Showing 1 - 10 of 13
The paper investigates linkages between general macroeconomic conditions and the housing market for the G-7 area. Among the key results of the paper, it is found that the US are an important source of global fluctuations not only for real activity, nominal variables and stock prices, but also...
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In the paper the fractionally integrated heteroskedastic factor vec- tor autoregressive (FI-HF-VAR) model is introduced. The proposed approach is characterized by minimal pretesting requirements and sim- plicity of implementation also in very large systems, performing well independently of...
Persistent link: https://www.econbiz.de/10008799372
Motivated by the “shocking” evidence of non-stationary behavior of money market spreads during the crisis, we investigate the economic and statistical features of money market turbulence by means of a Fractionally Integrated Heteroskedastic Factor Vector Autoregressive model. This approach...
Persistent link: https://www.econbiz.de/10008799374
The paper aims at assessing the mechanics of the Great Recession, considering both its domestic propagation within the US, as well as its spillovers to advanced and emerging economies. A total of 50 countries has been investigated by means of a large-scale open economy macroeconometric model,...
Persistent link: https://www.econbiz.de/10008799375
Previous models of monthly CPI inflation time series have focused on possible regime shifts, non-linearities and the feature of long memory. This paper proposes a new time series model, named Adaptive ARFIMA; which appears well suited to describe inflation and potentially other economic time...
Persistent link: https://www.econbiz.de/10004972510
A strategy for estimating, ?filtering and forecasting time-varying factor betas is proposed. The approach is based on the multivariate realized regression principle, an omnibus noise ?filter and an adaptive long memory forecasting model. While the multivariate realized regression approach allows...
Persistent link: https://www.econbiz.de/10004972514