• International Journal of Human Ecology
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• 제5권1호
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• pp.83-95
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• 2004

The purpose of the study was to examine the determinants of financial well-being of the baby boomers. With data on 1,789 households from the 1998 Survey of Consumer Finances, the study provided a profile of baby boomers using demands, resources, financial attitudes, and financial practices. The descriptive statistics showed that 18% of the baby boomers were financially well off showing that they met the guidelines for two financial ratios: liquidity and solvency ratio. The results of logistic analysis on the measures of financial well-being revealed that financial management practices played an important role in predicting boomer's financial well-being. This suggested a positive approach of financial education to the baby boomers to help them manage their current finance well as well as prepare for their retirement.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 추계학술발표대회
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• pp.832-834
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• 2015

최근 CCRA(Common Criteria Recognition Arrangement) 협정서 개정에 따라 공통평가기준인 CC(Common Criteria) 평가제도에 변화가 생기고 있다. 현재의 CC 평가제도가 가지는 한계를 보완하고자 PP(protection profile)를 대신하는 cPP(collaborative protection profile)가 개발되었는데, 기존의 폐쇄적으로 운영되던 PP 개발 프로세스와 달리 cPP 개발에는 CCRA 회원국의 여러 기관 및 기업이 적극적으로 개발에 참여할 수 있다. 따라서 현재 세계 각국에서 cPP 개발에 관한 논의가 활발히 진행되고 있으며 세분화된 연구도 요구되고 있다. 본 논문에서는 기존의 CC 평가제도가 가지는 한계를 살펴보고 이러한 한계를 극복하기 위한 cPP의 등장 및 개정되는 새로운 CC 평가제도의 운영을 분석한다.

• The Journal of Asian Finance, Economics and Business
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• 제5권4호
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• pp.9-20
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• 2018

Global rating agencies, such as Moody's and S&P, have assigned credit ratings to corporate bonds issued by Japanese firms since 1980s. Local Japanese rating agencies, such as R&I and JCR, have more market share than the global raters. We examine the yield spreads of 1,050 yen-denominated corporate bonds issued by financial firms in Japan from 1998 to 2014 and find no evidence that bonds rated by at least one global agency are associated with a significant reduction in the cost of debt as compared to those rated by only local rating agencies. Unlike non-financial firms, the reputation effect of global rating agencies does not exist for Japanese financial firms. We also observe that firms with less information asymmetry are more likely to acquire ratings from Moody's or S&P. Additionally, the firm's financial profile does not affect its choice to seek out ratings from global raters. Our findings are contradictory to those by Han, Pagano, and Shin (2012), who employ bonds issued by non-financial firms in Japan. Our conjecture is that the asymmetric nature of financial firms makes investors less likely to depend on a credit risk assessment by rating agencies in determining the yields of new bonds.

• 대한가정학회지
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• 제46권1호
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• pp.87-101
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• 2008

Using the 1999 National Survey of America's Families(NSAF), this study investigated the factors that affect child care expenses and examined financial and social support of single mother families in the U. S. In this study, 4,676 single mother families with children aged twelve and under are included for the analytical sample. About half of all single mother families with children under age 12 had some amount of child care expenses in 1999. Monthly child care expenses for those who had child care expenses was an average of $255 and it accounted for about 15 percent of their family earnings. The profile of financial and social support showed that about one-quarter of single mothers received financial support for child care, one-fifth received free child care by relatives and about 40 percent received child support payments from nonresident fathers. Tobit analysis results showed that the significant factors that affected child care expenses were mother's age, marital status, educational level, employment status, the numbers of children aged 0-5, family income, the receipt of public assistance and financial support for child care.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.733-736
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• 1996

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bankruptcy prediciton on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediciton. Therefore, we have decided to focus on textiles and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

• 경영과학
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• 제14권2호
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• pp.91-111
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• 1997

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bandkruptcy prediction on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediction. Therefore, We have decided to focus on textile and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

• 한국경영과학회지
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• 제14권2호
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• pp.91-91
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• 1989

