Early Warning Research On Agricultural Financing Risk Of H And I Listed Companies In Guangdong Province

At present,domestic financial institutions provide less credit and financial support for agricultural investment and financing.The main reason is that the agricultural financial risk system is imperfect.The research on agricultural risk assessment is not systematic,the risk compensation mechanism is not implemented,and the risk early warning mechanism is difficult to construct.Studying the risk warning of agricultural investment and financing is conducive to improving the agricultural financial risk management mechanism,strengthening the promotion of financial means to the rural revitalization strategy,and realizing the development goal of agricultural and rural modernization.Based on this,this paper defines the concept of agricultural investment and financing,sorts out the theoretical basis of BP neural network theory and risk warning theory,then analyzes the current situation of China's agriculture,and sorts out the relevant theoretical and practical results of domestic and international financing risks and financing risks early warning,based on The basic situation of China's agriculture,as well as the internal and external financing environment,analyzes the status quo and problems of agricultural investment and financing early warning,that is,China's agricultural investment and financing has a single financing channel,excessive dependence on equity financing,the proportion of long-term equity pledge is increased,and the raised funds are not effectively utilized.It is not effective enough in the early warning of corporate financing risks.This paper constructs BP neural network model through financial indicators such as fixed assets,liabilities,current ratio,quick ratio,etc.,and takes the agricultural listed company in Guangdong Province as an example to obtain the SWI value,and judges the agricultural listing by analyzing the SWI value of Guangdong agricultural listed company.Corporate finance risk rating.Through the early warning research on the financing risk of agricultural listed companies in Guangdong Province,it is concluded that the BP neural network model has strong applicability to the agricultural investment and financing risk warning,and the agricultural listed companies in Guangdong Province have lower risk levels.At the end of the thesis,the paper will improve the supervision system for agricultural listed companies,strengthen the training of financing risk management and early warning related professionals,enrich the financing channels and methods ofagricultural listed companies,and expand agricultural investment and financing channels.Risk warnings provide targeted recommendations.