• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.829-844
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• 2013

This study performed comprehensive tests on the four hypotheses on the capital structures for the firms listed in the KOSPI during the period from 2006 to 2011. It may be of concern to find any financial profiles on firms' leverage across the book- and market-value bases since there was relatively little attention drawn to any financial changing profile of the leverage surrounding the period of the pre-and the post-global financial crises. The findings of this study may also be compared with those of the previous related literature, by which it may be expected to enhance the robustness and consistency of the results across the different classifications on capital markets. It was found that three explanatory variables such as PFT, SIZE, and RISK, were found to be the statistically significant attributes on leverage during the tested period. Moreover, the outcome by the Fisher Exact test showed that a firm belonging to each corresponding industry may possess its reversion tendency towards the industry mean and median leverage ratios.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.76-84
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• 2003

The bankruptcy possibility of construction firms have been higher by the environment of current construction industry. Thus, converting management environment for growth into that for value or profit is required. Nowadays, funds of construction firms is almost provided by financial institutions. As the firms' size grow, they have a form of fund provision through the securities market; however, fair distribution for returns is not practiced by opening company. Especially, construction firms lost trust of Investor by lack of awareness to firm clearness, and then a vicious cycle of no effectiveness in fund provision through securities market is continued again. On this study correlation between stock quotations and primary financial factors of firms in order to grasp actual management condition in construction firms was analyzed. By this, the correlation between stock quotations and the result of firm management was provided. Also, necessity of firm's capital provision was explained, thus ways to ensure firm clearness was searched.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.163-175
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• 2016

The purpose of this study is to provide an efficient internal control system formation incentives for company and to confirm empirically usefulness of the internal accounting control system for financial institutions by analyzing whether the internal control vulnerabilities of companies related significantly to the classification and assessment of soundness of financial institutions. Empirical analysis covered KOSPI, KOSDAQ listed companies and unlisted companies with more than 100 billion won of assets which have trading performance with "K" financial institution from 2008 until 2013. Whereas non-internal control vulnerability reporting companies by the internal control of financial reporting received average credit rating of BBB on average, reporting companies received CCC rating. And statistically significantly, non-reporting companies are classified as "normal" and reporting companies are classified as "precautionary loan" when it comes to asset quality classification rating. Therefore, reported information of internal control vulnerability reduced the credibility of the financial data, which causes low credit ratings for companies and suggests financial institutions save additional allowance for asset insolvency prevention and require high interest rates. It is a major contribution of this study that vulnerability reporting of internal control in accordance with the internal control of financial reporting can be used as information significant for the evaluation of financial institutions on corporate soundness.

• Asia Marketing Journal
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• v.11 no.3
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• pp.57-89
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• 2009

This study aims to shed light on the new insights on the cross-buying intentions in the banking industry and suggests an integrated model of the cross-buying intentions. Recently with globalization in the financial sector, financial companies are trying to retain current customers and attract new one by developing various financial products. In South Korea, this trend is especially apparent in the banking sector. Cross-selling of various financial products such as beneficiary certificates, bankasurance and etc. is becoming more important in retaining competitive advantage in Korean banking industry. However, there are few studies which are trying to find out the factors affecting cross-buying intentions and explain their interrelationships comprehensively. Based upon the previous studies, this study finds out the factors affecting cross-buying intentions and classifies them into two dimensions: affective and instrumental. Affective dimension includes trust, satisfaction and commitment. Instrumental dimension includes the factors such as geological convenience, one-stop convenience, professionality, and direct mail. The results from this study are as follow. All the factors in the affective dimension(trust, satisfaction and commitment) have significant impacts on cross-buying intentions. Also all the factors in the instrumental dimension(geological convenience, one-stop convenience, professionality, and DM) significantly affect cross-buying intentions. Some implications of this dissertation are as follow; First, this study identifies the antecedents of cross-buying intentions comprehensively. Second, this paper provides practical guidelines for the banks attempting to intensify cross-selling activities. Third, banks need to develop sophisticated plans which can consolidate the emotional ties with customers through positive service experiences as the affective dimension is important in influencing cross-buying intentions. Finally, regarding the instrumental dimesnion, the implications are: 1) Developing various new financial products in addition to traditional product such as deposits and installment savings for improving customer convenience, 2) Enhancing the professionality of employees by strengthening education programs on numbers of financial products, 3) Increasing cross-buying intentions through the DM.

