Multi-Dimensional Financial Early Warning Calculation Based on Markov Model

Multi-dimensional financial early-warning calculation based on Markov model; Especially with the acceleration of economic globalization, more and more financial crisis early-warning theories are emerging, but most of them are oriented to the whole market, and there are few financial crisis early-warning for specific industries and specific enterprises. However, in real life, there are huge differences in management modes among different industries. In this paper, the multidimensional financial early warning calculation of Markov model is comprehensively analyzed and calculated. The results show that the traditional multidimensional financial early-warning calculation assumes that all the indexes entering the model operation obey the normal distribution, but in fact, the actual data of the indexes all have great instability. It is determined that the Markov model has the best prediction result of 99.86% when selecting the first indexes in the ranking queue of multi-dimensional financial early-warning calculation. Therefore, the multidimensional financial early-warning calculation of Markov model has a high discrimination accuracy. Finally, the experiment verifies the significance of establishing a reasonable and effective scientific multi-dimensional financial early-warning calculation system and strengthening the control and management of multi-dimensional financial early-warning calculation based on Markov model