scholarly journals The effect of Euribor on banking profitability: evidence from the Spanish banking system

2021 ◽  
Vol 10 (1) ◽  
pp. 5-29
Author(s):  
David Boto-García ◽  
Antonio Álvarez ◽  
José Francisco Baños Pino
Keyword(s):  
Inverse Relationship ◽  
Banking Sector ◽  
Time Series Data ◽  
Yield Curve ◽  
Banking System ◽  
Series Data ◽  
Time Effects ◽  
Bond Yield ◽  
The Relationship ◽  
Macroeconomic Environment

This paper studies the relationship between the Euribor rate and the return on average assets (ROAA) of the Spanish banking sector. We use quarterly time series data for the period 1995-2016. Our analysis also controls for bank factors, market concentration, the macroeconomic environment and time effects. The main purpose is to examine how the sector's ROAA varies with the slope of the yield curve. We find evidence of an inverse relationship between the Euribor rate and profitability. We also show that banking profitability is pro-cyclical and is positively related to the stock of performing loans and the national 10-year bond yield.

scholarly journals Investigating the Market Interest Rate on Commercial Banks Financial Performance in Bangladesh

2021 ◽  
Vol 5 (1) ◽  
pp. 3-12
Author(s):  
Debashis Saha ◽  
Prodip Chandra Bishwas ◽  
Md. Mustofa Ahmed Sumon
Keyword(s):  
Interest Rate ◽  
Financial Performance ◽  
Commercial Banks ◽  
Financial Stability ◽  
Banking Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Market Interest Rate ◽  
The Relationship

The banking sector is the most vital partner of development for countries' economies. It has a remarkable contribution to the country's Gross Domestic Product. This study investigates the relationship between the market interest rate and commercial banks' financial performance. As Bangladesh's banking industry is growing, it is vital to maintain a more robust profitability level for its financial stability and soundness. Banks have some determinants that have a significant impact on their performance. The convenience sampling method is used to select the targeted sample. The study includes the time series data of eight years of fifteen commercial banks listed on the Dhaka Stock Exchange in Bangladesh. Multiple variable linear regression and correlation analysis are performed to examine the relationship of market interest rate with banks' profitability with statistical software, IBM SPSS version 25, and Microsoft excel. The study explored that the market interest rate has a significant positive impact on banks' profitability. It is also found that the lending rate and interest rate spread are significantly correlated with the banks' financial performance. The study recommended that banks make their investment to make a higher profit margin to enhance their management and financial soundness efficiency.

scholarly journals Influence De La Bancarisation Et Du Credit Bancaire Sur La Croissance Economique Dans La Zone Cemac

2016 ◽  
Vol 12 (31) ◽  
pp. 373
Author(s):  
Noula Armand Gilbert ◽  
Bkwayep Nguemnang Y. Rodrigue ◽  
Mba Fokwa Arsène
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Time Series Data ◽  
Least Squares Method ◽  
Banking System ◽  
Generalized Least Squares ◽  
Bank Credit ◽  
Series Data ◽  
Cd Rom ◽  
Explanatory Variables

The CEMAC countries have decided to develop the banking sector to ensure economic growth48 for a sustainable development, given that the banking system leads to investments. Our study aims at analyzing the influence of bank credit and banking rate on economic growth in the CEMAC zone from time series data during 1980-2014 (CD -ROM, WBI- 2014). The econometric analysis that we have chosen was inspired by the generalized least squares method. The model we preferred was that of Hague (2000) where the Gross Domestic Product is the dependent variable for assessing the level of economic growth while the bank credit and the banking rate are the main explanatory variables. The results indicate that the variables are significant thus, the banking rate affects economic growth positively. Following these results one could think about new strategies that will help increase the banking rate which is still very low in the Sub-region.

scholarly journals THE RELATIONSHIP BETWEEN MARKET INTEREST RATE AND COMMERCIAL BANK FINANCIAL PERFORMANCE IN BANGLADESH

2021 ◽  
Vol 9 (01) ◽  
pp. 537-543
Author(s):  
Debashis Saha ◽  
◽  
Prodip Chandra Bishwas ◽  
Md. Mustofa Ahmed Sumon ◽  
◽  
...  
Keyword(s):  
Interest Rate ◽  
Financial Performance ◽  
Commercial Banks ◽  
Financial Stability ◽  
Banking Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Market Interest Rate ◽  
The Relationship

