scholarly journals Assessing the Fiscal Sustainability of Government Finances in European Countries

2013 ◽  
Vol 52 (1) ◽  
pp. 87-93
Author(s):  
Yuriy Melnykov
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Interest Rate ◽  
Unit Root ◽  
Statistical Approach ◽  
Fiscal Sustainability ◽  
European Countries ◽  
Gdp Growth ◽  
Gdp Growth Rate

This paper analyses the fiscal sustainability of government finances in the 27 EU countries and Norway using an empirical, statistical approach and ADF tests for a unit root in the time series of the differences between the GDP growth rate and the long-term interest rate, and the primary balance.

Applying the Fama and French three-factor model to analyze risk/reward in the Spanish REITs: an ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhenyu Su ◽  
Paloma Taltavull
Keyword(s):  
Growth Rate ◽  
Factor Model ◽  
Explanatory Power ◽  
Gdp Growth ◽  
Size Factor ◽  
Content Type ◽  
Gdp Growth Rate ◽  
Fama And French ◽  
Three Factor

Purpose This paper aims to analyse the risk and excess returns of the Spanish real estate investment trusts (S-REITs) using various methods, though focusing primarily on the Fama-French three-factor (FF3) model, over the period from 2007Q3 to 2017Q2. Design/methodology/approach The autoregressive distributed lag model is used for the empirical analysis to test long-term stable relationships between variables. Findings The findings indicate that the FF3 model is suitable for the S-REITs market, better explaining the S-REITs’ returns variation than the traditional single-index capital asset pricing model (CAPM) and the Carhart four-factor model. The empirical evidence is reasonably consistent with the FF3 model; the values for the market, size and value are highly statistically significant over the analysis period, with 68.7% variation in S-REITs’ returns explained by the model. In the long run, the market factor has less explanatory power than the size and value factors; the positive long-term multiplier of the size factor indicates that small S-REIT companies have higher returns, along with higher risk, while the negative multiplier of the value indicator suggests that S-REITs portfolios prefer to allocate growth REITs with low book-to-market ratios. The empirical findings from a modified FF3 model, which additionally incorporates Spain’s gross domestic product (GDP) growth rate, two consumer price index (CPI) macro-factors and three dummy variables, indicates that GDP growth rate and CPI also affect S-REITs’ yields, while investment funds with capital calls have a small influence on S-REITs’ returns. Practical implications The regression results of the standard and extended FF3 model can help researchers understand S-REITs’ risk and return through a general stock pattern. Potential investors are given more information to consider the new Spanish investment vehicle before making a decision. Originality/value The paper uses standard techniques but applies them for the first time to the S-REIT market.

scholarly journals Taxation, government spending and economic growth: The case of Bulgaria

2021 ◽  
Vol 7 (3) ◽  
pp. 255-266
Author(s):  
G. Ganchev ◽  
◽  
I. Todorov ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Tax Revenue ◽  
Gdp Growth ◽  
Real Gdp ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Short Run ◽  
The Impact

The objective of this article is to estimate the impact of three fiscal instruments (direct taxes, indirect taxes, and government expenditure) on Bulgaria’s economic growth. The study employs an autoregressive distributed lag model (ARDL) and Eurostat quarterly seasonally adjusted data for the period 1999–2020. Four control variables (the shares of gross capital formation, household consumption, and exports in GDP as well as the economic growth in the euro area) are included in the model to account for the influence of non-fiscal factors on Bulgaria’s real GDP growth rate. The empirical results indicate a long-run equilibrium relationship between Bulgaria’s economic growth and the independent variables in the ARDL. In the short term, Bulgaria’s real GDP growth rate is affected by its own past values and the previous values of the shares of direct tax revenue, exports, government consumption, and indirect tax revenue in GDP. In the long term, Bulgaria’s economic growth is influenced by its own previous values and the past values of the share of household consumption in GDP and the euro area’s real GDP growth rate. Fiscal instruments can be used to stabilize Bulgaria’s growth in the short run but they are neutral in the long run. The direct tax revenue, government consumption, and indirect tax revenue are highly effective and can be used as tools for invigorating and stabilizing Bulgaria’s economic growth in the short run. However, in the long term, the real GDP growth rate can be hastened only by encouraging domestic demand (final consumption expenditure of households) and promoting exports. This research cannot answer the question of whether flat income taxation stabilizes the economy or not, since it does not separate the impact of tax rate changes from the influence of tax base modifications.

