Extremes of extremes : risk assessment for very small samples with an exemplary application for cryptocurrency returns
Year of publication: |
2023
|
---|---|
Authors: | Börner, Christoph J. ; Hoffmann, Ingo ; Krettek, Jonas ; Kürzinger, Lars M. ; Schmitz, Tim |
Published in: |
Journal of risk : JOR. - London : Infopro Digital Risk, ISSN 1755-2842, ZDB-ID 2091446-5. - Vol. 26.2023, 1, p. 77-97
|
Subject: | cryptocurrencies | extreme value | risk assessment | scaling laws | small samples | Virtuelle Währung | Virtual currency | Risikomaß | Risk measure | Ausreißer | Outliers | Stichprobenerhebung | Sampling | Statistische Verteilung | Statistical distribution | Risiko | Risk | Portfolio-Management | Portfolio selection |
-
Horizon-adaptive extreme risk quantification for cryptocurrency assets
Tzagkarakis, George, (2023)
-
Empirical evidence of extreme dependence and contagion risk between main cryptocurrencies
Tiwari, Aviral Kumar, (2020)
-
Kurosaki, Tetsuo, (2022)
- More ...
-
On the Return Distributions of a Basket of Cryptocurrencies and Subsequent Implications
Börner, Christoph J., (2021)
-
On the return distributions of a basket of cryptocurrencies and subsequent implications
Börner, Christoph J., (2025)
-
Börner, Christoph J., (2021)
- More ...