In this paper we extend the targeted-regressor approach suggested in Bai and Ng (2008) for variables sampled at the same frequency to mixed-frequency data. Our MIDASSO approach is a combination of the unrestricted MIxed-frequency DAta-Sampling approach (U-MIDAS) (see Foroni et al., 2015; Castle et al., 2009; Bec and Mogliani, 2013), and the LASSO-type penalised regression used in Bai and Ng (2008), called the elastic net (Zou and Hastie, 2005). We illustrate our approach by forecasting the quarterly real GDP growth rate in Switzerland
The authors propose a new method to forecast macroeconomic variables that combines two existing appr...
This paper proposes a mixed-frequency error-correction model in order to develop a regression approa...
Abstract: In this paper we intend to forecast the economic growth of Singapore by employing mixed fr...
Defence date: 7 September 2012; Examining Board: Professor Massimiliano Marcellino, EUI, Supervisor;...
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF- VAR) approaches to...
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to m...
Many macroeconomic series, such as U.S. real output growth, are sampled quarterly, although potentia...
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to m...
Many macroeconomic series, such as U.S. real output growth, are sampled quarterly, although potentia...
Most macroeconomic activity series such as Swedish GDP growth are collected quarterly while an impor...
We combine the issues of dealing with variables sampled at mixed frequencies and the use of real-tim...
This paper merges two specifications recently developed in the forecasting literature: the MS-MIDAS ...
Although many macroeconomic series such as US real output growth are sampled quarterly, many potenti...
The literature on mixed-frequency models is relatively recent and has found applications across econ...
In this paper, we focus on the different methods which have been proposed in the literature to date ...
The authors propose a new method to forecast macroeconomic variables that combines two existing appr...
This paper proposes a mixed-frequency error-correction model in order to develop a regression approa...
Abstract: In this paper we intend to forecast the economic growth of Singapore by employing mixed fr...
Defence date: 7 September 2012; Examining Board: Professor Massimiliano Marcellino, EUI, Supervisor;...
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF- VAR) approaches to...
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to m...
Many macroeconomic series, such as U.S. real output growth, are sampled quarterly, although potentia...
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to m...
Many macroeconomic series, such as U.S. real output growth, are sampled quarterly, although potentia...
Most macroeconomic activity series such as Swedish GDP growth are collected quarterly while an impor...
We combine the issues of dealing with variables sampled at mixed frequencies and the use of real-tim...
This paper merges two specifications recently developed in the forecasting literature: the MS-MIDAS ...
Although many macroeconomic series such as US real output growth are sampled quarterly, many potenti...
The literature on mixed-frequency models is relatively recent and has found applications across econ...
In this paper, we focus on the different methods which have been proposed in the literature to date ...
The authors propose a new method to forecast macroeconomic variables that combines two existing appr...
This paper proposes a mixed-frequency error-correction model in order to develop a regression approa...
Abstract: In this paper we intend to forecast the economic growth of Singapore by employing mixed fr...