scholarly journals FOREIGN DIRECT INVESTMENT AND EXPORT PERFORMANCE OF THE PAKISTAN COINTEGRATION AND CAUSALITY APPORACH

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdur Rahman Aleemi ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Export Performance ◽  
Gdp Growth ◽  
Local Market ◽  
Long Run ◽  
Gdp Growth Rate

FDI is a bridge between the world markets and local market and works as a way to increase the capabilities of the host country through investments that help in transfer of technology and creation of employment opportunities. The aim of this paper was to investigate the nexus of Foreign Direct Investment and the Export performance in the economic settings of Pakistan along in the presence of explanatory variables, based on well-established economic theory and long standing relationships. Supplementing the variables into a linear regression model, tested under the OLS and checked for the assumptions of normally and identically distributed errors, it was found that exports are positively affected by FDI and CPI whereas negatively affected by the interest rates in the case of Pakistan. Furthermore the long run relationship between the variables has been tested under the Johensen Cointegration test, which suggest that a long run relationship exist between the variables. Finally the direction of causality has been investigated with the help of Granger Causality test, indicating a bidirectional causality between CPI and interest rate, exports and interest rate, unidirectional causality from exports to CPI, CPI to GDP growth rate, interest rate to GDP growth rate, exports to FDI and exports to GDP growth rate.

scholarly journals Pengaruh Ekspor, Impor, dan Investasi terhadap Pertumbuhan Sektor Pertanian Indonesia

2018 ◽  
Vol 35 (1) ◽  
pp. 49
Author(s):  
NFN Suharjon ◽  
Sri Marwanti ◽  
Heru Irianto
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Impulse Response ◽  
Agricultural Sector ◽  
Gdp Growth ◽  
Agricultural Export ◽  
Absolute Value ◽  
Gdp Growth Rate ◽  
Vector Auto Regression ◽  
Auto Regression

<p><strong>English</strong><br />Promoting agricultural sector is important for improving Indonesia economic performance. The objectives of the research are to determine the effects of levels and shocks of agricultural export, import, and investment on the growth (GDP) of the Indonesian agriculture sector. The research was conducted using quarterly time series data from 2000–2015. Vector Auto Regression analysis method was applied in this study. The causality analysis shows that the agricultural export, import, and investment levels do not significantly affect the agricultural GDP growth, but the agricultural GDP growth does significantly affect the level of agricultural export, import, and investment. The impulse response analysis shows that the investment response to GDP growth shocks is higher than that of export and import responses. The variance of decomposition analysis shows that the contribution of exports to agricultural GDP growth are larger than the contribution of imports and investments. This study concludes that the absolute value of the agricultural sector export, import, and investment do not affect the sector GDP growth rate, but the agricultural sector GDP growth rate affect the absolute value of the sector export, import, and investment in Indonesia.</p><p><br /><strong>Indonesian</strong><br />Mendorong pertumbuhan sektor pertanian Indonesia adalah penting untuk peningkatan kinerja perekonomian Indonesia. Tujuan penelitian adalah mengetahui pengaruh besaran dan goncangan (shock) ekspor, impor, dan investasi sektor pertanian terhadap pertumbuhan (GDP) sektor pertanian Indonesia. Penelitian dilakukan dengan menggunakan data time series triwulanan dari tahun 2000–2015. Penelitian menggunakan metode analisis Vector Auto Regression (VAR). Hasil analisis kausalitas menunjukkan bahwa ekspor, impor, dan investasi pertanian tidak berpengaruh nyata terhadap pertumbuhan PDB sektor pertanian, namun pertumbuhan PDB sektor pertanian berpengaruh nyata terhadap ekspor, impor, dan investasi pertanian. Hasil analisis impulse response menunjukkan bahwa respons investasi terhadap goncangan pertumbuhan PDB lebih besar dibandingkan respons besaran ekspor dan impor, Analisis variance decomposition menunjukkan kontribusi ekspor terhadap pertumbuhan PDB lebih besar dibandingkan dengan kontribusi impor dan investasi. Hasil penelitian ini menyimpulkan bahwa besaran absolut ekspor, impor, dan investasi pertanian tidak berpengaruh nyata terhadap laju pertumbuhan PDB sektor pertanian, namun pertumbuhan PDB sektor pertanian berpengaruh nyata terhadap besaran ekspor, impor, dan investasi pertanian di Indonesia.</p>

