• Asia pacific journal of information systems
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• v.19 no.2
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• pp.139-155
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• 2009

For the last few decades, many studies have tried to explore and unveil venture companies' success factors and unique features in order to identify the sources of such companies' competitive advantages over their rivals. Such venture companies have shown tendency to give high returns for investors generally making the best use of information technology. For this reason, many venture companies are keen on attracting avid investors' attention. Investors generally make their investment decisions by carefully examining the evaluation criteria of the alternatives. To them, credit rating information provided by international rating agencies, such as Standard and Poor's, Moody's and Fitch is crucial source as to such pivotal concerns as companies stability, growth, and risk status. But these types of information are generated only for the companies issuing corporate bonds, not venture companies. Therefore, this study proposes a method for evaluating venture businesses by presenting our recent empirical results using financial data of Korean venture companies listed on KOSDAQ in Korea exchange. In addition, this paper used multi-class SVM for the prediction of DEA-based efficiency rating for venture businesses, which was derived from our proposed method. Our approach sheds light on ways to locate efficient companies generating high level of profits. Above all, in determining effective ways to evaluate a venture firm's efficiency, it is important to understand the major contributing factors of such efficiency. Therefore, this paper is constructed on the basis of following two ideas to classify which companies are more efficient venture companies: i) making DEA based multi-class rating for sample companies and ii) developing multi-class SVM-based efficiency prediction model for classifying all companies. First, the Data Envelopment Analysis(DEA) is a non-parametric multiple input-output efficiency technique that measures the relative efficiency of decision making units(DMUs) using a linear programming based model. It is non-parametric because it requires no assumption on the shape or parameters of the underlying production function. DEA has been already widely applied for evaluating the relative efficiency of DMUs. Recently, a number of DEA based studies have evaluated the efficiency of various types of companies, such as internet companies and venture companies. It has been also applied to corporate credit ratings. In this study we utilized DEA for sorting venture companies by efficiency based ratings. The Support Vector Machine(SVM), on the other hand, is a popular technique for solving data classification problems. In this paper, we employed SVM to classify the efficiency ratings in IT venture companies according to the results of DEA. The SVM method was first developed by Vapnik (1995). As one of many machine learning techniques, SVM is based on a statistical theory. Thus far, the method has shown good performances especially in generalizing capacity in classification tasks, resulting in numerous applications in many areas of business, SVM is basically the algorithm that finds the maximum margin hyperplane, which is the maximum separation between classes. According to this method, support vectors are the closest to the maximum margin hyperplane. If it is impossible to classify, we can use the kernel function. In the case of nonlinear class boundaries, we can transform the inputs into a high-dimensional feature space, This is the original input space and is mapped into a high-dimensional dot-product space. Many studies applied SVM to the prediction of bankruptcy, the forecast a financial time series, and the problem of estimating credit rating, In this study we employed SVM for developing data mining-based efficiency prediction model. We used the Gaussian radial function as a kernel function of SVM. In multi-class SVM, we adopted one-against-one approach between binary classification method and two all-together methods, proposed by Weston and Watkins(1999) and Crammer and Singer(2000), respectively. In this research, we used corporate information of 154 companies listed on KOSDAQ market in Korea exchange. We obtained companies' financial information of 2005 from the KIS(Korea Information Service, Inc.). Using this data, we made multi-class rating with DEA efficiency and built multi-class prediction model based data mining. Among three manners of multi-classification, the hit ratio of the Weston and Watkins method is the best in the test data set. In multi classification problems as efficiency ratings of venture business, it is very useful for investors to know the class with errors, one class difference, when it is difficult to find out the accurate class in the actual market. So we presented accuracy results within 1-class errors, and the Weston and Watkins method showed 85.7% accuracy in our test samples. We conclude that the DEA based multi-class approach in venture business generates more information than the binary classification problem, notwithstanding its efficiency level. We believe this model can help investors in decision making as it provides a reliably tool to evaluate venture companies in the financial domain. For the future research, we perceive the need to enhance such areas as the variable selection process, the parameter selection of kernel function, the generalization, and the sample size of multi-class.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.85-93
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• 2020

The paper investigates the impact of the statement of cash flows of listed companies on lending decisions of commercial banks in the context of Vietnam. Survey data for the research were collected from 160 credit officers of Vietnamese commercial banks for short-term and long-term lending decisions, whether the cash flow statement includes complete information or has a lack of information. The cash flow statement, in which the information on the cash flow is completely contrary to the profit information on the income statement is examined. This paper employed T-tests to address the research issues in a market considered to be ineffective, like Vietnam. The research results show: (1) the information on the cash flow statement affects both the short-term and long-term lending decisions of credit officers, and (2) the lack of information on the cash flow statement in both cases of positive and negative profits affects the comfort and confidence of credit officers in making decisions. The research findings also indicate that cash flow statements are important for lending decisions of credit institutions in Vietnam. Therefore, this paper provides a new insight to managers on how to improve the quality of cash flow statement to meet the needs of lenders.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.115-125
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• 2020

