• Title/Summary/Keyword: 대출 통계

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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.

A Study on the Scheme to Activate an e-Book Service in Academic Libraries (대학도서관 전자책서비스 활성화 방안에 관한 연구 - 대출기록 분석을 중심으로 -)

  • Jung, Jin-Han
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.1
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    • pp.113-133
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    • 2009
  • This study suggests a scheme to activate an e-book service through the analysis on the cause of low usage of the services in academic libraries. The data analysis of e-book circulation records was performed for the purpose of preparing the scheme. Frequency analysis and descriptive statistics were used for basic data analysis. Also, t-test, ANOVA, non-parametric chi-square, and correlation analysis were used to examine whether there are any significant differences between treatment groups divided by gender and major.

A Study on the Effect of Twitter Activities on the Libraries' Performance Indicators within Public Libraries (트위터를 통한 공공도서관 마케팅 효과에 대한 실증적 분석)

  • Han, Nam-Gi;Kim, Giyeong
    • Proceedings of the Korean Society for Information Management Conference
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    • 2014.08a
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    • pp.209-212
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    • 2014
  • 본 연구는 한국 공공도서관의 소셜 미디어 마케팅이 실제로 어떤 효과를 나타내고 있는지를 실증적으로 검토하기 위해 수행되었다. 분석에는 공공도서관의 2012년 트위터 사용 데이터, 국가도서관 통계를 사용하였다. 트위터를 활용한 그룹과 활용하지 않은 그룹 간의 대출량 및 이용자량 변화에 대한 t검정, 트위터 활동 데이터와 대출량 및 이용자량 변화 간의 선형 회귀분석이 수행되었으며, 그 결과 두 분석 모두 유의한 결과를 도출하지 못하였다. 이를 기반으로 표본 문제, 트위터 계정 활용 문제, 성과 지표 문제를 제시하였다.

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A Systematic Analysis on Default Risk Based on Delinquency Probability

  • Kim, Gyoung Sun;Shin, Seung Woo
    • Korea Real Estate Review
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    • v.28 no.3
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    • pp.21-35
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    • 2018
  • The recent performance of residential mortgages demonstrated how default risk operated separately from prepayment risk. In this study, we investigated the determinants of the borrowers' decisions pertaining to early termination through default from the mortgage performance data released by Freddie Mac, involving securitized mortgage loans from January 2011 to September 2013. We estimated a Cox-type, proportional hazard model with a single risk on fundamental factors associated with default options for individual mortgages. We proposed a mortgage default model that included two specifications of delinquency: one using a delinquency binary variable, while the other using a delinquency probability. We also compared the results obtained from two specifications with respect to goodness-of-fit proposed in the spirit of Vuong (1989) in both overlapping and nested models' cases. We found that a model with our proposed delinquency probability variable showed a statistically significant advantage compared to a benchmark model with delinquency dummy variables. We performed a default prediction power test based on the method proposed in Shumway (2001), and found a much stronger performance from the proposed model.

Analysis of public library book loan demand according to weather conditions using machine learning (머신러닝을 활용한 기상조건에 따른 공공도서관 도서대출 수요분석)

  • Oh, Min-Ki;Kim, Keun-Wook;Shin, Se-Young;Lee, Jin-Myeong;Jang, Won-Jun
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.41-52
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    • 2022
  • Although domestic public libraries achieved quantitative growth based on the 1st and 2nd comprehensive library development plans, there were some qualitative shortcomings, and various studies have been conducted to improve them. Most of the preceding studies have limitations in that they are limited to social and economic factors and statistical analysis. Therefore, in this study, by applying the spatiotemporal concept to quantitatively calculate the decrease in public library loan demand due to rainfall and heatwave, by clustering areas with high demand for book loan due to weather changes and areas where it is not, factors inside and outside public libraries and After the combination, changes in public library loan demand according to weather changes were analyzed. As a result of the analysis, there was a difference in the decrease due to the weather for each public library, and it was found that there were some differences depending on the characteristics and spatial location of the public library. Also, when the temperature was over 35℃, the decrease in book loan demand increased significantly. As internal factors, the number of seats, the number of books, and area were derived. As external factors, the public library access ramp, cafe, reading room, floating population in their teens, and floating population of women in their 30s/40s were analyzed as important variables. The results of this analysis are judged to contribute to the establishment of policies to promote the use of public libraries in consideration of the weather in a specific season, and also suggested limitations of the study.

A Study about the Deposit Stations in Japanese Colonial Era (일제강점기 순회문고에 관한 연구)

  • Cho, Yong Wan
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.1
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    • pp.119-150
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    • 2022
  • This study attempted to analyze the deposit stations in Japanese Colonial Era of Korea. To do this, this study reviewed the related literature such as articles, records, statistics, books and reports selected from databases, archives and libraries. The deposit stations were categorized by the colonial governmental bodies that included the central and local governments, by the non-governmental bodies that included the quasi-public organizations, the anti-Japanese organizations and the others and religious organizations and by the public libraries. These deposit stations were analyzed according to the time and purpose of establishment, the audience and area of the services, the ways of the services and the theme and quantities of the collections. Finally, the study could find that the deposit stations were widely adopted to supplement the lack of a library infrastructure by various administrative bodies and non-governmental bodies in Japanese Colonial Era of Korea.

