• Asia Marketing Journal
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• 제25권1호
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• pp.37-44
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• 2023

Firm innovativeness and financing capacity are critical signals to stakeholders as they are key drivers of firm performance and competitiveness and indicate the firm's ability to fund its operations and growth initiatives. Based on signaling theory, this study investigates the signaling effect of a firm's innovativeness and creditworthiness and examines its signaling effectiveness. Using Korean innovation data and Korea Investors Service financial data for nine years, the findings indicate that a firm's technological innovation has a negative impact on its credit ratings, while non-technological innovation has a positive impact. Furthermore, a firm's credit ratings positively impact its performance. The current study contributes to the literature on signaling theory by exploring the signaling effect of a firm's innovativeness and creditworthiness. The findings provide insights for managers on how to send and monitor signals to stakeholders.

• 동아시아경상학회지
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• 제8권4호
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• pp.45-65
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• 2020

Purpose - This paper is to analyze the system and the models of financial analysis in the assessment of economic consistency and the creditability of borrower. To test the process of complex express-analysis, it is utilized by the concentric matrix models by using the matrix of 5×5.. Research design, data, and methodology - The estimation of economic consistency, the creditworthiness, the complex express-analysis with application of concentric matrix models were carried out on the basis of data of the report for the 2017 of corporations POSCO and in the first half of the 2018 Daewoo Shipbuilding & Marine Engineering of South Korea. Results - This paper focused on the unbalance of the corporate financial structure (capital, receivable) and the assessment of sustainability development, taking into account the liquidity, solvency, financial sustainability and economic viability of the enterprise. Conclusions - this paper also consider the theoretical means of regulating receivables. The material is presented in the pedagogical context and appendix of the conclusion.

• 한국항만경제학회지
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• 제40권1호
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• pp.133-149
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• 2024

선행연구에 따르면 선박금융 가산금리 결정의 핵심요소는 리스크 프리미엄이라는 것을 알 수 있다. 이에 본 연구에서는 다중회귀모형을 적용하여 선박금융 리스크 프리미엄 결정 요인에 대한 분석을 수행하였다. 리스크 프리미엄을 종속변수로 두고, 대출특성, 차주의 신용도, 거시경제 상황 등 3개 요인 총 10개의 독립변수를 선정하였다. 2014부터 2022년까지 A은행이 지원한 82개 선박금융 사례를 분석 표본으로 하였다. 전체 표본을 대상으로 한 실증분석 결과, 유동비율, 부채비율, 업력, 운임지수 등 실선주 신용도와 경제상황 요인이 선박금융 리스크 프리미엄에 영향을 미치는 것으로 나타났다. 컨테이너선의 경우, 리스크 프리미엄에 영향을 미치는 변수로 유동비율, 현금보유비율, 부채비율, 영업이익률 등 실선주 신용도 요인이 유의미한 것으로 나타났다. 벌크선은 실선주 신용도 요인인 부채비율과 업력이 리스크 프리미엄에 어느 정도 영향을 미치는 것으로 나타났다. 가스선의 경우, 시장상황 요인이 리스크 프리미엄에 영향을 미치는 것으로 분석되었다. 하지만, 탱커선을 대상으로 한 모형에서는 모든 요인이 선박금융 리스크 프리미엄에 영향을 미치지 못하는 것으로 나타나고 있다. 전체적으로 리스크 프리미엄을 결정하는 요소 중 차주인 해운기업의 재무지표가 가장 유의미하게 작용하고 있는 것을 알 수 있다.

• International Journal of Human Ecology
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• 제15권2호
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• pp.59-67
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• 2014

Consumer information influences purchasing behavior; however, less is known about the relationship in the credit market. Credit markets offer consumers a complex array of different products when choosing mortgages. The current study examines whether borrowers search for the very best terms when making major decisions about borrowing money or obtaining credit as well as explores the relation between consumer information seeking and the cost of credit. This study demonstrates the existence of price dispersion between those who made an extensive information seeking and those who did not. When controlling for the proxies of creditworthiness and demographics of the respondents, it is found that those who made a great deal of information seeking tend to have lower mortgage rates than those who made almost no information seeking. This study offers financial educators and policy makers suggestions on how to help consumers make better financial decisions.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2003년도 학술대회논문집
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• pp.349-354
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• 2003

