Stimulus-response (SR) and belief-based learning (BBL) models are estimated with experimental data from sender-receiver games and compared using the Davidson and MacKinnon P-test for non-nested hypotheses. Depending on a certain adjustment parameter, the P-test favors the SR model, the BBL model...

We test for the presence of long memory in daily stock returns and their squares using a robust semiparametric procedure. Spurious results can be produced by nonstationarity and aggregation.

Most hypotheses in binary response models are composite. The null hypothesis is usually that one or more slope coefficients are zero. Typically, the sequence of alternatives of interest is one in which the slope coefficients are increasing in absolute value. In this papar, we prove that the...

Tests of statistical hypotheses can be based on either of two critical values: the Type I critical value or the size-corrected critical value. The former usually depends on unknown population parameters and cannot be evaluated exactly in applications, but it can often be estimated very...

This paper investigates the problem of testing that stock returns are uncorrelated without assuming statistical independence. This paper presents a generalized Box-Pierce Q statistics, denoted by Q*, which has an asymptotic chi-square distribution when the times series is uncorrelated provided...

In this paper we investigate the relation between expected return and firm size. Starting with the pionnering work of Banz (1981) and Reinganum (1981), this area has been one of the most researched topics in finance over the last 15 years.