• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.111-118
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• 2022

The purpose of this research is to evaluate the quality of non-financial information disclosure by companies listed on the Vietnamese stock exchange. In 2019, 140 annual reports from 140 companies listed on the Vietnam Stock Exchange were included in the research sample. The remaining 134 reports were eligible study after removing those that lacked essential data. Using the statistical software SPSS version 25 and Excel office software, the study has selected the data processing method and the disproportionate disclosure index method to evaluate the quality of non-financial information disclosure of companies. The findings of the study demonstrate that companies listed on the Vietnam stock exchange are particularly interested in giving non-financial information to financial statement consumers as required by law, although the level of disclosure is still inadequate. The findings also illustrate the varying levels of non-financial information disclosure by category of information, as well as substantial disparities between them (general information about the company, environmental and social information, corporate governance information, etc.). The findings of the study show that the majority of Vietnam's publicly traded enterprises are less interested in reporting environmental information.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.73-81
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• 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.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.293-304
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• 2020

The study reveals the extent of changes in selective financial numbers caused by fixed asset revaluation (FAR) and explores whether there was a management motive for playing the financial numbers game through using the FAR model. The data set consists of a sample of 142 listed companies purposively selected from 13 industries. The study found a significant impact of FAR on the net asset value (NAV), fixed asset intensity (FAI), and debt-to-equity ratio (DER). These findings are supported by the political cost and the debt covenant hypotheses. The study also observed a high growth of fixed assets by 9.5% to 14,603.8% resulting from FAR. More revealing is that FAR increased NAV in revaluer companies by an average of 427.20% as compared to 6.86% in non-revaluer companies. Even some companies with negative NAV took resort on FAR to show positive NAV. Besides, revaluer companies managed to reduce their DER by 70.45% as opposed to an increase of 8.45% in non-revaluer companies. Hence, the study concludes that most of the publicly-listed companies are involved in financial numbers game by the use of the FAR model. To build confidence among investors, companies should practice FAR rightly and disclose related information to help reduce information asymmetry.

• 지능정보연구
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• 제8권1호
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• pp.1-13
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• 2002

비상장기업이나 신규상장기업의 경우 주식거래량과 거래가격이 없거나 불충분하므로 최근 활발히 연구되고 있는 VaR(Value-at-Risk)를 파악하지 못한다. 본 연구에서는 비상장기업 및 신규상장기업의 미래 가격위험의 척도인 VaR를 추정하는 방법론을 제시하고, 이를 시스템(VAS-CBR)으로 구현하였다. 구체적으로는 사례기반추론(Case Based Reasoning: CBR) 기법을 이용하여 기존의 상장회사들 중에서 신규 및 비상장기업과 유사한 재무적, 비재무적 특성을 갖는 상장기업을 찾아내고, 유사기업의 VaR를 근거로 신규 및 비상장기업의 VaR를 간접적으로 추정하였다. 또한 개발 시스템의 예측력 제고를 위한 운용방안 및 시스템의 예측력을 실험을 통하여 밝혔다.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.1-12
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• 2021

Altman's Z-score is used to measure a company's financial health and to predict the probability that a company will collapse within 2 years. It is proven to be very accurate to forecast bankruptcy in a wide variety of contexts and markets. The goal of this study is to use Altman's Z-score model to forecast insolvency in non-financial publicly traded enterprises. Non-financial firms are a significant industry in Malaysia, and current trends of consolidation and long-term government subsidies make assessing the financial health of such businesses critical not just for the owners, but also for other stakeholders. The sample of this study includes 84 listed companies in the Kuala Lumpur Stock Exchange. Of the 84 companies, 52 are considered high risk, and 32 are considered low-risk companies. Secondary data for the analysis was gathered from chosen companies' financial reports. The findings of this study show that the Altman model may be used to forecast a company's financial collapse. It dispelled any reservations about the model's legitimacy and the utility of applying it to predict the likelihood of bankruptcy in a company. The findings of this study have significant consequences for investors, creditors, and corporate management. Portfolio managers may make better selections by not investing in companies that have proved to be in danger of failing if they understand the variables that contribute to corporate distress.

