• Journal of the Korean housing association
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• v.18 no.4
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• pp.17-25
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• 2007

The study analyzed the consciousness of mortgage loan of the prospective home-buying households using self-administered questionnaire surveys. The sample of the survey was chosen by convenience sampling method to be 366 prospective home-buying households in Ulsan, with the households head's age being younger than 50. These are the results. First, approximately 80% of the respondents had plans to buy a house through self-support and loan. Second, the consciousness of mortgage loan was relatively low, but the willingness to use it was very high. Third, the need for mortgage loan was relatively high, especially the need for specialists to facilitate the information circulation. Lastly, the awareness and need for mortgage loan were significantly influenced by the family and housing characteristics of households including family life cycle stages, the structure of dwelling, tenure type and monthly household income. It is necessary to provide potential house buyers with appropriate education and information on housing financing, the change of interest rate, and the effects of various financing packages.

• The Korean Journal of Financial Management
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• v.22 no.1
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• pp.147-179
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• 2005

It is frequently said that mortgage-backed securities (MBS) of different security designs are issued in an attempt to meet the varying needs and expectations of investors. If this is true indeed, MBS of complicated risk-return characteristics are likely to be priced higher than MBS of simple risk-return characteristics we. We test this implication by establishing a recombining binomial interest rate prepayment model with a burnout effect embedded. More specifically, we compare the relative values (utilities) of a pass-through and a PAC- Support collateralized mortgage obligation(CMO), and theoretically show why and how the CMO is more highly valued than is the pass-through. The model is established such that mortgage prepayment is a function of the current value of, and the past path of, the mort-gage market rate. Since we work on not the total value of the two MBS but the value of each tranche of either MBS, the test results could be robust to slightly different versions of similar tests, which may be done in the future.

• International Area Studies Review
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• v.16 no.3
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• pp.135-155
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• 2012

The objective of this study was to empirically analyze how Chinese urban residents use mortgage loan in their purchase of houses. For the research purpose, 205 households were surveyed on use of housing finance in Beijing, using prepared questionnaires in advance. The survey result showed that 39.5% of the respondents used mortgage loan in their housing purchase in Beijing. Most of the mortgage loan users got their loans from four state-owned commercial banks. This implies that the government could effectively govern the housing market by managing qualifications and interest rates under the government control. The households who did not use mortgage loan raised the fund mostly from own capital and their parents' money. In general, it was found that the Chinese, besides mortgage loan from commercial banks, rarely depend on outside sources. The dichotomous logistic analysis by logit model showed that socio-economic variables such as age, income, housing price and entry into the housing provident fund had significantly positive effects on the use of mortgage loan in the purchase of housing.

• Journal of Korean Society of Rural Planning
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• v.15 no.2
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• pp.69-80
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• 2009

The purpose of this paper is to estimate the regional economic impact of reverse mortgage system based on farmer's net asset of house and farmland together. The regional economic impact was estimated by using inter-regional input-output model. Major findings are as follows: 1) The result of input-output analysis shows that 49,130 million won of production effect, 20,040 million won of value added effect, and 24,759 number of employment effect, 2) Since the result shows that the elderly spend most of the reverse mortgage money for their living expenses, it seems necessary to adopt net asset based reverse mortgage system to improve and stabilize farmers' living conditions and regional economy.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1015-1022
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• 2009

Currently, Korean real estate market has experienced cooling down of the business because of the global economic crisis which resulted from the subprime mortgage lending practice. In response, the Korean government has enforced various policies at the base of deregulating real estate speculation, such as increasing Loan to value ratio (LTV) in order to stimulate housing demand and supply. However, these policies seemed to result in deep confusion in the Korean housing market. Furthermore, analysis for housing market forecasting, especially international financial crisis on Korean real estate market, has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the real estate and real estate financial market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing Korean Real Estate and Mortgage market dynamics models based on fundamental principles of housing market determined by supply and demand. We also find the impact of deregulation policies focusing on mortgage loan which is the main factors of policies.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.4
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• pp.5-13
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• 2014

