• Title/Summary/Keyword: Mortgage Loan

Search Result 43, Processing Time 0.025 seconds

A Study on Determinants of Financial Soundness of Savings Banks (저축은행 재무건전성 결정요인에 대한 연구)

  • Bae, Soo Hyun
    • The Journal of the Convergence on Culture Technology
    • /
    • v.5 no.4
    • /
    • pp.277-282
    • /
    • 2019
  • This study analyzed the determinants of the financial Soundness of savings banks. In particular, empirical analysis was carried out on how the loan deposit ratio correlates with financial soundness after restructuring. As the restructuring of savings banks was finalized in 2014, asset management changed and it is time to analyze the financial characteristics of savings banks. In summary, the relationship between the savings bank lending rate and the NPL ratio is estimated to have a negative value at the 1% significance level. In other words, the higher the mortgage rate, the lower the substandard and below ratio. It can be said that it is not easy for a savings bank to build an aggressive loan portfolio. In other words, the more difficult it is to finance loans through savings deposits, the more likely the risk aversion tends to be. The higher the corporate loan ratio, average interest expense, and economic growth rate, the higher the risk index. The larger the asset size and the higher the loan growth rate, the lower the risk index. Increasing the mortgage rate may reduce risk-seeking behavior, but it does not mean that it is unconditionally positive for savings banks. Therefore, the loan deposit rate regulation should reduce the incentives for excessive asset expansion and manage preemptive soundness through lending portfolio management.

Empirical Analysis on the Spillover Effects between Korean and U.S. Stock Market after U.S. Financial Crisis (서브프라임사태 전후 한미간 정보전이현상에 관한 연구)

  • Yae, Min Soo
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.4 no.4
    • /
    • pp.113-125
    • /
    • 2008
  • This paper investigates the spillover effects(co-movements) between korean and U.S stock market by KOSPI and DJIA Index. Especially it compare to the pre- and post period of U.S. financial crisis resulted from sub-prime mortgage loan. The main results are as follows. First, the spillover effects of DJIA(U.S. market) to KOSPI(Korean market) are strong. This result accord with the former researches on this subject. Second, spillover effects are more strong after U.S. financial crisis. A possible reason for this phenomenon is a trend which the major investors such as foreign and institutional investors in domestic stock market have more attention to U.S. stock market. Third, the spillover effects appear in the opposite direction, that is KOSPI(Korean Stock Market) to DJIA(U.S. Stock Market). It seems to be the results of asian stock market's growing infIuences to European and U.S Markets.

Effects of Easing LTV·DTI Regulations on the Debt Structure and Credit Risk of Borrowers

  • KIM, MEEROO;OH, YOON HAE
    • KDI Journal of Economic Policy
    • /
    • v.43 no.3
    • /
    • pp.1-32
    • /
    • 2021
  • With CB data in South Korea, this study examines whether the credit risk of borrowers changes when the regulation on bank mortgage supply is relaxed. We analyze the effect of deregulation on LTV and DTI limits in the Seoul-metropolitan area in August 2014 with a difference-in-difference approach. We find that the probability of delinquency is lower in the Seoul metropolitan area after the deregulation than in other urban areas. The effect is noticeable among low-income and low-credit borrowers. We also find that borrowers change their debt structure to reduce the interest costs utilizing their improved access to bank mortgages. The findings suggest the necessity to consider the burden of the high interest costs of unsecured loans for debtors with low incomes and low credit ratings in designing housing finance regulations.

A Study on the Need to Introduce Super-Long-Term Mortgage to Expand Freedom of Housing Choice (주거선택 자유 확대를 위한 초장기 모기지 도입 필요성에 관한 연구)

  • Hong, Sung-Hyun;Hong, Hee-Jeong
    • Journal of Digital Convergence
    • /
    • v.19 no.2
    • /
    • pp.13-19
    • /
    • 2021
  • The purpose of this study is to find a reasonable solution that is compatible with the government's policy on calming the overheated housing market and the needs of prospective home buyers. For this purpose, this study analyzed the current state of the housing market and looked at the root cause of the people's desire to purchase housing. And this study suggested the need to introduce a super-long-term mortgage system that can help people choose whether to own or rent a house in accordance with individual preferences. The super-long-term mortgage system would be useful in that the majority of people who currently use mortgages prefer long-term loan products and that it could provide a chance to "get their own homes" by easing the monthly repayment burden for those who want to have homes. If the system is introduced in the future, it is necessary to make efforts for stable operation such as risk-hedge. In particular, the government should apply a limited application to end-users so that they can curb rising housing prices and contribute to stabilizing housing prices.

Effect of Real Estate Holding Type on Household Debt

  • KIM, Sun-Ju
    • The Journal of Industrial Distribution & Business
    • /
    • v.12 no.2
    • /
    • pp.41-52
    • /
    • 2021
  • Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

Risks of Mortgage-Backed Securities and Their Pricing (MBS의 위험과 가치평가)

  • You, Jin
    • The Korean Journal of Financial Management
    • /
    • v.24 no.3
    • /
    • pp.29-62
    • /
    • 2007
  • We examine the methods to increase MBS values given parameters of default risks of individual mortgages and their correlation, and analyze the effects of these parameters on the efficiency of the methods. First, the values of MBS can be improved when they are comprised of low-correlation mortgages regardless of specific forms of investors' utility functions. Second, the values of MBS can also be raised even after their components mortgages are determined. More specifically, when investors' utilities are heterogeneous, CMO's of a less risky tranche and a riskier tranche are highly valued compared with pass-through securities of two identical tranches. When investors' utilities are homogeneous(risk averse), however, the latter meets the needs of investors better than the former does. Third, it can be shown that the efficiency of the methods in this paper is an increasing function of default risks of mortgage loans or of the correlation between them, and a decreasing function of the amount of the price fall of MBS when in default.

