• 아태비즈니스연구
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• 제11권2호
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• pp.27-43
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• 2020

Purpose - This study explores the impact of the real estate industry on related industries for the perspective of Chinese steel companies. Design/methodology/approach - The impact of housing prices on the 41 listed steel companies' performance was analyzed by using the panel data model. We used two kinds of housing price indexes that are set in the panel data models to estimate the range of the real estate market, driving the performance growth of steel listed companies. Moreover, the net profit of steel companies is used as the dependent variable. To test the stability of the model, ROA used as a dependent variable for the robustness test. Also, to avoid the time trend of housing prices, this paper selects the growth rate of housing prices as the primary research variable. After Fisher-type testings, there is no unit root problem in both independent and dependent variables. Findings - The results indicated that the rise in the housing price has a positive influence on the steel company performance. When the housing price increases by 1%, the net profit of steel enterprises will increase by 5 to 20 million yuan. Research implications or Originality - In this paper, empirical data at the micro-level and panel model are used to quantify China's real estate industry's driving effect on the iron and steel industry, providing evidence from the microdata level. It helps us to understand further the status and role of China's real estate industry in the economic structure.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.355-363
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• 2022

The debt maturity structure has a significant impact on a company's financial situation. Any debt maturity structure decisions substantially impact investment decisions due to changes in capital cost and dividend decisions due to cash flow consequences. This study used the system generalized method of moment (Sys-GMM) to investigate the debt maturity structure of real estate companies listed on the Ho Chi Minh Stock Exchange (HOSE) in the duration from 2008 to 20019. It found that the firm size, liquidity, and tangible assets affected the decision on debt maturity structure. The tangible asset had the most significant impact on the possibility for companies to access long-term loans. This finding revealed that the majority of the real estate companies listed on HOSE borrowed money from banks. Such decisions are most likely affected by the collateral. Another finding of the study is that financial institutions had a major impact on loan maturity structure, whereas the effects of the financial market were negligible. Besides, the real estate companies listed on HOSE seemed not to pay attention to changes in inflation, economic growth, and institutional qualities when deciding on the debt maturity structure.

• 디지털융복합연구
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• 제15권11호
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• pp.113-120
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• 2017

본 연구에서는 금융위기를 전후하여 기업이 보유한 부동산 중 업무용부동산과 투자부동산의 보유비중이 어떻게 변화되었는지를 분석하고, 이 부동산의 보유비중이 금융위기를 전후하여 코스피기업과 코스닥기업간에 차이가 있는지 여부를 분석하였다. 코스피기업의 경우 투자부동산은 개략적으로 증가하고 업무용부동산은 개략적으로 감소하였다. 코스닥 기업의 경우 금융위기 중의 투자부동산을 제외하고 코스피기업과 유사하였다. 평균차이분석을 이용하여 코스피기업과 코스닥기업을 비교해보면, 금융위기 직전에는 코스피기업의 보유부동산비중이 코스닥기업의 보유부동산비중 보다 투자와 업무용 모두 낮았으나, 금융위기 중 구간에는 코스피기업의 업무용부동산비중이 코스닥기업의 업무용부동산비중 보다 높아졌으며, 금융위기 직후 구간과 최근 구간까지는 코스피기업의 투자부동산비중이 코스닥기업의 투자부동산비중 보다 높게 유지되고 있었다. 본 연구는 금융위기 전후의 업무용부동산과 투자부동산의 변화 현상을 파악하는 목적이며, 이 분석결과를 토대로 경영성과와의 관련성 파악을 향후연구과제로 남긴다.

• Journal of Information Processing Systems
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• 제10권2호
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• pp.314-333
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• 2014

When analyzing default predictions in real estate companies, the number of non-defaulted cases always greatly exceeds the defaulted ones, which creates the two-class imbalance problem. This lowers the ability of prediction models to distinguish the default sample. In order to avoid this sample selection bias and to improve the prediction model, this paper applies a minority sample generation approach to create new minority samples. The logistic regression, support vector machine (SVM) classification, and neural network (NN) classification use an imbalanced dataset. They were used as benchmarks with a single prediction model that used a balanced dataset corrected by the minority samples generation approach. Instead of using prediction-oriented tests and the overall accuracy, the true positive rate (TPR), the true negative rate (TNR), G-mean, and F-score are used to measure the performance of default prediction models for imbalanced dataset. In this paper, we describe an empirical experiment that used a sampling of 14 default and 315 non-default listed real estate companies in China and report that most results using single prediction models with a balanced dataset generated better results than an imbalanced dataset.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.93-104
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• 2022

This study aims to investigate the factors that contribute to the sustainable development of 334 Vietnamese construction and real estate companies listed on the Stock Exchange of Vietnam over a 5-year period from 2016 to 2020. By using regression analysis with the support of STATA software through examining the financial statements, which involves looking into crucial ratios including capital structure, profitability, firm size, accounts receivable management, and tangible assets investment, this study sheds light on whether these accounting indicators could help predict the construction and real estate companies growing potential in the future. Nevertheless, these ratios slightly contribute to the explanation of the change in revenue growth ratio, with a result of 1.6%, indicating that the value relevance of accounting information provides a modest and insignificant effect on investment decisions. This is understandable because the Vietnamese construction and real estate market still has many shortcomings in handling unexpected events, as well as the industry's peculiarities related to major capital sources from bank loans. Based on this study, governmental authorities and business executives should plan appropriate risk management policies and measures to contribute to the sustainable development of construction and real estate companies.

