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| Reference/title | Contribution | Research gap/limitations |
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| Construction of legal system for maritime international trade financial supervision cooperation | It is found that many financial platforms are unwilling to make online loans because they do not have enough lender information and it is proposed that if online loans are implemented, enough user credit data must be collected | Less consideration of internal management |
| Risk disclosure and performance of Malaysian construction public listed companies | It is found that the network credit risk can be controlled. All the above problems can be solved only by solving the information asymmetry between credit companies and credit users | Time dimension and organization dimension are not considered |
| Podda et al.’s ensembling and dynamic asset selection for risk-controlled statistical arbitrage | From the analysis of users’ loan data on the credit platform, it is found that online credit is better than traditional credit in cost control and its income is higher than traditional credit business. Therefore, it is of practical significance to promote online credit | Less consideration of internal management |
| Research on financial early warning of mining listed companies based on BP neural network model | Particle swarm optimization classifier and support vector machine are used to identify bankruptcies | Unable to provide real-time feedback on abnormal changes of commercial banks |
| Preferences and beliefs about financial risk taking mediate the association between anterior insula activation and self-reported real-life stock trading | The penalty function method is used to realize the parameter estimation and variable selection at the same time, and the Monte Carlo model is used to prove that the network structure based on logical regression is better than other methods | Time dimension and organization dimension are not considered |
| Optimal investment–reinsurance strategies with state dependent risk aversion and VaR constraints in correlated markets | This paper puts forward the improvement idea of only synthesizing wrong samples when dealing with unbalanced samples, improves the problem of hyperplane deviation in the classification of unbalanced samples by support vector machine, and applies the improvement to the case of customer credit risk assessment of small loan companies, and its classification accuracy is higher than other algorithms | Less consideration of internal management |
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