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 …

We construct a Pearson correlation-based network and a partial correlation-based network,
ie, two minimum spanning trees (MST-Pearson and MST-Partial), to analyze the correlation …

Digital assets termed cryptocurrencies are correlated. We analyze cross correlations
between price changes of different cryptocurrencies using methods of random matrix theory …

This paper presents an in‐depth review of the methodologies and innovations in the study of
correlation networks in economics and finance. We explore the development of filtering …

The Pearson correlation coefficient is used by many researchers to construct complex
financial networks. However, it is difficult to capture the structural characteristics of financial …

The structure and dynamics of complex network systems are of current research interest. We
illustrate the dependency between the network topology and its function, considering the …

This paper constructs a global economic policy uncertainty index through the principal
component analysis of the economic policy uncertainty indices for twenty primary economies …

Daily correlations among 322 S&P 500 constituent stocks are investigated by means of
correlation-based (CB) network. By using the heterogeneous time scales, we identify global …

Systemic risk in financial markets refers to the breakdown of a financial system due to global
events, catastrophes, or extreme incidents, leading to huge financial instability and losses …

The measured correlations of financial time series in subsequent epochs change
considerably as a function of time. When studying the whole correlation matrices, quasi …