In this paper, we propose a localized neural network (LNN) model and then develop the LNN based estimation and inferential procedures for dependent data in both cases with quantitative/qualitative outcomes. We explore the use of identification restrictions from a nonparametric regression...

It has been an "empirical consensus" that data from developed economies generally do not support the hypothesis of international risk-sharing, either in the form of full risk-pooling via state-contingent assets or in the form of uncovered interest parity enforced by trading non-contingent...

Return event studies generally involve several firms but there are also cases when only one firm is involved. This makes the relevant testing problems, abnormal return (AR) and cumulative abnormal return (CAR), more difficult since one cannot exploit the multitude of firms (by using a relevant...