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.

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 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.

scholarly journals Stress Testing of Banking Systems: an examination against the Shocks of Macroeconomic Variables

2021 ◽  
Vol 9 (SPE1) ◽  
Author(s):  
Kamiar Askari ◽  
Fatemeh Sarraf ◽  
Roya Darabi ◽  
Fatemeh Zandi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Exchange Rate ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Gdp Growth ◽  
Economic Growth Rate ◽  
Macroeconomic Variables ◽  
Gdp Growth Rate ◽  
Default Rates

In the past years, overdue due receivables of the banks have increased in an unprecedented way compared to all the facilities granted in Iran’s banking network, showing the not very acceptable quality of bank assets that decrease the bank credit and make them financially unstable. The macroeconomic variables in this article are as follow: GDP growth rate, economic growth, exchange rate, inflation rate, unemployment rate, government debt. The decrease in this amount of arrears shows the ability of banks to maintain their resources. At this research, after identifying the macroeconomic variables affecting the default of banks using the stress test and applying one standard deviation with the help of the historical scenario, the study examined the banks’ resilience to the shocks of these variables from 2006 to 2019. The results indicated that the shock of the economic growth rate had the greatest effect. In other words, the decrease in the economic growth rate had the greatest effect on the increase of borrowers’ default rates. In addition to this, shocks of economic growth and government debt have highly effect on the borrowers’ default rates and inflation rate, unemployment rate, GDP growth rate and exchange rate have a significant impact upon borrowers’ default rates.

scholarly journals Domestic Investment, Foreign Direct Investment and Macroeconomic Stability in Nigeria

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Saliu Mojeed Olanrewaju ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Direct Investment ◽  
Inflation Rate ◽  
Oil Price ◽  
Gdp Growth ◽  
Domestic Investment ◽  
Real Gdp ◽  
Gdp Growth Rate

This study examines the relationship between the two major investment components (domestic investment and foreign direct investment) and macroeconomic stability in Nigeria. In order to capture the macroeconomic stability, some selected macroeconomic variables are presented, namely: real GDP growth rate (RGDPgr), trade openness (TOP), exchange rate (EXR), inflation rate (INFR), interest rate (INTR), private sector credit (PSC) which represent domestic variables and world oil price (WOP) which represent foreign variable. The study employs Johansen cointegration and Vector Autoregressive model as the estimation techniques. Findings from the study reveals that there is no long-run relationship between the selected macroeconomic variables and the two investment variables. The study also reveals that shocks and fluctuations from real GDP growth rate (RGDPgr), private sector credit (PSC), inflation rate (INFR), interest rate (INTR), exchange rate (EXR) and world oil price (WOP) strongly and significantly affect domestic investment in Nigeria; while the shocks and instabilities arising from real GDP growth rate (RGDPgr), inflation rate (INFR), interest rate (INTR), exchange rate (EXR), trade openness (TOP) and world oil price (WOP) majorly and significantly affect foreign direct investment in Nigeria during the period under review. The study therefore recommends that Nigerian government should provide stability measures in all the aforementioned macroeconomic indicators, as this will attract a higher level of FDI and this will create an enabling business environment for domestic investment to operate.

Cross-border merger and acquisition activities in Asia: the role of macroeconomic factors

2018 ◽  
Vol 35 (2) ◽  
pp. 307-329 ◽  
Author(s):  
Yusnidah Ibrahim ◽  
Jimoh Olajide Raji
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Inflation Rate ◽  
Merger And Acquisition ◽  
The Philippines ◽  
Macroeconomic Factors ◽  
Content Type ◽  
Cross Border ◽  
Asean Countries

Purpose This paper aims to examine the influence of key macroeconomic factors on the inward and outward acquisition activities of six ASEAN (ASEAN: Association of Southeast Asian Nations) countries, namely, Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam, over the 1996-2015 period. Design/methodology/approach The study uses alternative panel data methods, including pooled mean group, mean group and dynamic fixed-effect estimators. Findings The results indicate that gross domestic product (GDP), interest rate, exchange rate, money supply and inflation rate are the most important macroeconomic factors explaining the trends of cross-border mergers and acquisition outflows of the ASEAN-6 countries. Specifically, GDP, money supply and inflation rate have significant positive relationships with acquisition outflows, while interest rate and exchange rate exert significant negative influence. On the other hand, the authors find four significant macroeconomic factors explaining the trends of the inward acquisitions. Essentially, GDP, money supply and inflation rate have significant positive impacts on inward acquisitions, while the impact of exchange rate is negatively significant. Research limitations/implications Unavailability of data limits this study to pool six sample countries from ASEAN, instead of ten representative member countries. Practical implications The results of this study can signal to firms or investors, involving in cross-border mergers and acquisitions, where to direct foreign resources flows. Moreover, having the knowledge about the relative levels of market size and other macroeconomic factors in both home and host countries can be of great importance for investment decision. Therefore, policymakers of ASEAN countries should make appropriate macroeconomic policies that can stimulate inward and outward acquisitions. Originality/value The main contribution of this paper is that it is the first to present the analysis of macroeconomic influences on the trends of inward and outward merger and acquisition activities in six ASEAN countries.

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 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 Factors Affecting Financial Performance of Tourism Destination Firms Listed on Stock Exchanges in China

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Dingchen Cui
Keyword(s):  
Growth Rate ◽  
Financial Performance ◽  
Negative Impact ◽  
Positive Impact ◽  
Stock Exchange ◽  
Secondary Data ◽  
Total Asset ◽  
Gdp Growth ◽  
Tourism Destination ◽  
Gdp Growth Rate

Purpose: the aim of this research is to test the effect of financial ratio on the financial performance of tourism destination firms listed on stock exchange in China. The research selected ratios: current ratio (CR) as a dimension of liquidity, total asset turnover ratio (TATR) as a dimension of asset utilization, debt ratio (DE) as a dimension of leverage, natural logarithm of total asset (LNTA) as a dimension of firm size, GDP growth rate as a dimension of economic prosperity, and effective tax rate as a dimension of effective tax. This research will use return on asset (ROA), return on sales (ROS), return on equity (ROE) and sales growth (SG) to determine the financial performance. Since stock exchange founded in China, tourism destination firm developed very fast. However tourism destination listed firms have weakness financial performance. Design/methodology/approach: the research data collected from quarterly financial report, from 2012 Q1 to 2018 Q4. The secondary data has been analyzed by multiple regression. Finding: the result indicate that CR, TATR, GDP growth rate have positive impact on financial performance. While DE has negative impact on financial performance. And LNTA has a mix result with financial performance. Originality/value: This study led to the effect of financial ratios on tourism’s financial performance since past researches with this aim were difficult to identify and certain references were not specifically linked to the topic.

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%.

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