Measuring and Quantifying Uncertainty in Volatility Spillovers: A Bayesian Approach
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| Veröffentlicht in: | Data science in science 2023-12, Vol.2 (1) |
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| container_title | Data science in science |
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| creator | Shapovalova, Yuliya Eichler, Michael |
| description | |
| doi_str_mv | 10.1080/26941899.2023.2176379 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 2694-1899 |
| ispartof | Data science in science, 2023-12, Vol.2 (1) |
| issn | 2694-1899 2694-1899 |
| language | eng |
| recordid | cdi_crossref_primary_10_1080_26941899_2023_2176379 |
| source | Taylor & Francis Open Access; DOAJ Directory of Open Access Journals |
| title | Measuring and Quantifying Uncertainty in Volatility Spillovers: A Bayesian Approach |
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