• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.5
• /
• pp.571-580
• /
• 2017

Since the KONEX market was launched in 2013, many studies of the market have focused on policy reports and management of the market. In this study, we analyzed the impact of training and employee benefits expenses on business performance in the KONEX market in comparison with firms in the KOSDAQ 100. The expenses associated with employee training and benefits can have an overlapping power when explaining the business performance. To determine the net effect of each variable on business performance, we used regression by successive orthogonalization. The training and the employee benefits expenses in both markets showed a positive effect on business performance. However, in the KONEX market, we found that the lag effect of training expense to business performance was relatively smaller than in the KOSDAQ 100. This difference may be related to problems such as short continuous service and frequent turnover of SMEs in Korea, and implies that overall human resource management should be implemented to increase the efficiency of training expenses.

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

• The Korean Journal of Financial Management
• /
• v.17 no.1
• /
• pp.111-136
• /
• 2000

본고는 기업 내부의 경영자와 일단 투자자들 사이에 정보 비대칭이 존재하는 기업 공개 시장에서 신주의 저평가 현상을 완화하는 제3자의 보증 역할에 관한 연구이다. 일찍이 Megginson and Weiss(1991), Hamao, Packer and Ritter(1998) 등의 연구에 의하면 미국, 일본 등의 경우 벤처 캐피탈의 지원을 받는 벤처 기업이 그렇지 않은 경우에 비해 신주 저평가 현상이 비교적 적게 나타나 벤처 캐피탈이 일정한 명성 효과를 발휘하는 것으로 보고되고 있다. 그러나 남명수(1993), 이기환, 임병균, 최해술(1998) 등의 실증 분석에 의하면 국내 벤처 기업의 경우에는 그렇지 않은 것으로 보고되고 있어 벤처 캐피탈의 보증 역할이 미미한 것으로 나타난 바 있으나 이들의 연구는 KSE 시장의 신규 벤처 기업들을 대상으로 하였기 때문에 최근 KOSDAQ 시장에서의 벤처 기업의 신규 등록이 활발해지면서 벤처 캐피탈의 보증 역할에 관한 연구는 재검토를 요구하고 있는 실정이다. 본 연구는 96년 7월 이후 KOSDAQ 시장에 등록되어 있는 기업 중 벤처 캐피탈의 지원을 받은 34개의 벤처 기업과 그렇지 않은 34개의 벤처 기업을 대응 추출하여 구성한 표본에 대해 신주의 등록 초기의 시장초과 수익률을 분석하여 신주 저평가 현상을 살펴보고 각 기업의 수익률과 공모 잔량에 대한 회귀분석을 통하여 벤처 캐피탈의 보증역할을 규명하였다. 본 연구 결과는 현재 KOSDAQ 시장에서 벤처 캐피탈의 보증 역할은 거의 나타나지 않았으며 상장 직전의 세후이익과 전체적인 시장 상황만이 수익률과 공모 잔량에 영향을 주는 것으로 나타났다. 이러한 연구 결과는 기존의 KSE 시장에서의 벤처 캐피탈의 보증 역할에 대한 연구 결과와 유사한 것으로 미국 등 선진 시장의 연구 결과와는 달리 국내 벤처 캐피탈의 KOSDAQ 시장에서의 미미한 역할을 입증하는 실증 결과라고 할 수 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.1
• /
• pp.229-249
• /
• 2022

This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.

• Asia-Pacific Journal of Business
• /
• v.13 no.2
• /
• pp.107-122
• /
• 2022

Purpose - This study aims to develop machine learning models to predict administrative issue designation in KOSDAQ Market using financial data. Design/methodology/approach - Employing four classification techniques including logistic regression, support vector machine, random forest, and gradient boosting to a matched sample of five hundred and thirty-six firms over an eight-year period, the authors develop prediction models and explore the practicality of the models. Findings - The resulting four binary selection models reveal overall satisfactory classification performance in terms of various measures including AUC (area under the receiver operating characteristic curve), accuracy, F1-score, and top quartile lift, while the ensemble models (random forest and gradienct boosting) outperform the others in terms of most measures. Research implications or Originality - Although the assessment of administrative issue potential of firms is critical information to investors and financial institutions, detailed empirical investigation has lagged behind. The current research fills this gap in the literature by proposing parsimonious prediction models based on a few financial variables and validating the applicability of the models.

