Accurate Evaluation of Asset Pricing Under Uncertainty and Ambiguity of Information

This paper proposes a new generative uncertainty mechanism based on the Bayesian Inference and Correntropy (BIC) technique for accurately evaluating asset pricing in markets. The key findings reveal that the precise modeling of asset information can estimate price changes in the market effectively.