바젤2 자산상관계수 계산공식의 현실성 검토: 중소기업 대출 포트폴리오를 대상으로

  • Gwon, Tae-Go;Jeong, Jae-Man;Jo, Tae-Geun
    • 한국산학경영학회:학술대회논문집
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    • 2004.11a
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    • pp.73-100
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    • 2004
  • 본 연구는 기업은행은 1999년${\sim}$2003년 중소기업 대출 자료로 바젤2 자산상관계수 계산공식의 현실성을 검토하였다. 실증분석 결과에 따르면, 자산상관계수는 매출규모와는 양(+)의 관계를, 신용등급과는 음(-)의 관계를 갖는 것으로 나타나 바젤2 계산공식이 상정하고 있는 자산상관계수 패턴이 국내에서도 현실성이 있었다. 이는 자산상관계수가 매출규모와 음(-)의 관계를 보이는 것으로 보고한 Kim-Park(2004)과 상반되는 결과이다. 또한, 바젤2에서는 60억원 이하의 매출규모에 대해서는 60억원으로 간주하고 있지만, 매출규모 60억원 이하에서도 자산상관계수가 매출규모와 양(+)의 관계를 갖는 것으로 나타났다. 바젤2 계산공식에 의해 산출된 자산상관계수는 자료로 추정한 자산상관계수가 비해 1.3배${\sim}$19.2배 높으며, 이러한 차이는 통계적으로 유의할 뿐 만 아니라 경제적으로도 유의하다. 회귀분석 결과에 의하면, 바젤2 자산상관계수의 상향편의는 주로 계산공식에서 절편을 과도하게 높게 설정하였기 때문에 발생한 것으로 나타났으며, 바젤2에서는 매출규모와 자산상관계수간의 관계를 선형으로 설정하였지만, 로그선형이 실제 자료를 더 잘 적합시키는 것으로 나타났다. 이상의 결과로 보건대, 바젤2의 자산상관계수 계산공식은 비교적 현실적으로 고아된어져 있지만, 국내의 실정에 맞게 조정하기 위해서 보다 광범위한 실증분석이 필요한 것으로 판단된다.

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Corporate Debt Choice: Application of Panel Sample Selection Model (기업의 부채조달원 선택에 관한 연구: 패널표본선택모형의 적용)

  • Lee, Ho Sun
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.428-435
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    • 2015
  • When I examined the corporate financing statistics in Korea, I have recognized that there are several trends of them. First, large enterprises use bank loan and direct financing like corporate bond as debt. Second, small and medium companies mainly use bank loan only. So I argue that there is sample selection bias in corporate debt choice and using sample selection methodology is more adequate when analysing the behavior in corporate debt choice. Therefore I have tested panel sample selection model, using the listed korean firm data from 1990 to 2013 and I have found that the panel sample selection model is appropriate.

A Study on the Behaviors of Complex System Revealed in the Sizes of Public Libraries in Korea (우리나라 공공도서관의 규모에 나타나는 복잡계 현상에 관한 연구)

  • Lee, Soo-Sang
    • Journal of Korean Library and Information Science Society
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    • v.44 no.4
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    • pp.399-419
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    • 2013
  • This paper conducted the empirical analysis of the behaviors revealed in the eight size distributions of the public libraries in Korea. As a result, the behaviors of complex system appeared in all eight size factors. This means that the sizes of public libraries in Korea were highly polarized. Especially, the zipf's law were found in the size factors such as gross area, number of staffs, volume of books, total budget. And the highly uneven distributions were occurred in the size factors such as membership, number of users, number of borrowers, number of borrowed books. This research outcomes show that a new policy of public libraries is needed to resolve the polarization revealed in the sizes of public libraries in Korea.

The Effect of Housing Price Changes on the Performance of Korean Regional Banks (주택가격변동이 지방은행의 경영성과에 미치는 영향)

  • Han, Myunghoon;Jung, Heonyong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.165-170
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    • 2021
  • This study analyzed the effect of housing price changes on the performance of Korean regional banks using DOLS model. The analysis shows that housing price changes does not have a statistically significant effect on the loan growth, profitability and soundness of regional banks. Among macroeconomic variables, only short-term interest rates have a significant positive effect on any model. This means that a rise in short-term interest rates significantly increases loans by regional banks, which leads to a significant increase in profitability, but has a significant negative impact on soundness. On the other hand, bank characteristics variables are found to have a significant negative effect on the loan growth, profitability and soundness of Korean regional banks.