• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.895-907
• /
• 2020

Information transparency ensures that market players all have the opportunity to access the same information to come up with their assessment of the banks' financial situation, performance and risks to reach effective investment decisions. This research is conducted to investigate the levels of impact of determinants on information transparency by examining the case studies of Vietnamese commercial banks. This study combines both qualitative and quantitative research methods, based on interviews of 32 specialists in banking, accounting and auditing fields, which were conducted to explore determinants influencing information transparency and to develop measurement scales. Then, a survey of 160 managers of commercial banks, audit firms, and accounting managers of firms who frequently had transactions with banks was carried out to investigate the statistical significance of these determinants. The results show that, out of seven determinants that have significant impacts on the banks' information transparency, commitment from banks' senior management regarding transparency in information disclosure has the highest impact, followed by state governance, auditing, information infrastructure, credit rating agencies, personnel and bank performance. Accordingly, we provide some recommendations for improving information transparency in the Vietnamese banking industry context as a case study and in emerging countries context in general.

• Land and Housing Review
• /
• v.9 no.1
• /
• pp.1-9
• /
• 2018

As the government announced Real Estate Policies on August 02, most areas except for Seoul cities face increasing business risks. Moreover, the government control over financial sectors' loan leads to the highly possible contraction of new distribution markets. The market trend could bring about the reduction of new demand in PF (Private Financing) business that large construction companies mainly concentrate on, and even the business already obtained has a high risk of being distributed, which could result in substantially low profitability. The currently unstable financial structure of most construction companies is caused by the hike of the prime cost of foreign plants except for that of a few construction companies. If PF (Private Financing) business also faces a difficult situation in such a financial condition, even large construction companies come to have the high possibility of a deficiency in credit rating. Accordingly, the major business that large construction companies concentrate on needs the sufficient business review. It is desirable to make a bid for business guaranteeing stability rather than business solely in consideration of profitability, when participating in a competition for a new construction contract.

• Journal of Navigation and Port Research
• /
• v.44 no.5
• /
• pp.414-422
• /
• 2020

In this study, an empirical analysis of 55 ship finance cases executed by a specific ship finance bank from 2009 to 2016 during the recession period was conducted. The purpose of this study was to find the factors affecting changes in the debt performance of Korean shipping companies. The main factors were the loan nature (investment purpose, loan-to-value (LTV), syndicated loans, loan terms, put-option, balloon, and spread), financial nature (total assets turnover, net profit-to-sales ratio, debt ratio, quick ratio, total borrowing, bonds payable to total assets, interest expenses-to-sales ratio, debt service coverage ratio (DSCR), and total assets), and the company nature (company age, chief executive officer's (CEO's) shares, and listing status). In this study, the factors affecting the debt repayment capability of domestic shipping companies (loan nature, financial nature, and company nature) were verified. The credit rating was used to measure the dependent variable, debt repayment ability. The variables of investment purpose, put-option, balloon, and spread in the loan nature, debt ratio in the financial nature, and the CEO's shares and company age in the company nature were found to be significant.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.22 no.3
• /
• pp.163-173
• /
• 1997

Although numerous studies demonstrate that one technique outperforms the others for a given data set, it is hard to tell a priori which of these techniques will be the most effective to solve a specific problem. It has been suggested that the better approach to classification problem might be to integrate several different forecasting techniques by combining their results. The issues of interest are how to integrate different modeling techniques to increase the predictive performance. This paper proposes the post-model integration method, which tries to find the best combination of the results provided by individual techniques. To get the optimal or near optimal combination of different prediction techniques, Genetic Algorithms (GAs) are applied, which are particularly suitable for multi-parameter optimization problems with an object function subject to numerous hard and soft constraints. This study applies three individual classification techniques (Discriminant analysis, Logit model and Neural Networks) as base models for the corporate failure prediction. The results of composite predictions are compared with the individual models. Preliminary results suggests that the use of integrated methods improve the performance of business classification.

• Journal of Intelligence and Information Systems
• /
• v.15 no.4
• /
• pp.99-121
• /
• 2009

Recently, there have been many studies that predict corporate bankruptcy using data mining techniques. Although various data mining techniques have been investigated, some researchers have tried to combine the results of each data mining technique in order to improve classification performance. In this study, we classify 4 types of data mining techniques via their characteristics and select representative techniques of each type then combine them using a genetic algorithm. The genetic algorithm may find optimal or near-optimal solution because it is a global optimization technique. This study compares the results of single models, typical combination models, and the proposed integration model using the genetic algorithm.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.7
• /
• pp.439-451
• /
• 2020

This study focused on researching the factors affecting retail banking efficiency of Vietcombank branches in the Mekong-Delta region. By collecting data from financial statements from 15 branches of VCB in the Mekong-Delta Region between 2015 and 2018, the paper applies DEA estimation to measure the effectiveness of retail banking activities and uses the Tobit regression model to identify factors affecting retail banking efficiency. The results demonstrate that the retail banking efficiency of branches averaged 52.5% during the period. The rating result shows the branches in An Giang, Can Tho, Dong Thap, Kien Giang, Long An, Phu Quoc and Tra Noc rank at the top technical efficiency. In group of medium efficiency, there are branches in Soc Trang, Tien Giang and Vinh Long. In the category of the poor efficiency are the branches in Bac Lieu, Ben Tre, Ca Mau, Chau Doc and Tra Vinh. The results also show that bank scale-related factors, capital adequacy, credit quality, time specific and region impact significantly the retail banking efficiency. The research not, only contributes to enriching the empirical research method but also is significant for the management activities in business developing strategies, improving the operational efficiency of Vietcombank in the region.

