Showing 1 - 10 of 172
Factor construction methods are widely used to summarize a large panel of variables by means of a relatively small …
Persistent link: https://www.econbiz.de/10011257444
Many seasonal macroeconomic time series are subject to changes in their means and variances over a long time horizon. In this paper we propose a general treatment for the modelling of time-varying features in economic time series. We show that time series models with mean and variance functions...
Persistent link: https://www.econbiz.de/10011256745
benefit from recent developments in the dynamic factor literature for extracting the common factors from a large panel of … study we use a monthly time series panel of unsmoothed Fama-Bliss zero yields for treasuries of different maturities between … 1970 and 2009, which we combine with a macro panel of 110 series over the same sample period. We show that the relation …
Persistent link: https://www.econbiz.de/10011256536
This discussion paper led to a publication in the 'Journal of Applied Econometrics'</I>, 2014, 29(1), 65-90.<P> We propose a new approach to the modelling of the term structure of interest rates. We consider the general dynamic factor model and show how to impose smoothness restrictions on the factor...</p>
Persistent link: https://www.econbiz.de/10011257133
This discussion paper has resulted in a publication in the <I>Journal of Business and Economic Statistics<I>.<p>In this discussion paper we introduce time-varying parameters in the dynamic Nelson–Siegel yield curve model for the simultaneous analysis and forecasting of interest rates of different...</p></i></i>
Persistent link: https://www.econbiz.de/10011257546
estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part …
Persistent link: https://www.econbiz.de/10011255481
Kernel ridge regression is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many different contexts. This paper investigates the influence of the choice of kernel and the setting of tuning parameters on forecast accuracy. We review several popular kernels,...
Persistent link: https://www.econbiz.de/10011255762
Market share models for weekly store-level data are useful to understand competitive structures by delivering own and cross price elasticities. These models can however not be used to examine which brands lose share to which brands during a specificperiod of time. It is for this purpose that we...
Persistent link: https://www.econbiz.de/10011256434
We present a simple new methodology to allow for time variation in volatilities using a recursive updating scheme similar to the familiar RiskMetrics approach. We update parameters using the score of the forecasting distribution rather than squared lagged observations. This allows the parameter...
Persistent link: https://www.econbiz.de/10011257169
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011257521