This paper studies volatility spillovers in credit default swaps (CDS) between the corporate sectors and Latin American countries. Daily data from October 14, 2006, to August 23, 2021, are employed. Spillovers are computed both for the raw data and for filtered series which factor out the effect...

Current data provide macroeconomic information for a large number of countries and for a long period of time (macro panels). This causes that in these panels slope heterogeneity and crosssection dependence (CSD) are a rule rather than the exception, leading to fixed effects slope estimators to...

Using dynamic factor models and state-space techniques we quantify financial cycles for twenty European countries over the period 1960Q1–2015Q4 capturing imbalances across credit, housing, bond and equity markets. The paper documents the existence of slow-moving and persistent financial cycles...

This paper studies the role of differences in the patterns of production and international trade on the business cycle volatility of emerging and developed economies. We study a multi-sector small open economy in which firms produce and trade commodities and manufactures. We estimate the model...

Until 2012, the Central Bank of Iran (CBI) used its policy rate to stabilise the rial's exchange rate and, given a persistent current-account surplus, had accumulated sizeable currency reserves. In 2012, however, international sanctions against Iran intensified and the value of the rial halved...

The role of speculators in the oil markets has been vastly investigated during the last few years. Several authors focused on the definition of speculation while others examined the relationship between oil prices and the behavior of trading actors. In this paper, we formulate a new theory able...

This paper presents a new hierarchical methodology for estimating multi factor dynamic asset pricing models. The approach is loosely based on the sequential approach of Fama and MacBeth (1973). However, the hierarchical method uses very flexible bandwidth selection methods in kernel weighted...

The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d'Orey (1987; 1994) to assess which uncertainties are the potential...