• Journal of Environmental Policy
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• v.8 no.4
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• pp.95-124
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• 2009

This study aims to introduce greenhouse gas emission trading in Korea as a highly cost-effective mechanism for controlling emissions. The Basic Act on Low-Carbon Green Growth will cover methods of emissions allocation, national inventory, and trading systems (i.e. emissions trading platforms, national registry,and clearing and settlement platforms). The Korean emission scheme will be based on the Korean Climate Change Act proposed by the National Assembly and Government with a cap-and-trade scheme. The national allowances will be allocated by the hybrid system. To establish the national inventory, TRADEMARKS (Telemetering System) and emissions factors are effective for greenhouse gas emissions measurement. It will likewise be effective for the national registry to be implemented via a Korean Integrated Registry, the emissions trading platform via the KRX (Korean Exchange), and the clearing and settlement platform via the KSD (Korean Securities Depository). In other words, the KRX will manage product development and marketing for Korean Carbon Financial Instruments (including commodities, futures, and options contracts) listed and admitted to trading on the KRX. All emissions trades will be standardized and cleared by the KSD.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.129-138
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• 2014

After global economic crisis, China has become one of the two pillars in the global economies and the country contributing to the Korean economy. Nevertheless, the research on Chinese financial market, particularly capital market, is rare to date. This study examined the growth enterprise market that emergedat the Shenzhen stock exchange and made comparative analysis on before and after listing for the Chinese small and medium sized firms and venture firms. The listing requirements at the Chinese growth enterprise market for the technologically innovative venture firms and fast-growing small and medium sized firms with financing purpose were more alleviated than the main board of Shenzhen stock exchange. Moreover, the listing procedures are simplified as well. Accordingly, many Chinese enterprises tend to list and the competition for listing is also intense. In particular, with the 36 initially listed firms at growth enterprise market as the research target, the investigation for the business performance before and after listing reveals that the three indexes including return on common equity, debt ratio and operating profit growth rate dropped dramatically for most all the firms. That is, the profitability and growth for the venture firms and small and medium sized firms listed on the Chinese growth enterprise market decreased rapidly after going public, only the stability improved due to the great financing. Taking a step forward, this phenomenon may result from the exaggerated reporting for the business performance before listing with the purpose of going public by the venture firms and small and medium sized firms. Thus, Chinese Securities Regulatory Commission should strengthen the accounting evaluation standard and regulation for the listing firms before going public. In addition, strict sanctions should be imposed on the firms with fraudulent accounting to establish healthy capital market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3053-3061
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• 2011

This study examines the relationship between R&D(research & development) investment and market value among KOSDAQ firms in the Korea Stock Exchange. We investigate the effect of R&D investment on firm value in both total sample and sub-samples classified by firm characteristics based on types of firms. And we study the impact of a major economic disruption as the global financial crisis triggered by sub-prime mortgage problem in the US on R&D investment relative to the firm value. We find that R&D investment positively affects firm value and the squared term of R&D investment is found to be significant and negatively correlated with market value. This suggests the presence of nonlinear relationship like a reverse U-shape between R&D investment and market value in total sample and most of sub-samples. And we find firm characteristics and global financial crisis partially affect the contribution of R&D investment to market value in some of sub-samples.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.11-20
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• 2024

This study presents TabNet, a novel deep learning method, to enhance corporate credit rating accuracy amidst growing financial market uncertainties due to technological advancements. By analyzing data from major Korean stock markets, the research constructs a credit rating prediction model using TabNet. Comparing it with traditional machine learning, TabNet proves superior, achieving a Precision of 0.884 and an F1 score of 0.895. It notably reduces misclassification of high-risk companies as low-risk, emphasizing its potential as a vital tool for financial institutions in credit risk management and decision-making.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.6
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• pp.492-500
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• 2013

The One-Time Password(OTP) Generator is used as a multi-factor authentication method to ensure secure transaction during e-Financial transaction in the bank and securities company. The OTP based e-Financial Transaction Verification Protocol ensures secure e-financial transaction through confirming the user's identity using OTP authentication information and counters not only Man-in-the-Browser(MITB) attacks but also memory hacking attacks. However, it is possible to generate correct OTPs due to potential of stealing sensitive information of the OTP generator through intelligent phishing, pharming, social engineering attacks. Therefore, it needs another scheme to prevent from above threats, and this paper proposes advanced scheme using Physical Unclonable Functions(PUFs) to solve these problems. First, it is impossible to generate the same OTP values because of the hysically unclonable features of PUFs. In addition, it is impossible to clone OTP generator with hardware techniques. Consequently, the proposed protocol provides stronger and more robust authentication protocol than existing one by adding PUFs in the OTP generator.

• The Journal of Bigdata
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• v.5 no.2
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• pp.215-229
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• 2020

The interest in machine learning is growing in all industries, but it is difficult to apply it to real-world tasks because of inexplicability. This paper introduces a case of developing a financial customer churn prediction model for a securities company, and introduces the research results on an attempt to develop a machine learning model that can be explained using the SHAP Value methodology and derivation of interpretability. In this study, a total of six customer churn models are compared and analyzed, and the cause of customer churn is inferred through the classification and data analysis of SHAP Value and the type of customer asset change. Based on the results of this study, it would be possible to use it as a basis for comprehensive judgment, such as using the Value of the deviation prediction result that can infer the cause of the marketing manager's actual customer marketing in the future and establishing a target marketing strategy for each customer.