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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
variables. And they measure the likelihood that these paths will prevail in the future based on their statistical similarity to …
Persistent link: https://www.econbiz.de/10012245036
values of the dependent variable in which the weights are the relevance of the independent variables. This equivalence allows …
Persistent link: https://www.econbiz.de/10012225139
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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
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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
Investors typically measure an asset’s potential to diversify a portfolio by its correlations with the portfolio’s other assets, but correlation is useful only if it provides a good estimate of how an asset’s returns co-occur cumulatively with the other asset returns over the investor’s...
Persistent link: https://www.econbiz.de/10014343662