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Research on the Formation Mechanism, Contagion Effect and Regulatory Strategy of Digital Asset Price Bubble Risk in the Information Age

   | 09 juil. 2024
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Zhou, Z., Li, R., Cao, Y., Zheng, L., & Xiao, H. (2020). Dynamic performance evaluation of blockchain technologies. IEEE Access, 8, 217762-217772. Search in Google Scholar

Rasheed, A., San, O., & Kvamsdal, T. (2020). Digital twin: values, challenges and enablers from a modeling perspective. IEEE Access, PP(99), 1-1. Search in Google Scholar

Wattis, Z., Murray, P., Baldan, O., Johnson, M., & Spitzenberger, C. (2021). Asset digital twins: integrating process safety risks. Chemical Engineering Progress(11), 117. Search in Google Scholar

Schuster, E. (2021). Building a blockchain-based decentralized digital asset management system for commercial aircraft leasing. Computers in Industry, 126(March), 103393. Search in Google Scholar

Batini, Carlo, Castelli, Marco, Viscusi, & Gianluigi, et al. (2018). Digital information asset evaluation: a case study in manufacturing. The data base for advances in information systems, 49(3), 19-33. Search in Google Scholar

Shang, D., Yan, Z., Zhang, L., & Cui, Z. (2023). Digital financial asset price fluctuation forecasting in digital economy era using blockchain information: a reconstructed dynamic-bound levenberg-marquardt neural-network approach. Expert Syst. Appl., 228, 120329. Search in Google Scholar

Jacobs, M. (2017). Asset price bubbles and the quantification of credit risk capital with sensitivity analysis, empirical implementation and an application to stress testing. Journal of Risk Model Validation, 11(4). Search in Google Scholar

Markus, B., Simon, R., & Isabel, S. (2020). Asset price bubbles and systemic risk. Review of Financial Studies. Search in Google Scholar

Khan, K. (2023). When will the lumber price bubble burst?. Journal of Forest Economics. Search in Google Scholar

Jarrow, R., & Protter, P. (2019). A rational asset pricing model for premiums and discounts on closed-end funds: the bubble theory. Mathematical Finance. Search in Google Scholar

Botsch, M., & Jalil, A. (2020). A new chronology of us asset price bubbles, 1825-1929. The Journal of Economic History(2), 80. Search in Google Scholar

Miao, Jianjun, Wang, & Pengfei. (2018). Asset bubbles and credit constraints. American Economic Review. Search in Google Scholar

Jarrow, R. A., & Kwok, S. S. (2023). An explosion time characterization of asset price bubbles. International Review of Finance, 23(2), 469-479. Search in Google Scholar

Rabinovich, S. (2017). Revisiting multiplicity of bubble equilibria in a search model with posted prices. B.e.journal of Theoretical Economics, 17(1), 1-15. Search in Google Scholar

Füllbrunn, Sascha, & Neugebauer, T. (2022). Testing market regulations in experimental asset markets – the case of margin purchases. Journal of Economic Behavior & Organization, 200. Search in Google Scholar

Shin, J. K., & Subramanian, C. (2019). Asset price bubbles and technological innovation. Economic Inquiry, 57(1). Search in Google Scholar

Jarrow, R. A. (2017). Asset price bubbles and risk management. Journal of Risk, 20(1), 59-76. Search in Google Scholar

Cherrington, M., Lu, J., Xu, Q., Airehrour, D., & Wade, S. (2021). The digital asset management microcosm: a high-dimensional new zealand view. International journal of comadem(2), 24. Search in Google Scholar

Stojanovi, N. (2021). An approach for realizing hybrid digital twins using asset administration shells and apache streampipes. Information, 12. Search in Google Scholar

Evans, N., & Price, J. (2020). Development of a holistic model for the management of an enterprise’s information assets. International Journal of Information Management, 54. Search in Google Scholar

Aggarwal, V. (2022). Optimum investor portfolio allocation in new age digital assets. International journal of innovation science. Search in Google Scholar

Francesca Biagini, Andrea Mazzon, Thilo Meyer Brandis & Katharina Oberpriller. (2023). Liquidity Based Modeling of Asset Price Bubbles via Random Matching.SIAM Journal on Financial Mathematics(4), 1304-1342. Search in Google Scholar

Higgins Matthew L. & Ofori Acheampong Frank. (2018). A Markov Regime-Switching Model with Time-Varying Transition Probabilities for Identifying Asset Price Bubbles.International Journal of Economics and Finance(4), 1-1. Search in Google Scholar

Jacobs, Jr. Michael. (2023). The Detection of Asset Price Bubbles in the Cryptocurrency Markets with an Application to Risk Management and the Measurement of Model Risk.International Journal of Economics and Finance(7), 46-. Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
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Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics