We review the state of the art of clustering financial time series and the study of their
correlations alongside other interaction networks. The aim of the review is to gather in one …

Predicting financial networks has important implications in finance. However, less research
attention has been given in this direction. This study aims to predict cross market linkage …

Network analysis is one of the methods of attention of analysts to analyze complex
relationships in data in an intuitive way. One of the applications of network analysis is …

The stock market, as a prominent financial domain, presents a formidable challenge in
comprehending and evaluating an extensive array of stocks employing centrality …

The amount of information and data we retrieve and use is growing rapidly. Data mining is
the process of extracting relevant data from large volumes of data and the method of …

The multi-tiered cross-market dependency structures among capital market worldwide have
a highly complex architecture which makes international portfolio management a …