Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

The purpose of this article is to observe the relationship that exists between the variation of the ICCV and ICCP with respect to the prices of the variable income shares of the construction companies listed in the Colombian Stock Exchange [BVC]. In order to make this observation, it was...

The purpose of this article is to observe the relationship that exists between the variation of the ICCV and ICCP with respect to the prices of the variable income shares of the construction companies listed in the Colombian Stock Exchange [BVC]. In order to make this observation, it was...

With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

This paper analyzes a class of stochastic endogenous growth models with uninsurable idiosyncratic income risk. The model economy is populated by infinitely-lived households who own and operate their own business, work for a stock company, and participate in stock and bond markets. Households...