Cargando…
Separating information maximum likelihood method for high-frequency financial data
This book presents a systematic explanation of the SIML (Separating Information Maximum Likelihood) method, a new approach to financial econometrics. Considerable interest has been given to the estimation problem of integrated volatility and covariance by using high-frequency financial data. Althoug...
Autores principales: | Kunitomo, Naoto, Sato, Seisho, Kurisu, Daisuke |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2018
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-4-431-55930-6 http://cds.cern.ch/record/2628671 |
Ejemplares similares
-
Information bounds and nonparametric maximum likelihood estimation
por: Groeneboom, Piet, et al.
Publicado: (1992) -
Maximum Penalized Likelihood Estimation
por: LaRiccia, Vincent N, et al.
Publicado: (2009) -
Maximum likelihood estimation of functional relationships
por: Nagelkerke, Nico J D
Publicado: (1992) -
Econometrics of financial high-frequency data
por: Hautsch, Nikolaus
Publicado: (2011) -
Maximum likelihood estimators for inverse problems with nuisance parameters
por: Bindslev, H
Publicado: (1997)