This paper utilizes several tests to analyze serial dependence in financial data. In an attempt to provide a better explanation of the behavior of financial markets, we utilized tests that make use of mutual information and developed a detrended fluctuation analysis (DFA). Applying these tests...

This paper investigates the possibility to analyse the structure of unconditional or conditional (and possibly nonlinear) dependence in financial returns without requiring the specification of mean-variance models or a theoretical probability distribution. <abstract/>The main goal of the paper is to show...

The main goal of the paper is to show how mutual information can be used as a measure of dependence in financial time series. One major advantage of this approach resides precisely in its ability to account for nonlinear dependencies with no need to specify a theoretical probability distribution...