• Title/Summary/Keyword: credit problems

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Cost Ratios for Cost and ROC Curves (비용곡선과 ROC곡선에서의 비용비율)

  • Hong, Chong-Sun;Yoo, Hyun-Sang
    • Communications for Statistical Applications and Methods
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    • v.17 no.6
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    • pp.755-765
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    • 2010
  • For classification problems on mixture distribution, a threshold based on cost functions is optimal from the viewpoint of a minimum expected cost. Assuming that there is no cost information, we propose cost ratios in the expected cost corresponding to thresholds where the total accuracy and the true rate are maximized to explain the relation of these cost ratios minimizing the expected cost. Other cost ratios are also proposed by comparing the normalized expected costs when classification accuracy is maximized. The values of these cost ratios are located between two cost ratios for the expected costs based on classification accuracies, and converge to that of the minimum expected cost. This work suggests two cost ratios: one is minimized by the expected cost and the normalized expected cost, and the other in the expected cost and the normalized expected cost functions that are maximized classification accuracies. We discuss their compatibility based on the relation of these cost ratios.

A Study on the Timing of Convertible Bonds Using the Machine Learning Model (기계학습 모형을 이용한 전환사채 행사 시점에 관한 연구)

  • Ryu, Jae Pil
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.81-88
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    • 2021
  • Convertible bonds are financial products that contain the nature of both bonds and shares, which are generally issued by companies with lower credit ratings to increase liquidity. Conversion bonds rely on qualitative judgment in the past, although decision-making on whether and when to exercise the right to convert is the most important issue. Therefore, this paper proposes to apply artificial neural network techniques to scientifically determine the exercise of conversion rights. We distinguish between a total of 1,800 learning data published in the past and 200 predictive experimental data and build an artificial neural network learning model. As a result, the parity performance in most groups was excellent, achieving an average excess of about 10% or more. In particular, groups 3-6 recorded an average excess of about 20% and group 6 recorded an average excess of about 37%. This paper is meaningful in that it focused on solving decision problems by converging and applying machine learning techniques, a representative technology of the fourth industry, to the financial sector.

Evaluating Importance of Defects through Defect Dispute Case Study in Apartment Buildings (하자분쟁사례를 통한 공동주택 하자 중요도 평가에 관한 연구)

  • Lee, Sang-Hoon;Kim, Jae-Jun;Lee, Sang-Hyo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.56-64
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    • 2019
  • Various defects that occur in the maintenance stage are connected to all kinds of wasted resources and economic losses as additional investments are made. Residents are harmed temporally, materially, and psychologically, and businesses suffer not only monetary losses but also reduced credit ratings. The aim of this study was to increase the efficiency of quality management and minimize defect disputes by estimating the importance of the defect type considering the defect frequency and severity in apartment buildings. For this, 7,548 defect items for 48 apartment buildings were examined. The analysis confirmed that defects are concentrated on RC, finishing and MEP work. In addition, defects with high importance are identified as broken, incorrect installation, missing tasks, and water problems. In addition, the exterior wall/roof, the Internal wall, ceiling, and floor, which are constructed in the field, are more important than the furniture and MEP equipment installed in the field.

Development and Verification of User-centered Design Guidelines on Online Support System for Curriculum at primary/secondary schools (초·중등 교육과정 온라인지원시스템의 사용자 중심의 디자인 가이드라인 개발 및 검증)

  • Cha, Hyunjin;Hwang, Yunja;Noh, eunhee
    • Journal of The Korean Association of Information Education
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    • v.25 no.3
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    • pp.511-525
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    • 2021
  • The purpose of this study is to develop a design guideline to provide user-friendly experience and convenience for the online support system for the curriculum at primary/secondary schools. To achieve the objective, best practices of overseas on the online support system for curriculum as well as prior research were analyzed. In addition, UX/UI usability problems and needs were derived through a survey of 74 professionals and teachers who are monitoring NCIC and high school credit system sites. Based on the analysis of best practices of overseas and survey results, the draft of the design guideline was derived, and Delphi method was conducted by experts to re- vise the design guidelines and evaluate their validity. This study is meaningful in that it suggests the direction of improvement of the system currently being serviced and the direction of the design of the system to be developed in the future, by providing design guidelines that can be generally applied to online support systems that perform tasks related to the curriculum.

