• Journal of Navigation and Port Research
• /
• v.40 no.6
• /
• pp.451-458
• /
• 2016

Since Modigliani and Miller developed their theory of capital structure in 1958, it has become one of the most debated issues in corporate management. This is because the capital structure decision necessarily affects financial risk and the firm's value. Throughout the research, one of the most concerning problems is determining what factors influence the firm's capital structure. Since Korean shipping firms have been suffering from a long term economic recession, an optimal capital structure has become increasingly critical to survive in the shipping industry. This paper studies panel data on 46 Korean shipping companies since 2000 to find the factors that affect capital structure. The results suggest that a negative relationship arises between firm size, tangible assets, profitability and non-debt tax shields against leverage. Otherwise, it proved that growth opportunity has a positive relationship with the firm's leverage. In the research model during a booming shipping economy, growth opportunity and non-debt tax shield are not associated with firm's capital structure.

• Journal of Navigation and Port Research
• /
• v.45 no.3
• /
• pp.173-180
• /
• 2021

Although accounting is one of the core fields of corporate management, few studies have reported accounting phenomena involving shipping companies. In addition, although financial reporting is very important to shipping companies that use several financial tools such as ship finance and financial lease, it is difficult to identify studies investigating shipping companies' financial reporting, especially their earnings management. The purpose of this study is to analyze accrual earnings management behavior of shipping companies. Companies with high debt ratios and net losses are known to have incentives for earnings management. Due to the nature of the industry, shipping companies have a high debt ratio and often report net losses. Accordingly, shipping companies are expected to engage in substantial earnings management. Based on the analysis of KOSP I companies listed on the Korea Exchange from 2001 to 2020, it was found that shipping companies are engaged in higher levels of earnings management than non-shipping companies. Discretionary accrual was used as a proxy variable for earnings management. Discretionary accrual was measured using the modified Jones model of Dechow et al. (1995) and the performance matched model of Kothari et al.(2005). In this study, significant results were derived by comparatively analyzing the earnings management practices, which is one of the major accounting behaviors of shipping and non-shipping companies. Stakeholders such as external auditors, investors, financial institutions, analysts, and government authorities need to be aware of the earnings management behavior of listed shipping companies during their external audit, financial analysis, and supervision. Finally, listed shipping companies must conduct stricter accounting based on accounting principles.

• Journal of Climate Change Research
• /
• v.4 no.2
• /
• pp.105-114
• /
• 2013

Recently, foreign direct investment of Korea has increased significantly. Foreign direct investment is motivated by various reasons and renewable energy investments in foreign countries can be performed by many causes. Korean companies can enjoy the export of products, related EPC contracts, acquisition of the knowledge of the project management technique, pre-occupying effect of the market and profit itself. Wind power projects have biggest share in the investment amounts among the renewable energy business. So, in this study, one wind farm project was selected and supposed to be invested in China, USA, Germany and UK at the same time and the effect of electricity price, corporate income tax, inflation rate and interest rate of debt were analyzed. The result showed that investing in Germany is most profitable because of the highest electricity price and electricity price and debt interest rate are the most sensitive factors for IRR. This approach would be helpful to make decisions in investing foreign wind power projects.

• Journal of Intelligence and Information Systems
• /
• v.20 no.1
• /
• pp.35-48
• /
• 2014

