Several models have been developed to capture the dynamics of the conditional correlations between time series of financial returns, but few studies have investigated the determinants of the correlation dynamics. A common opinion is that the market volatility is a major determinant of the correlations. We extend some models to capture explicitly the dependence of the correlations on the volatil...

We discuss the link between the observations of distant quasars and those of massive dark objects in the cores of many local galaxies. We show how the formation of early black holes gives rise to the luminosity function of high z quasars, while it imprints into their dark local relics a related shape of the mass-dispersion correlation. We propose that in its lower section the correlation slope ...

We propose a new class of distinguishers for differential sidechannel analysis based on nonparametric statistics. As an example we use Spearman’s rank correlation coefficient. We present a comparative study of several statistical methods applied to real power measurements from an AES prototype chip to demonstrate the effectiveness of the proposed method. Our study shows that Spearman’s rank coe...

Very general concepts of scatter, extending the traditional notion of covariance matrices, have become classical tools in robust multivariate analysis. In many problems of practical importance (principal components, canonical correlation, testing for sphericity), only homogeneous functions of the scatter matrix are of interest. In line with this fact, scatter functionals often are only defined ...

Collagen tripeptide (CTP) is a collagen hydrolysate containing a high concentration of tripeptides with a Gly-X-Y sequence, such as Gly-Pro-Hyp. To test the effects of this preparation, we compared the absorption of peptides in humans after ingestion of a tripeptide fraction of CTP (CTP-100), a CTP preparation containing ca. 50% Gly-X-Y tripeptides (CTP-50), and a collagen peptide that did not ...

Correlation is an important statistical measure for estimating dependencies between numerical attributes in multivariate datasets. Previous correlation discovery algorithms mostly dedicate to find piecewise correlations between the attributes. Other research efforts, such as correlation preserving discretization, can find strongly correlated intervals through a discretization process while pres...

It has been demonstrated that brief exposure to behavioral information is sufficient for making accurate social judgments. Movement coordination during social interaction, is one potential cue. Although coordination between individuals has been identified, our ability to perceive it when making judgments regarding affiliation (friends vs. strangers) is unknown. In the present studies, we invest...

This paper establishes a new criterion for the identi cation of recursive linear models in which some errors are correlated. We show that identi cation is ensured as long as error correlation does not exist between a cause and its direct e ect; no restrictions are imposed on errors associated with indirect causes.

This paper looks at the patterns of causation between income, export, import, and investment growth for 39 developing countries. Our approach di®ers from previous e®orts in a number of ways. First, we examine each country individually in order to allow for complete heterogeneity. Second, we apply novel model selection techniques which are based on in-sample goodness-of̄t criteria and ex-ante pre...

Low-metallicity (Z < ∼ 0.05Z⊙) massive ( > ∼ 40M⊙) stars might end their life by directly collapsing into massive black holes (BHs, 30 < ∼ mBH/M⊙ < ∼ 80). More than ∼ 10 massive BHs might have been generated via this mechanism in the metal-poor ring galaxy Cartwheel, during the last ∼ 10 yr. We show that such BHs might power most of the ultra-luminous X-ray sources (ULXs) observed in the Cartwh...