This paper investigates the impact of working capital management on the firm's profitability. The research sample includes 119 non-financial listed companies on Vietnam stock market over a period of 9 years from 2010 to 2018. Two statistical approaches include Ordinary least squares (OLS) and fixed effects model (FEM) are employed to address econometric issues and to improve the accuracy of the regression coefficients. The empirical results show the negative and significant impacts of the working capital management, which measured by cash conversion cycle (CCC) and three components of the CCC including accounts receivable turnover in days (ARD), inventory turnover in days (INVD), and accounts payable turnover in days (APD) on the firm's profitability measured by return on assets (ROA) and Tobin's Q. It implies that firms can increase profitability by keeping the optimization of the working capital management measured by the CCC, which includes shortening the time to collect money from clients, accelerating inventory flow and hold the low payment time to creditors. Besides, the profitability of firms was impacted by the sale growth rate, firm size, leverage, and age. Therefore, this paper provides a new insight to managers on how to improve the firm's profitability with working capital management.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.245-254
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• 2021

This paper examines the impact of corporate governance strength on capital structure in an emerging country, namely, Jordan, by constructing a corporate governance score that captures both internal monitoring mechanisms (foreign ownership and institutional ownership) and external monitoring mechanism (audit fees). In addition, this study uses profitability as control variable. This paper uses data of non-financial companies (industrial and services) of 87 listed firms on Amman Stock Exchange (ASE) from 2011 to 2019. Using the random-effects generalized least square (GLS) regression model, the findings reveal that foreign ownership significantly and negatively influences the level leverage, while institutional ownership has a positive and insignificant association with level leverage. Further, audit fees have a positive and strong significant association with level leverage in Jordan. In addition, profitability has a positive and significant association with leverage. These outcomes suggest that foreign ownership should be encouraged in listed companies as it can replace the weakness of other corporate governance mechanisms in Jordan. The outcomes of the current study should be of great interest to regulators and policy-makers. The results, which are robust to a range of alternative proxies and to additional tests, provide new insights into the determinants of level leverage.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.129-139
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• 2021

The aim of this study is to provide insight into tax avoidance through planning and management, and its investment consequences in financially constrained and unconstrained firms, as well as to empirically examine the interrelationships between the variables studied. Data was extracted from the financial statement analysis of non-financial companies listed on the Pakistan stock exchange (PSX) published by the State Bank of Pakistan, covering ten major manufacturing sectors. KZ index and WW index are used to identify financially constrained and unconstrained firms. Tax avoidance is measured by using GETR and LETR. All the equations are estimated through panel data regression models using common, fixed, and random effects. The empirical investigation of the role of tax avoidance in all firms collectively and constrained and unconstrained firms separately showed that the tax avoidance behavior of these firms is translated into investments by these firms. The study will help policymakers in strategy formulation and implementation related to tax planning and investment decisions in constrained and unconstrained firms to overcome their financial constraints and to optimize their investment decisions for value maximization. This will substantially increase the investment in the country by providing growth opportunities and lowering the tax rates.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.1
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• pp.99-109
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• 2024

This study focused on analyzing the difference in the impact of non-financial performance, specifically ESG (Environmental, Social, and Governance) activity grade level, on management performance and corporate value among the 25 fashion companies listed on the Korea Exchange that completed their ESG evaluation in 2022. The companies were categorized into three levels based on their ESG evaluations: ESG Integrated Grade (ESG-T), ESG-E (Environmental), ESG-S (Social), and ESG-G (Governance). The study then empirically analyzed how these levels affected management performance and corporate value. The empirical analysis revealed significant differences in the impact on management performance and corporate value depending on the ESG activity grade level. Companies with higher ESG grades exhibited better management performance and higher corporate values across all ESG sub-variables (ESG-T, ESG-E, ESG-S, ESG-G) compared to those with lower grades. This finding demonstrates the influence of ESG activity grade levels on improving management performance and enhancing corporate value in fashion companies. The results of this research provide meaningful insights into the direction of sustainable management through ESG activities in fashion companies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.289-295
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• 2021

