• Human Ecology Research
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• 제62권3호
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• pp.409-426
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• 2024

The purpose of this study was to analyze the financial portfolios of single-person households. For the analysis, data from the Korean Labor Panel Survey (2021) was utilized, comprising 2,905 single-person households. The major findings are as follows: First, the proportion of households with monthly savings was 32.0%, while the proportion of households holding financial assets was 72.1%. Second, regarding the composition of monthly savings, single-person households predominantly held savings accounts (93.3%), followed by insurance (4.7%), with cumulative funds at a mere 0.8%. The composition of financial assets showed that the majority were in bank deposits (78.5%), followed by risk management assets (18.0%), and investment assets (2.4%). Third, multivariate analysis results revealed that younger age, higher education level, and better financial factors were associated with a higher probability of having monthly savings. The results for financial assets were largely similar, with females showing a higher likelihood of asset possession compared to males. Fourth, the proportions of both bank savings in total savings and insurance generally had opposing effects. Fifth, age group had the greatest influence on the proportions of safety and insurance assets, followed by income group. Middle-aged households had lower proportions of safety assets but higher proportions of insurance assets compared to young households, while the opposite trend was observed for elderly households. Middle-income households had higher proportions of insurance assets compared to low-income households, whereas high-income households had higher proportions of investment assets. Lastly, cluster analysis categorized single-person households' financial portfolios into five groups: Group 1 (32.2%): "Old-Sustain" characterized by insufficient current income but economically stable retirement. Group 2 (29.4%): "Financially Active" engaging in various financial activities due to relatively high education and employment rates. Group 3 (28.0%): "Financially Inactive" classified as elderly groups with minimal financial activities. Group 4 (9.1%): "Risk Financial Structure" consisting of relatively young individuals focused on risk management assets but facing issues in financial asset management due to high-risk assets and financial loans. Group 5 (1.3%): "Stable-Insurance Oriented" with high financial assets and income concentrated in insurance for both savings and financial assets.

• 유통과학연구
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• 제20권10호
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• pp.61-66
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• 2022

Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.

• 가정과삶의질연구
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• 제25권3호
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• pp.89-106
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• 2007

This paper diagnoses the financial knowledge of the college students and their values on financial situation. Another emphasis is given to the classification of surveyed college students based on their financial knowledge and values and the financial traits of each classified group is also analyzed. Statistical analysis was conducted using Cronbach's ${\partial}$, factor analysis, t-test, one-way ANOVA, and Duncan's multiple range test with total number of 733 questionnaires. Primary results of the research are as follows: First, overall score of financial knowledge was 62.65 points, showing the highest points in spending while lowest in savings and investment. Senior classes, students majoring in liberal arts, students with financial education and media experiences scored high points. Second, overall score of college students on financial values was 3.92, resulting in high points on credit and frugality but points on sharing with others were low. Thirdly, all surveyed students were classified into 4 types based on the mean scores on financial knowledges and values. Total 31.7% of students belonged to Type 1 where students scored high points on financial knowledge and values. Type 2 had about 22.4 % of students whose financial score was high but value score was low. Type 3 occupied 24.2% and this group scored low points on financial knowledge but high points on financial values. Type 4 occupied 21.8% and was a group of students whose scores for financial knowledge and values were low. Finally, Type 1 and 3 groups showed better desirable behaviors for financial management and expressed higher satisfaction status for finance than Type 2 and 4. Type 1 is a group of students whose subjective financial level was high. Monthly income was highest in Type 2 and financial stress was lowest in Type 1.

• 가족자원경영과 정책
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• 제15권2호
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• pp.147-171
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• 2011

The purpose of this study was to examine low-income households' financial problems and the demand for financial counseling. For these purposes, a survey of 500 low-income households was conducted by an on-line survey company. The results were as follows. First, four types of low-income households classified by income and job criteria were: the not-working poorest (16.2%), the working poor (27.0%), the not-working low-income (13.8%), and the working low-income (43.4%). Also, seven areas of financial problems were found through factor analysis. They included difficulty of survival, insufficient funds for special expenditures, defaults on financial obligation, decrease of income, increase of debts, emotional anguish, and difficulty in meeting living expenditures. 61.6% of respondents requested financial counseling, and 44.5% of them preferred internet counseling to counseling by phone or in-person, while 49.5% desired access to public counseling organizations. The five types of financial counseling content for low-income households that were found through factor analysis were financial planning, credit management, asset management/investment, public support, and use of credit cards. The low-income householders demanded financial planning counseling and pubic support counseling more than the other types of financial counseling. Logistic regression analysis revealed that the demand for financial counseling participation was significantly influenced by age and income. The demand for financial counseling content was age, income, and types of financial problems. Therefore, general financial counseling programs for low-income households should be expanded. Furthermore, those counseling programs can be useful if they not only include credit management but also financial planning, economic support information and savings.

