Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29717| Title: | Stochastic properties and pricing of bitcoin using a GJR-GARCH model with conditional skewness and kurtosis components | Authors: | Theodossiou, Panayiotis Ellina, Polina Savva, Christos S. |
Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Keywords: | Conditional skewness and kurtosis;Skewness price of risk;Upside and downside market probabilities;Skewed generalized error distribution | Issue Date: | 1-Aug-2022 | Source: | Review of Quantitative Finance and Accounting, 2023, vol. 59, no. 2, pp. 695–716 | Volume: | 59 | Issue: | 2 | Start page: | 695 | End page: | 716 | Journal: | Review of Quantitative Finance and Accounting | Abstract: | Using a flexible statistical framework that accounts for time-varying skewness and leptokurtosis, we examine the stochastic behavior of Bitcoin in comparison to five major currencies. The empirical findings reveal that the distribution of all series is leptokurtic. Once the effect of skewness-kurtosis is considered, the true price of risk is obtained, with implications on policymakers’ and investors’ strategies. | URI: | https://hdl.handle.net/20.500.14279/29717 | ISSN: | 0924865X | DOI: | 10.1007/s11156-022-01055-x | Rights: | © Springer Nature Switzerland AG. | Type: | Article | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
| Appears in Collections: | Άρθρα/Articles |
CORE Recommender
This item is licensed under a Creative Commons License
