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Motivated by the need for an unbiased and positive-semidefinite estimator of multivariate realized covariance matrices, we model noisy and asynchronous ultra-high-frequency asset prices in a state-space framework with missing data. We then estimate the covariance matrix of the latent states...
Persistent link: https://www.econbiz.de/10009653426
In this paper we propose a methodology to estimate a dynamic factor model on data sets with an arbitrary pattern of missing data. We modify the Expectation Maximisation (EM) algorithm as proposed for a dynamic factor model by Watson and Engle (1983) to the case with general pattern of missing...
Persistent link: https://www.econbiz.de/10011605235
This paper describes a way of constructing an ECM algorithm such that it converges at the rate of the EM algorithm. The approach is motivated by the well known conjugate directions algorithm, and a special case of it is when the parameters corresponding to different CM steps are orthogonal....
Persistent link: https://www.econbiz.de/10011968015
When data are missing at random, the missing-data mechanism can be ignored but this assumption is not always intuitive for general patterns of missing data. In part I, we consider maximum likelihood (ML) estimation for a non-ignorable mechanism which is called almost missing at random (AMAR). We...
Persistent link: https://www.econbiz.de/10009476653
Persistent link: https://www.econbiz.de/10010418134
Persistent link: https://www.econbiz.de/10012064759
This paper develops an EM algorithm for the estimation of a consumer demand system involving variably aggregated data. The methodology is based on the observation that more highly aggregated data does in fact contain information on the finer subcategories. It is therefore possible, under certain...
Persistent link: https://www.econbiz.de/10005087578
This paper describes a way of constructing an ECM algorithm such that it converges at the rate of the EM algorithm. The approach is motivated by the well known conjugate directions algorithm, and a special case of it is when the parameters corresponding to different CM steps are orthogonal....
Persistent link: https://www.econbiz.de/10004980575
In this paper we propose a methodology to estimate a dynamic factor model on data sets with an arbitrary pattern of missing data. We modify the Expectation Maximisation (EM) algorithm as proposed for a dynamic factor model by Watson and Engle (1983) to the case with general pattern of missing...
Persistent link: https://www.econbiz.de/10008459128
In this paper a Taylor rule including the exchange rate gap is estimated for Switzerland under the assumption that the parameters depend on two states governed by a Markov switching process. The estimates suggest the presence of an ordinary and an aggressive regime. The former is characterized...
Persistent link: https://www.econbiz.de/10011933197