In the paper we propose a new methodological approach to core in- flation estimation, based on a frequency domain principal components estimator, suited to estimate systems of fractionally cointegrated processes. The proposed core inflation measure is the scaled common persistent factor in...

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...

In this paper a small-scale macroeconomic system is estimated in the framework of a common trends model, in order to explore the dynamic interactions between real house prices, consumption expenditure and output in the US and major European economies. The results point to important differences...

The recent financial crisis has highlighted the fragility of the US (and other countries') financial system under several respects. In this paper, the properties of a summary index of financial fragility, obtained by combining information conveyed by the "Agency," "Ted" and "BAA-AAA" spreads,...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...

Many previous analyses of inflation have used either long memory or nonlinear time series models. This paper suggests a simple adaptive modification of the basic ARFIMA model, which uses a Flexible Fourier Form to allow for a time varying intercept. Simulation evidence suggests the model...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...