We develop a conditional factor model for the term structure of treasury bonds, which unifies non parametric curve estimation with cross-sectional asset pricing. Our factors correspond to the optimal non-parametric basis functions spanning the discount curve. They are investable portfolios...

In this paper we use two different non-parametric methods to disentangle the role of Great Recession on income polarization in Italy by population groups (gender, occupational status, education, age, residential area and state of birth). By using data from the Survey on Household Income and...

In this paper we use two different non-parametric methods to disentangle the role of Great Recession on income polarization in Italy by population groups (gender, occupational status, education, age, residential area and state of birth). By using data from the Survey on Household Income and...

The paper shows a new non-parametric test, based on symbolic entropy, which permits detect spatial causality in cross-section data. The test is robust to the functional form of the relation and has a good behaviour in samples of medium to large size. We illustrate the use of test with the case...

The models from the GARCH family are often estimated by maximum likelihood method, either parametrically or non-parametrically. Since the parametric estimation procedure is based on an a priori distribution, its misspecification can lead to the inconsistency of the estimators. Therefore...