Recurrence Quantification Analysis of Financial Markets

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Author(s): João A. Bastos (Instituto Superior de Economia e Gestao, Technical University of Lisbon, Portugal)
Copyright: 2013
Pages: 13
Source title: Chaos and Complexity Theory for Management: Nonlinear Dynamics
Source Author(s)/Editor(s): Santo Banerjee (Politecnico di Torino, Italy)
DOI: 10.4018/978-1-4666-2509-9.ch003

Keywords: Business & Management / Business Process Management / Business Science Reference / Operations and Service Management

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Abstract

Recurrence quantification analysis is a nonlinear time series analysis technique that detects deterministic dependencies in time series. This technique is particularly appropriate for modeling financial time series since it requires no assumptions on stationarity, statistical distribution, and minimum number of observations. This chapter illustrates two applications of recurrence quantification analysis to financial data: a set of international stock indices, and zero-coupon yields of US government bonds.

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