A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies
Year of publication: |
2023
|
---|---|
Authors: | Trucíos, Carlos ; Taylor, James W. |
Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 42.2023, 4, p. 989-1007
|
Subject: | digital assets | forecast combining | model misspecification | outliers | risk measures | structural breaks | Prognoseverfahren | Forecasting model | Risikomaß | Risk measure | Theorie | Theory | Strukturbruch | Structural break | Statistische Verteilung | Statistical distribution |
-
Forecasting VaR models under different volatility processes and distributions of return innovations
Dendramis, Yiannis, (2014)
-
An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting
Han, Xuyuan, (2022)
-
Testing for multiple regimes in the tail behavior of emerging currency returns
Candelon, Bertrand, (2006)
- More ...
-
Trucíos, Carlos, (2021)
-
A Comparison of Methods for Forecasting Value-at-Risk and Expected Shortfall of Cryptocurrencies
Trucíos, Carlos, (2022)
-
Covariance prediction in large portfolio allocation
Trucíos, Carlos, (2019)
- More ...