  
Reverse Causality ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

The Random Forest Method in Research of Impact of Macroeconomic Indicators of Regional Development on Informal Employment Rate

2020 ◽  
Vol 27 (6) ◽  
pp. 37-55
Author(s):  
E. V. Zarova ◽  
E. I. Dubravskaya
Keyword(s):  
Random Forest ◽  
Regional Development ◽  
Russian Federation ◽  
Regional Level ◽  
Informal Employment ◽  
Macroeconomic Factors ◽  
Random Forest Method ◽  
Macroeconomic Indicators ◽  
The Russian Federation ◽  
The Impact

The topic of quantitative research on informal employment has a consistently high relevance both in the Russian Federation and in other countries due to its high dependence on cyclicality and crisis stages in economic dynamics of countries with any level of economic development. Developing effective government policy measures to overcome the negative impact of informal employment requires special attention in theoretical and applied research to assessing the factors and conditions of informal employment in the Russian Federation including at the regional level. Such effects of informal employment as a shortfall in taxes, potential losses in production efficiency, and negative social consequences are a concern for the authorities of the federal and regional levels. Development of quantitative indicators to determine the level of informal employment in the regions, taking into account their specifics in the general spatial and economic system of Russia are necessary to overcome these negative effects. The article proposes and tests methods for solving the problem of assessing the impact of hierarchical relationships on macroeconomic factors at the regional level of informal employment in constituent entities of the Russian Federation. Majority of the works on the study of informal employment are based on basic statistical methods of spatial-dynamic analysis, as well as on the now «traditional» methods of cluster and correlation-regression analysis. Without diminishing the merits of these methods, it should be noted that they are somewhat limited in identifying hidden structural connections and interdependencies in such a complex multidimensional phenomenon as informal employment. In order to substantiate the possibility of overcoming these limitations, the article proposes indicators of regional statistics that directly and indirectly characterize informal employment and also presents the possibilities of using the «random forest» method to identify groups of constituent entities of the Russian Federation that have similar macroeconomic factors of informal employment. The novelty of this method in terms of research objectives is that it allows one to assess the impact of macroeconomic indicators of regional development on the level of informal employment, taking into account the implicit, not predetermined by the initial hypotheses, hierarchical relationships of factor indicators. Based on the generalization of the studies presented in the literature, as well as the authors’ statistical calculations using Rosstat data, the authors came to the conclusion about the high importance of macroeconomic parameters of regional development and systemic relationships of macroeconomic indicators in substantiating the differentiation of the informal level across the constituent entities of the Russian Federation.

Estimation of economic specialization of Ukrainian regions in the context of global trends

2019 ◽  
pp. 24-31
Author(s):  
Svitlana Ishchuk ◽  
Lyubomyr Sozanskyy
Keyword(s):  
National Economy ◽  
Economic Activity ◽  
Commodity Prices ◽  
Value Added ◽  
High Tech ◽  
Agricultural Commodity ◽  
Macroeconomic Factors ◽  
Gross Value Added ◽  
Its Regions ◽  
Economic Specialization

The scale and deep heterogeneity of the national economy of Ukraine in the regional context make the relevance of scientific research in this thematic area. The purpose of the article is to determine the economic specialization of the regions of Ukraine by key economic activities contributing to the formation of gross value added, as well as outlining the potential risks to the national economy, taking into account the situation on world commodity markets. The results of the research showed that one of the consequences of the unstable dynamics of industrial production in Ukraine under the influence of geopolitical and macroeconomic factors is the reduction of industrial specialization of the economy of a number of Ukrainian regions. Thus, in 2017 the manufacturing was the leading economic activity (with the highest share in the gross value added created) in 11 regions, compared to 15 in 2012. So Poltava, Donetsk, Dnipropetrovsk and Zaporizhzhya regions are considered to be “highly industrial”. At the same time, the agrarian specialization of the economy of Ukraine and its regions deepened – in 2017 agriculture became the leading type of economic activity in 11 regions (compared to 7 in 2012). The most “agrarian” in Ukraine (with a share of agriculture in gross value added over 30%) in 2017 became the Kherson, Kirovohrad and Khmelnytsky regions. Increasing the level of “agrarianization” of the national economy in the context of volatility of agricultural commodity prices on the world markets poses significant risks for the socio-economic development of Ukraine and its regions. These risks are exacerbated by the high amplitude of fluctuations in the volume and structure of domestic agricultural products and the low degree of processing of raw materials. To improve the structure of domestic commodity exports (in the direction of increasing its share of products with a higher degree of processing) and to deepen its diversification, a number of measures should be carried out aimed at stimulating export activity of enterprises (industrial and agro-industrial), carrying out technical and technological re-equipment of industrial and export production bases, creation of new high-tech industries on the basis of the implementation of powerful innovation and investment projects.

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