Application of regression function model based on panel data in bank resource allocation financial risk management

Ji, Tonghui; Khadidos, Alaa O.; Keir, Mohammed Yousuf Abo

doi:10.2478/amns.2021.2.00056

Cited by 2 publications

(1 citation statement)

References 16 publications

(14 reference statements)

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“…With your new pattern, the Chinese government proposed the global economy and built a broader community of interests [19]. Internet technology has further accelerated the development of the diversifcation and integration of the world economy [20]. In addition to the smooth trade brought about by the high degree of economic integration, the fnancial risks that enterprises need to face have also become more diverse and inexorable.…”

Section: Introductionmentioning

confidence: 99%

Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management

Jiang

2022

Advances in Multimedia

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The development of modern technology allows enterprises to continuously expand the means of financial management. The use of advanced information technology and modern management means makes the financial management of enterprises continue to improve, but there are also many problems. In the face of various types of risks that enterprises may face at present, in addition to strengthening financial accounting, enterprises should also recognize the various risks that the double-edged sword of financial management informatization may bring to enterprise financial management and carefully analyze the reasons for the emergence of risks, from the ideological and technical means to continuously improve the entire process of financial management informatization, which is an important topic for every financial worker to discuss. This paper mainly studies and innovates the data mining process and the support vector machine model and designs the data preprocessing method in the data mining process to perform feature selection and optimize the parameters of the support vector machine model. The specific process is as follows: based on CRISP-DM, the industry-standard model of the data mining process, a series of data preprocessing, eigenvalue extraction, parameter optimization, training set pruning, and other methods are designed from business understanding, data understanding, data preparation, and other aspects to improve data quality. In the traditional support vector machine, when the test sample is located at the boundary point of the hyperplane, the judgment may be wrong. In the aspect of SVM model improvement, according to the discrimination method of SVM, the weighted K-nearest neighbor algorithm is introduced to redistinguish the qualified test samples in the feature space. From the whole process of data mining, a data mining system is designed, which is “data preprocessing standardization + genetic algorithm feature selection + training set pruning + support vector machine classifier discrimination optimization.” Finally, this paper uses a series of data mining optimization methods designed to mine the actual financial data of listed companies and has achieved good results.

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Section: Introductionmentioning

confidence: 99%

Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management

Jiang

2022

Advances in Multimedia

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Construction of an enterprise financial risk management system based on F-score model

2023

Applied Mathematics and Nonlinear Sciences

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With the development of socialist market economy, enterprises are faced with an increasingly complex development environment. In the context of socialist market economy, enterprises can only obtain better development if they continuously promote the improvement of internal control and management system, and effectively carry out financial risk control and management. This paper discusses the procedures and construction measures of the internal control and management system of the enterprise from the requirements and contents of the enterprise financial risk management, using the F-score model. We hope to strengthen the exploration of enterprise financial risk management measures by further improving the enterprise’s internal control system, so as to further enhance the quality of enterprise financial risk management, effectively predict, prevent, control and respond to the relevant financial risks of the enterprise, and build a stable development path for the enterprise.

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Application of regression function model based on panel data in bank resource allocation financial risk management

Cited by 2 publications

References 16 publications

Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management

Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management

Construction of an enterprise financial risk management system based on F-score model

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