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bandkruptcy prediction on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediction. Therefore, We have decided to focus on textile and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

• The Journal of Asian Finance, Economics and Business
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• 제3권2호
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• pp.21-31
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• 2016

Although the microfinance sector in Bangladesh is mainly driven by Non-Governmental-Organizations (NGOs), there are other types of Microfinance Institutions (MFIs) that also provide financial services to the poor. Despite the criticism of microfinance programs, the current poverty situation in Bangladesh still requires such programs for consistently battling poverty. Hence, the aim of this paper is to profile the microfinance sector based on their legal status and investigate any possible differences (if any) between them in various aspects. After a thorough investigation of the sector, it was found that around 33 million of the clients are being served by the mainstream MFIs (NGO and Grameen Bank) while another 10-15 million clients are served by other types of MFIs (financial cooperatives, credit unions, various ministries etc.), accounting for the one-third of the total population in Bangladesh. While the mainstream MFIs basically works with poor, other categories of MFIs are concerned with relatively wealthy clients. Looking into the financial performance and social intermediation of the MFIs, the NGO-MFIs performed better than other types of MFIs in the sector.

• 한국사회복지학
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• 제57권3호
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• pp.415-435
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• 2005

본 연구는 '계획된 행동이론'과 '계층적 성격모델'을 이론적 근거로, 65세 이상 고령자의 '은퇴에 대한 재정적 준비행동'을 결정하는 개념적 구조를 고찰하였다. '충주지역 고령인구의 보건 복지실태'의 원자료를 이용하여 65세 이상 노인 253명의 자료를 분석하였다. 구조방정식모형을 이용한 분석결과, '은퇴준비를 위한 재정적 지식'과 '은퇴에 대한 재정적 준비행동' 사이의 인과관계만이 유의미한 것으로 나타났으며 가정된 구조방정식모형의 모형합치도는 매우 높은 것으로 분석되었다. 본 연구의 결과는 성격의 표면적 특성이 행동에 영향을 미친다는 계층적 성격이론과 지식은 행동의도가 실질적 행동으로 표면화되는데 결정적 변인이라는 계획된 행동이론의 논지를 실증하였다. 끝으로, 은퇴에 대한 재정적 준비를 위한 사회적 프로그램의 필요성 등 본 연구가 제안하는 사회복지의 실천적 함의가 논의되었다.

• 정보처리학회논문지C
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• 제17C권3호
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• pp.223-232
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• 2010

인터넷의 발달로 기존의 많은 오프라인 서비스가 온라인 서비스로 확장되면서 금융 거래 서비스 역시 편리성을 이유로 인터넷 뱅킹 시스템을 통해 서비스가 제공되고 있다. 하지만 인터넷 뱅킹 시스템 개발 과정에서 보안성에 대한 고려가 부족하여 여러 보안 문제점을 갖고 있고 실제로 인터넷 뱅킹 시스템에 보안 사건들이 빈번하게 일어나고 있는 실정이다. 이런 문제점을 해결하기 위하여 금융기관은 ISO 20022, ISO/IEC 27001, ISO/IEC 9789, ISO/IEC 9796 등의 국외 표준과 웹 환경 구축 및 운영을 위한 보안관리 지침, 전자상거래 표준화 로드맵 등 국내 표준을 적용하고 있지만 인터넷 뱅킹 시스템에 관한 보안요구사항 등이 제대로 고려되지 않아 여전히 취약성이 발생하고 있다. 본 논문에서는 기존 표준들에 대해서 설명하고 인터넷 뱅킹 시스템에 단일 표준 적용시 보안을 보증하지 못하는 이유에 대해서 살펴본다. 또한 인터넷 뱅킹 시스템의 취약성을 설명하고 보안기능을 분석해 그 특징에 맞는 보안기능 요구사항을 도출하고 이를 통해 공통평가기준 V3.1을 참고로 하여 인터넷 뱅킹 시스템의 보안을 강화하기 위해 특화된 보호프로파일을 제안한다.