Score function scaling for QAR plus Beta-t-EGARCH : an empirical application to the S&P 500
Year of publication: |
2024
|
---|---|
Authors: | Ayala, Astrid Loretta ; Blazsek, Szabolcs ; Licht, Adrian |
Published in: |
Applied economics. - New York, NY : Routledge, ISSN 1466-4283, ZDB-ID 1473581-7. - Vol. 56.2024, 31, p. 3684-3697
|
Subject: | Dynamic conditional score (DCS) | generalized autoregressive score (GAS) | scaling parameters of the conditional score function | quasi-autoregressive (QAR) model | Beta-t-EGARCH (exponential generalized autoregressive conditional heteroscedasticity) model | Schätztheorie | Estimation theory | ARCH-Modell | ARCH model | Zeitreihenanalyse | Time series analysis | Schätzung | Estimation |
-
Improved gradient scaling for score-driven filters with an application to stock market volatility
Blazsek, Szabolcs, (2025)
-
Dynamic conditional score models : a review of their applications
Blazsek, Szabolcs, (2020)
-
Blazsek, Szabolcs, (2024)
- More ...
-
Score-driven panel data models of the capital structure of US firms
Ayala, Astrid Loretta, (2021)
-
Blazsek, Szabolcs, (2018)
-
Blazsek, Szabolcs, (2018)
- More ...