The banking sector is the strongest partner of development for countries economy as it has a remarkable contribution to the countrys Gross Domestic Product. This study aims to find out the relationship between the market interest rate and commercial banks financial performance. As the banking industry of Bangladesh is a growing industry, therefore, it is very necessary to maintain a stronger level of profitability for the banks financial stability and soundness. Banks have some determinants that have a significant impact on their performance. The convenience sampling method is used to select the targeted sample. The study includes the time series data of eight years of fifteen commercial banks that are listed on the Dhaka Stock Exchange in Bangladesh. Multiple variable linear regression and correlation analysis are performed to find out the relationship of market interest rate with banks profitability with the help of statistical software, SPSS 25, and Microsoft excel. The study explored that the market interest rate has a significant positive impact on banks profitability. It is also found that the lending rate and interest rate spread are significantly correlated with the banks financial performance. The study recommended that banks should make their investment in a way so that they can make a higher level of profit margin that can enhance their efficiency of management as well as the financial soundness.

scholarly journals Analysis of the Turkish Islamic banking sector using CAMEL and Similarity Analysis methods

2020 ◽  
Vol 70 (2) ◽  
pp. 275-296
Author(s):  
József Varga ◽  
Gyöngyi Bánkuti ◽  
Rita Kovács-Szamosi
Keyword(s):  
Time Series ◽  
Banking Sector ◽  
Time Series Data ◽  
Banking System ◽  
Series Data ◽  
Similarity Analysis ◽  
Islamic Banking ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Hierarchy Process

AbstractRating the reliability of banks has always been an important practical problem for businesses and the economic policy makers. The best way to do this is the CAMEL analysis. The aim of this paper was to create a bank-rating indicator from the five fields of the CAMEL analysis using two-two indicators for each field for the Turkish Islamic banking system. According to the results of the analysis, we could rank the Turkish Islamic banks. Beside the widespread use of the CAMEL analysis, we applied the Similarity Analysis as a new method. We compared the results from the two methods and came to the conclusion that the CAMEL analysis does not adequately provide a fairly shaded picture about the banks. The Component-based Object Comparison for Objectivity (COCO) method gave us the yearly results in time series form. The comparison of the time series data leads to the problem of deciding about what is more important for us – average, standard deviation or the slope. For handling this problem, we used Analytic Hierarchy Process, which gave weights to these indicators.

scholarly journals THE IMPACT OF EXTERNAL DEBT ON ECONOMIC GROWTH IN GHANA

2021 ◽  
pp. 1-10
Author(s):  
Adubofour Isaac ◽  
Mangudhla Tinashe ◽  
Dadzie Benjamin Mensah
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Inverse Relationship ◽  
Direct Relationship ◽  
Time Series Data ◽  
External Debt ◽  
Series Data ◽  
The Impact ◽  
The Relationship

The debt position of a country is crucial to the growth of its economy. We argue with empirical basis in this study that, external debt has impact on the growth of Ghana’s economy. A time- series data, spanning from 1991-2019 was analyzed. The findings of the study suggested a statistically significant and inverse relationship between external debt and economic growth. It is also argued in the study that, Ghana’s inflation regime has a significant impact on the growth of her economy. The study further verified the relationship between foreign direct investment and economic growth in Ghana. Results of the study revealed a significant and direct relationship between foreign direct investment in Ghana and the growth of the country’s economy. A test on granger causality found no causal linkage between external debt and economic growth in Ghana. The contribution of the study was finally discussed and limitations stated to serve as a guide for future study.

Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables

2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Series Data ◽  
Ripple Effect ◽  
Macroeconomic Factors ◽  
Parameter Instability ◽  
Macroeconomic Variables ◽  
The Relationship

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.

scholarly journals Non-bank financial institutions and economic growth: Evidence from Africa’s three largest economies

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Ronald Rateiwa ◽  
Meshach J. Aziakpono
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Financial Institutions ◽  
Time Series Data ◽  
Bank Lending ◽  
Series Data ◽  
The Sustainable Development ◽  
Long Run ◽  
The Relationship

