The study examines the intention of stock investors to adopt robo-advisers (also known as automated investing services) in financial investment decisions. Using an adapted questionnaire, we analyze data from 637 useable surveys. The study uses variance-based partial least squares structural...

This paper shows how the problem of mean-downside risk portfolio allocation can be cast in terms of penalized least squares (PLS). The penalty is given by a power function of the returns below a certain threshold. We derive the asymptotic properties of the PLS estimator, allowing for possible...

We develop a methodology for estimating and testing the effect of anomalies in conditional asset pricing models when premia are time-varying. Our method, which builds on the two-pass methodology, is developed for ordinary and weighted least-squares estimation, considering both cases of correct...