Coerced Debt Victimization and Interventions: Focusing on Domestic Violence Research in the United States (강요된 빚 피해 및 개입방안: 미국의 가정폭력 연구를 중심으로)

  • Park, Eonju
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.596-605
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    • 2022
  • This study aimed to introduce research on coerced debt victimization and interventions in the context of domestic violence. To achieve the aim, this study reviewed existing studies on coerced debt conducted in the US. This study discussed the followings: First, coerced debt was theorized by coerced control theory of domestic violence and control mechanisms of economic abuse and conceptualized as fraud and force. Second, the effects of coerced debt included credit damage, economic dependence, and barriers to housing, employment, and safety. Third, to intervene the victimization, service providers should endure uncertainty and its time consuming process of recovering, provide an intense and personalized advocacy, and overcome the problems of absence of policies to support the victims. Finally, service providers should have educations and training programs on the assessment and intervention skills of coerced debt acknowledging empowerment and safety of the victims as the most important.

The Impact of Coffee Shop Franchise CEO Leadership on Innovation Performance: Mediating Role of Organizational Trust (커피프랜차이즈 최고경영자의 리더십이 혁신성과에 미치는 영향: 조직신뢰의 매개효과)

  • Kang, Tae-Won;Yang, Hyun-Keun
    • The Korean Journal of Franchise Management
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    • v.7 no.2
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    • pp.37-45
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    • 2016
  • Purpose - This study aims to examine the impact of leadership on organizational trust and innovation performance, and to identify whether organizational trust plays a mediating role in the relationship between leadership and innovation performance. Also, this study attempts to find out how to improve organizational efficiency and effectiveness based on leadership-based or trust-based strategies. And, this research proposed that organizational trust plays a core mediating role in the relationship between transactional and transformational leadership and innovation performance. Research design, data, and methodology - In order to test the hypotheses of this study, the survey was conducted towards franchise coffee shop employees between November 7 and 18, 2016. We contacted top executives of coffee shop franchise headquarters and explained the purpose of this study. Among 150 questionnaires distributed, 123 were collected. Of these collected questionnaires, 102 questionnaires were coded and analyzed for further analysis. In order to test the unidimensionality and reliability of the factors, factor analysis and reliability test were performed using SPSS/PC+ 22.0. And, the hypotheses were tested using hierarchical mediated regression analysis. Result - The results are as follows. First, transactional leadership, and intellectual stimulation, motivation of transformational leadership had significant impacts on organizational trust. Second, organizational trust, transactional leadership, and influence of transformational leadership had significant impacts on innovation performance. Third, the mediating test of organizational trust showed that transactional leadership plays a partial mediator, and intellectual of transformational leadership plays a full mediator in the relationship between leadership and innovation performance. Conclusions - The implications of this study are as follows. First, the top management should provide their organizational members incentives or rewards based on their performance. Second, top management should identify and express a clear vision and desirable organizational goals for the future, present an idealized vision, and communicate to organizational members that the vision is achievable, also have organizational members to think creatively and find optimal solutions to difficult problems. In sum, this study revealed the important role of leadership in embedding organizational trust in and improving innovation performance of coffee shop employees and the mediating role of organizational trust in the influence of leadership on innovation performance.

Financial and Economic Risk Prevention and Countermeasures Based on Big Data and Internet of Things

  • Songyan Liu;Pengfei Liu;Hecheng Wang
    • Journal of Information Processing Systems
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    • v.20 no.3
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    • pp.391-398
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    • 2024
  • Given the further promotion of economic globalization, China's financial market has also expanded. However, at present, this market faces substantial risks. The main financial and economic risks in China are in the areas of policy, credit, exchange rates, accounting, and interest rates. The current status of China's financial market is as follows: insufficient attention from upper management; insufficient innovation in the development of the financial economy; and lack of a sound financial and economic risk protection system. To further understand the current situation of China's financial market, we conducted a questionnaire survey on the financial market and reached the following conclusions. A comprehensive enterprise questionnaire from the government's perspective, the enterprise's perspective and the individual's perspective showed that the following problems exist in the financial and economic risk prevention aspects of big data and Internet of Things in China. The political system at the country's grassroots level is not comprehensive enough. The legal regulatory system is not comprehensive enough, leading to serious incidents of loan fraud. The top management of enterprises does not pay enough attention to financial risk prevention. Therefore, we constructed a financial and economic risk prevention model based on big data and Internet of Things that has effective preventive capabilities for both enterprises and individuals. The concept reflected in the model is to obtain data through Internet of Things, use big data for screening, and then pass these data to the big data analysis system at the grassroots level for analysis. The data initially screened as big data are analyzed in depth, and we obtain the original data that can be used to make decisions. Finally, we put forward the corresponding opinions, and their main contents represent the following points: the key is to build a sound national financial and economic risk prevention and assessment system, the guarantee is to strengthen the supervision of national financial risks, and the purpose is to promote the marketization of financial interest rates.

