• International Commerce and Information Review
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• v.14 no.4
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• pp.339-360
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• 2012

We have more risks in international trade market than in the domestic business market because economic activities are going on with business transactions in different countries. K-sure's Refund Guarantee System is the most important system for Korean Small and Middle Shipbuilding Industries' business, but Korean exporters of Shipbuilding Industries are more interested in export financing through K-sure rather than its financial supporting services. The export insurance becomes more important service for international trade business and it its count as the only one indirect way of supporting export business because export insurance is accepted internationally under the WTO system. Also, it is the only measure that can cover emergency risk, credit risk, exchange risk which cannot be covered by private insurance. As the major risk manager for Korean exporters, the K-sure needs to provide an integrated risk management service for customers. Korean exporters can take more challenges in ever competitive international trade market and we can witness promotion of export in the future which is essential to Korea's economic growth.

• 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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.405-416
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• 2022

Current AI technology is improving the quality of life by using machine learning based on data. When using machine learning, transmitting distributed data and collecting it in one place goes through a de-identification process because there is a risk of privacy infringement. De-identification data causes information damage and omission, which degrades the performance of the machine learning process and complicates the preprocessing process. Accordingly, Google announced joint learning in 2016, a method of de-identifying data and learning without the process of collecting data into one server. This paper analyzed the effectiveness by comparing the difference between the learning performance of data that went through the de-identification process of K anonymity and differential privacy reproduction data using actual financial data. As a result of the experiment, the accuracy of original data learning was 79% for k=2, 76% for k=5, 52% for k=7, 50% for 𝜖=1, and 82% for 𝜖=0.1, and 86% for Federated learning.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.59-77
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• 2012

This study focuses on predicting which firms will increase capital by issuing new stocks in the near future. Many stakeholders, including banks, credit rating agencies and investors, performs a variety of analyses for firms' growth, profitability, stability, activity, productivity, etc., and regularly report the firms' financial analysis indices. In the paper, we develop predictive models for rights issues using these financial analysis indices and data mining techniques. This study approaches to building the predictive models from the perspective of two different analyses. The first is the analysis period. We divide the analysis period into before and after the IMF financial crisis, and examine whether there is the difference between the two periods. The second is the prediction time. In order to predict when firms increase capital by issuing new stocks, the prediction time is categorized as one year, two years and three years later. Therefore Total six prediction models are developed and analyzed. In this paper, we employ the decision tree technique to build the prediction models for rights issues. The decision tree is the most widely used prediction method which builds decision trees to label or categorize cases into a set of known classes. In contrast to neural networks, logistic regression and SVM, decision tree techniques are well suited for high-dimensional applications and have strong explanation capabilities. There are well-known decision tree induction algorithms such as CHAID, CART, QUEST, C5.0, etc. Among them, we use C5.0 algorithm which is the most recently developed algorithm and yields performance better than other algorithms. We obtained data for the rights issue and financial analysis from TS2000 of Korea Listed Companies Association. A record of financial analysis data is consisted of 89 variables which include 9 growth indices, 30 profitability indices, 23 stability indices, 6 activity indices and 8 productivity indices. For the model building and test, we used 10,925 financial analysis data of total 658 listed firms. PASW Modeler 13 was used to build C5.0 decision trees for the six prediction models. Total 84 variables among financial analysis data are selected as the input variables of each model, and the rights issue status (issued or not issued) is defined as the output variable. To develop prediction models using C5.0 node (Node Options: Output type = Rule set, Use boosting = false, Cross-validate = false, Mode = Simple, Favor = Generality), we used 60% of data for model building and 40% of data for model test. The results of experimental analysis show that the prediction accuracies of data after the IMF financial crisis (59.04% to 60.43%) are about 10 percent higher than ones before IMF financial crisis (68.78% to 71.41%). These results indicate that since the IMF financial crisis, the reliability of financial analysis indices has increased and the firm intention of rights issue has been more obvious. The experiment results also show that the stability-related indices have a major impact on conducting rights issue in the case of short-term prediction. On the other hand, the long-term prediction of conducting rights issue is affected by financial analysis indices on profitability, stability, activity and productivity. All the prediction models include the industry code as one of significant variables. This means that companies in different types of industries show their different types of patterns for rights issue. We conclude that it is desirable for stakeholders to take into account stability-related indices and more various financial analysis indices for short-term prediction and long-term prediction, respectively. The current study has several limitations. First, we need to compare the differences in accuracy by using different data mining techniques such as neural networks, logistic regression and SVM. Second, we are required to develop and to evaluate new prediction models including variables which research in the theory of capital structure has mentioned about the relevance to rights issue.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.60
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• pp.141-175
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• 2013

The purpose of this study aims to the implications by the introduction of TSU/BPO system as a instrument of trade settlement. Jointly with financial messaging provider SWIFT, the ICC Banking Commission has developed the URBPO to take into account the legitimate expectations of all relevant sectors. Once the goods have been shipped, the seller's bank uploads the shipping and logistics data to the TSU to be checked against the baseline. URBPO is the first ever set of standards in supply chain finance that governs BPO transactions worldwide. BPO enables banks to reduce the risks associated with international trade to the benefit of both buyers and sellers. A BPO is an irrevocable undertaking given by an Obliger Bank to a Recipient Bank to pay a specified amount under the condition of a successful electronic matching of data or acceptance of mismatches. The BPO should be viewed as an exercise in collaboration between trading partners and their banks. Drawings upon global standards and incorporating the benefits offered by letters of credit, the new instrument has the potential to benefit all parties in a trade transaction-and bring trade settlement into the 21st century.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.895-907
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• 2020