According to the 2013 construction market outlook report, the liquidation of construction companies is expected to continue due to the ongoing residential construction recession. Bankruptcies of construction companies have a greater social impact compared to other industries. However, due to the different nature of the capital structure and debt-to-equity ratio, it is more difficult to forecast construction companies' bankruptcies than that of companies in other industries. The construction industry operates on greater leverage, with high debt-to-equity ratios, and project cash flow focused on the second half. The economic cycle greatly influences construction companies. Therefore, downturns tend to rapidly increase the bankruptcy rates of construction companies. High leverage, coupled with increased bankruptcy rates, could lead to greater burdens on banks providing loans to construction companies. Nevertheless, the bankruptcy prediction model concentrated mainly on financial institutions, with rare construction-specific studies. The bankruptcy prediction model based on corporate finance data has been studied for some time in various ways. However, the model is intended for all companies in general, and it may not be appropriate for forecasting bankruptcies of construction companies, who typically have high liquidity risks. The construction industry is capital-intensive, operates on long timelines with large-scale investment projects, and has comparatively longer payback periods than in other industries. With its unique capital structure, it can be difficult to apply a model used to judge the financial risk of companies in general to those in the construction industry. Diverse studies of bankruptcy forecasting models based on a company's financial statements have been conducted for many years. The subjects of the model, however, were general firms, and the models may not be proper for accurately forecasting companies with disproportionately large liquidity risks, such as construction companies. The construction industry is capital-intensive, requiring significant investments in long-term projects, therefore to realize returns from the investment. The unique capital structure means that the same criteria used for other industries cannot be applied to effectively evaluate financial risk for construction firms. Altman Z-score was first published in 1968, and is commonly used as a bankruptcy forecasting model. It forecasts the likelihood of a company going bankrupt by using a simple formula, classifying the results into three categories, and evaluating the corporate status as dangerous, moderate, or safe. When a company falls into the "dangerous" category, it has a high likelihood of bankruptcy within two years, while those in the "safe" category have a low likelihood of bankruptcy. For companies in the "moderate" category, it is difficult to forecast the risk. Many of the construction firm cases in this study fell in the "moderate" category, which made it difficult to forecast their risk. Along with the development of machine learning using computers, recent studies of corporate bankruptcy forecasting have used this technology. Pattern recognition, a representative application area in machine learning, is applied to forecasting corporate bankruptcy, with patterns analyzed based on a company's financial information, and then judged as to whether the pattern belongs to the bankruptcy risk group or the safe group. The representative machine learning models previously used in bankruptcy forecasting are Artificial Neural Networks, Adaptive Boosting (AdaBoost) and, the Support Vector Machine (SVM). There are also many hybrid studies combining these models. Existing studies using the traditional Z-Score technique or bankruptcy prediction using machine learning focus on companies in non-specific industries. Therefore, the industry-specific characteristics of companies are not considered. In this paper, we confirm that adaptive boosting (AdaBoost) is the most appropriate forecasting model for construction companies by based on company size. We classified construction companies into three groups - large, medium, and small based on the company's capital. We analyzed the predictive ability of AdaBoost for each group of companies. The experimental results showed that AdaBoost has more predictive ability than the other models, especially for the group of large companies with capital of more than 50 billion won.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.3
• /
• pp.518-526
• /
• 2017

This study analyzed the impact of family firms and their characteristics on how they use debts to analyze the decision-making process of Korean family firms. For analysis, we classified the characteristics of family firms into three categories, through the influence of the relationship between the lack of funds and net debt issuance, which was confirmed as the 'packing order theory' of family firms. There was a total of 4,503 enterprises in the Korean Exchange (KRX). The period of analysis was 10 years, between 2004 and 2014. To summarize, Shyam-Sunder and Myers (1999) validated the packing order theory by presenting a model of family businesses that showed greater applicable to higher packing order theory than a model of non-family businesses. Moreover, the results also confirmed the application of the packing order theory by the family stronger corporate governance and ownership structure. The ownership and governance characteristics of the ruling family has also shown the applicability of higher packing order theory.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.6
• /
• pp.3870-3881
• /
• 2015

This study examined one of the contemporary issues on debate to identify any significant financial determinants on the cash holdings of the cheabol firms in the Korean domestic capital markets. Several important findings on the financial characteristics affecting the cash holdings were evidenced by utilizing various methodologies for statistical estimations. Financial or managerial implications with discussion were provided for the pronounced factors such as CASHFLOW, MVBV, REINVEST, and AGENCY. Assuming that the chaebol firms were overall subject to the financial constrains, they may increase or stockpile cash reserves as internal capital for future investment opportunities or repayment of existing debt, rather than external financing burdened by a high cost of capital. Given the on-going controversy on the optimal level of corporate cash holdings coupled with any foreseeable capital transfer among the associated nations through the investment vehicles such the FTAs (Free Trade Agreements) or TPP (Trans-Pacific Pacts), any empirical findings of the study may shed new light on identifying financial determinants which may significantly affect the level of cash holdings for the business conglomerates, the 'chaebol' firms, in the Korean capital markets.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.6
• /
• pp.11-26
• /
• 2023