Airport facility is infrastructure that become external creditworthiness and linear measure of country competitive power. Among them, receive and supply of electric power facility of airport is very important in peculiarity, trustability, safety side of airport. In this parer, sorted domestic airline as 4 classes by code to accomplish standardization for receive and supply of electric power facility of airport. And established justice and coverage about receive and supply of electric power facility using without any standard present and analyze problem for receive and supply of electric power facility of existing airport and presents standard. Finally, present standard single-line diagram by airport grade and system grade standard of receive and supply of electric power facility of airport.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.624-626
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• 2023

Credit scoring is a technique used by financial institutions to assess the creditworthiness of potential borrowers. This involves evaluating a borrower's credit history to predict the likelihood of defaulting on a loan. This paper presents an ensemble of two Transformer based models within a framework for discriminating the default risk of loan applications in the field of credit scoring. The first model is FinBERT, a pretrained NLP model to analyze sentiment of financial text. The second model is FT-Transformer, a simple adaptation of the Transformer architecture for the tabular domain. Both models are trained on the same underlying data set, with the only difference being the representation of the data. This multi-modal approach allows us to leverage the unique capabilities of each model and potentially uncover insights that may not be apparent when using a single model alone. We compare our model with two famous ensemble-based models, Random Forest and Extreme Gradient Boosting.

• 무역상무연구
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• 제69권
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• pp.239-259
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• 2016

An increasing number of transactions in the bilateral trade between Korea and China rely on collection and remittance, resulting in an increase in exporters' demand for trade financing. Therefore, there is a need to vitalize forfaiting transactions using drafts or promissory notes, which are based on the collections. In the forfaiting transactions, exporters transfer a payment claim to forfaiters on a non-recourse basis through a without recourse endorsement. However, forfaiters do not know importers' creditworthiness and ability to repay drafts or promissory notes; thus, they need a bank aval as a means of credit support. In forfaiting using aval, the drafts or promissory notes are transferred internationally. However, there is no internationally unified law that regulates drafts and promissory notes, and the governing laws related to such drafts and promissory notes do not accept the "principle of party autonomy." Therefore, there is no other choice but to apply the laws of a certain country, in the event of any dispute relating to such drafts or promissory notes. This paper examined forfaiting using aval from the comparative law perspective, focusing on the "Law of China on Negotiable Instruments." The results of this study may to provide businesses involved in international trade with practical guidance and assistance when using forfaiting with aval, especially in trade with China.

• 한국정보시스템학회지:정보시스템연구
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• 제14권1호
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• pp.41-65
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• 2005

The credit ration is a significant area of financial management which is of major interest to practitioners, financial and credit analysts. The components of credit rating are identified decision models are developed to assess credit rating an the corresponding creditworthiness of firms an accurately ad possble. Although many early studies demonstrate a priori which of these techniques will be most effective to solve a specific classification problem. Recently, a number of studies have demonstrate that a hybrid model integration artificial intelligence approaches with other feature selection algorthms can be alternative methodologies for business classification problems. In this article, we propose a hybrid approach using rough set theory as an alternative methodology to select appropriate attributes for case-based reasoning. This model uses rough specific interest lies in lthe stable combining of both rough set theory to extract knowledge that can guide dffective retrevals of useful cases. Our specific interest lies in the stable combining of both rough set theory and case-based reasoning in the problem of corporate credit rating. In addition, we summarize backgrounds of applying integrated model in the field of corporate credit rating with a brief description of various credit rating methodologies.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1241-1248
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• 2021

This study employs data from CRSP/Compustat files for the period from 2003 to 2017 and applies a panel data analysis. The results of this study show a positive relationship between trade credit and the firm's market value, however, the results show a negative relationship if we test the impact of financial credit on the firm's market value. The results have direct policy implications for investors, the firm's management, and financial strategy. An implication of our study is that using trade credit as a source of financing may give a positive signal of the firm's creditworthiness and increase the firm's market value. Also, the results of our study indicate that the benefits of using trade credit may outperform the cost of using it as a source of finance. Prior studies examine the impact of financial leverage on the firm's value, however, this study contributes to the existing studies that examine the factors that affect the firm's market value by examining the impact of using trade credit finance on the firm's market value. The main limitation of this study is that the results are based on listed firms, using data from unlisted firms is not available.

• The Journal of Asian Finance, Economics and Business
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• 제9권8호
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• pp.89-97
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• 2022

The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.