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Early warning analysis and empirical research of real estate enterprise capital chain crisis based on cloud model

Published: 25 February 2022 Publication History

Abstract

In recent years, with the upgrading of macroeconomic control and the increase in corporate concentration, the development of the real estate industry has entered a period of adjustment. The high-leverage and high-debt operating model cannot be sustained. In the future, industry competition and corporate funding pressure will continue to increase. This paper takes real estate enterprises as the research object, based on the analysis of the characteristics of the capital chain crisis in the whole life cycle of the real estate business activities, constructs the capital chain crisis evaluation index system, and tests the rationality of the indicators, and uses the combined weight method to calculate the index weights. Established a crisis early warning model based on cloud model theory, and applied and tested the early warning model through empirical research. The results confirmed that the established index system has high applicability to real estate companies, and the constructed early warning model has a more accurate early warning effect on real estate companies’ capital chain crises, and the Modeling ideas that Combination weight and cloud model two methods are coupled and coordinated further improved the scope, accuracy and rationality of the early warning system.

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  • (2022)Time Series Segmentation and Clustering Method Based on Cloud Model2022 12th International Conference on Information Science and Technology (ICIST)10.1109/ICIST55546.2022.9926837(153-160)Online publication date: 14-Oct-2022

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cover image ACM Other conferences
ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2022

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Author Tags

  1. Cloud model
  2. Combination weight
  3. Real estate enterprise capital chain crisis

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • Shaanxi Water Conservancy Science and Technology Project
  • The National Natural Science Foundation of China
  • Shaanxi Provincial Department of Education Key Scientific Research Project

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ACAI'21

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Overall Acceptance Rate 173 of 395 submissions, 44%

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View all
  • (2022)Time Series Segmentation and Clustering Method Based on Cloud Model2022 12th International Conference on Information Science and Technology (ICIST)10.1109/ICIST55546.2022.9926837(153-160)Online publication date: 14-Oct-2022

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