This paper introduces non-parametric estimators for upper and lower tail dependence whose confidence intervals are obtained with a bootstrap method. We call these estimators 'naive estimators' as they represent a discretization of Joe's formulae linking copulas to tail dependence. We apply the...

This article presents a 2-regime SETAR model with different long-memory processes in both regimes. We briefly present the memory properties of this model and propose an estimation method. Such a process is applied to the absolute and squared returns of five stock indices. A comparison to simple...

To detect chaos on observational data, we first need to know the embedding dimension. We propose a consistent approach to estimate this dimension using the theoretical work of Bosq and Guegan (1994) and we apply the results to real financial data.

Purpose – The aim of this paper is to show evidence and to quantify with forensic econometric methods the impact of the missing trader fraud (MTF) on European carbon allowances markets. This fraud occurred mainly between the end of 2008 and the beginning of 2009. In this paper, the financial...

In this paper we discuss different aspects of long memory behavior and applicable parametric models. We discuss the confusion that can arise when the empirical autocorrelation function decreases in a hyperbolic way.

This paper develops the method for pricing bivariate contingent claims under general autoregressive conditionally heteroskedastic (GARCH) process. In order to provide a general framework being able to accommodate skewness, leptokurtosis, fat tails as well as the time-varying volatility that are...

We investigate the local power of the Lagrange multiplier test against a sequence of bilinear alternatives contiguous to the null hypothesis. Simulation experiments show that the experimental power agrees with the theoretical power, and that these powers are good.