• Title/Summary/Keyword: 전세보증대출

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The Effect Factors affecting Lease Guaranteed Loan on Lease Market Fluctuation by Time Series Analysis Model (시계열 분석 모형을 이용한 전세시장 변동에 따른 전세보증대출 영향 요인에 관한 연구)

  • Jo, I-Un;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.6
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    • pp.411-420
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    • 2015
  • With the rapid increase in the price of house lease, a unique housing form in Korea, a serious social issue has been raised as to the use value of house lease and residence stability of the ordinary people. This study thus aimed to analyze the direct factors that affect lease guaranteed loan and market volatility in order to explore the right direction of financial policy to reduce housing burdens. To this end, the direct variables affecting house lease guaranteed loan, including lease price, transaction price and lending rate, were defined. Vector Error Correction Model (VECM), a time series analysis, was employed to dynamically explain the data. Based on the house lease prices and bank data on loans between January 2010 and December 2014, it was found that the increase in lease price was the direct result of the increase in lease guaranteed loan, not that of the decrease in lending rate or increase in housing transaction price.

A Factor Analysis and Regression-Based Prediction Model of Security Deposit Scam Amount for Preventing Rental Scam (부동산 전세사기 예방을 위한 요인 분석 및 회귀 분석 기반 전세보증사고 금액 예측 모델)

  • Seo Jung Ha;Se Hyeon Oh;Soh Jung Ban;Ji Youn Lee;Hyon Hee Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.554-555
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    • 2024
  • 전세 사기로 인한 피해가 해마다 증가하고 있다. 본 연구에서는 부동산 가격과 대출 데이터를 통해 전세 사기의 원인을 분석하고, 이에 대한 대처방안을 제시하였다. 데이터 분석 결과, 주택 가격의 상승과 부동산 정책의 변화가 전세사기에 주요한 영향을 미친다는 것과, 전세사기 사건 수와 부동산 가격 상승 사이에 높은 상관관계가 나타남을 확인했다. 또한, 회귀분석을 사용하여 연도에 따른 전세보증사고 금액 예측 모델을 구축하였다. 이를 토대로 부동산 시장 안정화와 함께 개인 및 정부 차원의 협력이 강화된다면 전세사기 피해를 줄일 수 있을 것이라 기대된다.

Analysis of the Redemption Risk of Renters Using CoLTV (CoLTV 지표를 이용한 임대차주의 상환위험 분석)

  • Lee, Ta Ly;Song, Yon Ho;Hwang, Gwan Seok;Park, Chun Gyu
    • Korea Real Estate Review
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    • v.28 no.1
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    • pp.65-77
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    • 2018
  • This paper analyzes the redemption risk of renters by estimating the LTV and CoLTV with finance market big data (individual credit information) and housing market big data (actual housing transaction data). The analysis showed that when using LTV, the redemption risk was higher in the case of the monthly renter than of the chonsei renter. On the other hand, when using CoLTV, the chonsei renter had a higher redemption risk than the monthly renter. This implies that there is a need to activate a guarantee system, such as risk management using the CoLTV index and the chonsei deposit return guarantee because it is possible for renters to experience losses on their chonsei deposits due to the higher redemption risk. Another implication is that the risk manager should consider the individual characteristics of renters because of the different effects of the redemption risk stemming from the characteristics of the rental contract and the personal characteristics of the renters. CoLTV was just a concept until this study calculated it using housing big data and actual housing transaction information. It helps identify the redemption risk through the characteristics of renters and their contracts.

A Study on Political Correspondence for Paradigm Change of Housing Chonsei and Monthly Rent Market (주택 전월세시장 패러다임변화와 정책 제언)

  • Park, Sang-Hak;Kwon, Chi-Hung;Kim, Kyeong-Mi
    • Land and Housing Review
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    • v.6 no.4
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    • pp.195-213
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    • 2015
  • Recently, there has been changing the housing rental market paradigm structure which has been increased the ratios of partly monthly rental ratios, because of increasing chonsei's price, the preference of monthly rental and the rack of chonsei's supply amount. This study had done a survey of 1,400 people for private and public rental residents by region and housing types during Dec. 2014. According to the result of survey, Market participant prospect strongly to change chonsei to monthly rental market structure and the reason of rising of chonsei's price is the preference of householder's monthly rental because of decreasing interest rate and the rack of chonsei's supply amount. The housing policy's proposal of the stability of low income class's housing and jense's price strongly recommended the expansion of public rental housing supply and the activation of private rental housing, the expansion of chonsei loan, housing boucher etx. The rental market policy for high income class have desired to market autonomy than public side's intervention, on the other hands, the rental market policy for low income class have strongly need to the public side's intervention such as the contiuneous long-term rental housing supply.