We investigate the properties of the returns of the main emerging stock markets from Europe by means of complex networks. We transform the series of daily returns into complex networks, and analyze the local properties of these networks with respect to degree distributions, clustering, or...

We use a correlation-based approach to analyze financial data from the US stock market, both daily and monthly observations from the Dow Jones. We compute the entropy based on the singular value decomposition of the correlation matrix for the components of the Dow Jones Industrial Index. Based...

The multifractal spectrum of a time series can be ascertained with a number of techniques, some based on wavelets, others based on the much newer (multifractal) detrended fluctuation analysis (MF-DFA). We test for the presence of multifractality in daily data on selected exchange rates from...