This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of insights from the multiple testing literature. The method tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...

This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of...

This paper considers the problem of forecasting real and financial macroeconomic variables across a large number of countries in the global economy. To this end a global vector autoregressive (GVAR) model previously estimated over the 1979Q1-2003Q4 period by Dees, de Mauro, Pesaran, and Smith...

This paper focuses on testing long run macroeconomic relations for interest rates, equity, prices and exchange rates suggested by arbitrage in financial and goods markets. It uses the global vector autoregressive (GVAR) model to test for long run restrictions in each country/region conditioning...

This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while...

The paper attempts to verify whether equity returns of individual firms, and their realized volatilities, improve the in-sample and out-of-sample predictability of the US business cycle, as measured by the IP index VAR analysis and tests for forecasting ability The equity returns of individual...

As a major player in world trade, the euro area is strongly influenced by globalisation, but is far from being a passive spectator. The paper analyses how the euro area's trade specialization has changed in response to stronger international competition and the emergence of new global players,...

Sufficiently fast and large disruptions to the continuous price process are referred to as jumps. Cojumping arises when jumps occur contemporaneously across assets. This paper finds significant evidence of jumps and cojumps in the US term structure using the Cantor-Fitzgerald tick dataset...

Sufficiently fast and large disruptions to the continuous price process are referred to as jumps. Cojumping arises when jumps occur contemporaneously across assets. This paper finds significant evidence of jumps and cojumps in the US term structure using the Cantor-Fitzgerald tick dataset...

Economists have recognized the possibility that a time series may change structure from trend-stationarity to difference-stationarity, or vice versa. Taking difference-stationarity as the null hypothesis, we develop tests for this possibility, where neither the location nor direction of any...