Background: In order for the post-2015 world development agenda – termed the sustainable development goals (SDGs) – to succeed, there is a pronounced need to ensure that available resources are used more effectively and additional financing is accessed from the private sector. Given that traditional bank lending has slowed down, the development of non-bank financing has become imperative. To this end, this article intends to empirically test the role of non-bank financial institutions (NBFIs) in stimulating economic growth.Aim: The aim of this article is to empirically test the existence of a long-run equilibrium relationship between economic growth and the development of NBFIs, and the causality thereof.Setting: The empirical assessment uses time-series data from Africa’s three largest economies, namely, Egypt, Nigeria and South Africa, over the period 1971–2013.Methods: This article uses the Johansen cointegration and vector error correction model within a country-specific setting.Results: The results showed that the long-run relationship between NBFI development and economic growth is relatively stronger in Egypt and South Africa, than in Nigeria. Evidence in respect of Nigeria shows that such a relationship is weak. The nature of the relationship between NBFI development and economic growth in Egypt is positive and significant, and predominantly bidirectional. This suggests that a virtuous relationship between NBFIs and economic growth exists in Egypt. In South Africa, the relationship is positive and significant and predominantly runs from NBFI development to economic growth, implying a supply-leading phenomenon. In Nigeria, the results are weak and mixed.Conclusion: The study concludes that in countries with more developed financial systems, the role of NBFIs and their importance to the economic growth process are more pronounced. Thus, there is need for developing policies targeted at developing the NBFI sector, given their potential to contribute to economic growth.

scholarly journals Retrospectives: The Introduction of the Cobb–Douglas Regression

2012 ◽  
Vol 26 (2) ◽  
pp. 223-236 ◽  
Author(s):  
Jeff Biddle
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Mathematical Representation ◽  
Least Squares Regression ◽  
Empirical Measures ◽  
Stable Relationship ◽  
Initial Application ◽  
Economic Association ◽  
The Relationship ◽  
Theory Of Production

At the 1927 meetings of the American Economic Association, Paul Douglas presented a paper entitled “A Theory of Production,” which he had coauthored with Charles Cobb. The paper proposed the now familiar Cobb–Douglas function as a mathematical representation of the relationship between capital, labor, and output. The paper's innovation, however, was not the function itself, which had originally been proposed by Knut Wicksell, but the use of the function as the basis of a statistical procedure for estimating the relationship between inputs and output. The paper's least squares regression of the log of the output-to-capital ratio in manufacturing on the log of the labor-to-capital ratio—the first Cobb–Douglas regression—was a realization of Douglas's innovative vision that a stable relationship between empirical measures of inputs and outputs could be discovered through statistical analysis, and that this stable relationship could cast light on important questions of economic theory and policy. This essay provides an account of the introduction of the Cobb–Douglas regression: its roots in Douglas's own work and in trends in economics in the 1920s, its initial application to time series data in the 1927 paper and Douglas's 1934 book The Theory of Wages, and the early reactions of economists to this new empirical tool.

scholarly journals PENGARUH KORUPSI, DEMOKRASI DAN POLITIK TERHADAP KEMISKINAN DI DELAPAN NEGARA ASEAN DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERASI

2019 ◽  
Vol 1 (3) ◽  
pp. 845
Author(s):  
Yolanda Yolanda
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Predictor Variable ◽  
Combination Method ◽  
Annual Reports ◽  
Series Data ◽  
Transparency International ◽  
Negative Effect ◽  
Asean Countries ◽  
The Relationship

This study aims the influence of corruption, democracy and politics on poverty in ASEAN countries with economic growth as a moderating variable. The method used is using the panel regression model. This data uses a combination method between time series data from 2013 - 2016 and a cross section consisting of 8 countries. Data obtained from World Bank annual reports, Transparency International and Freedom House. The results of this study indicate that (1) Corruption Perception Index (CPI) has a significant and negative effect on poverty, meaning that if the CPI increases then poverty will decrease (2) Democracy has no significant and negative effect on poverty. This means that if democracy increases, poverty will decrease (3) Politics has a significant and negative effect on poverty, meaning that if politics increases, poverty will decrease (4) Economic growth has a significant and positive effect on poverty, meaning if economic growth increases then poverty will decline (3) Economic growth unable to moderate the relationship between corruption, democracy and politics towards poverty in 8 ASEAN countries. Economic growth as an interaction variable is a predictor variable (Predictor Moderate Variable), which means that economic growth is only an independent variable.

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