This study aimed to empirically analyze the effect of Korean companies' FDI(Foreign Direct Investment) on their financial performances, particularly divided into profitability, stability, growth and activity, while comparing distinct financial performances between SMEs(small and medium-sized enterprises) and large enterprises whose corporate attributes are different from each other. As research subjects, this study selected FDI Korean companies from the directory of oversea-expanded companies of KOTRA(Korea Trade-Investment Promotion Agency) and used financial data from a total of 409 companies(136 SMEs and 273 large enterprises) with complete financial data for the first five years after the initial investment out of all the financial data from 1990 to 2021. The analysis results can be summarized as follows; In the profitability sector, FDI had positive effects on ROA(Return on Assets) and ROS(Return on Sales) of SMEs, while having negative effects on those of large enterprises to the contrary. In the stability sector, FDI had no statistical significance for SMEs, while having significantly negative effect on LEV(Debt to Equity Ratio) of large enterprises. In the growth sector, FDI had significantly negative effect on AGR(Asset Growth) of SMEs, but showed no significant results for large enterprises. In the activity sector, FDI showed no statistical significance for SMEs, while having positive effects on ATR(Asset Turnover Ratio) and FATA(Fixed Asset Turnover Ratio) of large enterprises. In conclusion, it was found that when having made FDI, SMEs and large enterprises showed different financial performances from each other in terms of profitability, stability, growth and activity.

• Proceedings of the Korea Contents Association Conference
• /
• 2006.11a
• /
• pp.327-332
• /
• 2006

Entering legal management, shareholders receive some payment. We call this phenomenon the deviations from absolute priority. This study focuses on incremental effect and determinants of equity to shareholders by wealth transfer from creditors to stockholders in the process of legal management. The main results of this study can by summarized as follows. First, the incremental effect of equity to shareholders is common in the sample of this study. The sample contains 46 non-listed firms that filed for legal management and had confirmed their reorganization plans. Second, the results of the regression model analyzing the determinants of incremental equity to shareholders in legal management show that it is negative related to the solvency(total debt/total asset), firm size, and weight of claims for secured creditors and banks significantly. but corporate reorganization period(from filing to confirmation)are not significant.

• Asia-Pacific Journal of Business
• /
• v.10 no.4
• /
• pp.205-221
• /
• 2019

The purpose of this research is to investigate the effect of cash holdings on firm value in export companies. To investigate this effect, we analyzed 5,386 samples drawn from export companies listed in the KOSDAQ from 2011 to 2018. During this period, the International Financial reporting Standards have been employed. The research results are as follows. First, the results of a T-test showed that the level of the firm value of export companies with high levels of cash holdings is significantly higher than that of those with low levels of cash holdings. In addition, the level of the firm value of export companies with higher levels of cash holdings than in the previous year is higher than the level might otherwise be. Furthermore, the effects of cash holdings on firm value are similar to those on return on asset. These results suggested that export companies have little used a way of increasing their debt levels in order to increase cash holdings. Second, the results of a multivariate regression analysis presented that the cash holdings of export companies in listed the KOSDAQ significantly influence their firm value. Moreover, a higher level of cash holdings than in the previous year significantly affect firm value. These results proposed that making higher cash holdings than in the previous year might be useful in enhancing firm value. We found that export companies efforts to increase cash holdings positively influence changes in firm value. We also found that Korean export companies maintain their financial stability by obtaining sufficient liquidity specifically in a high uncertainty era like the recent time. We finally firmed an effort to maintain cash holdings as a reasonable choice for export companies.

• Asia-Pacific Journal of Business
• /
• v.12 no.3
• /
• pp.213-233
• /
• 2021

Purpose - Our study examines the determinant factors of corporate financial fraud and whether the characteristics of outside directors tend to decrease the fraud in China. Design/methodology/approach - The data come from the enforcement actions of the Chinese Securities Regulatory Commission (CSRC). The multiple regression analysis were hired in order to analyze the data. Findings - Firms that have smaller size, higher debt ratio, or lower return of assets are associated with the incidence of fraud. However, the firms that have a high proportion of outside directors on the board or whose outside directors have a high compensation are less likely to engage in fraud. Our results show that outside directors monitor the actions of managers and thus help deter fraudulent acts. On the other hand, fraud is more associated with the local outside directors rather than outside directors who are from other locations. Since local outside directors tend to be more related with managers of firms, they can lose their independence. Research implications or Originality - Our findings have implications for the design of appropriate outside directors systems for China-listed firms. Moreover, our results imply that recruiting outside directors from other regions can improve the expertise and independence of outside directors in China. Our study contributes to provide more useful information about investors' investment decisions or management oversight and regulators' decisions on audit activities by disclosing information relating to the characteristics of outside directors.