• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.8
• /
• pp.147-156
• /
• 2016

This study analyzed the impact of changes in the construction business on construction company insolvency according to their size using the vector error correction model. First, this study applied EDF (Expected Default Frequency), which was calculated by KMV (Kealhofer, McQuown and Vasicek) model, as a variable to indicate the insolvency of construction companies. This study set 30 construction companies listed to KOSPI/KOSDAQ for estimating the EDF by size and construction companies were divided into two groups according to their size. To examine the construction business cycles, the amount of construction orders according to the type-residential, non-residential, and civil work- was used as a variable. The serial data was retrieved from TS2000 established by the Korea Listed Companies Association (KLCA), Statistics Korea. The analysis period was between the second quarter of 2001 and fourth quarter of 2015. As a result of calculating the EDF of construction companies by size, as it is generally known, the large-sized construction companies showed lower levels of insolvency than relatively smaller-sized construction companies. On the other hand, impulse response analysis based on VECM confirmed that the level of insolvency of large-scaled companies is more sensitive to business fluctuations than relatively smaller-sized construction companies, particularly changes in the residential construction market. Hence it is a major factor affecting the changes in insolvency of large-sized construction companies.

• Journal of Navigation and Port Research
• /
• v.48 no.1
• /
• pp.55-61
• /
• 2024

Environmental, Social, and Governance (ESG) management may be one of the recent hot topics in corporate management. The purpose of this paper was to study the level of ESG activities of shipping companies. The shipping industry is known to have low transparency and low favorability (Yun, 2022). This study determined whether ESG activities of shipping companies known to the public or studied qualitatively were consistent with objective facts through quantitative analysis. Analysis was conducted on 8,009 firm-year KOSP I listed companies from 2010 to 2022 using ESG ratings evaluated and published by KCGS. As a result of the analysis, it was found that shipping companies had a lower level of ESG activities than non-shipping companies. Although many research studies have been done on companies' ESG activities, research on corporate social responsibility activities and ESG activities of domestic shipping companies is limited. This paper is significant in that it is the first study to quantitatively analyze ESG management status of domestic shipping companies. Shipping companies should make efforts to improve their images, improve their business performances, and increase corporate sustainability by taking the lead in proactive ESG activities rather than performing passive ESG activities due to external regulations such as IMO 2020 and IMO 2050.

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

• Journal of Korean Society for Quality Management
• /
• v.38 no.1
• /
• pp.20-33
• /
• 2010

This study investigates the relationships of total quality management (TQM), organizational learning (OL) activities and business performance and examines the partial mediation effect of OL activities on business performance in Korean industrial manufacturing setting. Main target sample firms were all manufacturing companies listed in the Korea Composite Stock Price Index (KOSPI) and 206 firms participated. This study theoretically develops a conceptual model with 3 hypotheses regarding how TQM practices influence OL activities and how the OL activities partially mediate between the TQM practices and business performance. To examine these hypotheses, Structural Equation Modeling (SEM) was employed and an alternative model which includes a path between errors of leadership factor and OL construct was developed. The findings are TQM practices cannot directly influence business performance but indirectly impact business performance through OL activities. This study found that OL activities playa role as firms' critical competency to improve business performance.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.25
• /
• pp.123-163
• /
• 2005

The strategic alignment between internet marketing's strategic orientation and EC system's strategic orientation is an important concept in Electronic Commerce. This study measured internet marketing's strategic orientation, EC system's strategic orientation, strategic alignment, and strategic EC performance based on previous studies. Analysis of data gathered in mail survey of korea firms in KOSPI and KOSDAQ. The findings suggest that companies with high strategic alignment are better performing EC strategically, and internet marketing and EC system's strategic orientation are positive related to strategic alignment and performance of EC. This study supports that the level of the EC executive's participation in internet marketing planning influences strategic alignment of the EC plan with the internet marketing plan. Further, high levels of that alignment are associated with increased use of EC for strategic performance.

• The Korean Journal of Applied Statistics
• /
• v.33 no.4
• /
• pp.483-497
• /
• 2020

We used a deep neural network model for the prediction of the stock prices of Kia Motors and Shinsegae as listed in the KOSPI 100. We used an emotional variable derived from online news in addition to the various technical indicators most often used. The emotional variable used as a predictor variable was generated from the average of the emotional scores for companies in the industrial group after building an emotional dictionary specific to each industrial group classified in a social network analysis. The study was conducted with various combinations of predictors and confirmed that good predictive and profitable power could be expected when jointly using technical indicators and an emotional variable based on online news by industrial groups.

