Switching regression models are models that allow parameters of the
conditional distribution, such as the mean and variance, to vary
according to a finite- valued stochastic process with states or
regimes. The regime changes aim at capturing changes in the
underlying financial and economic mechanism through the observed
time series. These models have proven very useful in modeling
economic and financial time series. In this book, we generalized
this modeling approach. We consider models that allow occasional,
recurrent and independent switches in disjoint subsets of the
parameters of the conditional distribution. These are determined by
the realization of several latent state variables. The state
variable probabilities can be constant or change over time. We call
these extended switching regression models. We develop an EM
algorithm for estimation, give conditions for consistency and
asymptotic normality and apply our models to combine conditional
volatility forecasts of several exchange rates. We also consider
the penalized likelihood method for selecting the correct latent
structure of these models.
General
Imprint: |
VDM Verlag
|
Country of origin: |
Germany |
Release date: |
June 2009 |
First published: |
June 2009 |
Authors: |
Arie Preminger
|
Dimensions: |
229 x 152 x 7mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
116 |
ISBN-13: |
978-3-639-15151-0 |
Categories: |
Books
|
LSN: |
3-639-15151-8 |
Barcode: |
9783639151510 |
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