We proposed a novel development trend prediction approach of digital financial inclusion (DFI) based on exploratory spatial data analysis (ESDA) and graph convolutional neural network (GCN), named ESDAGCN. Firstly, to address the limitation of standard GCN in lacking financial background...

Forecasting stock returns is extremely challenging in general, and this task becomes even more difficult given the turbulent nature of the Chinese stock market. We address the stock selection process as a statistical learning problem and build cross-sectional forecast models to select individual...

This paper assesses the explanatory power of the liquidity-risk-based pricing models relative to the Fama-French three-factor model (FF3) and the extensions to the FF3. We find that the liquidity-augmented capital asset pricing model (LCAPM) performs no worse but generally better than other...