• The Journal of Society for e-Business Studies
• /
• v.20 no.2
• /
• pp.1-14
• /
• 2015

In this paper, we investigate the relationship between Internet search trends and stock market. Under the assumption that investors may use Internet search engine to obtain information for companies of their interests before taking actual investment actions, the relationship between the changes on Internet search volume and the fluctuation of trading volume as well as stock price of a company is analyzed with actual market data. A search trend investment strategy that reflects the changes on Internet search volume is applied to large enterprises' group and to small and medium enterprises' (SMEs) group, and the correlation between profit rate and trading volume is analyzed for each company group. Our search trend investment strategy has outperformed average stock market returns in both KOSPI and KOSDAQ markets during the seven-year study period (2007~2013). It is also shown that search trend investment strategy is more effective to SMEs than to large enterprises. The relationship between changes on Internet search volume and stock trading volume is stronger at SMEs than at large enterprises.

• The Journal of the Korea Contents Association
• /
• v.13 no.11
• /
• pp.48-58
• /
• 2013

The stock market is constantly changing and sometimes a slump or a sudden rising in stocks happens without any special reason. So the stock market is recognized as a complex system and it is hard to predict the change on stock prices. In this paper we consider the stock market to a network consisting of stocks. We analyzed the dynamics of the Korean stock market network and evaluated the changing of the correlation between shares consisting of the time series data of 137 companies belong to KOSPI200. Our analysis shows that the stock prices tend to plummet when the correlation between stocks is very high. We propose a method for recommending the stock portfolio based on the analysis of the stock market network. To show the effectiveness of the recommended portfolio, we conducted the simulated stock investment and compared the recommended portfolio with the efficient portfolio proposed Markowitz. According to the experiment results, the rate of return of the portfolio is about 10.6% which is about 3.7% and 5.6% higher than the average rate of return of the efficient portfolio and KOSPI200 respectively.

• The Journal of Industrial Distribution & Business
• /
• v.9 no.6
• /
• pp.49-55
• /
• 2018

Purpose - This paper examines the effect of related party transactions on crash firm-specific stock price crash risk. Ownership of a typical Korean conglomerate is concentrated in a single family. In those entities, management and board positions are often filled by family members. Therefore, a dominant shareholder can benefit from related party transactions. In Korea, firms have to report related party transactions in financial statement footnotes. However, those are not disclosed in detail. The more related party transactions are the greater information risk. Thus, companies with related party transactions are likely to experience stock price crashes. Research design, data, and methodology - 2,598 firm-year observations are used for the main analysis. Those samples are from TS2000 database from 2009 to 2013, and the database covers KOSPI-listed firms in Korea. The proxy for related party transactions (RTP) is calculated by dividing total transactions to the related-party by total sales. A dummy variable is used as a dependent variable (CRASH) in the regression model. Logistic regression is used to explain the relationship between related party transactions and crash risk. Then, the sample was separated into two groups; tunneling firms and propping firms. The relation between related party transactions and crash risk variances with features of the transaction were investigated. Results - Using a sample of KOSPI-listed firms in TS2000 database for the period of 2009-2013, I find that stock price crash risk increases as the trade volume of related-party transactions increases. Specifically, I find that the coefficient of RPT is significantly positive, supporting the prediction. In addition, this relationship is strong and robust in tunneling firms. Conclusions - The results report that firms with related party transactions are more likely to experience stock price crashes. The results mean that related party transactions increase the possibility of future stock price crashes by enlarging information asymmetry between controlling shareholders and minority shareholders. In case of tunneling, it could be seen that related party transactions are positively associated with stock crash risk. The result implies that the characteristic of the transaction influences crash risk. This study is related to a literature that investigates the effect of related party transactions on the stock market.

• Journal of Industrial Convergence
• /
• v.19 no.5
• /
• pp.13-19
• /
• 2021

In this study, the relationship between R&D investment and firm value was approached from ESG's G(governance) perspective to verify the moderating effect of the corporate governance and ownership structure. To this end, a panel analysis was conducted on a total of 2,825 samples of 405 manufacturing companies listed on the KOSPI market during 2013~2020. The main analysis results are as follows. First of all, we found that R&D investment has a negative impact on firm value, at least in the short term, and that these relationships are moderated by corporate governance and ownership structure. When professional CEO with high level of expertise in business and management does lead R&D investment, the negative impact of R&D investment on firm value is mitigated compared to owner-manager. Also, the stronger the power of outside blockholders, the more transparent the management and disclosure of information, alleviating the information asymmetry between internal and external shareholders, which mitigates the negative impact of R&D investment on firm value. The findings suggest that the factors of ESG may not only have a direct impact on firm value, but also have a moderating effect on firm value.