• Title/Summary/Keyword: 가계자산

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Assets and liabilities in single-parent households: Differences between male- and female-headed households (한부모 가계의 자산과 부채 상태: 남성가구주와 여성가구주 가계의 차이)

  • Koh, Sun-Kang
    • Journal of Family Resource Management and Policy Review
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    • v.18 no.1
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    • pp.93-114
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    • 2014
  • This study aims to investigate the levels of assets and debts that male- and female-headed households have in comparison to married-couple households. Toward this end, a series of analyses of data from the 2011 Korean Household Finance Survey on the assets and debts of single-parent households are conducted. The empirical results reveal that the amounts of assets and net worth of married-couple households were significantly larger than those of male- and female-headed households. A comparison between male- and female-headed households show that the latter were more likely to hold financial assets such as savings accounts, savings insurance and mutual funds. The amounts of assets of female-headed households were significantly larger than those of male-headed households. Furthermore, the amount of credit card debt in mele-headed households was significantly larger than that in female-headed households.

Generational Divides of Household Wealth and Propensity to Invest in Housing Asset - Baby-boomers and Eco-boomers in the Seoul Metropolitan Area - (세대 간 가계 자산구성 및 주택자산의 투자 성향 분석 - 수도권 거주 베이비부머와 에코세대를 중심으로 -)

  • Lee, Hyunjeong
    • Journal of the Korean housing association
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    • v.26 no.1
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    • pp.109-118
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    • 2015
  • The purpose of this research is to examine generational distinctions of housing investment and household wealth for two different age cohorts - 'baby-boomers' and 'eco-boomers'. In so doing, national survey data of two different periods were analyzed and the primary results are summarized as follows; aggregate assets of both generations have risen, and the rising household debt for baby-boomers was related to loans for living expenses while eco-boomer's debt was ascribed to home-buying loans. In the midst of economic slowdown, the age cohorts had conservative asset allocation in preference for risk-averting investment like savings. The main purpose of saving and investment was distinctive across the groups? retirement for baby-boomers and home purchase for eco-boomers. Both groups prioritized reduction of household liabilities and also were cautious on investing in real estate. Still home-buying was considered to be an important driver for asset accumulation. While baby-boomers were unwilling to dispose any form of owned real estate, eco-boomers found it challenging to take on a long-term investment like home-buying, especially in economic uncertainties. Rather the young generation would diversify asset allocation with better-returning investment commodities like stocks, bonds and derivatives.

Comparison of Financial Status of Employed Elderly Households versus Unemployed Elderly Households Focused on income adequacy, expenditure adequacy and wealth adequacy (소득, 지출 및 자산 충분성 분석을 통한 취업노인가계와 비취업노인가계의 재정상태 비교)

  • 정순희;김현정
    • Journal of Families and Better Life
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    • v.20 no.2
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    • pp.113-122
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    • 2002
  • This study compared the financial status between the employed-elderly households and the unemployed-elderly households, focused on income adequacy, expenditure adequacy and net wealth adequacy. Using data from 1997 KHPS, the lower financial status of the unemployed elderly households were found. Nine measures of financial status were used : income, per capita income, income-to-needs ratio, expenditure, per capita expenditure, expenditure-to-needs ratio, net wealth, net wealth-to-income ratio and net wealth- to-expenditure ratio. The results of this study showed that unemployed elderly households had 68%~77% of income adequacy and 72%~83% of expenditure adequacy for employed elderly households. Holding for gender, age, education, earners in the household, living area and home ownership constant, although the gap was getting smaller, significant differences between the unemployed-elderly households and the employed-elderly households were persisted. The result of this study indicated that the unemployed-elderly households and the employed-elderly households can not be regarded ac homogeneous group when public policies are developed.

The Effect of Financial Condition in Saving Banks on Loan Portfolio (저축은행 재무상황이 대출포트폴리오에 미치는 영향)

  • Bae, Soo Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.379-384
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    • 2020
  • The purpose of this study is to analyze the impact of individual savings banks' financial conditions on their loan portfolio after savings bank restructuring. The analysis results are as follows. First, it was estimated that the relationship between the rate of change in the NPL Ratio and the ratio of household loans has a significant positive value. Second, it was estimated that the interaction effect between the rate of change in the ratio of fixed and below loans and the spread of the deposit-to-deposit rate has a significant negative (-) value with the household loan weight. Third, the relationship between the asset size and the proportion of household loans was estimated to have a significant positive (+) value. In other words, it was analyzed that the financial situation of the savings bank affects the loan portfolio, and it should provide important implications for establishing policies for each financial situation of the savings bank. Depending on the financial situation in the future, there is a need to avoid excessive asset expansion of specific loans and preemptive soundness management.

