The Capital Ratio and the Interest Rate Spread: The Panel Threshold Regression Approach

2021 ◽  
Author(s):  
Mahmoud Botshekan ◽  
Ali Golbabaei
Keyword(s):  
Interest Rate ◽  
Threshold Regression ◽  
Interest Rate Spread ◽  
Regression Approach ◽  
The Interest Rate ◽  
Panel Threshold Regression

Tourism and environmental performance: New evidence using a threshold regression analysis

2021 ◽  
pp. 135481662110424
Author(s):  
Zhike Lv ◽  
Ting Xu
Keyword(s):  
Environmental Performance ◽  
Negative Impact ◽  
Tourism Development ◽  
Threshold Level ◽  
Optimal Level ◽  
Negative Influence ◽  
Threshold Regression ◽  
Regression Approach ◽  
New Evidence ◽  
Panel Threshold Regression

To verify whether the effect of tourism on environmental performance differs by the level of tourism development, a panel threshold regression approach is applied to observe the effects of tourism on environmental performance in 97 countries over the 2002–2012 periods. Our results suggest that tourism always has a significant negative influence on the environmental performance, implying that tourism will unavoidably result in environmental degradation, irrespective of how high the level of tourism development. However, when tourism development exceeds a certain value, tourism will relatively have less influence on environmental performance. In terms of policy prescriptions, considering that tourism wills inevitably worse environmental qualities, this finding implies that policymakers should consider the optimal level of tourism development at around the estimated threshold level to minimize the negative impact of tourism on environmental quality.

scholarly journals Effect of Deposit Mobilization on the Financial Sustainability of Rural Saving and Credit Cooperatives: Evidence from Ethiopia

2018 ◽  
Vol 10 (10) ◽  
pp. 3387 ◽  
Author(s):  
Girma Duguma ◽  
Jiqin Han
Keyword(s):  
Interest Rate ◽  
Fixed Effect ◽  
Financial Sustainability ◽  
Regression Result ◽  
Interest Rate Spread ◽  
Credit Cooperatives ◽  
Demand Deposit ◽  
Effect Regression ◽  
Demand Deposits ◽  
The Interest Rate

Increasing institutional capital through deposit mobilization keeps the cost of capital low, thus leading to financial sustainability. However, little is known about how deposit mobilization affects financial sustainability. Using balanced panel data of 166 rural savings and credit cooperatives (RUSACCOs) from Ethiopia over the period of 2014–2016, we investigated the effect of deposit mobilization on financial sustainability. The results of the panel regression estimates showed that, among the deposits mobilization variables, the deposit to loan ratio, deposit to total asset ratio, the volume of deposits, and demand deposit ratio had a significant direct impact on financial sustainability. The fixed effect regression result for interest rate spread showed that an inverse relationship existed between the interest rate spread and financial sustainability. Furthermore, according to our robust fixed effect regression results, among the control variables, the age of the institution and inflation rate affects financial sustainability. Contrary to our expectations, the number of members and the percentage of woman members were not significant. This may be attributed to the fact that some members were inactive for a long period. We suggest that RUSACCOs should focus on deposit mobilization specifically on demand deposits and keep the interest rate spread narrower to ensure their sustainability.

scholarly journals THE DETERMINANTS OF INTEREST RATE SPREAD AMONG COMMERCIAL BANKS IN KENYA

2017 ◽  
Vol 2 (5) ◽  
pp. 29
Author(s):  
Leah Njoroge ◽  
Mercy Warui ◽  
Catherine Mbogo ◽  
Margaret Chiera ◽  
Dr. Chogii
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Market Structure ◽  
Significant Relationship ◽  
Commercial Banks ◽  
Banking Sector ◽  
Unique Contribution ◽  
High Interest Rate ◽  
Interest Rate Spread ◽  
The Interest Rate

