Abstract
Abstract
Corporate financial index is a collection of corporate financial information, which can truly and reliably reflect the financial status of a company. In order to monitor the size of corporate financial risks and prevent and reduce risks from bringing crises to enterprises, this paper proposes a financial early-warning computer big data model for listed real estate companies based on extension theory based on traditional financial early-warning methods, and combining them with each company The specific actual data is verified to provide suggestions for the development of listed real estate companies quickly and dynamically.
Subject
General Physics and Astronomy
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