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Research On The Financial Risk Early Warning Model Construction Of China's Real Estate Listed Companies

Posted on:2019-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2439330611972423Subject:Business management
Abstract/Summary:PDF Full Text Request
In recent years,the real estate industry continues to heat up,and the attention of all sectors of society is increasing.It is very necessary to conduct early warning research on the financial risks of real estate listed companies.Whether it is a listed company,or stakeholders such as shareholders or creditors,it not only wants to know whether the enterprise is in financial distress,but also wants to know what kind of specific financial stage the enterprise is in,which is more conducive to the development of enterprises and stakeholder decisions.In the past,most of the previous studies have classified the financial situation of the enterprise two,but the financial situation of the company is likely to occur between the crisis and the health situation.Therefore,the financial status of listed companies can not be simply divided by financial crisis and financial health.The multi classification of financial status is more consistent with the actual situation of the current market.The purpose of this paper is to set up a multi-classification early warning model applicable to the financial risk of real estate listed companies in China,so as to provide references for stakeholders in China's real estate listed companies.This paper reviews and summarizes the theory of early warning of financial risk,financial risk status on the basis of the company divided into financial bankruptcy,financial distress,financial health,financial health of four categories,and from the profitability,solvency,operation ability,growth ability,cash flow from five aspects of financial indicators,the construction of early warning indicator system.This paper selects China's Shanghai and Shenzhen two city real estate listed companies as the research object,collecting the annual financial report data,and using principal component analysis to extract the main factors of early warning indicators,finally using multivariate Logistic regression analysis methods to build financial risk early-warning model of real estate listed companies in china.The conclusion is: the early warning model established in this paper for the sample data on China's real estate listed companies use a year in advance to predict the financial risk profile of the company,can provide the basis for China's real estate listed companies internal and external stakeholders in a timely and effective judgment of the company to measure financial risk status;the company's financial risk,from the profitability,solvency,operation ability,growth ability and cash flow condition of the five aspects of selected indicators;the real estate listed companies in China are classified as financial bankruptcy,financial distress,financial health and financial health to the financial status quo of China's real estate listed companies reflect more comprehensive the.
Keywords/Search Tags:real estate listed companies, principal component analysis, multi-classification Logistic regression analysis, financial risk early warning model
PDF Full Text Request
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