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| Copyright, Publisher and Additional Information: | © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Bayesian methods; Cryptocurrencies; Explosiveness; Quantile SETAR model |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Accounting & Finance Division (LUBS) (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 18 Oct 2021 10:00 |
| Last Modified: | 25 Jun 2023 22:47 |
| Status: | Published |
| Publisher: | Springer |
| Identification Number: | https://doi.org/10.1007/s10479-021-04298-4 |
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