Abstract
Nowadays, a broad consensus has been formed on the internationalization of corporate management. However, with the development of China’s economy and society and the continuous expansion of the global investment market, more multinational companies and industries have entered our country, and Chinese companies will also face many uncertain operating factors, as well as increasingly fierce international competition. The development and future of the company will face very huge challenges. Make financial analysis and early warning before the financial crisis, and promptly notify the management, investors and other stakeholders of the problem, so that they can take timely measures to reduce the hidden dangers in financial risks, which has become the company’s current urgent need for improvement the actual problem. This article focuses on the research of financial risk analysis and early warning based on crowd search algorithm, and understands financial risk analysis and early warning and related theories of crowd search algorithm on the basis of literature data, and then analyzes the financial risk analysis and early warning system of memory crowd search algorithm is designed and tested. The test results show that the comprehensive risk score of the experimental company in this paper is 0.349 in 2017. According to the company’s 2018 financial data, the risk analysis of this paper is effective.
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Tingting, B. (2022). Financial Risk Analysis and Early Warning Research Based on Crowd Search Algorithm. In: Tian, Y., Ma, T., Khan, M.K., Sheng, V.S., Pan, Z. (eds) Big Data and Security. ICBDS 2021. Communications in Computer and Information Science, vol 1563. Springer, Singapore. https://doi.org/10.1007/978-981-19-0852-1_15
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DOI: https://doi.org/10.1007/978-981-19-0852-1_15
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