Patent or article citations reflect the consequences of a published idea on the discovery of new ideas. We draw a simple theoretical model predicting that the shape of the future citations of an idea can reveal the complexity of its innovative research spillover. We apply this method to the...

Linear mixed models (LMM) are frequently used to analyze repeated measures data, because they are more flexible to modelling the correlation within-subject, often present in this type of data. The most popular LMM for continuous responses assumes that both the random effects and the...

This paper explores the impact of error-term non-normality on the performance of the normal-error Generalized Autoregressive Conditional Heteroskedastic (GARCH) model under small and moderate sample sizes. A non-normal-, asymmetric-error GARCH model is proposed, and its finite-sample performance...

Returns on international equities are characterized by jumps; moreover, these jumps tend to occur at the same time across countries leading to systemic risk .In this Paper, we evaluate whether systemic risk reduces substantially the gains from international diversification. First, in order to...

Because it is easy to compute from three common statistics (minimum, maximum, standard deviation) the studentized range is a useful test for non-normality when the original data are unavailable. For samples from symmetric populations, the studentized range allows an assessment of kurtosis with...

This paper examines the problem of evaluating the presence of asymmetry in the marginal distribution of financial returns by means of a suitable statistical test. After a brief description of existing tests, a bootstrap procedure is proposed. A Monte Carlo study showed that this test works...

This paper studies the extent to which market crashes are predictable for a set of six countries, focusing in particular on possible differences between transition economies (The Czech Republic, Hungary and Poland) and mature markets (UK, US and EU). We estimate a set of individual country and...

The techniques of exploratory data analysis include a resistant rule, based on a linear combination of quartiles, for identification of outliers. This paper shows that the substitution of the quartiles with the median leads to a better performance in the non-Gaussian case. The improvement occurs...