This thesis explores the important link between macroeconomic dynamics and the financial sector. The first essay studies Epstein-Zin preferences, which are found to be able to account for both aggregate macroeconomic dynamics and asset prices. In the first essay, I compare different solution...

After conceptual clarification of "international business cycle" and a review of the literature, a new indicator is proposed. This indicator refers to two time series only and allows for an interna-tionally comparable quantification of a country's position in the business cycle. We then...

Con el objetivo de analizar la transmisión de las fluctuaciones internacionales de los ciclos económicos, se propone un modelo de factores dinámicos multinivel con estructura de bloques en el que: i) no se restringe a los factores a ser ortogonales, y ii) se permite mezclar series de...

Versión actualizada (mayo 2019) ; Las grandes empresas de Estados Unidos, al difundir tecnología a través del comercio de intermedios, parecen ser clave para la producción de Europa en el medio plazo. De cara a explicar esta evidencia, el presente trabajo desarrolla un modelo de dos países...

La correlación entre los ciclos económicos depende del estado de la economía y es más alta en recesiones que en expansiones. En este documento sugiero un mecanismo para explicar la causa. Para este propósito, construyo un modelo de ciclo económico real internacional con restricciones de...

This dissertation presents two essays on Markov-Switching dynamic stochastic general equilibrium models. The first essay is "Perturbation Methods for Markov-Switching Models," which is co-authored with Juan Rubio-Ramirez, Dan Waggoner, and Tao Zha. This essay develops an perturbation-based...

We use a general Markov switching model to examine the relationships between returns over three different asset classes: financial assets (U.S. stocks and Treasury bonds), commodities (oil and gold) and real estate assets (U.S. Case-Shiller index). We confirm the existence of two distinct...

Time series monitoring methods, such as the Brown and Trigg methods, have the purpose of detecting pattern breaks (or “signals”) in time series data reliably and in a timely fashion. Traditionally, researchers have used the average run length statistic (ARL) on results from generated signal...

A structural break is viewed as a permanent change in the parameter vector of a model. Using taxonomies of all sources of forecast errors for both conditional mean and conditional variance processes, we consider the impacts of breaks and their relevance in forecasting models: (a) where the...

The price transmission between markets is often interpreted as providing insights into the market’s infrastructure efficiency and transaction costs. Thus, finding a possible explanation for the degree of integration has become an issue of special interest. Recent researchers have pointed out...