• 유통과학연구
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• 제16권5호
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• pp.17-29
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• 2018

Purpose - This study analyzed the success strategy of Korean small & medium cosmetics exporting companies to enter the Southeast Asian market. Research design, data, and methodology - The independent factors are classified into firm capacity, financial factor, institutional factor, and operational factor. The results of the selection of distributor partners of cosmetics related export companies as a were classified as financial performance and non - financial performance. In order to analyze this, 65 Korean small and medium export companies were recruited through structured online questionnaire for 44 days from September 18, 2017 to October 31, 2017. These data were analyzed by frequency analysis, correlation analysis, factor analysis and regression analysis using SPSS. Results - The Cronbach's alpha coefficient was found to be 0.846. Factor analysis between variables revealed that the eigen value exceeded 1 and was considered valid. As a result of the correlation analysis between the variables, the financial factor and the corporate's competence showed the highest correlation with 0.774. Conclusions - Among the factors influencing the financial performance of the exporting firms, the factors influencing the financial performance of the exporting companies are the factors that influence the non - financial performance rather than the financial performance.

• 가정과삶의질연구
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• 제28권2호
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• pp.165-179
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• 2010

The purpose of this study was to examine the relationships among the resources, financial management behavior and economic welbeing of wives. The data were collected from 300 participants by questionnaire. The subjects of this survey were 250 wives living in the Pusan and Kyungnam regions. The data were collected by personal interviews and self-administered questionnaires and analyzed by frequencies, correlation analysis, one way Anova, Duncan test, factor analysis, and multiple regression analysis. The major findings of this study were as follows: (1) the regression analysis found that financial management behavior was an important variable affecting the economic wellbeing of wives : and (2) there are statistically significant differences in the levels of financial management behavior and economic satisfaction between households of different socioeconomic levels. Theses results imply that a financial management program focusing on the ways to implement financial behavior effectively should be developed.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.853-866
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• 2020

The purposes of this research were: 1) to investigate the effect of participatory management on financial information asymmetry, 2) to investigate the effect of corporate governance on financial information asymmetry, 3) to examine the influences of benefits incentives on financial information asymmetry, and 4) to test the mediating effects of benefits incentive that influences the relationship between participatory management, corporate governance, and financial information asymmetry. The research sample consisted of 388 Thai-listed firms. Data were collected through a survey questionnaire. Descriptive analysis, Multiple Regression Analysis, and Structural Equation Modeling were used for the data analysis. The results revealed: 1) participatory management and participation in evaluation had a negative influence on financial information asymmetry. 2) Corporate governance and the rights of shareholders had a negative influence on financial information asymmetry. 3) Benefits incentive was negatively associated with financial information asymmetry. 4) The model's influences of participatory management, corporate governance on the reduction of financial information asymmetry through benefits incentive as mediator fit the empirical data (Chi-square = 104.459, df = 84, p = 0.065, GFI = 0.967, RMSEA = 0.025). The variables in the model explained 78.00% and 4.70 % of the variance of benefits incentive and financial information asymmetry, respectively.

• 보건행정학회지
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• 제15권4호
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• pp.81-109
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• 2005

According to many recent studies suggesting that cash flow analysis method tends to be more effective than traditional financial index analysis method to predict corporate bankruptcy, this study applies the cash flow analysis method to hospital business to identify the significant variables which can distinguish between superior hospitals and bankruptcy hospitals. The author analyzed recent 3 years, i.e. from the year of 2000 to the year of 2002, financial statements of 31 bankrupt hospitals In 2003, and the same number of superior hospitals through using Multiple Discriminant Analysis and Logit Analysis. The results are belows; First, the study releases that Logit Analysis is more likely to be effective than Multiple Discriminant Analysis. Second, this research also shows that traditional financial index analysis method is more superior compare to cash flow analysis method for hospital bankruptcy predict model. Finally, this study suggest that the significant variables, which can distinguish superior hospitals from bankrupt hospitals, are Operating/Current Liabilities$(Y_2)$, CFO/Equity$(Y_5)$ for cash flow analysis method and Net Worth to Total Assets Ratio$(X_1)$, Quick Ratio $(X_3)$, Return on Assets$(X_6)$, Growth Rate of Patient Revenues$(X_{16})$ for traditional financial index analysis method.

• 대한가정학회지
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• 제39권9호
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• pp.49-61
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• 2001

The purpose of this study was to examine the usefulness of financial ratios as comparison analysis of households financial status. Two household types were discussed such as earner and self-employed. Financial ratios were developed for 2739 households for earners and 2147 households for self-employed using. Korean Household Panel Study from Daewoo Economic Research Center. Descriptive Statistics were used to analyze the financial ratios and seven different finantial ratios were utilized to compare the fiancial status of two different households type. Easers have more average income and net-assets than self-employed. However, using financial ratios, it was found that self-employed households were more stable than easer. The resets shows that the financial ratio analysis gives better tool to estimate households'financial status. Implications for financial educators, counselors, and planners are offered.

• 한국지역사회생활과학회지
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• 제26권1호
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• pp.177-189
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• 2015

This study investigates the effects of economic factors on happiness in terms of life satisfaction, one of the most important goals in human life, and examines the moderating role of financial management in the effect of financial stress. Data were collected total 341 individuals in Daejeon, Korea(235 college students and 105 women). The factors influencing life satisfaction were analyzed multiple regression analysis. Effects of moderating variables were tested hierarchical regression analysis. Subjective financial stress was related to both individualistic happiness and collectivistic happiness, whereas objective financial stress had a negative effect only on collectivistic happiness. Financial management (specifically control of expenditure behaviors) had positive effects on both individualistic happiness and collectivistic happiness. Financial management moderated the relationship between financial stress and happiness. The results have important implications.