Mapping individual behavior in financial markets: synchronization and anticipation
Abstract In this paper we develop a methodology, based on Mutual Information and Transfer of Entropy, that allows to identify, quantify and map on a network the synchronization and anticipation relationships between financial traders. We apply this methodology to a dataset containing 410,612 $410\te...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-03-01
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Series: | EPJ Data Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1140/epjds/s13688-019-0188-6 |