<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper firstly studies the regional economic law under the perspective of blockchain, using the characteristics of blockchain as a regulatory system outside the bottom layer, but also needs to combine the application scenario of supply chain finance and build a financial and economic regulatory system and a heterogeneous multi-chain cooperative regulatory system. Secondly, in response to the problems such as the irrationality of regional economic law, the price discrimination antitrust litigation system is proposed to play the role of economic recovery. Then the digital currency economic law is studied by using an adaptive differential evolutionary algorithm, using the process of crossover, variation, and selection to obtain digital currency behavioral characteristics so as to ensure the digital currency economic visualization analysis and to plan the monetary policy of economic law and analyze the digital currency economic risk. The results show that Bitcoin’s daily average right-tail VaR (94.8%) is the lowest among the listed crypto-digital currencies at 2.58%, while the left-tail mean is the highest among the three crypto-digital currencies, which is consistent with the fact that BTC has been issued for the longest time and is more mature among the crypto-digital currencies with the most dramatic tail risk variation as well as the largest magnitude.</p>
</abstract>

This paper firstly studies the regional economic law under the perspective of blockchain, using the characteristics of blockchain as a regulatory system outside the bottom layer, but also needs to combine the application scenario of supply chain finance and build a financial and economic regulatory system and a heterogeneous multi-chain cooperative regulatory system. Secondly, in response to the problems such as the irrationality of regional economic law, the price discrimination antitrust litigation system is proposed to play the role of economic recovery. Then the digital currency economic law is studied by using an adaptive differential evolutionary algorithm, using the process of crossover, variation, and selection to obtain digital currency behavioral characteristics so as to ensure the digital currency economic visualization analysis and to plan the monetary policy of economic law and analyze the digital currency economic risk. The results show that Bitcoin’s daily average right-tail VaR (94.8%) is the lowest among the listed crypto-digital currencies at 2.58%, while the left-tail mean is the highest among the three crypto-digital currencies, which is consistent with the fact that BTC has been issued for the longest time and is more mature among the crypto-digital currencies with the most dramatic tail risk variation as well as the largest magnitude.

Regulation of Regional Economic Law Laws Incorporating Adaptive Differential Evolutionary Algorithms from a Blockchain Perspective

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper firstly studies the regional economic law under the perspective of blockchain, using the characteristics of blockchain as a regulatory system...

Regulation of Regional Economic Law Laws Incorporating Adaptive Differential Evolutionary Algorithms from a Blockchain Perspective

Data publikacji: 17 paź 2023

Zakres stron: -

Otrzymano: 21 gru 2022

Przyjęty: 27 kwi 2023

DOI: https://doi.org/10.2478/amns.2023.2.00660

Słowa kluczowe
Blockchain, Differential evolutionary algorithm, Visual analysis, Antitrust litigation system, Digital currency

© 2023 Lihong Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Regulation of Regional Economic Law Laws Incorporating Adaptive Differential Evolutionary Algorithms from a Blockchain Perspective

Data publikacji: 17 paź 2023

Zakres stron: -

Otrzymano: 21 gru 2022

Przyjęty: 27 kwi 2023

DOI: https://doi.org/10.2478/amns.2023.2.00660

Słowa kluczoweBlockchain, Differential evolutionary algorithm, Visual analysis, Antitrust litigation system, Digital currency

© 2023 Lihong Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Blockchain, Differential evolutionary algorithm, Visual analysis, Antitrust litigation system, Digital currency