Prediction of Chinese Financial Total Loan Amount via Unbiased Grey-Fuzzy-Markov Chain Method

The national investment trend plays an important role in economics. This paper predicts the Chinese financial total loan amount as an indicator of the investment tendency by using an unbiased grey-Markov chain method, which combines the unbiased grey model GM(1,1) and Markov chain with fuzzy classification. This method takes advantage of the prediction power of the original Grey-Markov framework and also eliminate the grey bias existing in the original GM(1,1) and improve the anti-jamming ability of the model to overcome the random fluctuation in the data. Our prediction shows that the Chinese annual investment will continue increasing in the following five years with 15% growth rate.