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An Empirical Study on Financial Early-warning for Listed Real Estate Companies

Author: LiaoJian
Tutor: KongXiaoWen
School: Jinan University
Course: Business management
Keywords: Real estate Listed companies Financial Early Warning Logistic regression analysis
CLC: F293.33
Type: Master's thesis
Year: 2008
Downloads: 966
Quote: 5
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Abstract


Financial early warning model as risk management tools to identify the financial crisis and provide an early warning signal for the company to investors and managers , is becoming one of the hot issues in corporate financial management research areas . Application design is simple and efficient financial crisis early warning model to discover the hidden dangers of the business and guard against them in a timely manner , no doubt has great theoretical and practical significance . The paper selected the real estate industry such a high-risk , high investment pillar industry , the use of increasingly standardized information disclosure in the securities market , as well as national macroeconomic data , the consolidated non-financial indicators associated with the real estate industry to build the applicable early warning model for each -stakeholder provide the basis for analyzing and determining the business and financial position . This paper described the mechanism of the financial crisis , a detailed analysis of the origin and development of the various factors that caused the financial crisis of the real estate business and the financial crisis early warning ; followed by a review of the research results of the domestic and international financial crisis early warning model , while recalling the various research methods and comparison of analysis ; then combined with the specific sample previous text property characteristics on the basis of summing up , the establishment of a system of financial and non-financial indicators ; Finally, the choice of indicators established a number of binary logistic model , and the results of these models to empirical analysis . Empirical studies concluded that the model has good predictive results, cash flow indicators , ownership structure indicators and annual report disclosure indicators to improve the prediction accuracy of , and shareholding structure of the indicators and annual report disclosure indicators to build an early warning model for different interests stakeholders to provide effective help .

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CLC: > Economic > Economic planning and management > Urban and municipal economy > Urban Economics and Management > The real estate economy > Real Estate Management
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