Interest Rate Caps in Kenya; Is this the End of the Oligopolistic Banking System?

2016 ◽  
Author(s):  
Edwin Njoroge Kimani
Keyword(s):  
Interest Rate ◽  
Banking System ◽  
Interest Rate Caps

Interest Rate Caps around the World: Still Popular, but a Blunt Instrument

2014 ◽  
Author(s):  
Samuel Munzele Maimbo ◽  
Claudia Alejandra Henriquez Gallegos
Keyword(s):  
Interest Rate ◽  
The World ◽  
Interest Rate Caps

NPLs — The Solution Recipe for Albania

2015 ◽  
Vol 3 (1) ◽  
pp. 48
Author(s):  
Elona Shehu ◽  
Elona Meka
Keyword(s):  
Interest Rate ◽  
Negative Relationship ◽  
Banking System ◽  
Gdp Growth ◽  
System A ◽  
Analysis Technique ◽  
Recent Financial Crisis ◽  
The Stability ◽  
Asset Quality ◽  
Macroeconomic Determinants

The quality of the loan portfolio in Albanian banking system is facing many obstacles during the last decade. In this paper we look at possible determinants of assets quality. During the recent financial crisis commercial banks were confronted with deteriorating asset quality that threatened not only the banking industry, but also the stability of the entire financial system. This study aims to examine the correlation between non-performing loans and the macroeconomic determinants in Albania during the last decade. NPLs are considered to be of a high importance as they represent the high risk exposure of banking system. A solid bank with healthy assets increases the market efficiency. Our approach is based on a panel data regression analysis technique from 2005-2015. Within this methodology this study finds robust evidence on the existing relationship between lending interest rate, real GDP growth and NPLs. We expect to find a negative relationship between lending interest rate and asset quality. Further we assume an inverse relationship between GDP growth and non-performing loans, suggesting that NPLs decrease if the economy is growing. Furthermore this study proposes a solution platform, which looks deeper into the possibility of creating a secondary active market for troubled loans, restructuring the banking system or implementing the Podgorica model. This research paper opens a new lieu of discussion in terms of academic debates and decision-making policies.

scholarly journals The impact of interest rate spread on the banking system efficiency in South Africa

2018 ◽  
Vol 6 (1) ◽  
pp. 1546417
Author(s):  
Varaidzo batsirai Shayanewako ◽  
Asrat Tsegaye ◽  
Christian Nsiah
Keyword(s):  
South Africa ◽  
Interest Rate ◽  
Banking System ◽  
System Efficiency ◽  
Interest Rate Spread ◽  
The Impact

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 Does the Interest Rate Form Business Cycle?

2019 ◽  
Vol 4 (1) ◽  
pp. 29-34
Author(s):  
Bijan Bidabad ◽  
Abul Hassan
Keyword(s):  
Interest Rate ◽  
Business Cycle ◽  
Interest Rates ◽  
Banking System ◽  
Real Economy ◽  
Short Term ◽  
The Usa ◽  
Rate Form ◽  
The Interest Rate

Dynamic structural behavior of depositor, bank and borrower and the role of banks in forming business cycle are investigated. We test the hypothesis that does banks behavior make oscillations in the economy through the interest rate. By dichotomizing banking activities into two markets of deposit and loan, we show that these two markets have non-synchronized structures, and this is why the money sector fluctuation starts. As a result, the fluctuation is transmitted to the real economy through saving and investment functions. Empirical results assert that in the USA, the banking system creates fluctuations in the money sector and real economy as well through short-term interest rates

scholarly journals Factors Influencing Non-Performing Loans in Commercial Banks: The Case of Banks in Selangor

2017 ◽  
Vol 12 (2) ◽  
pp. 246
Author(s):  
Uma Murthy ◽  
Naail Mohammed Kamil ◽  
Paul Anthony Mariadas ◽  
Dilashenyi Devi
Keyword(s):  
Interest Rate ◽  
Commercial Banks ◽  
Quantitative Research ◽  
Balance Sheet ◽  
Banking System ◽  
Sampling Technique ◽  
Research Approach ◽  
Probabilistic Sampling ◽  
Factors Influencing ◽  
Descriptive Approach

Non-performing loans (NPL) is a worldwide issue that affects financial markets stability in general and banking industry viability in particular. The net non-performing loan (NPL) ratio in the banking system since the Asian financial crisis has gradually been in decline from 13.6% in December 1998 to 2.8% in May 2008. Government intervention to non-performing loan recovery strategies have contributed significantly in the decline. The Malaysian government and banks have succeeded in removing the non-performing loans (NPL) from banks Balance Sheet. This study examines the factors influencing non-performing loans in commercial banks in Selangor. A quantitative research approach is employed in this research following the positivist assumption with a realist ontology and objectivist epistemology. Data was collected using a probabilistic sampling method, particularly a stratified random sampling technique. The adapted survey questionnaire employed in this study and distributed 150 questionnaires and successfully received 130 questionnaires. Overall, the researcher has discussed about the findings of the analysis that was conucted using the SPSS software. Descriptive approach, correlation and multiple regression analysiss had been shown during the analysis. The descriptive approach displayed direct  results while  the correlation displayed the relationship between the dependent variable (non-performing loan) and the independent variables (standard of living, consumer income, economy of the country, bank interest rate). In this research, found three factors that influencing non-performing loan in Malaysia which are consumers’ income, the economy of the country and bank interest rate. The bank will found that the bank interest rate affect the rate of non-performing loan increase. For the future researchers, this research will benefit them as well. If they are doing their researches which are related to this topic, they can gather everything they want easily. Besides that, it will benefit the researcher who is going to do this research study in Malaysia. This is because the information in Malaysia is limited.

Liberalizzazione, concentrazione e diversificazione del sistema bancario italiano

2009 ◽  
pp. 7-19
Author(s):  
Angelo Baglioni
Keyword(s):  
Interest Rate ◽  
Southern Italy ◽  
Banking System ◽  
Jel Classification ◽  
European Market ◽  
Competitive Pressure ◽  
Defensive Strategy ◽  
Concentration Process ◽  
Deep Process ◽  
Single European Market

- Starting from the early nineties, the Italian banking system has undergone a deep process of deregulation, consolidation and diversification. The deregulation process has enabled Italian banks to enter new - geographical and product - markets. The single European market has introduced a competitive challenge from abroad. The concentration process may be explained on several grounds. Smaller banks have aimed at reaching a more efficient scale of production. Deals involving banks located in Northern and Southern Italy had a prudential rationale, given the weakness of Southern banks. Large banks have presumably pursued a defensive strategy, due to the threat of take-overs from abroad. An important role has been played by the moral suasion exerted by the Bank of Italy. Deregulation and consolidation have come along together with an increase of the competitive pressure, as shown by the decline of interest rate margins. Banks have reacted by diversifying their business, in order to expand their sources of revenue and to create switching costs for their customers (by selling bundles of services). Keywords: banks, deregulation, consolidation, competition Parole chiave: banche, liberalizzazione, concentrazione, concorrenza Jel Classification: G21 - L89

Sign in / Sign up

Export Citation Format

Share Document