In this paper, we seek to examine the effect of the presence of long memory on the dependence structure between financial returns and on portfolio optimization. First, we focus on the dependence structure using copulas. To select the best copula, in addition to the goodness of fit tests, we...

This paper investigates the dependence structure between daily oil price changes and stock market returns in six GCC countries (Bahrain, Kuwait,Oman, Qatar, Saudi Arabia and United Arab Emirates) during the period from June 1, 2005 to February 11, 2013. For that, we apply three Archimedean...

This paper examines the dynamic dependence between American and four developed stock markets, namely, Japan, United Kingdom, Germany and France during a recent period including the global Â…nancial crisis 2007-2009. The econometric approach is based on the extreme-value time-varying copula...

This paper proposes a new class of semiparametric generalized long memory model with FIA- PARCH errors (SEMIGARMA-FIAPARCH model) that extends the conventionnel GARMA model to incorporate nonlinear deterministic trend, in the mean equation, and to allow for time varying volatility, in the...

We propose a new long-memory model with a time-varying fractional integration parameter, evolving non-linearly according to a Logistic Smooth Transition Autoregressive (LSTAR) specification. To estimate the time-varying fractional integration parameter, we implement a method based on the wavelet...