scholarly journals BANK PROFITABILITY AND MACROECONOMY: EVIDENCE FROM LITHUANIA

2017 ◽  
Vol 24 (2) ◽  
pp. 383-405 ◽  
Author(s):  
Laurynas NARUŠEVIČIUS
Keyword(s):  
Banking Sector ◽  
Short Term ◽  
Empirical Examination ◽  
Bank Profitability ◽  
Pooled Mean Group ◽  
Real Gdp ◽  
Income Statement ◽  
Main Determinants ◽  
The Relationship

The purpose of this paper is to investigate the relationship between profitability of the Lithuanian banking sector and its internal and external determinants. We use the panel error correc­tion model to assess long-term and short-term determinants of items from bank income statements (net interest income, net fee and commission income and operating expenses). The results of the pooled mean group estimator show that bank size and real GDP are the main determinants in the long-term. Meanwhile, empirical examination suggests various variables as short-term determinants of income statement items. The pooled mean group estimation technique and the analysis of sepa­rate income statement items enable us to have a better insight into the Lithuanian banking sector and determinants of its revenue and expenses.

Molecular biology of enzyme adaptations in higher eukaryotes

Genome ◽  
1989 ◽  
Vol 31 (1) ◽  
pp. 272-283 ◽  
Author(s):  
Donal A. Hickey ◽  
Bernhard F. Benkel ◽  
Charalambos Magoulas
Keyword(s):  
Molecular Biology ◽  
Tissue Specificity ◽  
Enzyme System ◽  
Direct Interaction ◽  
Evolutionary Genetics ◽  
Short Term ◽  
Eukaryotic Genes ◽  
Higher Eukaryotes ◽  
The Relationship

Multicellular eukaryotes have evolved complex homeostatic mechanisms that buffer the majority of their cells from direct interaction with the external environment. Thus, in these organisms long-term adaptations are generally achieved by modulating the developmental profile and tissue specificity of gene expression. Nevertheless, a subset of eukaryotic genes are still involved in direct responses to environmental fluctuations. It is the adaptative responses in the expression of these genes that buffers many other genes from direct environmental effects. Both microevolutionary and macroevolutionary patterns of change in the structure and regulation of such genes are illustrated by the sequences encoding α-amylases. The molecular biology and evolution of α-amylases in Drosophila and other higher eukaryotes are presented. The amylase system illustrates the effects of both long-term and short-term natural selection, acting on both the structural and regulatory components of a gene–enzyme system. This system offers an opportunity for linking evolutionary genetics to molecular biology, and it allows us to explore the relationship between short-term microevolutionary changes and long-term adaptations.Key words: gene regulation, molecular evolution, eukaryotes, Drosophila, amylase.

Contemporaneous or causal? Evaluating the triumvirate of insolvency risk, capitalization and efficiency in Indian commercial banking

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Navendu Prakash ◽  
Shveta Singh ◽  
Seema Sharma
Keyword(s):  
Cost Efficiency ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Commercial Banking ◽  
Seemingly Unrelated Regression ◽  
Bank Capital ◽  
Short Term ◽  
Content Type ◽  
Insolvency Risk

PurposeThis paper empirically examines the short-term and long-term associations between risk, capital and efficiency (R-C-E) in the Indian banking sector across 2008–2019 to answer the presence of causation or contemporaneousness in the R-C-E nexus.Design/methodology/approachThe paper focuses on three objectives. First, the authors determine short-term causality in the risk–efficiency relationship by studying the simultaneous influence of a wide array of banking risks on DEA-based technical and cost efficiency in static and dynamic situations. Second, the authors introduce bank capital and contemporaneously determine the interplay between R-C-E using seemingly unrelated regression equation (SURE) and three-staged least squares (3SLS). Last, the authors assess stability in inter-temporal associations using Granger causality in an autoregressive distributed lag (ARDL) generalized method of moments (GMM) framework.FindingsThe authors contend that high capital buffers reduce insolvency risk and increase bank stability. Technically efficient banks carry lesser equity buffers, suggesting a trade-off between capital and efficiency. However, capitalization makes banks more technically efficient but not cost-efficient, implying that over-capitalization creates cost inefficiencies, which, in line with the cost skimping hypothesis, forces banks to undertake risk. Concerning causal relationships, the authors conclude that inefficiency Granger-causes insolvency and increases bank risk. Further, steady increases in capital precede technical and cost efficiency improvements. The converse also holds as more efficient banks depict temporal increases in capitalization levels.Originality/valueThe paper is perhaps the first that acknowledges the influence of the “time” perspective on the R-C-E nexus in an emerging economy and advocates that prudential regulations must focus on short-term and long-term intricacies among the triumvirate to foster a stable banking environment.

