In this paper, we take a systematic look at global imbalances. First, we provide a definition of the phenomenon, and relate global imbalances to widening external positions of systemically important economies that reflect distortions or entail risks for the global economy. Second, we provide an...

This paper analyses the impact of sovereign wealth funds (SWFs) on global financial markets. It presents back-of-the-envelope calculations which simulate the potential impact of a transfer of traditional foreign exchange reserves to SWFs on global capital flows. If SWFs behave as CAPM-type...

This paper describes in detail the methodology currently used by the European Central Bank (ECB) to determine the nominal and real effective exchange rate indices of the euro. Building on the work of Buldorini et al. (2002), it shows how the ECB’s techniques for calculating effective exchange...

This paper introduces the concepts of time-specific weak and strong cross section dependence. A double-indexed process is said to be cross sectionally weakly dependent at a given point in time, t, if its weighted average along the cross section dimension (N) converges to its expectation in...

This paper extends the analysis of infinite dimensional vector autoregressive models (IVAR) proposed in Chudik and Pesaran (2010) to the case where one of the variables or the cross section units in the IVAR model is dominant or pervasive. This extension is not straightforward and involves...

This paper considers the problem of aggregation in the case of large linear dynamic panels, where each micro unit is potentially related to all other micro units, and where micro innovations are allowed to be cross sectionally dependent. Following Pesaran (2003), an optimal aggregate function is...

This paper extends the Common Correlated Effects (CCE) approach developed by Pesaran (2006) to heterogeneous panel data models with lagged dependent variable and/or weakly exogenous regressors. We show that the CCE mean group estimator continues to be valid but the following two conditions must...

The Global Vector Autoregressive (GVAR) approach has proven to be a very useful approach to analyze interactions in the global macroeconomy and other data networks where both the cross-section and the time dimensions are large. This paper surveys the latest developments in the GVAR modeling,...