Essays on financial time series with a focus on high-frequency data
Year of publication: |
2020
|
---|---|
Authors: | Becker, Janis |
Other Persons: | Sibbertsen, Philipp (degree supervisor) ; Prokopczuk, Marcel (degree supervisor) |
Institutions: | Gottfried Wilhelm Leibniz Universität Hannover (degree granting) |
Publisher: |
Hannover : Gottfried Wilhelm Leibniz Universität Hannover |
Subject: | Fractional Cointegration | High-Frequency Data | Long Memory | Persistence | Return Predictability | Realized Variance | Squared Returns | Volatility | Volatilität | Zeitreihenanalyse | Time series analysis | Schätzung | Estimation | Kapitaleinkommen | Capital income | Prognoseverfahren | Forecasting model | Börsenkurs | Share price | ARCH-Modell | ARCH model | Kointegration | Cointegration | Varianzanalyse | Analysis of variance | ARMA-Modell | ARMA model | Schätztheorie | Estimation theory |
-
Modeling and forecasting S&P 500 volatility : long memory, structural breaks and nonlinearity
Martens, Martin, (2004)
-
Mohy El Din, Tarek, (1997)
-
Doblas, Mark P., (2023)
- More ...
-
Becker, Janis, (2019)
-
Becker, Janis, (2019)
-
Becker, Janis, (2021)
- More ...