Volatility forecasting using quasi-score-driven models with an application to the coronavirus pandemic period
| Year of publication: |
2024
|
|---|---|
| Authors: | Ayala, Astrid ; Blazsek, Szabolcs ; Licht, Adrian |
| Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 28.2024, 5, p. 785-805
|
| Subject: | coronavirus disease 2019 (COVID-19) pandemic | dynamic conditional score (DCS) model | generalized autoregressive score (GAS) model | quasi-score-driven models | Coronavirus | Epidemie | Epidemic | Prognoseverfahren | Forecasting model | Volatilität | Volatility | ARCH-Modell | ARCH model | Modellierung | Scientific modelling |
-
Volatility of the USD/CHF exchange rate at the beginning of the COVID-19 pandemic
Gaweł, Anna, (2025)
-
Alan, Nazli Sila, (2020)
-
Predicting crude oil prices during a pandemic : a comparison of Arima and Garch models
Haque, Mohammad Imdadul, (2021)
- More ...
-
Blazsek, Szabolcs, (2025)
-
Ayala, Astrid, (2022)
-
Ayala, Astrid, (2023)
- More ...