This study contributes to addressing the problem of an aging population by providing important information that determines feasible monthly payments for the clients of Chinese reverse mortgage products and by promoting the implementation of reverse mortgages in China. The variables used in this study include mean values obtained from time series data, of the rate of increase of housing prices, and the probability value, interest rate, and mortality rate obtained through the geometric Brownian motion (GBM). For mortality rates, China Life Insurance female mortality rates (2000-2003) were used. This study aims to apply the main variables that affect reverse mortgage products in a monthly payment model based on Chinese financial market conditions, and determine loan values. In this study, Shanghai's reverse mortgage monthly payments, by age levels, were calculated through the loan-to-value (LTV) and payment (PMT) methods to evaluate the value of the reverse mortgages. Based on the optimal combination of the three factors of payment amount, loan interest rates, and the level of acceptance of prices, efforts must be made to extract the best value for the elderly. Only in this way can the interests of both lenders and borrowers be protected, by increasing the market share and economies of scale of the reverse mortgage industry and effectively improving the living standards of the elderly.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.437-444
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• 2017

The purpose of this study is to analyze the factors affecting the reverse mortgage utilization and satisfaction of the elderly. Based on the survey data of the reverse mortgage demand in 2016, we carried out empirical analysis using the binary logit model and the ordered logit model. First of all, as a result of the empirical analysis using the binary logit model, the determinants of using the reverse mortgage were age, region, assets, household member, children with financial help, and education level. As a result of the empirical analysis using the ordered logit model, the determinants of the satisfaction level of the reverse mortgage were estimated to be age, gender, and region. Based on the results of the empirical analysis, it is necessary to find a way to increase the participation rate of the reverse mortgage and to improve the satisfaction of the user.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.197-203
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• 2014

This study deals with a comparative analysis on reverse mortgage loans and mortgage loans in order to pave a path for activation of real estate financing. The fact-revealing analysis was conducted through surveys based on theoretical consideration and advanced researches, which has drawn a range of findings. As the results of this study, the important findings concerning the improvement on the activation of practical housing reverse mortgages are applicable to all real estate, diversifying the tax benefits, and deregulation of 1 house, etc. and findings concerning the improvement to activate mortgage loans are diversifying types of interest rates, diversifying types of repayment, tax benefits for less than 15 years maturity period, and granting benefits(low interest rates, higher loan limits) to low-income households, etc. This study has a significance for providing basic materials in order to accomplish advanced finance policies along with social welfare services as suggesting measures to improve and activate real estate financing through the findings out of the fact-revealing analysis conducted as above.

• Korean Journal of Construction Engineering and Management
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• v.11 no.5
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• pp.32-40
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• 2010

Recent periodical boom and burst of house price have made mortgage lending issues become the main public interest in Korean real estate market. However, because mortgage-lending issues had not been discussed until then, housing market forecasting associated with mortgage lending has been difficult while using an empirical approach. Thus, comprehensive and systematic approach is required as well as validity of mortgage lending policies should be evaluated. In this regard, this research conducts a sensitivity analysis to validate the proposed policies and estimates the effects of current policies on LTV and DTI ratios with a comparison of another policies scenario. A causal loop and sensitivity analysis using system dynamics confirmed that LTV and DTI regulation is strong clout to housing market. However, to prevent transfer of potential mortgage borrowers to nonmonetary institutions, regulations in loans of nonmonetary institutions should be practiced in accompaniment with regulations of primary lending agencies.

• Communications for Statistical Applications and Methods
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• v.7 no.2
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• pp.605-616
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• 2000

Three primary interests frequently raised by mortgage companies are introduced and the corresponding statistical approaches for the default probability in mortgage companies are examined. Statistical models considered in this paper are time series, logistic regression, decision tree, neural network, and discrete time models. Usage of the models is illustrated using an artificially modified data set and the corresponding models are evaluated in appropriate manners.