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...

I use the consumer’s budget constraint to derive a relationship between stock market returns, the residuals of the trend relationship among consumption, aggregate wealth, and labour income, cay, and three major sources of risk: future changes in the housing consumption share, cr, future labour...

Despite the widespread use of the GARCH model, the specification of the heteroscedasticity is essentially ad hoc. This paper's contribution is to develop a model of asset pricing and learning where GARCH disturbances evolve naturally out of the decision problem of economic agents. An empirical...