Description
Recurrence Interval Analysis of Financial Time Series provides a comprehensive examination of recurrence intervals as a powerful analytical framework in econophysics. The authors explore how recurrence analysis can be applied to understand the temporal patterns and statistical properties of financial markets.
This work bridges econophysics and financial mathematics, offering both theoretical insights and empirical methods for analyzing price movements, volatility clustering, and market anomalies. The book covers the mathematical foundations of recurrence analysis, practical computational techniques, and real-world applications to stock markets, foreign exchange, and other financial instruments.
Part of the Elements in Econophysics series, this monograph serves as both an introduction for newcomers and a reference for researchers investigating the complex dynamics of financial time series through the lens of physics-inspired mathematical methods.
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