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 Firm’s Characteristics and Macro-Economic Variables on Expected Stock Returns

2019 ◽  
Vol 12 (1) ◽  
pp. 59-72
Author(s):  
Shiva Raj Paudel
Keyword(s):  
Growth Rate ◽  
Interest Rate ◽  
Cash Flow ◽  
Stock Return ◽  
Negative Impact ◽  
Gdp Growth ◽  
Common Stock ◽  
Macroeconomic Variables ◽  
Gdp Growth Rate ◽  
Significant Negative Impact

This study examines the effect of firm’s characteristics and macroeconomic variables on common stock return from the firms listed in Nepal Stock Exchange (NEPSE). The explained variable for the study is stock return which is calculated as the annual capital gain yield. The explanatory variables consist of firm size, book to market equity, earning yield, cash flow yield, GDP growth, rate of inflation, real interest rate, and money supply. The data are collected from the database of NEPSE, Nepal Rastra Bank (NRB), and the annual reports of the selected firms. The study is based on the 150 observations from the 10 sample firms for the period of 15 years (from 2003/4 to 2017/18). Fixed effect panel data analysis is used to examine the effect of firm characteristics and macroeconomic variables on common stock return in Nepalese firms. The findings confirms significant negative impact of firm size, book to market equity, earning yield, and cash flow yield on stock return in Nepalese context. Among the macroeconomic variables, GDP growth rate, and interest rate have significant negative impact on stock return. Contrarily, only the rate of inflation has significant positive impact on stock return in the context of Nepal. No significant effect of money supply is observed on common stock return in the context of Nepal.

scholarly journals Predictive Analysis of Fiscal Crises with Deep Learning Time Series Model

2019 ◽  
Vol 11 (5) ◽  
pp. 21
Author(s):  
Zhou Ming Matt ◽  
Wang Man Cang
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Developing Countries ◽  
Low Income ◽  
Time Series Model ◽  
Fiscal Crisis ◽  
Predictive Analysis ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Fiscal Crises

Fiscal crisis can cause serious damage to the economy. Remarkably, there is limited study about when and how it occurs. With the social and economic data of more than 180 countries from 1970 to 2015, this paper constructs a fiscal crisis risk index system to explore the relationships between the crises and the indicators such as GDP growth rate, inflation rate, FDI, and foreign debt interests. Predictive analysis is performed based on the time series model of deep neural network to shed some light on policies and economic dynamics around the crises. We find that besides the inflation, fiscal crises in advanced economies are closely related to the net outflows of FDI and GDP p.c. while in developing countries the GDP growth rate and the net inflows of FDI are the key factors. Low-income developing countries are the heavy-hit targets with the net inflows of FDI, debt structure and interests as main contributors.

scholarly journals FOREIGN DIRECT INVESTMENT AND EXPORT PERFORMANCE OF THE PAKISTAN COINTEGRATION AND CAUSALITY APPORACH

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdur Rahman Aleemi ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Export Performance ◽  
Gdp Growth ◽  
Local Market ◽  
Long Run ◽  
Gdp Growth Rate

FDI is a bridge between the world markets and local market and works as a way to increase the capabilities of the host country through investments that help in transfer of technology and creation of employment opportunities. The aim of this paper was to investigate the nexus of Foreign Direct Investment and the Export performance in the economic settings of Pakistan along in the presence of explanatory variables, based on well-established economic theory and long standing relationships. Supplementing the variables into a linear regression model, tested under the OLS and checked for the assumptions of normally and identically distributed errors, it was found that exports are positively affected by FDI and CPI whereas negatively affected by the interest rates in the case of Pakistan. Furthermore the long run relationship between the variables has been tested under the Johensen Cointegration test, which suggest that a long run relationship exist between the variables. Finally the direction of causality has been investigated with the help of Granger Causality test, indicating a bidirectional causality between CPI and interest rate, exports and interest rate, unidirectional causality from exports to CPI, CPI to GDP growth rate, interest rate to GDP growth rate, exports to FDI and exports to GDP growth rate.

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