• 한국콘텐츠학회논문지
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• 제20권11호
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• pp.131-144
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• 2020

많은 나라에 정치적 연결이 널리 퍼져 있으며 현재 경제연구에서 화두가 되고 있다. 중국에서는 기업들이 여러 가지 방법으로 정치적 연결을 활발히 형성하고 있다. 본 논문은 연구모델과 이론분석을 바탕으로 2010~2014년 중국 A주 상장부동산의 재무자료와 기업지배구조 자료를 활용해 정치연계 및 기업성과의 연구 모델을 제시하고 구성한다. 논문은 주로 CEO의 정치 연관성을 분석한다. 이 연구는 분석 결과에 대해 일변량 회귀 분석과 다변량 분석을 사용하여 강건성 테스트를 수행한다. 실증적 연구 분석은 세 부분으로 구성되어 있다. 첫째, 중국 상장 부동산 기업의 경우 CEO 정치 연계는 기업 실적과 상당히 부정적인 상관관계를 가지고 있다. 이는 CEO가 정치적 연줄이 있는 부동산 기업이 다른 기업보다 낮은 성과를 얻는다는 것을 의미한다. 둘째, CEO의 개인적 특성에서 연령, 성별, 교육수준은 기업의 성과와 긍정적인 관계를 가지며, 추가적인 이후 상황은 기업의 성과와 부정적으로 관련되어 있다는 것을 의미한다. 마지막으로 기업 특성은 기업의 성과와 부정적인 관계를 가지며, 최고 관리자 수는 기업의 성과와 긍정적으로 관련되어 있다. 이 연구는 중국 부동산 산업의 정치적 연관성에 대한 연구를 수행했으며, 기업의 발전에 유익한 참고 자료를 제공할 수 있다.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.35-42
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• 2020

This study aims to investigate the relationship between the variables of Current Ratio (CR), Return-on-Equity (ROE), Return-on-Assets (ROA), Debt-to-Equity Ratio (DER), and Firm Size (FS) on Dividend Policy (DP) in real estate and property companies listed on the Indonesia Stock Exchange in the period 2016-2019, looking at nine real estate companies in Indonesia. The research methodology uses an explanatory analysis approach and linear regression. Based on the eligibility and homogeneity of the data, the number of sample companies selected was nine companies. The company's financial statement data derived from primary data obtained on the Indonesia Stock Exchange, such as current ratio (CR), return-on-equity (ROE), return-on-assets (ROA), debt-to-equity ratio (DER) and firm size and dividend policy variables. The data analysis procedure is first to transform financial data from the original ratio data into interval data and, then, transform it to ordinal data. Furthermore, the validity and reliability process are ignored because the data is primary. Finally, regression testing is part of the hypothesis testing stage. The results of this study showed that the CR, ROE, and firm size had no positive and significant effect on dividend policy. In contrast, DER and ROA have a positive and significant impact on dividend policy.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.45-52
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• 2021

The capital structure is one of the hot financial topics among researchers and scholars. Its importance comes from the fact that capital structure is closely related to companies' ability to meet different stakeholders' needs. A suitable capital structure will boost the business and create a competitive advantage in the context of fierce competition. Many companies choose an optimal debt level based on the trade-off between interest and debt costs. This study aimed to test the existence of trade-off theory in capital structure, the case of Vietnam's real estate companies, which are growing very fast recently. Instead of considering constant optimal leverage to test the trade-off model, we take advantage of the dynamic capital structure determined by growth opportunities, profitability, tax incentives, tangibility, liquidity, and firm size. The dynamic panel data regression was estimated by the system Generalized Method of Moment (Sys-GMM). The empirical evidence showed that real estate companies listed in the Vietnamese stock market might change their leverage toward a target capital structure determined by influential factors in a long-term perspective. In particular, the debt-to-asset ratio will change by approximately 14 percent, positively, in response to the difference between the current debt-to-asset ratio and the dynamic target debt-to-asset ratio.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.101-108
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• 2022

The outbreak of Coronavirus disease 2019 (COVID-19) has caused serious impacts not only on human health but also on the economies around the world. Enterprises play an important role in the development of every country but it is also one of the most affected sectors during the pandemic. Drawing on panel data of 131 enterprises listed on the Vietnamese stock exchange from 2016Q1 to 2021Q3, this study aims to investigate the impact of the COVID-19 pandemic on firm performance. Enterprises are classified into seven industries including Agriculture, Material, Industry, Real estate and Construction, Energy, Consumer, and Service. The paper also analyzes the variation of the effects among companies, focusing on differences in revenue and capital structure. The results show that the COVID-19 pandemic negatively affects business performance. In addition, the empirical findings indicate that revenue and debt decreasing can cause deterioration of firm performance during the pandemic period. The decrease in revenue has a direct impact on firm profitability. The reduction of debt levels affects the corporate leverage leading to adverse effects on firm performance. The negative effect is more pronounced for companies in some specific sectors including industry, real estate, construction, consumption, and services.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.1-10
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• 2021

This paper attempts to investigate the determinants of capital structure of Vietnamese firms and also shed light on some of the factors of the modern theory of capital structure which is relevant for explaining the capital structure in advanced countries which are also relevant in the context of Vietnam. Using panel data from more than 1000 Vietnamese listed enterprises census 2017-2020, the paper finds that leverage ratio of Vietnamese firms is significantly related to probability. The firms have high level of fixed assets which they use as collateral, resulting in higher debt ratio, which is in line with the pecking order theory. The result also confirm that highly targeted debt ratio is positively correlated with the industry characteristics (using real estate firms as a benchmark), in which firm operates. Furthermore, consistent with the trade-off hypothesis, the leverage ratio is positively affected by non - debt tax shield. The result confirms that a large number of companies are state - owned, will have an insignificant impact of firm's size (as reverse proxy for bankruptcy cost) on leverage ratio. We also find that there is no distinction between state-owned enterprises and private enterprises due to strict adherence to the rules set by the Vietnamese government. Distinct from other countries, corporate income tax has slight impact on capital structure in Vietnamese firms.