Showing 1 - 10 of 35,531
authors apply a new concept called relevance to estimate regime-specific expected returns, standard deviations, and … correlations. Their relevance-based approach explicitly accounts for the importance of an observation to forming an estimate, and …
Persistent link: https://www.econbiz.de/10014348956
Persistent link: https://www.econbiz.de/10014583528
Persistent link: https://www.econbiz.de/10014464533
This chapter uses the marginal treatment effect (MTE) to unify and organize the econometric literature on the evaluation of social programs. The marginal treatment effect is a choice-theoretic parameter that can be interpreted as a willingness to pay parameter for persons at a margin of...
Persistent link: https://www.econbiz.de/10014024944
The paper considers the task of selecting a flexible nonlinear model which can be used as a baseline model. The baseline model may be used as a testing ground for more structural models which are congruent with economic theory. From the limited empirical evidence obtained here it is tentatively...
Persistent link: https://www.econbiz.de/10014195727
We introduce two neural network models designed for application in statistical learning. The mean-variance neural network regression model allows us to simultaneously model the mean and the variance of a response variable. In case of a two-dimensional response vector, the...
Persistent link: https://www.econbiz.de/10014104671
Predictive regressions are linear specifications linking a noisy variable such as stock returns to past values of a more persistent regressor with the aim of assessing the presence of predictability. Key complications that arise are the potential presence of endogeneity and the poor adequacy of...
Persistent link: https://www.econbiz.de/10013130031
An important role in ensuring effective forms of management and increasing competitiveness is played by the process of forecasting the activity of the enterprise. This work analyzed the performance of a food industry enterprise, for which a wide range of statistical methods were applied such as...
Persistent link: https://www.econbiz.de/10012588937
This paper studies the time-varying parameter (TVP) regression model in which the regression coefficients are random walk latent states with time dependent conditional variances. This TVP model is flexible to accommodate a wide variety of timevariation patterns but requires effective shrinkage...
Persistent link: https://www.econbiz.de/10013219850
In this paper, we provide an exact finite sample analysis of predictive regressions with overlapping long-horizon returns. This analysis allows us to evaluate the reliability of various asymptotic theories for predictive regressions in finite samples. In addition, our finite sample analysis...
Persistent link: https://www.econbiz.de/10012593767