In this paper, we apply textual analysis and machine learning algorithms to construct an index capturing trade tensions between US and China. Our indicator matches well-known events in the US-China trade dispute and is exogenous to the developments on global financial markets. By means of local...

In this paper, we apply textual analysis and machine learning algorithms to construct an index capturing trade tensions between US and China. Our indicator matches well-known events in the US-China trade dispute and is exogenous to the developments on global financial markets. By means of local...

In this paper, we apply textual analysis and machine learning algorithms to construct an index capturing trade tensions between US and China. Our indicator matches well-known events in the US-China trade dispute and is exogenous to the developments on global financial markets. By means of local...

We show that the Brazilian trade liberalization in the early 1990s led to a permanent relative decline in the vote share of left-wing presidential candidates in the regions more affected by the tariff cuts. This happened even though the shock, implemented by a right-wing party, induced a...

We show that the Brazilian trade liberalization in the early 1990s led to a permanent relative decline in the vote share of left-wing presidential candidates in the regions more affected by the tariff cuts. This happened even though the shock, implemented by a right-wing party, induced a...

We show that the Brazilian trade liberalization in the early 1990s led to a permanent relative decline in the vote share of left-wing presidential candidates in the regions more affected by the tariff cuts. This happened even though the shock, implemented by a right-wing party, induced a...

We show that the Brazilian trade liberalization in the early 1990s led to a permanent relative decline in the vote share of left-wing presidential candidates in the regions more affected by the tariff cuts. This happened even though the shock, implemented by a right-wing party, induced a...

When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on realised or bipower variation are applied. This article instead starts from a continuous time diffusion model and derives a parametric analog at high frequency for it, allowing...

This paper surveys the literature on the linkages between asset prices and macroeconomic outcomes. It focuses on three major questions. First, what are the basic theoretical linkages between asset prices and macroeconomic outcomes? Second, what is the empirical evidence supporting these...

When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on realised or bipower variation are applied. This article instead starts from a continuous time diffusion model and derives a parametric analog at high frequency for it, allowing...