State price density (SPD) contains important information concerning market expectations. In existing literature, a constrained estimator of the SPD is found by nonlinear least squares in a suitable Sobolev space. We improve the behavior of this estimator by implementing a covariance structure...

The intuition behind linear regression can be difficult for students to grasp particularly without a readily accessible context. This paper uses basketball statistics to demonstrate the purpose of linear regression and to explain how to interpret its results. In particular, the student will...

Beginning with the recent reorganisation of the principal Italian public research bodies, which has led to the founding of larger labs, this paper evaluates the presence of statistically significant relationships between the dimensions of the research bodies and the performance of the same. The...

We provide general results for the asymptotic variance of regression coefficients computedfrom a sample drawn from a finite population. We encompass the potentialoutcomes and classic regression frameworks allowing for both heterogeneous treatmenteffects and random-across-resampling shocks....

We provide general results for the asymptotic variance of regression coefficients computed from a sample drawn from a finite population. We encompass the potential outcomes and classic regression frameworks allowing for both heterogeneous treatment effects and random-across-resampling shocks....

One innovation defined in the new market risk rules by the Fundamental Review of the Trading Book (FRTB) is the Non-Modellable Risk Factor (NMRF) framework. This new concept introduces a methodology to differentiate between modellable and non-modellable risk factors in the Internal Models...

The bootstrap is a convenient tool for calculating standard errors of the parameter estimates of complicated econometric models. Unfortunately, the bootstrap can be very time-consuming. In a recent paper, Honoré and Hu (2017), we propose a "Poor (Wo)man's Bootstrap" based on one-dimensional...

This paper shows through regression simulations that, when there are two highly collinear regressors, at least one of which has a simultaneous relationship with the dependent variable, t-ratios typically do not decline to non-significance as text book theory predicts. Coefficients and/or...

In the literature on tests of normality, much concern has been expressed over the problems associated with residual-based procedures. Indeed, the specialized tables of critical points which are needed to perform the tests have been derived for the location-scale model; hence, reliance on...

This paper proves that it is wrong to require that regressing a model's outputs on the observed real outcomes give a 45 line through the origin (unit slope, zero intercept). Therefore this paper proposes an alter-native requirement: the responses of the model and the real system should have the...