Abstract
The financial market has certain volatility in its stability due to the influence of many factors. In the analysis of the financial market, it is necessary to combine scientific and effective intelligent algorithms. Based on the cluster analysis algorithm, this paper analyzes the factors affecting financial market volatility. Moreover, this paper conducts a more in-depth study and summary of the fuzzy C-means clustering algorithm, derives the analysis and solution process of the improved algorithm in detail, and gives the steps to improve the clustering algorithm. In addition, this paper constructs an analysis model of financial market volatility influencing factors based on cluster analysis and establishes a supply chain financial credit risk evaluation index system that includes the quality of corporate managers, corporate indicators, and asset structure. Finally, this paper verifies the performance of the algorithm model of this paper through experimental research. It can be seen from the experimental research results that the methods and models proposed in this paper have certain effects.
Highlights
As the trade exchanges of countries around the world have become more and more open, the degree of global economic integration has further deepened, and the financial systems of various countries have become more and more closely connected. e integration of the world economy and finance, on the one hand, makes resource allocation more efficient and is more conducive to the complementary advantages of various countries to develop their own economies
The impact of the two crises was different, they had a great impact on the world financial system and the real economy [1]
Among the clustering algorithms based on objective functions, the theory of fuzzy c-means (FCM) algorithm is the most complete and the most widely used. e FCM algorithm was first proposed by E
Summary
As the trade exchanges of countries around the world have become more and more open, the degree of global economic integration has further deepened, and the financial systems of various countries have become more and more closely connected. e integration of the world economy and finance, on the one hand, makes resource allocation more efficient and is more conducive to the complementary advantages of various countries to develop their own economies. With the deepening of the Mobile Information Systems development of financial and trade cooperation, whether the outbreak of extreme financial market risk in a country will cause the net contagion of extreme financial market risk due to similarities in the economic development structure and systems of the member countries in the group is a question worthy of our consideration. Whether this will lead to the withdrawal of international investors from several other member states, currency shocks, or collective sell-offs in the securities market is a question worthy of our consideration. Literature [20] regarded financial market emergencies that cause drastic changes in multiple financial and economic indicators as extreme risks
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
