On modelling and forecasting predictable components in European stock markets
Year of publication: |
October 2016
|
---|---|
Authors: | Kiani, Khurshid M. |
Published in: |
Computational economics. - Dordrecht [u.a.] : Springer, ISSN 0927-7099, ZDB-ID 1142021-2. - Vol. 48.2016, 3, p. 487-502
|
Subject: | Predictable component | State space model | Fat tails | Stable distributions | Stock excess returns | European stock markets | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Aktienmarkt | Stock market | Zustandsraummodell | Börsenkurs | Share price | Europa | Europe | Statistische Verteilung | Statistical distribution | Schätzung | Estimation | Theorie | Theory | Prognose | Forecast | Zeitreihenanalyse | Time series analysis | ARCH-Modell | ARCH model |
-
Performance of the multifractal model of asset returns (MMAR) : evidence from emerging stock markets
Günay, Samet, (2016)
-
Autocorrelation in an unobservable global trend : does it help to forecast market returns?
Peresetsky, Anatoly A., (2017)
-
Barnett, William A., (2023)
- More ...
-
Forecast performance of neural networks and business cycle asymmetries
Kiani, Khurshid M., (2005)
-
Federal budget deficits and long-term interest rates in USA
Kiani, Khurshid M., (2009)
-
No Predictable Components in G7 Stock Returns
Bidarkota, Prasad, (2004)
- More ...