scholarly journals Effectiveness of Monetary Policy Instruments on Economic Growth in Jordan Using Vector Error Correction Model

2017 ◽  
Vol 9 (11) ◽  
pp. 194
Author(s):  
Rami Obeid ◽  
Bassam Awad
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Policy Instruments ◽  
Short Term ◽  
Correction Model ◽  
Vector Error Correction ◽  
Real Gdp ◽  
Vector Error ◽  
Effect Of Monetary Policy

The global financial crisis emphasized the important role of the prudent monetary policy in supporting economic growth through maintaining price stability. The monetary policy operational framework that was designed in 2008 was updated to include more instruments for managing monetary policy learning from the crisis lessons. Several studies analyzed various dimensions related to economic growth in Jordan such as Abdul-Khaliq, Soufan, and Abu Shihab (2013) and Assaf (2014), there were no studies that investigated the effect of monetary policy on economic growth in Jordan, at least recently, however. The study aims at measuring the effect of monetary policy instruments on the performance of Jordanian economy. Using quarterly data covering the period (2005-2015), an econometric model was examined using Vector Error Correction Model to assess the impact of monetary policy instruments on economic growth. The foremost advantage of VECM is that it has a nice interpretation of long-term and short-term equations. The results showed the existence of positive long-term and short-term effects of monetary policy instruments on the growth of real GDP. The model included three monetary policy instruments besides money supply. They are required reserve ratio, rediscount rate and overnight interbank loan rates as independent variables, and the real GDP growth as a dependent variable. The stationarity of the model time series was addressed. In addition, the stability of the model was tested using stability diagnostics tools. The results showed also an existence of inverse relationship between rediscount rate and economic growth in Jordan over both long and short terms.

scholarly journals Bootstrap ARDL Test on the Relationship among Trade, FDI and CO2 Emissions: Based on the Experience of BRICS Countries

2019 ◽  
Author(s):  
Fumei He ◽  
Ke-Chiun Chang ◽  
Min Li ◽  
Xueping Li ◽  
Fangjhy Li
Keyword(s):  
Foreign Direct Investment ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Export Trade ◽  
Short Term ◽  
Brics Countries ◽  
The Relationship ◽  
Cointegration Relationship

We used the Bootstrap ARDL method to test the relationship between the export trades, FDI and CO2 emissions of the BRICS countries. We found that China's foreign direct investment and the lag one period of CO2 emissions have a cointegration on exports. South Africa's foreign direct investment and CO2 emissions have a cointegration relationship with the lag one period of exports, and South Africa's the lag one period of exports and foreign direct investment have a cointegration relationship with the lag one period of CO2 emissions. But whether it is China or South Africa, these three variables have no causal relationship in the long-term. Among the variables of other BRICS countries, Russia is the only country showed degenerate case #1 in McNown et al. mentioned in their paper. When we examined short-term causality, we found that CO2 emissions and export trade showed a reverse causal relationship, while FDI and carbon emissions were not so obvious. Export trade has a positive causal relationship with FDI. Those variables are different from different situations and different countries.

scholarly journals Concentration of Banking Sector and Loan Markups in Short Term: An Example from Poland

2014 ◽  
Vol 5 (2) ◽  
pp. 26-44
Author(s):  
Krysztof Drachal
Keyword(s):  
Monetary Policy ◽  
Banking Sector ◽  
Mortgage Market ◽  
Future Research ◽  
Simple Linear Regression ◽  
Short Term ◽  
Monthly Data ◽  
Regression Techniques ◽  
The Difference ◽  
The Relationship

The aim of this paper is to present an analysis of the relationship between concentration of the banking sector and banks' markups on offered loans. The markup is understood as the difference between the rate offered by banks and the reference rate fixed by the Monetary Policy Council. The period between 2009 and 2013 was analyzed. Monthly data from the Polish banking sector were considered. This paper also consists of the literature review, which focuses on the mortgage market. The methodology used for the analysis is based mainly on simple linear regression techniques. It is found that such methods are not sufficient to give conclusive answers. Therefore additional future research is proposed.

scholarly journals Analisis Indeks Harga Konsumen di Indonesia Melalui Pendekatan Kointegrasi

