THE INTEREST RATE SPREAD AND REAL ESTATE RETURNS ---- EVIDENCE FROM HONG KONG

2010 ◽  
1998 ◽  
Vol 1 (1) ◽  
pp. 64-80
Author(s):  
Jia He ◽  
◽  
Ming Liu ◽  

A study on the prepayment behavior of Hong Kong mortgage loans is conducted. With all of the loans as adjustable-rate mortgages (ARMs), we find that 1) Prepayment speeds up and then slows down as the mortgage seasons; 2) Prepayment speeds up as the rate markup decreases; 3) Prepayment speeds up as the interest rate increases; 4) Prepayment speeds up when the profitability ratio of the banks ( the prime-HIBOR spread) is higher; 5) Prepayment speeds up as the price of the property market falls; 6) Prepayment speed is faster for loans with a lower loan-to-value ratio; 7) Prepayment exhibits a seasonal pattern: people tend to prepay in the summer.


Author(s):  
Anton Ovchinnikov ◽  
Elena Loutskina ◽  
Casey Lichtendahl ◽  
Jayson Lipsey ◽  
Brian Burke

In the early months of the 2007-08 financial crises, a loan manager faces a real estate financing decision. Should he approve a bullet structure three-year loan to a longstanding client, a legendary Texan developer? The developer, who near retirement downsized his business, is seeking financing for his only project: residential or commercial development on an attractive piece of land in suburban Houston. The loan manager considers the decision in light of the mortgage market turmoil, seeing commercial projects as safer, but also factoring that the residential market could bring higher returns if the market stabilizes soon. The manager collects the data and asks an analyst to assess the risks; that ultimately requires assessing the economics of both projects from both the bank’s and the developer’s perspectives. The bank could still change the interest rate on the loan to receive adequate compensation for the risk it carries, but the loan manager knows that doing so will change their long-term client willingness to take on the loan.


2018 ◽  
Vol 10 (10) ◽  
pp. 3387 ◽  
Author(s):  
Girma Duguma ◽  
Jiqin Han

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.


2017 ◽  
Vol 2 (5) ◽  
pp. 29
Author(s):  
Leah Njoroge ◽  
Mercy Warui ◽  
Catherine Mbogo ◽  
Margaret Chiera ◽  
Dr. Chogii

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.


Author(s):  
Chi Ming Ho ◽  
Wu Yih Lin

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.  


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