Clustering financial time series : new insights from an extended hidden Markov model
| Year of publication: |
2015
|
|---|---|
| Authors: | Dias, José G. ; Vermunt, Jeroen K. ; Ramos, Sofia B. |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 243.2015, 3 (16.6.), p. 852-864
|
| Subject: | Data mining | Hidden Markov model | Stock indexes | Latent class model | Regime-switching model | Markov-Kette | Markov chain | Data Mining | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Schätzung | Estimation | ARCH-Modell | ARCH model | Aktienindex | Stock index | Volatilität | Volatility |
-
Empirical analysis of stock indices under a regime-switching model with dependent jump size risks
Hsu, Yuan-Lin, (2016)
-
Gao, Guangyuan, (2020)
-
Zeitlberger, Alexander C. M., (2016)
- More ...
-
The cyclical behaviour of commodities
Pereira, Marcelo, (2017)
-
An analysis of industry regimes synchronization in the Eurozone
Dias, José G., (2015)
-
Banking industry performance in the wake of the global financial crisis
Bhimjee, Diptes C. P., (2016)
- More ...