scholarly journals Relation entre Taux d’Intérêt et Inflation en Algérie (1990 - 2015) = The Relationship between Interest Rate and Inflation in Algeria (1990 - 2015) = العلاقة بين معدل الفائدة والتضخم في الجزائر (1990 - 2015)

2017 ◽  
pp. 79-91
Author(s):  
Radia Ben Ziane ◽  
Nadine Salah
Keyword(s):  
Interest Rate ◽  
The Relationship

scholarly journals Estimating the relationship between collateral and interest rate: A comparison of methods

2021 ◽  
pp. 101962
Author(s):  
Andrea Bellucci ◽  
Alexander Borisov ◽  
Germana Giombini ◽  
Alberto Zazzaro
Keyword(s):  
Interest Rate ◽  
Comparison Of Methods ◽  
The Relationship

scholarly journals Heterogeneity in the Relationship Between NPLs and Real Economy: Evidence from the Mongolian Banking System

2021 ◽  
Vol 10 (2) ◽  
pp. 133-155
Author(s):  
Enkhzaya Demid
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Manufacturing Sector ◽  
Banking System ◽  
Real Economy ◽  
Economic Sectors ◽  
Macroeconomic Shocks ◽  
Credit Quality ◽  
Loan Supply ◽  
The Relationship

Abstract The paper analyses the relationship between the banks’ credit risk and macroeconomic conditions by addressing the following questions; (i) How are macroeconomic shocks transmitted to lending risk depending on the ban-specific features? (ii) Are the effects of macroeconomic shocks different across the loan portfolios in various economic sectors? Unlike the common assumption in the literature, the empirical analysis considers banks’ heterogeneity and diversification across borrowers. It employs heterogeneous panel SVARs and standard SVAR models on a dataset from 2002. Q1 to 2019.Q1. The results suggest that the deterioration in credit quality is affected by both macroeconomic and bank-specific factors, with substantial heterogeneity in the magnitudes and timing in terms of the type of loans in various business sectors and bank characteristics. In particular, we find strong evidence of cyclical sensitivity of loan quality, and about 1/4 of banks’ NPLs increases stronger in response to the shocks to growth, exchange rate, interest rate, and profitability. The highly profitable banks tend to less engage in excessive risk-taking, resulting in lower NPLs, whereas the relation of asset size to NPLs is not significant for the sample. A growth shock plays a prominent role in explaining the variation of NPLs for the trade and mining sectors. Similarly, the loan supply shock is the main determinant for the construction sector’s NPLs, while the exchange rate shock is the most responsible for the manufacturing sector. The interest rate shock and exchange rate shock are the most effective factors on NPLs of consumer loans. Finally, the feedback effect of NPLs shows that deterioration of credit quality slows down economic growth.

scholarly journals MACROECONOMIC VARIABLES AND CAPITAL STRUCTURE: PUBLIC FINANCE AND INSURANCE IN LATIN AMERICA AND ASIA

2021 ◽  
Vol 9 (2) ◽  
pp. 133-142
Author(s):  
Caio Augusto Franco Lucas ◽  
Rafael Martins Noriller ◽  
Rosemar José Hall ◽  
Maria Aparecida Farias de Souza Nogueira ◽  
Ducineli Regis Botelho
Keyword(s):  
Public Finance ◽  
Latin America ◽  
Exchange Rate ◽  
Interest Rate ◽  
Capital Structure ◽  
Insurance Companies ◽  
Panel Analysis ◽  
Macroeconomic Variables ◽  
The Relationship ◽  
The Capital Structure

This article analyzes the relationship between macroeconomic variables and the capital structure of public finance and insurance companies in Latin America and Asia. The variables used were: Gross Domestic Product (GDP), Exchange Rate (ER), Interest Rate (%Δ IR), and Capital Structure (CS). Data were analyzed annually from 2010 to 2018 by static panel analysis and multiple regression using the Newey-West estimator. Interest rate and exchange rate were negatively correlated with CS. However, GDP was not significantly correlated with CS at 10% probability. It is concluded that macroeconomics interferes with the capital structure of financial institutions in Latin America and Asia.

scholarly journals A META-ANALYSIS OF THE DETERMINANT OF THIRD PARTY FUND ON ISLAMIC BANKING IN INDONESIA

2020 ◽  
Vol 6 (2) ◽  
pp. 175
Author(s):  
Diyas Indiastary ◽  
Noven Suprayogi ◽  
Imam Wahyudi Indrawan
Keyword(s):  
Interest Rate ◽  
Time Variation ◽  
Meta Analysis ◽  
Third Party ◽  
Google Scholar ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Analysis Technique ◽  
Equivalent Rate ◽  
The Relationship

This research attempts to study the determinants of third party funds on the Islamic banking in Indonesia with eight years of research from published journals in Indonesia. To reach the above objectives, investigation to check the relationship between promotion cost, inflation, GDP, interest rate, number of offices, and equivalent rate to third party funds on the Islamic banking in Indonesia is conducted. This research applies the meta-analysis technique to a sample of 34 articles with time variation from 2010-2018. The articles used are selected studies from Sinta Journal and Google Scholar databases. This research shows that promotion cost, number of offices, and equivalent rate have a significant correlation with third party funds on the Islamic banking in Indonesia. Meanwhile, inflation, GDP, and interest rate have no significant correlation with third party funds on the Islamic banking in Indonesia. The Findings from this study imply that if Islamic banks in Indonesia wish to enhance their third party fund, they must focus on internal indicators (promotion cost, number of offices, and equivalent rate), rather than looking at macro indicators.

Output Gap, Money Growth and Interest Rate in Japan: Evidence from Wavelet Analysis

2018 ◽  
Vol 18 (2) ◽  
pp. 171-184
Author(s):  
Aviral Kumar Tiwari ◽  
Olaolu Richard Olayeni ◽  
Reza Sherafatian-Jahromi ◽  
Olofin Sodik Adejonwo
Keyword(s):  
Interest Rate ◽  
High Frequency ◽  
Money Growth ◽  
High Frequencies ◽  
Time Frequency ◽  
Long Run ◽  
Direction Of Causation ◽  
Cyclical Relationships ◽  
Frequency Coherence ◽  
The Relationship

This article investigated the relationship between output, money and interest rate, using wavelet tools for the period 1972–2017. Application of such tools is helpful in answering particularly two questions: first, what the strength and direction of the causal relationships between money, output and interest rate is, and second, whether the relationship is cyclical or anti-cyclical in nature. Findings from this article show that output and money are highly coherent in low, middle and high frequencies, and coherence increases while controlling for interest rate, with money growth as the leading variable most of the time across frequencies. Output and interest rate are equally highly coherent, mostly at high frequency and some bits of middle frequency; coherence increases with the control for money, and interest rate often times leads the relationship. Also, money and interest rate are coherent at low, middle and high frequencies with interest rate leading the relationship, and controlling the effect of output increases the coherence at some times and decreases at other times. There are observable evidences of both cyclical and anti-cyclical relationships among the variables. Policy decisions should be cautious of shortrun moves in order not to trigger undesired long-run outcomes since no difference is observed in the direction of causation over time–frequency. JEL: C49, E43, E52

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