随机前沿分析与小波思想在金融市场威胁出现研究中的应用

Valeria Baranova, Oleksandr Zeleniy, Zhanna V. Deineko, Vyacheslav Lyashenko
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引用次数: 0

摘要

金融市场是经济结构的重要组成部分。这些市场使动员和重新分配财政资源成为可能。然而,这一过程不断受到各种风险的威胁。为了预防和减少风险,有必要采用一套全面的程序来分析这些风险发生的条件。为此,我们研究了随机前沿分析和小波思想的相互关系。我们强调技术效率与可能发生的风险之间的联系。为了进一步分析风险发生的条件,我们使用了小波理论的仪器。结果给出了实际数据的例子,为乌克兰经济的银行部门。所考虑的程序可用于信息通信系统,以确保经济安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Frontier Analysis and Wavelet Ideology in the Study of Emergence of Threats in the Financial Markets
Financial markets are an important structural element of the economy. These markets make it possible to mobilize and reallocate financial resources. However, such a process is constantly under the threat of various risks. To prevent and minimize risks, it is necessary to use a comprehensive procedure for analyzing the conditions for occurrence of such risks. To this end, we examined the interrelationship of stochastic frontier analysis and wavelet ideology. We emphasize the link between technical efficiency and the possible occurrence of risks. For an advanced analysis of the conditions of occurrence of risk, we use the apparatus of the theory of wavelets. The results are given on the example of real data for the banking sector of the economy of Ukraine. The considered procedure can be used in infocommunication systems to ensure economic security.
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