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Τίτλος: Stochastic properties and pricing of bitcoin using a GJR-GARCH model with conditional skewness and kurtosis components
Συγγραφείς: Theodossiou, Panayiotis 
Ellina, Polina 
Savva, Christos S. 
Major Field of Science: Social Sciences
Field Category: Economics and Business
Λέξεις-κλειδιά: Conditional skewness and kurtosis;Skewness price of risk;Upside and downside market probabilities;Skewed generalized error distribution
Ημερομηνία Έκδοσης: 1-Αυγ-2022
Πηγή: Review of Quantitative Finance and Accounting, 2023, vol. 59, no. 2, pp. 695–716
Volume: 59
Issue: 2
Start page: 695
End page: 716
Περιοδικό: Review of Quantitative Finance and Accounting 
Περίληψη: 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
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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