Construction of MATLAB API for Fuzzy Expert System Determining Automobile Warranty Coverage (자동차 보증수리 기간 결정을 위한 퍼지 전문가 시스템용 MATLAB API의 구축)

  • Lee, Sang-Hyoun;Kim, Chul-Min;Kim, Byung-Ki
    • The KIPS Transactions:PartD
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    • v.12D no.6 s.102
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    • pp.869-874
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    • 2005
  • In the recent years there has been an increase of service competition in the activity of product selling, especially in the extension of warranty coverage and qualify. The variables in connection with the service competition are not crisp, and required the expertise of the production line. It thus becomes all the more necessary to use subtler tools as decision supports. These problems are typical not only of product companies but also of financial organizations, credit institutions, insurance, which need predictions of credibility for firms or persons in which they have any kind of interest. A suitable approach for minimizing the risk is to use a knowledge-based system. Most often expert systems are not standalone programs, but are embedded into a larger application. The aim of this paper is to discuss an approach for developing an embedded fuzzy expert system with respect to the product selling policy, especially to present the decision system of automobile selling activity around the extension of warranty coverage and quality. We use the MATLAB tools which integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Also, we present the API functions embedding into the existing application.

Mobile phone payment system using a light signal (휴대폰의 광원을 이용한 디지털 카드 시스템)

  • Hu, Moon-Heang;Shin, Moon-Sun;Ryu, Kuen-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.6
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    • pp.1237-1244
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    • 2009
  • In this paper, we proposed a mobile phone payment system using light signal containing payment related information. The digicard system we proposed creates virtual mobile card such as credit numbers and the created information is loaded in mobile phone. The virtual card information should be changed to pulse signal by light signal devices of mobile phone and the specific digicard system reader is able to read light signal. In recent years, a mobile phone payment system has been developed in order to provide user's convenience. But the mobile phone payment system has problems such as the production costs and complex and large size. In order to solve the aforementioned problems, we proposed mobile phone payment system being implemented by updating software without additional hardware modules. Therefore it is possible to apply the proposed digicard system to all kinds of mobile phone. Also encryption module is implemented to solve the problem of the security and privacy. According to an aspect of the present invention, there is provided a mobile phone payment system using a light signal containing payment-related information, comprising: a mobile phone; a photo receiver: and a control server.

Understanding ESG Management and the Possibility of ESG Archives (ESG 경영의 이해와 ESG 아카이브의 가능성)

  • Lim, JongChul
    • The Korean Journal of Archival Studies
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    • no.79
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    • pp.33-82
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    • 2024
  • Interest in ESG management, which spread through the UN PRI in 2006, has recently spread throughout our society. Consumers use a company's activeness in the ESG field as the standard of consumption behavior, and the international community is reorganizing and strengthening various regulatory measures. In the investment market, non-financial performance (ESG information) is used as an important investment indicator along with financial performance (credit rating). Due to these changes in the corporate evaluation paradigm and market pressure, if a company neglects ESG response activities, it is more likely to be excluded from market selection, and accordingly, the importance of ESG management is also increasing. Companies are making various efforts to secure legitimacy in response to these market pressures, but in the process, it is difficult to systematically manage and utilize records/data that are the basis for ESG management. For a basic understanding of ESG management, this paper summarizes the emerging process of ESG and the current ESG-related regulations applied to companies. Through this, it can be seen that ESG management is not carried out with the good will of the company, but is accepted as a management strategy for the survival of the company according to the change in the corporate evaluation paradigm. Through interviews with the company's ESG-related personnel, the company's ESG response process was divided into passive communication and active communication, and the problems identified during the interview were summarized for each communication type. In addition, in the process of passively and actively communicating ESG management information with internal and external stakeholders, the possibility that ESG archives can function as a tool to overcome problems for each communication type was raised, and five types of ESG archives that can play this role were presented.