Operating ecology and financial risk analysis of the real estate industry——Empirical analysis based on SWOT-PEST analysis and the F-Probit model
DOI:
https://doi.org/10.54691/bcpbm.v23i.1362Keywords:
operating ecology; financial risk; real estate industry; SWOT-PEST analysis; F score model; Probit regression model.Abstract
In the context of "no speculation" in China, the survival environment of real estate developers is increasingly complex, and the real estate industry has been declining. Based on this, this paper uses SWOT-PEST analysis to study the business ecology of China's real estate industry, and it uses the F score model to analyze the financial risk of 9 real estate enterprises, and finally uses the Probit regression model and stability test to analyze the influencing factors of profits and total assets of the real estate industry. After studying, the conclusions are as follows: (1) China's real estate industry is still not over despite the downturn. (2) the financial risk of most real estate enterprises is increasing year by year. Although there is no bankruptcy crisis, it should not be underestimated. (3) the liquidity level and cumulative profitability of enterprise assets are important factors affecting the assets and profits of enterprises.
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