Defence date: 6 March 2008Examining Board: Supervisor: Anindya Banerjee Second reader: Helmut LuetkepohlFirst made available online 2 June 2015.This thesis addresses the issue of the relative performance of dynamic factor models in finite samples in the presence of structural breaks. It extends an existing literature by considering new data sets and evaluating finite sample properties of dynamic factor models and factor-augmented VARs and VECMs in Monte Carlo exercises. Chapter 1 Forecasting Emerging Market Indicators: Brazil and Russia Chapter 2 Co-Breaking and Forecasting Performance of Factor Models Chapter 3 Factor Augmented Error Correction Model
We present a comparison of the forecasting performances of three Dynamic Factor Models on a large mo...
In this doctoral thesis, we compare the forecasting performance of three dynamic factor models on ma...
This chapter brings together several important strands of the econometrics literature: error-correct...
First made available online 2 June 2015.Defence date: 6 March 2008Examining Board: Supervisor: Anind...
This chapter assesses forecasts constructed using dynamic factor models for their reliability in the...
Dynamic Factor Models (DFMs) allow to take advantage of the information provided by a large dataset,...
This article surveys work on a class of models, dynamic factor models (DFMs), that has received cons...
We build a small-scale factor model for Latvia’s GDP to study the exact dynamic versus static factor...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
Dynamic factor models (DFMs), which assume the existence of a small number of unobserved underlying ...
This thesis deals with the development and application of new estimation approaches based on factor ...
We consider new empirical applications of factor models, based on recent methodological advances in ...
We present a comparison of the forecasting performances of three Dynamic Factor Models on a large mo...
In this doctoral thesis, we compare the forecasting performance of three dynamic factor models on ma...
This chapter brings together several important strands of the econometrics literature: error-correct...
First made available online 2 June 2015.Defence date: 6 March 2008Examining Board: Supervisor: Anind...
This chapter assesses forecasts constructed using dynamic factor models for their reliability in the...
Dynamic Factor Models (DFMs) allow to take advantage of the information provided by a large dataset,...
This article surveys work on a class of models, dynamic factor models (DFMs), that has received cons...
We build a small-scale factor model for Latvia’s GDP to study the exact dynamic versus static factor...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Ban...
Dynamic factor models (DFMs), which assume the existence of a small number of unobserved underlying ...
This thesis deals with the development and application of new estimation approaches based on factor ...
We consider new empirical applications of factor models, based on recent methodological advances in ...
We present a comparison of the forecasting performances of three Dynamic Factor Models on a large mo...
In this doctoral thesis, we compare the forecasting performance of three dynamic factor models on ma...
This chapter brings together several important strands of the econometrics literature: error-correct...