Cryptocurrencies (CCs) have become increasingly interesting for institutional investors' strategic asset allocation and will therefore be a fixed component of professional portfolios in the future. However, this asset class differs from established assets primarily in that it has a higher...

In this study, we show that using a common set of variables would partially resolve inconsistencies and the lack of comparability across rating providers that often confuse investors. Furthermore, we dissociate the impact of the rating agencies’ different focus on “E”, “S” or “G”...

In this study, we show that using a common set of variables would partially resolve inconsistencies and the lack of comparability across rating providers that often confuse investors. Furthermore, we dissociate the impact of the rating agencies’ different focus on “E”, “S” or “G”...

This article validates the chaotic behavior in the Argentinean, Brazilian, Canadian, Chilean, American, Peruvian and Mexican Stock Markets using the MERVAL, BOVESPA, S&P TSX COMPOSITE, IPSA, IGPA, S&P 500, DOW JONES INDUSTRIALS, NASDAQ, IGBVL and IPC Stock Indexes respectively. The results of...

We study the behavior and interaction of systematic and idiosyncratic components of risk in a cross-section of U.K. stocks. We find no clear evidence of a trend in any component of total risk, but we document different “regimes” in the behavior of each component of total risk, in their...

In this paper, we characterize explicitly the first derivative of the Value at Risk and the Expected Shortfall with respect to portfolio allocation when netting between positions exists. As a particular case, we examine a simple Gaussian example in order to illustrate the impact of netting...

We consider a nonparametric method to estimate copulas, i.e. functions linking joint distributions to their univariate margins. We derive the asymptotic properties of kernel estimators of copulas and their derivatives in the context of a multivariate stationary process satisfactory strong mixing...

Accepting non-linearities as an endemic feature of financial data, this paper re-examines Cochrane"s "new fact in finance" hypothesis (Cochrane, Economic Perspectives-FRB of Chicago 23, 36–58, 1999). By implementing two methods, frequently encountered in digital signal processing analysis,...

We find the asymptotic distribution of the multi-dimensional multi-scale and kernel estimators for high-frequency financial data with microstructure. Sampling times are allowed to be asynchronous. The central limit theorem is shown to have a feasible version. In the process, we show that the...

An efficient estimator is constructed for the quadratic covariation or integrated covolatility matrix of a multivariate continuous martingale based on noisy and non-synchronous observations under high-frequency asymptotics. Our approach relies on an asymptotically equivalent continuous-time...