Stochastic flow diagrams
Neil J. Calkin and
Marcos López de Prado ()
Additional contact information
Neil J. Calkin: Department of Mathematical Sciences, Clemson University, Postal: Department of Mathematical Sciences, Clemson University, Clemson, SC, USA
Marcos López de Prado: Guggenheim Partners, Postal: Senior Managing Director, Guggenheim Partners, New York, NY, USA
Algorithmic Finance, 2014, vol. 3, issue 1-2, 21-42
Abstract:
We introduce Stochastic Flow Diagrams (SFDs), a new mathematical approach to represent complex dynamic systems into a single weighted digraph. This topological representation provides a way to visualize what otherwise would be a morass of equations in differences. SFDs model the propagation and reverberation that follows a shock. For example, reverberation explains how a shock to a financial system can initiate a sequence of events that lead to a crash long after the occurrence of the shock. SFDs can simulate systems in stable, steady or explosive state. SFDs add Topology to the Statistical and Econometric toolkit. We believe that SFDs will help policy makers, investors and researchers communicate and discuss better the complexity of dynamic systems.
Keywords: Time series; graph theory; topology; financial flows; macro trading (search for similar items in EconPapers)
JEL-codes: C00 C01 C02 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:ris:iosalg:0008
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