This paper uses regression tree analysis to locate changes in the real interest rate process from the early 1950s to the early 1990s. We find important changes in the mean and variance of the process in 1972:Q4, 1980:Q1, and 1986:Q2. Removing the changing mean from the ex post real interest rate...

We study how monetary policy affects bank lending behavior with an unique database and an event-study approach. Using the daily frequencies of interest rates and new loans in our data as a source of identification, we estimate banks´ reactions to monetary policy committee (Copom) decisions and...

This article reviews the exciting and rapidly expanding literature on realized volatility. After presenting a general univariate framework for estimating realized volatilities, a simple discrete time model is presented in order to motivate the main results. A continuous time specification...

This article shows that bagging can improve the forecast accuracy of time series models for realized volatility. We consider 23 stocks from the Dow Jones Industrial Average over the sample period 1995 to 2005 and employ two different forecast models, a log-linear specification in the spirit of...

Statistical Learning refers to statistical aspects of automated extraction of regularities (structure) in datasets. It is a broad area which includes neural networks, regression-trees, nonparametric statistics and sieve approximation, boosting, mixtures of models, computational complexity,...