  • PDF

The Improvement of Housing Affordability by Transportation Savings in the Suburbs of Seoul Metropolitan (통근비용절감을 통한 서울근교도시 거주자의 주택구입능력 개선효과)

  • Choi, Jung-Woo;Baek, Sung-Joon;Lee, Jong-Hoon
    • Journal of the Korean housing association
    • /
    • v.23 no.5
    • /
    • pp.31-39
    • /
    • 2012
  • This study has analyzed the effect of the housing affordability improvement of the residents in the metropolitan areas, applying Transit Supportive Home Loan (TSHL) which extends the loan amount according to the transportation cost saving based on Location Efficiency Mortgage (LEM) System in the USA. The previous studies focused on introducing LEM system to Korea, whereas this study has analyzed TSHL effect for the first time, taking into account the situation in Korea. For analysis, The Transportation Savings (TS) is calculated and Housing Affordability Index (HAI) is drawn by applying increased TS and DTI (Debt to Income), so the improvements of housing purchasing ability is examined by HAI's improvement. As a result, transit commute 1 (having own car) and transit commute 2 (without having own cars) respectively produce the TS of monthly average 36 thousand won and 110 thousand won in comparison with car using commute. Each additional loan (TSHL) amounts to 16.57 million won and 54.07 million won. As the distance is farther and the house price cheaper, the improvement of HAI is more outstanding. City hall area showed the highest improvements of HAI by 9.3% (transit commute 1) and 21.9% (transit commute 2) increase, in comparison with car using commute.

A Study on Determinants of Subjective Repayment Burden in Household Debt by Income Quintile Groups (가구의 소득분위별 가계부채 주관적 상환부담요인에 관한 연구)

  • Park, Yoon-Tae;Rho, Jeong-Hyun
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.9
    • /
    • pp.145-158
    • /
    • 2017
  • Lately, rapid increase of household debt and economic change has affected cash flow of household, insolvent risk has increased by high repayment burden of the principal and interest. Previous researches was progressing various discussion, composed objective repayment burden index about household debt. But it was relatively insufficient about perception of consumer. This research compare and analysis determinants of subjective repayment burden in household debt by income quintile, using 2016 Household Financial Welfare Survey. The research result is follows. The income 1 and 2 quartile groups have the higher monthly rent and credit card loan and the housing preparation loan ratio, the higher burden on repayment of the principal and interest. The Income 3 and 4 quartile groups have the higher 60s or older and member of household and real estate mortgage loan, the higher burden on repayment of the principal and interest. The Income 5 quartile group has the higher loan ratio for debt repayment preparation, the higher burden on repayment of the principal and interest.

Artificial Intelligence Techniques for Predicting Online Peer-to-Peer(P2P) Loan Default (인공지능기법을 이용한 온라인 P2P 대출거래의 채무불이행 예측에 관한 실증연구)

  • Bae, Jae Kwon;Lee, Seung Yeon;Seo, Hee Jin
    • The Journal of Society for e-Business Studies
    • /
    • v.23 no.3
    • /
    • pp.207-224
    • /
    • 2018
  • In this article, an empirical study was conducted by using public dataset from Lending Club Corporation, the largest online peer-to-peer (P2P) lending in the world. We explore significant predictor variables related to P2P lending default that housing situation, length of employment, average current balance, debt-to-income ratio, loan amount, loan purpose, interest rate, public records, number of finance trades, total credit/credit limit, number of delinquent accounts, number of mortgage accounts, and number of bank card accounts are significant factors to loan funded successful on Lending Club platform. We developed online P2P lending default prediction models using discriminant analysis, logistic regression, neural networks, and decision trees (i.e., CART and C5.0) in order to predict P2P loan default. To verify the feasibility and effectiveness of P2P lending default prediction models, borrower loan data and credit data used in this study. Empirical results indicated that neural networks outperforms other classifiers such as discriminant analysis, logistic regression, CART, and C5.0. Neural networks always outperforms other classifiers in P2P loan default prediction.

Determinants of Re-Subscription Period of Early Termination Subscribers of Reverse Mortgage (주택연금 중도해지자의 재가입 소요기간 결정요인 분석)

  • Ryou, Ki Yun;Choi, Yeol
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.42 no.6
    • /
    • pp.869-877
    • /
    • 2022
  • This study aims to analyze the factors affecting the re-subscription period upon initial termination of the reverse mortgage subscription. The study utilized the Korea Housing Finance Corporation's database to extract the information regarding re-subscribers of the reverse mortgage from July 2007 to June 2021. The ordered logit model was employed and found that a set of user (subscriber) characteristics are influential towards the re-subscription period. Among the individual characteristics, changes in age group, marital status from married to single-living, maintaining single-living, and the initial subscription period were found statistically significant, highlighting that the increase in the initial subscription period decreased the re-subscription period. Among the housing (home equity) characteristics, changes in housing price and ownership type (single and partial ownership) were statistically significant, indicating that the change in ownership type decreases the re-subscription period. Lastly, the variables related to loan terms were found significant, revealing that changes in payout method and schedule were both increasing factors of the re-subscription period. Based on the findings, necessary policy implications can be considered to secure the returning subscribers of the reverse mortgage effectively.