Event-study analysis by using dynamic conditional score models
Year of publication: |
September 2017
|
---|---|
Authors: | Blazsek, Szabolcs ; Monteros, Luis Antonio |
Published in: |
Applied economics. - Abingdon : Routledge, ISSN 0003-6846, ZDB-ID 280176-0. - Vol. 49.2017, 45, p. 4530-4541
|
Subject: | dynamic conditional score (DCS) models | event-study analysis | quasi-ARMA (QARMA) | Beta-t-EGARCH | density forecasts | value-at-risk | Prognoseverfahren | Forecasting model | Risikomaß | Risk measure | ARCH-Modell | ARCH model | Schätzung | Estimation |
-
Score-driven Markov-switching EGARCH models : an application to systematic risk analysis
Blazsek, Szabolcs, (2018)
-
Macro-driven VaR forecasts : from very high to very low-frequency data
Dominicy, Yves, (2015)
-
Dynamic conditional score models of degrees of freedom : filtering with score-driven heavy tails
Blazsek, Szabolcs, (2017)
- More ...
-
Dynamic conditional score models of degrees of freedom : filtering with score-driven heavy tails
Blazsek, Szabolcs, (2017)
-
Score-driven currency exchange rate seasonality as applied to the Guatemalan Quetzal/US Dollar
Ayala, Astrid, (2019)
-
Blazsek, Szabolcs, (2010)
- More ...