• Journal of Navigation and Port Research
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• v.39 no.1
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• pp.69-75
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• 2015

The concrete purpose of this study is to suggest actually a debt ratio to optimize the capital structure providing a kind of approach to estimate the proper debt ratio with an analytical model and empirical data in Korean shipping industry. The mathematical and analytical model is started from the first equation about ROE, return of net operating income on equity, with an independent variable, debt ratio. It is constructed with several parameters, ROS(return of operating income on sales), TAT(total assets turnover), and NFCL(net finance cost to liabilities). There could not be a certain relationship between debt ratio and ROS or TAT, while some correlation or causality between debt ratio and NFCL. In other words, most of firms with high debt ratio is likely to burden higher finance cost than others with low one. In this case, there is a linearity relationship between debt ratio and NFCL, so then the second equation considering this relation could be included within the analytical approach of this paper. To be short, if the criteria of adequate debt ratio has to be defined as some level of debt ratio to optimize ROE, the ROE could be illustrated as a quadratic equation to debt ratio from two equations. Next, this research estimated those parameters' numbers through the single regression method with data over 12 years of Korean shipping industry, and identified empirically the fact that optimal debt ratio would be approximately 400%. To conclude, if that industry's sales and operating incomes are stable, the debt ratio could be accepted until twice of 200% had forced in order to guarantee its financial safety in past time.

• 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.

• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.63-78
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• 2018

This study examined the insolvency of debtors using multiple-indicator approaches and compared the outcomes across income levels with the 2016 'Household Financial and Welfare Survey'. This study used (1) the total debt to total assets ratio (DTA), (2) the total debt service ratio (DSR), and (3) the Household Default Risk Index (HDRI) recently developed by the Bank of Korea. Households in the lowest income quintile were more likely to be insolvent than any other income group. Demographics, such as age and gender of the household head, and most of the financial variables significantly increased the likelihood of insolvency based on the DTA. The number of household members and job status increased the likelihood of insolvency based on the DSR. Also, age, gender of the household head, and most of the financial variables increased the likelihood of household insolvency based on the HDRI after controlling for other demographics and financial variables.

• Journal of the Korean Home Economics Association
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• v.38 no.11
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• pp.1-12
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• 2000

The purposes of the study were to investigate the effects of the debt burden which was measured objectively, the types of debts and socio-economic characteristics on the subjective debt burden of households. The questionaires for 457 households who hold some debts were analyzed using t-test, ANOVA and Duncan’s multiple range teat. The major finding are summarized as follows: (1) the objective debt burdens which were measured by three variables, that is monthly debt repayment, the ratio of debt repayment to household income and total debt amount, affected the subjective debt burden. The households in which the monthly debt repayment was over 200 thousand won, the debt repayment was over 20% of the household income and the total debt amount was over 15 minion won felt higher debt burden. (2) the types of debts, which were classified into four groups such as debts from financial institutes, debts from private sources, credit card debts and debt from retailers, influenced differently the subjective debt burden. Holding debts from financial institutes and debts from private sources increased the subjective debt burden whereas holding credit card debts and debt from retailers did not. (3) the level of subjective debt burden were different according to household income, change in income due to IMF crisis, financial assets, home ownership, residence, householder’s age, job and educational levee. Based on the results, criterion for household’s debt management were suggested.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.219-235
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• 1992

This study attempted to examine a theoretical framework which synthesizes risk attitude, type of investment management and investment behavior and to provide the specific investment strategy by analysing several variables which have effect upon the investment behavior. The results of this research were as follow : 1. Risk attitude had significant differences by the variabels such as age, sex, education, income and debt/asset ratio. Also the type of investment management was influenced significantly by the variables such as age, education, occupation, income, total asset, debt/asset ratio, achievement motivation and risk attitude. The ratio of risky asset holdings was affected by the variabels such as age, education, occupation, housing ownership, income, total asset, debt/asset ratio, achievement motivation, risk attitude and type of investment management. 2. Among several variables affecting the ratio of risky asset holding risk attitude, education, type of investment management, debt/asset ratio and achievement motivation had direct effect on it. Besides age had indirect effect through risk attitude and age, achievement motivation and risk attitude had indirect effect through the type of investment management. 3. The results of this study showed that causal relation between input, throughput and output can be applied to household's investment behavior and the concept of risk or risk attitude can be applied to other fields except household's investment. Also it could be attributed to provide the investment strategy for improving level of household's financial well-being.

• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.33-57
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• 2017

As there is a growing concern about the steady increase in the consumer debt and its potential consequences on individuals and families, this study examined the association between personal debt and the risk of domestic violence, which in this study is referred to as violence between man and woman who have a spousal relationship. We used the data from the Korea Welfare Panel Study collected from 2009 to 2016. We applied a generalized estimating equation approach for the analysis of panel data. The results show that the higher the ratio of personal debt to disposable income and the ratio of debt payment to disposal income is, the greater the risk of domestic violence. While the debt to income ratio played a role regarding was related to a heightened risk of domestic violence among the poor group, the debt payment to income ratio was associated with a higher risk of domestic violence among the non-poor group. Implications of the study were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.135-142
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• 2017

This study employs an analytical mathematical model to estimate the optimal debt ratio of Korean agricultural corporations, more sensitive to the government debt ratio policy compared to other industries, and the estimation of the optimal debt ratio based on objective data. The analytical model utilizes the equation for ROE, with the debt ratio as an independent variable, and related parameters include ROS, TAT, and NFCL. Regarding the NFCL, the optimal debt ratio standard is defined as the debt ratio that maximizes the ROE by analytical procedures such as adding an equation concerning the debt ratio and a linearity relationship to the analytical model, and from these equations, a quadratic equation with the debt ratio as an independent variable describes the ROE. This methodemploys fourteen years of corporate data. Results show that 138% of debt ratio is the optimal debt ratio to increase the ROE of the corporations, which implies that the existing debt ratio of Korean agricultural corporations is higher than optimal. Consequently, it is required for authorities to change future debt ratio policies in view that the purpose of debt ratio management is to maintain safety and increase profitability.Management should emphasize characteristics of the specific industry rather than standardized judgements based on numerical indexes.

• Analyses & Alternatives
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• v.4 no.1
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• pp.105-123
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• 2020

This study analyzes the risk selection behavior of Japanese households. The study approaches the view of 'the hyperbolic discount' which is used in behavioral economics based on the rise in mortgage lending by low-income households in the late 2000s. The study focuses on how households risk preferences vary by income levels. The study analyzes the relationship of attitude of household interest rate risk using Binomial Logistic and Heckman two-step estimation method assuming that there are only two types of Adjustable-Rate Mortgage and Fixed-Rate Mortgage. As a result of the empirical analysis, low-income households annual income tend to have a higher proportion of housing debt as same as higher interest rate risk preferences households in proportion to income growth and interest rate risk preferences. Those results indicate that there is possibility of a hyperbolic discount on low-income households in Japan, and support the hypothesis that low-income households are relatively higher household debt ratio because of high utility due to home purchase in the near future (short-term).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.301-308
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• 2018

This study explores an analytical mathematical model designed to estimate the optimal debt ratio of the Korean automobile industry, which has a more significant effect on the national economy than that of other industries, and attempts to estimate the optimal debt ratio based on objective data. The analytical model is based on ROA and ROE which uses the debt ratio as an independent variable and employs ROS, TAT, and NFCL as the related parameters. Regarding the NFCL, the optimal debt ratio is usually defined as the debt ratio that maximizes the ROA and ROE and is calculated using analytical procedures, such as by adding an equation that considers the debt ratio and the linearity relationship to the analytical model. This is because the optimal debt ratio can be calculated reliably by making use of an estimated value within a certain range, which is derived from more than two calculations rather than a single estimation starting from one calculation formula. In this study, for the estimation of the optimal debt ratio, the ROA and ROE are expressed as a quadratic equation with the debt ratio as the independent variable. Using this analysis procedure, the optimal debt ratio obtained using the data from the Korean automobile industry over a sixteen year period, which would optimize the profitability of the Korean automobile industry, was found to be 188% of the debt ratio in the ROA and 213% of the debt ratio in the ROE. This result was obtained by overcoming the problem of the reliability of the estimation value in spite of the limitations of the logical theory of this study, and can be interpreted as meaning that maintaining a debt ratio of 188% to 213% can enhance the profitability and reduce the risks in the Korean automobile industry. Furthermore, this indicates that the existing debt ratio of the Korean automobile industry is lower than the optimal value within the estimated range. Consequently, it is necessary for corporations to change their future debt ratio policies, given that the purpose of debt ratio management is to maintain safety and increase profitability, and to take into account the characteristics of the specific industry.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.35-50
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• 2008

The purpose of this study was to analyze the characteristics and financial status of credit delinquents utilizing the debt management program of the Credit Counseling and Recovery Service between January-June in 2007. Total sample of 41,355 cases was analyzed using the statistical program SPSS(Version 12.0). For analysis, descriptive statistics, F-test, Scheffe test, t-test, logit analysis and regression analysis were employed. People in the age range of 30-40s, males, high-school graduates, married couples, part-time employees, costfree residents and residents in other regions were relatively high users of the debt management program. Reasons of credit delinquency were diverse and was combined to credit default. However, increases in expenses and income reductions were found to be the most frequent reasons. Financial conditions of delinquents were worse than those of average persons shown on the national statistics. It was also found that age, sex, educational level, occupation, region of residence, home-ownership, reason of delinquency, income and total outstandings of debt were significant determinants of short-term debt burden which was measured by the ratio of monthly payment to income and long-term debt burden which was measured by repayment period.