Purpose: To establish the determinants of interest rate spread among commercial banks in Kenya. Methodology: The study utilized a descriptive survey research design. Findings: The results indicated that the commercial banking sector has witnessed a gradual rise in the Interest rate spread. Results also showed that the mean of market structure has been fluctuating with year (2010) being the lowest with mean of 4 and year (2012) being the highest with mean 12. Results also showed that there was no regulation from the year (2005) to the year (2009) but it was later adopted whereas regulations shoot steadily to mean of 1.0 in the year (2009) and remained in the same level the rest of the years. The regression results indicate that there is a positive and significant relationship between market structure, credit risk and interest spread. The regression results also indicated that there is a positive but insignificant relationship between access to information and interest spread. Further, the results indicated that there is a negative and significant relationship between regulation and interest spread. Unique contribution to theory, practice and policy: The study is important to the management of Commercial banks as it will provide an insight on the factors influencing interest rate spread among commercial banks in Kenya. The results of this study will provide information to policy makers and other stakeholders in the financial sector (especially the banks) to come up with strategies that help in dealing with the high interest rate spread experience in the banking sector and thus improve on the financial performance of the organisations. It may be used as a tool for persuading commercial banks to reduce their interest rates spread and hence increase their volume of business, which of course would compensate the loss in the interest rate spread. The study will also be invaluable to the government and CBK. This is because the monetary policy framework of Central Bank of Kenya and its implementation will be guided by a need to ensure, among others: realistic interest rate spreads that encourage financial deepening and a safe, sound, efficient and competitive banking system through discreet risk management. These findings therefore might influence the effectiveness of economic policies. The research results will also be important to scholars and researchers as it will add to the existing pool of knowledge.

scholarly journals COMPARISON OF THE PASS-THROUGH SPEED MODELS OF DIFFERENT MARKETS: AN EMPIRICAL STUDY OF THE MARKETS OF MAINLAND CHINA AND TAIWAN

2020 ◽  
Author(s):  
Chi Ming Ho ◽  
Wu Yih Lin
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Mainland China ◽  
Rate Sensitivity ◽  
Interest Rate Spread ◽  
Spread Model ◽  
Pass Through ◽  
Loan Interest Rates ◽  
The Interest Rate

This paper adopted the Boone Indicator, developed by Boone et al. (2008) and Van Leuvensteijn et al. (2011; 2013), to investigate the influence of different pass-through spread models in the competition among banks in emerging markets. With the market share of banks as a dependent variable and marginal cost as an independent variable, this paper probed into the competition among banks regarding the loan market to determine whether competition on the loan interest rates of banks affected the pass-through of monetary policy-related interest rates. After analyzing approximately 5,657 entries of records of the banking industries in Taiwan and mainland China, this paper reached three significant conclusions: 1) the Boone Indicator Model pointed out that, competition in the banking market of mainland China was more intense than that of Taiwan; 2) empirical research based on the Interest Rate Spread Model indicated that the spread of mainland China was lower than that of Taiwan; 3) the Passthrough Speed Model implied that, the interest rate sensitivity of the market of mainland China was higher than that of the Taiwan market. The above results indicate that the influence of monetary policy pass-through on the interest rate of the market in mainland China is faster than in Taiwan.  

THE ROLE OF TWO INTEREST RATES IN THE INTERTEMPORAL CURRENT ACCOUNT MODEL

2012 ◽  
Vol 16 (S2) ◽  
pp. 176-189 ◽  
Author(s):  
Michał Rubaszek
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Current Account ◽  
Low Income ◽  
Developing Economies ◽  
Low Income Country ◽  
Interest Rate Spread ◽  
The Interest Rate ◽  
The Current Account

We analyze the role of the lending-deposit interest rate spread in the dynamics of the current account in developing countries. For that purpose, we extend the standard perfect-foresight intertemporal model of the current account for the existence of the interest rate spread and simulate the convergence path of developing economies. This model helps explain why in many cases it is optimal for a fast-growing, low-income country to run a balanced current account.

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