• Human Ecology Research
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• 제59권1호
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• pp.127-141
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• 2021

This study evaluates the financial status of Korean households using Household Financial Composite Index (HFCI) proposed in the preceding study. We analyzed 1,566 households with four persons aged 30-59 using raw data from the Korea Labor Panel Survey in 2016. The analysis results are as follows. First, HFCI was found to be 57.0 out of 100. Growth Index as one of three subindices was 11.1, which was significantly lower with 65.0 points for Status Index and 61.1 points for the Stability Index. Second, for households with male household owners, the overall financial score was 57.0, while that with female owners was almost similar with 57.2. HFCI was similar for the owner's age groups, but for Status Index, 58.5 for 30s, compared with 66.1 for 40s and 67.1 for 50s. The higher the education level of household owners, the better HFCI, with 53.2 high school graduates and 64.8 graduate graduates, showing a high gap of 11.6 points. HFCI for households living in owned housing was highest at 60.0, while that for rented housing was 40.7. Third, after controlling other effects, it was found that HFCI differed according to the level of education and ownership of housing living. Householder's gender was not found as a significant factor on HFCI. Status Index The 40s and 50s was higher than those in their 30s. Fourth, households were divided into three groups based on HFCI, named as risk, average and secure groups. HFCI for the risk group was 26.8, which was lower than 78.6 for the secure group, with a Status Index of 19.3. Households in their 50s and graduate school graduates were significantly included in the list of secure groups than others.

• 아태비즈니스연구
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• 제14권2호
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• pp.51-61
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• 2023

Purpose - Since COVID-19, the government's expansion of liquidity to stimulate the economy has resulted in an increase in private debt and an increase in asset prices of such as real estate and stocks. The recent sharp rise of the US Federal fund rate and tapering by the Fed have led to a fast rise in domestic interest rates, putting a heavy burden on the Korean economy, where the level of household debt is very high. Excessive household debt might have negative effects on the economy, such as shrinking consumption, economic recession, and deepening economic inequality. Therefore, now more than ever, it is necessary to identify the causes of the increase in household debt. Design/methodology/approach - Main methodology is regression analysis. Dependent variable is household loans from depository institutions. Independent variables are consumer price index, unemployment rate, household loan interest rate, housing sales price index, and composite stock price index. The sample periods are from 2017 to May 2022, comprising 72 months of data. The comparative analysis period before and after COVID-19 is from January 2017 to December 2019 for the pre-COVID-19 period, and from Jan 2020 to December 2022 for the post-COVID-19 period. Findings - Looking at the results of the regression analysis for the entire period, it was found that increases in the consumer price index, unemployment rate, and household loan interest rates decrease household loans, while increases in the housing sales price index increase household loans. Research implications or Originality - Household loans of depository institutions are mainly made up of high-credit and high-income borrowers with good repayment ability, so the risk of the financial system is low. As household loans are closely linked to the real estate market, the risk of household loan defaults may increase if real estate prices fall sharply.

• 한국전자통신학회논문지
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• 제9권3호
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• pp.393-402
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• 2014

ICT환경에서 통계청이 조사하여 발표한 2012년 가계금융. 복지조사에 따르면 우리나라 전체가구중 금융자산은 24.9%, 부동산은 이보다 약 3배나 많은 69.9%로 조사되었다. 문제는 정보화가 더디고, 소득분위(1~4분위)가 낮은 가구가 상대적으로 높은 비율(78.8%~69%)의 부동산자산을 보유함으로써 세계경제의 불확실성 확대와 저성장과 저소비, 정보화로 인한 재택근무 증가 등과 같은 경제구조의 변화로 부동산 가격하락 리스크에 그대로 노출되어 있어 하우스푸어와 랜트푸어와 같은 현상은 저소득층에게 더 심각한 현상이 될 수밖에 없다. 이에 상관관계가 낮은 복합자산으로 포트폴리오를 구성함으로써 개별자산 위험의 가중평균보다 전체수익은 높이면서 위험은 감소시킬 수 있다는 포트폴리오 원리에 기초하여 지역과 유형별로 상이한 ICT환경에서 부동산가격지수로 구성된 포트폴리오에 상관관계가 낮은 금융자산을 포함시킴으로써 복합자산 포트폴리오의 분산효과를 안정형과 성장형으로 나눠 실증 분석하였다.