• The Journal of the Korea Contents Association
• /
• v.18 no.3
• /
• pp.557-567
• /
• 2018

This paper studies the relationship between general investors' allotment ratio and underpricing for the companies that were newly listed in KOSDAQ market after the 20% rule, from March 2004 to December 2013, by empirical analysis. It is shown that the excess allotment ratio over 20% has a strong explanatory power for underpricing ratio under the 1% significance level. Furthermore, the general investors' allotment ratio is a significant explanatory variable of underpricing ratio under the 5% significance level. There are many hypotheses about underpricing, however, if underpricing is evident with high allocation ratio for general investors, it can be regarded as a signal of company's confidence in earnings after listing. In conclusion, this study reveals that general investors' allotment ratio can be used as a major explanatory variable that has a significant effect on the degree of undervaluation in the IPO market.

• Journal of Digital Convergence
• /
• v.15 no.2
• /
• pp.135-144
• /
• 2017

This study is to identify the growth rate and volatility of logistics related firms in the stock market. To do this, we used monthly data for 197 years from June 2000 to October 2016 by selecting KOSPI and Transport & Storage(T&S), KOSDAQ, Transportation(TRANS) index. The purpose of this study is to compare the T&S and TRANS stock index returns with the KOSPI and KOSDAQ index. And we are to judge whether the development potential of the logistics industry and the value of the investment of related companies in the future is high. For this purpose, we will analyze the basic statistics, correlation and growth rate of each index, and compare T&S and TRANS with market returns. Analysis result, for the past 197 months logistics related T&S and TRANS have been higher than market returns. The correlation was highly related to TRANS and T & S in KOSPI, but it was not related to KOSDAQ. TRANS represents high risk and high return, while KOSDAQ represents high risk and low return market. TRANS is considered to be an efficient investment. We expect the future development of logistics related industries and T & S and TRANS to show a high rate of increase compared to the market returns.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.1 s.45
• /
• pp.219-229
• /
• 2007

The results of the research in M&A firms in the KOSDAQ market are as follows. First, the effect of the M&A disclosure at the time of disclosure was that the positive (+) cumulative abnormal return (CAR) can be interpreted as an increase in the value of the firm; however, in the long run, firms which used the KOSDAQ index and the control firm, which did not use the index were found to have conflicting results. Second, the findings show that the rise in value of general firms resulting from a M&A were higher that those of venture firms. Third, in testing the performance extrapolation hypothesis, it was shown that the performance of "value" firms (firms with a high B/M ratio but poor performance in the past) was better after a M&A than those of the "glamour" firms and that the performance extrapolation hypothesis was substantiated. Fourth, it can be construed that a size effect in a merger exists. The CAR of the small firms surpasses those of large firms. Fifth, in verifying operating performance, most variables showed a positive (+) value at the time of M&A but showed a negative (-) value after a M&A. These results show that because on the Korean KOSDAQ market, M&A are approached from a financial rather than an economic aspect, it can be inferred that it lowers the firms value.

• Journal of Korea Trade
• /
• v.23 no.5
• /
• pp.1-26
• /
• 2019

Purpose - We examine the disclosures on foreign divestment from China by 77 Korean firms between 2007 and 2016 to identify the effects (and their determinants) on parent firm value. Design/methodology - We analyze how divestment affects firm value by examining the disclosure of divestment from China by Korean firms. Then, we examine the determinants of these disclosure effects using cross-sectional regression analyses. Findings - We find negative effects on parent firm value in the short and medium term, and both the KOSPI and KOSDAQ stock markets show negative correlations between foreign divestment and firm value. The parent firm's financial condition and profitability and the reason for divesting are statistically significant determinants. Practical implications - Most Korean firms in China belong to the manufacturing industry. As a result, divestment signifies a loss of important manufacturing bases and assets. Originality/value - We analyze foreign direct divestment, which has not been studied in detail previously owing to a lack of data. In addition, this research is the first to compare the disclosure effects in the KOSPI market with those in the KOSDAQ market for the same period.

• Asia-Pacific Journal of Business
• /
• v.13 no.1
• /
• pp.75-88
• /
• 2022

Purpose - This study investigates the effects of going public on the innovation of KOSDAQ firms. Design/methodology/approach - This study uses firms that go public from 2007 to 2011 in Korea. We compare a firm's innovation performance over five years before and after IPO. Findings - We find that firm's innovation declines after an IPO. After going public, both the quality and the quantity of patents are decreased. However, this decrease is alleviated in high-tech industries or concentrated industries where innovation is expected to be more valuable. When comparing firms with venture capital(VC), which are more likely to window dress, to firms without VC, VC backing has no meaningful impact on changes of innovation. Research implications or Originality - As the KOSDAQ market was established to provide small and medium enterprises(SMEs) with funds for firm's investments and growth, it is necessary to verify whether the capital raised at the IPO encourages innovation. Thus, our study contributes to the literature by examining empirically whether an IPO boosts a firm's innovation.