A perspective on correlation-based financial networks and entropy measures

Vishwas Kukreti, Hirdesh K. Pharasi, Priya Gupta and Sunil Kumar

Papers from arXiv.org

Abstract: In this brief review, we critically examine the recent work done on correlation-based networks in financial systems. The structure of empirical correlation matrices constructed from the financial market data changes as the individual stock prices fluctuate with time, showing interesting evolutionary patterns, especially during critical events such as market crashes, bubbles, etc. We show that the study of correlation-based networks and their evolution with time is useful for extracting important information of the underlying market dynamics. We, also, present our perspective on the use of recently developed entropy measures such as structural entropy and eigen-entropy for continuous monitoring of correlation-based networks.

Date: 2020-04
New Economics Papers: this item is included in nep-gen, nep-hme, nep-net and nep-rmg
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2004.09448

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