2019 ◽  
Vol 4 (2) ◽  
pp. 110-118
Author(s):  
Muhamad Muin ◽  
Keyword(s):  
Exchange Rate ◽  
Empirical Study ◽  
Money Supply ◽  
Price Index ◽  
Consumer Price Index ◽  
Data Series ◽  
Short Term ◽  
Monthly Data ◽  
The Relationship

This study aims to analyze the relationship between the rupiah exchange rate (RER) and the money supply (M1) on the outgrowth of the consumer price index (CPI) in Indonesia. The data used in this study are monthly data series from January 2005 to January 2019. The results of this empirical study shows that there is a relationship between RER and M1 on CPI in the long term and there is a correction in the short term balance (ECM) which is influenced by M1. All of these variables are significant at α = 5% and partly significant at α = 1%.

The Relationship between Goal Proximity and Specificity in Bowling: A Field Experiment

1990 ◽  
Vol 4 (2) ◽  
pp. 145-154 ◽  
Author(s):  
Steven H. Frierman ◽  
Robert S. Weinberg ◽  
Allen Jackson
Keyword(s):  
Goal Setting ◽  
Repeated Measures ◽  
Questionnaire Data ◽  
Short Term ◽  
Level Of Confidence ◽  
Goal Condition ◽  
Main Effect ◽  
The Relationship ◽  
Better Than

The purpose of this investigation was twofold: to determine if individuals who were assigned specific, difficult goals perform better than those assigned “do your best” goals, and to examine the importance of goal proximity (longterm vs. short-term) on bowling performance. Subjects were 72 students enrolled in two beginning bowling courses at a 4-year university. They were matched according to baseline bowling averages and then randomly assigned to one of four goal-setting conditions. A 4 × 5 (Goal Condition × Trials) ANOVA with repeated measures on the last factor revealed a significant goal condition main effect, with the long-term goal group improving more than the do-your-best group. No other performance comparisons reached significance. Questionnaire data revealed that subjects in all three numerical goal conditions rated their level of confidence significantly higher than the do-your-best goal group in Week 1, but the long-term goal group displayed a significantly higher level of confidence than the other three goal groups in Week 4. All other questions indicated that all groups tried hard and were committed to and accepted their goals.

The Effect of Low Employee Turnover Ratio on Bank Profitability in Turkey

2015 ◽  
pp. 324-340
Author(s):  
Hasan Dinçer ◽  
Ümit Hacıoğlu ◽  
Türker Tuğsal
Keyword(s):  
Job Satisfaction ◽  
Economic Crisis ◽  
Employee Turnover ◽  
Banking Sector ◽  
Main Argument ◽  
Bank Profitability ◽  
New Employees ◽  
Private Banks ◽  
The Relationship ◽  
Bank Employee

The purpose of this chapter is to emphasize the effect of bank employee turnover on profitability. Researchers so far have commonly studied employee turnover, job satisfaction, and commitment. The current research intends to fill the gap by focusing on the relationship between employee turnover and profitability. In this chapter, firstly, employee turnover, its terminology, and the nature of turnover are defined. This relationship in the banking sector is analyzed and three private banks in Turkey are scrutinized. The main argument of the research is that there is an adverse relationship between employee turnover and bank profitability. Conversely, the results of the study do not thoroughly support the assumption. As a result, findings show that banks minimize the effects of economic crisis by dismissal and not recruiting new employees to replace a quitting worker or recruiting for a new position.

scholarly journals Assessing the Spatial and Spatio-Temporal Distribution of Forest Species via Bayesian Hierarchical Modeling

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 573 ◽  
Author(s):  
Óscar Rodríguez de Rivera ◽  
Antonio López-Quílez ◽  
Marta Blangiardo
Keyword(s):  
Hierarchical Modeling ◽  
Temporal Distribution ◽  
Short Term ◽  
Distribution Models ◽  
Address Climate Change ◽  
Bayesian Hierarchical ◽  
Temporal Models ◽  
Spatio Temporal ◽  
The Relationship

Climatic change is expected to affect forest development in the short term, as well as the spatial distribution of species in the long term. Species distribution models are potentially useful tools for guiding species choices in reforestation and forest management prescriptions to address climate change. The aim of this study is to build spatial and spatio-temporal models to predict the distribution of four different species present in the Spanish Forest Inventory. We have compared the different models and showed how accounting for dependencies in space and time affect the relationship between species and environmental variables.

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