• 유통과학연구
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• 제11권3호
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• pp.49-62
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• 2013

Purpose - The purpose of this paper is has been to identify the information disclosed by Internet website companies listed in Tehran Stock Exchange. Research design, data, methodology - The list was prepared includes 84 attributes for financial information in two parts and 36 non-financial information attributes and with 48 attributes of listed companies in Tehran Stock Exchange. Results - The results show that Internet reporting in Iran has improved compared to previous research. However, the level of financial disclosure and accounting firms with the most important research in this area is weak and these companies are more willing to disclose non-financial information to disclose their financial information. In Iran has been little research on Internet financial reporting. Conclusions - Although this study has been to the best possible information is available on the website of each company covered and fully evaluated but May have some unwanted data hidden from view has been fulfilled and is missing. The attribute relating to support of other languages, in this study, only the presence or absence of links (other languages) and information disclosed is limited to languages have not been studied other than Persian.

• The Journal of Asian Finance, Economics and Business
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• 제6권3호
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• pp.41-53
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• 2019

Building a target capital structure is one of the most important decisions in corporate financial management. The purpose of this article is to identify the determinants of capital structure and adjustment mechanism toward the target leverage. The partial adjustment model was applied on a sample of 306 non-financial companies listed on Vietnam stock exchange market during the period of 2008-2017. By the fixed effect model estimation method, the research results have discovered the factors of growth opportunities, firm size, tangible fixed assets and firm's unique characteristics have a positive effect on the target capital structure of enterprises. Besides, profitability and dividend payment have a negative effect on the target capital structure of enterprises. Accordingly, the research results show that the average adjustment speed toward target leverage of the firms is 90.03%. Research results also demonstrate firms have higher or lower debt ratio than the target debt ratio, capital surplus or capital deficit also have an impact on the adjustment rate toward the target capital structure. The research results are consistent with the Dynamic Trade-off Theory. From this result, this article has provided policy implications for non-financial companies listed on Vietnam's stock market in building a reasonable target capital structure according to operating timeline to maximize enterprise value.

• 한국항해항만학회지
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• 제45권3호
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• pp.173-180
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• 2021

회계는 기업 경영의 핵심 분야 중 하나임에도 해운사의 회계와 관련된 연구는 많이 이루어지지 않았다. 또한, 선박금융, 금융리스 등 금융을 많이 활용하는 해운사에 있어서 재무보고는 매우 중요함에도 불구하고 해운사의 재무보고, 특히 이익조정에 관한 연구는 찾아보기 어렵다. 본 논문의 목적은 해운사의 발생액 이익조정 행태를 분석하는 것이다. 부채비율이 높고, 당기순손실 기업은 이익조정의 유인이 있다고 알려져 있다. 해운사는 산업의 특성으로 인해 부채비율이 높고, 당기순손실을 보고하는 경우가 많다. 따라서 해운사는 이익조정을 많이 할 것으로 예상된다. 2001년부터 2020년까지 한국거래소에 상장된 KOSPI 기업을 대상으로 분석한 결과 해운사는 비 해운사에 비해 이익조정을 많이 하는 것으로 나타났다. 이익조정의 대리변수는 재량적발생액을 사용하였다. 재량적발생액은 Dechow et al.(1995)의 수정Jones모형과 Kothari et al.(2005)의 성과대응모형을 사용하여 측정하였다. 본 연구는 회계처리 행태 중 대표적인 이익조정에 관해 해운사와 비 해운사를 비교 분석함으로써 유의미한 결과를 도출하였다. 외부감사인, 투자자, 금융기관, 애널리스트, 정부당국 등 이해관계자는 상장 해운사의 외부감사, 재무분석, 감독 등에 있어 해운사의 이익조정 행태에 대해 인지할 필요성이 있다. 마지막으로, 상장 해운사는 회계원칙에 입각한 보다 엄정한 회계처리를 해야 할 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.195-204
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• 2020

The aim of this study is to estimate the impact of ownership structure on the performance of listed firms in transition economy. Buiding upon agency theory, hypotheses on such relationship are proposed. A detailed panel data of 502 non-financial companies listed on Ho Chi Minh Stock Exchange and Hanoi Stock Exchange over the period from 2013 to 2018, and the system generalized method of moment estimation are employed to test the proposed hypotheses. To ensure the reliability of data, this study excludes companies that violate information disclosure regulations or that are subject to special supervision by the State Securities Commission of Vietnam. Some firms with inadequate information, firms that lack the financial data required for creating variable or firms that have inconsistent construction are also re-screened. We only collect the data of enterprises that have ownership structure of two or more components. Estimation results reveal that state ownership has an U-shaped relationship with the performance of Vietnamese listed firms, while foreign ownership and the degree of ownership concentration have an inverted U-shaped relationship with listed firms' performance. The article provides governance implications that Vietnamese listed firms should decrease state ownership and foreign ownership to improve firm performance in order to boost investors' confidence.

• 유통과학연구
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• 제20권10호
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• pp.61-66
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• 2022

Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.