• Journal of the Korea Safety Management & Science
• /
• v.17 no.4
• /
• pp.23-33
• /
• 2015

Recently, the Ministry of Employment and Labor Management is a trend to strengthen all men death rate than the accident rate. Points reduction in the accident rate change orders related to credit rating score to +2 points in his plans as part of +1 point. In addition, according to the fancy linger RISK treatment in the event of a disaster site and fiction treatment to achieve accident-free during processing the scene interspersed with equity issues have been raised. In general disaster for the problem in the first two cases occurs when abnormal process according to the disaster site manager positions dismissal policy, each division headquarters itself, interspersed disasters performance compared to processing in accordance with the refrain, processing expenses in accordance with the composition of untreated industrial accident, costs and burdens partners FTC, there is a possibility that the issues raised, such as the Ministry of Employment and Labor. In response to domestic social practices focused on the construction site practices and prevention measures should be evaluated with respect to what.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.7
• /
• pp.73-84
• /
• 2020

Existing studies disagree over the core predictors of firm-level financial choices in developing countries. The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty. This study removed overfitting issues among existing factors and presented the most reliable and advanced capital structure model in Pakistani firms. The panel data include 368 Pakistani companies from 19 non-financial sectors over the period 2004 to 2017. We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model. The fixed effects regression is used for basic results and the Generalized Method of Moments is applied to control the endogeneity. Besides the conventional proxies, we report that credit rating, distance from bankruptcy, managerial concentration, and institutional quality are the most advanced capital structure determinants in Pakistan. These predictors remain significant across firm size and growth levels. Also, the findings confirm that new predictors are reliable to define capital structure dynamics and improve the speed of adjustment in overall and sub-sample analysis. The major findings suggest that managers and policymakers should consider these advanced predictors to design their financial settings in firms.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.73-81
• /
• 2022

The focus of the research is to determine the amount of financial information disclosure and the factors that influence it for non-financial enterprises listed on Vietnam's stock exchange. To evaluate the level of financial information disclosure, the study uses a set of disclosure indexes from the world's leading credit rating agency, Standard and Poor's (S&P). It makes some revisions in compliance with regulations for information disclosure on the Vietnam stock market. The study collects data in the form of annual reports for the year 2017-2020 from 350 non-financial firms listed on Vietnam's stock exchange and then uses a multivariate regression model to assess the effects of factors on the amount of financial information disclosure. The findings show that the size of the firm, the size of the board of directors, and foreign ownership all have a positive impact on financial transparency; however, the number of years the company has a negative impact. According to the findings of this study, companies with more total assets, a larger board of directors, and a higher rate of foreign ownership publish more financial information. Still, long-term listed companies on the stock exchange tend to disclose less.

• Korean Security Journal
• /
• no.40
• /
• pp.175-207
• /
• 2014

This paper focuses on the study of a development direction of the industrial security Expert system. First of all, in order to manage Industrial security system, we need to have law, criminology, business and engineering professionals as well as IT experts, which are the multi-dimensional convergence professionals. Secondly, industrial organizations need to have workforce who can perform security strategy; security plan; security training; security services; or security system management and operations. Industrial security certification system can contribute to cultivate above mentioned professional workforce. Currently Industrial Security Expert(ISE) is a private qualification. However, the author argued that it have to be changed to national qualification. In addition, it is necessary that the system should be given credibility with verifying the personnel whether they are proper or not in the their field. In terms of quality innovation, it is also necessary that distinguish the levels of utilization of rating system of the industrial security coordinator through a long-term examination. With respect to grading criteria, we could consider the requirements as following: whether they must hold the degree of the industrial security-related areas of undergraduate or postgraduate (or to be); what or how many industrial security-related courses they should complete through a credit bank system. If the plan of completing certain industrial security-related credits simply through the credit bank system, without establishing a new industrial security-related department, has established, then industrial security study would be spreaded and advanced. For private certification holders, the problem of the qualification succeeding process is important matter. Additionally, it is necessary to introduce the certifying system of ISMS(Industrial Security Management System) which is a specialized system for protecting industrial technology. To sum up, when the industrial security management system links the industrial security management certification, industrial security would realize in the companies and research institutions dealing with national key technology. Then, a group synergy effect would occurs.