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I consider linear panel data models with unobserved factor structures when the number of time periods is small relative to the number of cross-sectional units. I examine two popular methods of estimation: the first eliminates the factors with a parameterized quasi-long-differencing (QLD)...
Persistent link: https://www.econbiz.de/10013556881
The shocks in structural vector autoregressive (VAR) analysis are typically assumed to be instantaneously uncorrelated. This condition may easily be violated in proxy VAR models if more than one shock is identified by a proxy variable. Correlated shocks may be obtained even if the proxies are...
Persistent link: https://www.econbiz.de/10014633772
Let a high-dimensional random vector ⃗X can be represented as a sum of two components - a signal ⃗S , which belongs to some low-dimensional subspace S, and a noise component ⃗N . This paper presents a new approach for estimating the subspace S based on the ideas of the Non-Gaussian...
Persistent link: https://www.econbiz.de/10008663366
Most of the available monthly interest data series consist of monthlyaverages of daily observations. It is well-known that this averaging introduces spurious autocorrelation effectsin the first differences of the series. It isexactly this differenced series we are interested in when...
Persistent link: https://www.econbiz.de/10011303868
show that the correlation may increase or decrease the variances of the estimators. There are several factors that … influence how correlation affects the variance of the estimators, including the choice of estimator, the strength of the …
Persistent link: https://www.econbiz.de/10010479992
almost all these papers ignore the bias in the estimated standard errors that serial correlation introduces. This is …
Persistent link: https://www.econbiz.de/10001620672
We address some issues that arise with the Dynamic Conditional Correlation (DCC) model. We prove that the DCC large … system estimator (DCC estimator) can be inconsistent, and that the traditional interpretation of the DCC correlation … parameters can lead to misleading conclusions. We then suggest a more tractable dynamic conditional correlation model (cDCC model …
Persistent link: https://www.econbiz.de/10013134164
-frequency intraday returns. It disentangles covariance estimation into variance and correlation components. This allows to estimate …
Persistent link: https://www.econbiz.de/10013115577