This study investigates the role of corporate governance in the dividend decision of 198 non-financial companies listed on the Colombo Stock Exchange of Sri Lanka, over the period from 2009 to 2016. Four corporate governance indicators are used in this study; managerial ownership, the board size, board independence, and CEO duality. Furthermore, this study considers three control variables such as profitability, firm size, and corporate tax. This study employed the Generalized Method of Moments (GMM) model to estimate the regression models on panel data study. The major contribution of this study is exploring the insight into the effect of corporate governance factors on dividend decisions. The results of the study revealed that managerial ownership showed a significant positive impact on the dividend payout ratio. Board size showed a significant positive influence on the dividend payout ratio. Board independence negatively but significantly influenced the dividend payout ratio. CEO duality showed an insignificant negative impact on the dividend payout ratio. In the framework of these CG indicators, Sri Lankan listed firms are recommended to have dispersed ownerships, large Board size and maintain a balance of power and authority by separating the individual who is assuming the position of the CEO from the Chairperson of the Board and maintain at least two independent directors.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.1097-1104
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• 2020

This research seeks to provide evidence about how political connections, proxied by government ownership and the existence of politically connected board members, affect the extent of corporate social responsibility (CSR) disclosures in Indonesian listed companies. This research uses the legitimacy theory as a basis for explaining management's motivation for disclosing its CSR. The sample consists of 131 firm-year observations from 38 non-financial public companies that published sustainability reports from 2013 to 2017. We measured the CSR disclosures using a disclosure checklist on the sustainability reports. We subsequently processed the data using a random effect (RE) linear regression. The result shows that CSR disclosures were greater in government-owned companies but lower in companies that have politically connected board members. The results support the legitimacy theory that the government intends to demonstrate legitimate national economic and political conditions by showing that government-owned companies are sustainable. However, CSR disclosures seem to have a substitutive relationship with the existence of politically connected board members, since those political connections may protect the company from public pressure and/or the risk of litigation, reducing the need for CSR disclosures. This research provides evidence that different types of political connections may have different impacts on corporate disclosures.

• Journal of Venture Innovation
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• v.2 no.2
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• pp.95-115
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• 2019

In the context of today's business environment, not only is the nation or company's credit rating considered very important in our recent society, but it is also becoming important in international transactions. Likewise, at this point of time when the importance and reliability of credit evaluation are becoming important at home and abroad, this study analyzes financial ratios related to corporate profitability, safety, activity, financial growth, and profit growth to study the impact of financial indicators on enterprise value and corporate taxes on credit evaluation. To proceed with this, the financial ratio of 465 companies of KOSPI securities listed in 2017 was calculated and the impact of enterprise value and corporate taxes on credit evaluation was analyzed. Especially, this further study tried to derive a reliable and consistent conclusion by analyzing the financial data of KOSPI securities listed companies for eight years from 2011, which is the first year of K-IFRS introduction, to 2018. Research has shown that the significance levels among variables that show the profitability, safety, activity, financial growth, and profit growth of each financial ratio were significant at the 99% level, except for the profit growth. Validation of the research hypothesis found that while the profitability of KOSPI-listed companies significantly affects corporate value and income tax, indicators such as safety ratio and growth ratio do not significantly affect corporate value and income tax. Activity ratio resulted in significant effects on the value of enterprise value but not significant impacts on income taxes. In addition, it was found that the enterprise value has a significant effect on the company's credit and corporate income taxes, and that corporate income taxes also have a significant effect on the corporate credit evaluation, and this also shows that there is a mediating function of corporate tax. And as a result of further study, when looking at the financial ratio for eight years from 2011 to 2018, it was found that two variables, KARA and LTAX, are significant at a 1% significant level to KISC, whereas LEVE variables is not significant to KISC. The limitation of this study is that credit rating score and financial score cannot be said to be reliable indicators that investors in the capital market can normally obtain, compared to ranking criteria for corporate bonds or corporate bills directly related to capital procurement costs of enterprise. Above all, it is necessary to develop credit rating score and financial score reflecting financial indicators such as business cash flow or net assets market value and non-financial indicators such as industry growth potential or production efficiency.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.687-696
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• 2021

This paper investigates the effect of environmental performance and environmental management on firm value using financial performance as mediation variable. There are still inconsistencies in research on environmental performance and environmental management and their impact on company value. This research used a quantitative approach involving secondary data. The variables used are environmental performance, environmental management, company financial performance, and company value. Multiple regression was used because it allowed the researchers to examine the relationship of each variable contained in the research framework by describing all of the direct effects (non-mediated effects) and the indirect effects of the research variables. The research sample consisted of 144 manufacturing companies listed on the Indonesia Stock Exchange from 2012 to 2017. Statistically, this study found that there was no direct effect that had a significant impact on environmental performance and firm value, and found that there is a significant direct effect of environmental management variables on firm value. Improved environmental management by the company is proven to increase the value of the company directly. This paper found that, not only does an increase in stakeholder trust happen when a company increases its environmental awareness, but there is also an increase in the financial aspects of the company.