Xianglian Zhao's research while affiliated with Nanjing University of Aeronautics & Astronautics and other places
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Publications (4)
Under the background of the new development pattern, the green credit market has ushered in a huge space for development. The monitoring and control of green credit risk is conducive to solving the negative impact of green credit risk and promoting the healthy development and smooth operation of the green credit market. This study first takes diffe...
Controlling green credit risk is conducive to increasing the confidence of financial institutions, improving the enthusiasm of enterprises for green innovation, and promoting the sustainable development of green credit and the high-quality development of green economy. This paper puts government intervention, green technology innovation, and regula...
Traditional financial means are no longer able to deal with the green finance issues in the new situation. While intelligence service has provided new ideas for green financial security management. The comprehensive and sustainable application of green financial security intelligence service will help to effectively guarantee green financial securi...
Risk management is an important issue of green finance, and it is also a prominent issue of green economic development. The resolution of green financial risk will help protect the interests of all stakeholders and promote the development of green finance. This study suggests that intelligence service provides new ideas and ways for green financial...
Citations
... Current models remain inadequate in mitigating the rate of misjudgment. Domestic scholars and experts have a prevalent practice of integrating machine learning techniques, including neural networks, with conventional econometric models like KMV and logistic models to construct credit risk measurement models that exhibit enhanced accuracy (Chen & Zhao, 2023). This has the potential to enhance model prediction accuracy by over 80%. ...
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... This analysis helps financial institutions better understand customers' credit behavior, develop more precise credit strategies, and improve the efficiency of risk management. At the same time, time series analysis also provides an important data mining tool for the field of credit evaluation, which is expected to improve the performance and prediction capabilities of credit evaluation models (Zhao & Chen, 2022;Zeng & Zhong, 2022). ...
... Performance Expectancy, represent Effort Expectancy, represent Social Influence, and represent Facilitating Conditions. The equation for the calculation of Behavioral Intention (BI) is as follows[17]:(1) Where , , , , and are regression coefficients. The equation for the calculation of is as follows[18]: ...
... In the Islamic finance industry, risk management plays a crucial role in promoting sustainable developmen (H. Chen and Zhao 2022;Hummel et al. 2021;Inshakova et al. 2021;Nobanee et al. 2021;Popkova and Sergi 2021;Vagin et al. 2022) t. It entails identifying, evaluating, and mitigating risks while ensuring Shariah compliance. ...