Information transparency ensures that market players all have the opportunity to access the same information to come up with their assessment of the banks' financial situation, performance and risks to reach effective investment decisions. This research is conducted to investigate the levels of impact of determinants on information transparency by examining the case studies of Vietnamese commercial banks. This study combines both qualitative and quantitative research methods, based on interviews of 32 specialists in banking, accounting and auditing fields, which were conducted to explore determinants influencing information transparency and to develop measurement scales. Then, a survey of 160 managers of commercial banks, audit firms, and accounting managers of firms who frequently had transactions with banks was carried out to investigate the statistical significance of these determinants. The results show that, out of seven determinants that have significant impacts on the banks' information transparency, commitment from banks' senior management regarding transparency in information disclosure has the highest impact, followed by state governance, auditing, information infrastructure, credit rating agencies, personnel and bank performance. Accordingly, we provide some recommendations for improving information transparency in the Vietnamese banking industry context as a case study and in emerging countries context in general.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.195-210
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• 2020

This study describes the structure of the capital markets for small- and medium-sized enterprises (SMEs) and startup companies in Korea, which is an emerging market that has experienced drastic changes. The overall capital market can be divided into private and public capital markets. In the private capital market, most of the demand for capital comes from non-listed private firms, including startups and SMEs. In the case of SMEs and startups, the KOSDAQ, the Korea New Exchange (KONEX), and primary collateralized bond obligations (P-CBOs) are part of the public capital market. SMEs and startups are generally incapable of raising sufficient capital owing to their low credit ratings, and they largely have limited access to primary markets to issue shares and borrow money. The Korean government has developed a systematic financial aid program to provide funds to these companies. The fund for SMEs has significantly contributed to the development of the venture capital market. Many Korean banks provide substantial lending to SMEs, but this lending is available only because of the Korean government's loan recovery guarantee. Furthermore, SMEs can issue corporate debt in the form of primary collateralized bond obligations through government guarantees, but such debt issuances have placed increasing pressure on public guarantee institutions.

• Korean System Dynamics Review
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• v.17 no.1
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• pp.77-105
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• 2016

Whenever Information leak case had been happened, even though IT Infra systems were reinforced, those cases of kind were not decreased. It meant that the causes are not only the fault of IT, but also other things. So that the information leak cases should have been studied by the interdisciplinary way. There was a point of view for the Business Ethics which needed to be studied in the interdisciplinary way. Financial Information Leak Case of three representative Card Companies in Korea which is happened in 2014 was a case which was composed by many problems. These were bad circumstances, half-educated, lower salary, and the most of all, the C-Levels' ignorance of the law. By studying the CLD: Causal Loop Diagram of Business Ethics and those mentioned factors, few meanings were discovered. Firstly, this case was not a accident, but a predeterminate issue at all, because of the structural unethical corruption. Secondly, main reason of this case was not only criminals who leaked information, but also managers, especially CEO who didn't obey the law, forced that to employees. Thirdly, although those companies had moral guide and did CSR activities, it was not help to protect this information leak case. This study shows that the important thing was not the action for showing, but effective action to management for sustainability.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.26
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• pp.203-223
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• 2005

Many international transactions involve the use of security devices, commonly referred to as "guarantees", "bonds", or "standby credits", designed to protect one of the parties from a breach by its counter-party. These security mechanisms may be provided by banks, insurance companies, specialized surety companies, or other financial service firms. Although some legal systems distinguish between "guarantees", "bonds", and "indemnities", these terms are often used as synonyms in the everyday language of international traders. It may therefore be necessary to examine the particular characteristics and nature of the guarantee obligation in order to properly classify the guarantee. Two main categories of guarantee are demand and suretyship. Under a demand guarantee, the guarantor must pay on first demand by the beneficiary. The beneficiary only has to demand payment under the guarantee - there is no need to prove that the principal has actually defaulted on a contractual obligation. Under a suretyship or conditional guarantee, the obligation of the guarantor is triggered by the actual default or contractual breach of the principal, as evidenced in a document such as a court judgement or arbitral award against the principal. Guarantees have been widely used in the international business transactions. Main uses of guarantees are as follows : Performance Bonds/Guarantees, Bid(or Tender) Bonds/Guarantees, Advance Payment or Repayment Bonds/Guarantees, Retention Bonds/Guarantees, Maintenance(or Warranty) Bonds/Guarantees etc.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.2
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• pp.411-420
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• 1999

The topic of electronic commerce is a hot issue in computer technology. There are many kinds of risks associated with electronic commerce which performs financial transactions by exchanging electronic information over public networks. Therefore, security factors such as confidentiality, integrity, authentication and non-repudiation should be required to construct secure electronic commerce systems. In this paper, the credit card-based payment protocol applying dual signature is presented. It provides payment information to the bank a cardholder pays to, but conceals ordering information. It also offers ordering information to a merchant, but hides payment information including the card number. Thus, cardholder's private information can be protected. In order to accomplish this, dual signature is performed employing both symmetric method utilizing cardholder's secret number as an encryption key and asymmetric method.