Determinants of Households with Risky Debts (부채 취약가계 결정 요인)

  • Baek, Eun-Young;Sung, Yong-Ae
    • Korean Journal of Human Ecology
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    • v.21 no.2
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    • pp.225-240
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    • 2012
  • The purpose of this study was to investigate the determinants of households with risky debt loads. The study used financial ratios to determine which households were over-indebted. The 3 ratios used were Debt to Asset ratio, Debt to Financial asset ratio, and Debt Service ratio. Data for this study was the 2011 Survey of Household Finance. Households that demonstrated total debts of 70% or more when compared to total assets were 8.8%. Households that demonstrated a debt load totaling 5 or more times their total financial assets were 19%. Households with monthly repayment obligations of 40% or more of disposable income were 20%. Households that fulfilled all 3 financial ratio criteria were 1.5% of total indebted households. Over-indebted households demonstrated severe economic condition in terms of debt, but not all over-indebted households were categorized as being in economically vulnerable group. The major determinants of households with risky debts were income, asset, purpose of loans, and spending behavior of the households.

Analysis On the Retiring Baby Boomers' Impact on the Real Estate Market and How the Financial Sector Should Respond to the Resulting Changes (베이비붐 세대 은퇴로 인한 주택시장의 변화와 금융권의 대응방안 연구)

  • Jeon, In-Su;Min, Guy-Sik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.921-928
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    • 2011
  • As the Baby Boom Generation continues to age and face retirement, they are expected to reduce the overall demand for housing and liquidate assorted assets, triggering significant changes in the real estate market. With that in mind, this report analyzes the characteristics and the asset structure of the average Korean Baby Boomer to better understand the impact their retirement will have on the real estate market and what actions the domestic financial institutions should take in response.

Asset-Liability Analysis of Baby-Boomer Households: Comparison of year 2006 and 2011 (베이비붐세대 가계의 자산.부채상태 분석: 2006년과 2011년 비교)

  • Cha, Kyung-Wook
    • Journal of Family Resource Management and Policy Review
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    • v.16 no.3
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    • pp.153-176
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    • 2012
  • This study gives an account of the state of baby-boomer households in regard to assets and liabilities utilizing the 2006 Household Asset Survey and the 2011 Survey of Household Finances. Using the data gathered from each year, this study examined the proportion of households who had each type of asset and liability, and the amount of them. This study also compared the amount of assets and liabilities of baby-boomer households with those of non baby-boomer households in 2006 and 2011 respectively. Finally, this study examined the amount of change and composition ratio of assets and liabilities of baby-boomer households between 2006 and 2011. Selected financial ratios were also presented for both years. Major findings are as follows. The average asset amount for baby-boomer households was approximately 296 million in 2006 and 392 million in 2011. Of total assets, 78% and 76.5% were real assets in 2006 and 2011 respectively. The average financial assets of 2006 baby-boomer households were approximately 66 thousand and the average amount of debt was 42 thousand. For 2011 baby-boomer households, the average amount of financial assets was 92 thousand and the average amount of debt was 73 thousand. Results from the 2011 survey showed that baby-boomer households had a significantly higher proportion of total assets, total debt, and net worth than non baby-boomer households. The proportion of savings, saving insurance, stocks, and mutual funds were significantly higher for baby-boomer households than non baby-boomer households in 2011. In regard to financial ratios, the emergency fund index and debt burden index were appropriate to the guidelines of asset quality, although the propensity to investment indexes were not.

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An Analysis of Household Debt by Financial Wealth Levels (금융자산수준별 가계부채 분석)

  • 정순희
    • Journal of Family Resource Management and Policy Review
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    • v.7 no.2
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    • pp.45-57
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    • 2003
  • This study analyzed the differences in household debt characteristics by wealth levels. The dataset used was the 2000 National Survey of Family Income and Expenditure. The major findings of this study were as follows; First, about 49% of sample owned some amounts of debt. Household in high wealth levels had lowest debt burden while households in low wealth level had highest debt burden. Second, the amounts of debt owed to financial agents were highest regardless of wealth levels. Third, all groups borrowed money for the purpose of purchasing real estate.

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