Generalized Hurst Exponent Temporal Pattern Calculation

Calculates timeseries of Generalized Hurst Exponents (GHE) and designates Temporal Patterns (TP) based on methodology presented in ref.[1].
61 descargas
Actualizado 6 sep 2021

Ver licencia

This software implements the procedure and algorithm prescribed in
[1]. "The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool", I.P. Antoniades, Giuseppe Brandi, L. Magafas, T.Di Matteo, Physica A, 565 (2021), DOI: 10.1016/j.physa.2020.125561.
to calculate and plot Temporal Patterns (TP) for a pair of Generalized Hurst Exponent timeseries (GHE), H(q), of two different q-values and a respective multi-scaling proxy timeseries. The TP's provide a visual tool to detect scaling changes in timeseries coming from any complex dynamical system with the purpose of characterizing the evolution of the underlying dynamics as well as linking scaling changes to the prediction of future events.
Details for the method and algorithm as well as application to financial timeseries can be found in the article cited above.

Citar como

Ioannis Antoniades, Giuseppe Brandi (2021). Generalized Hurst Exponent Temporal Pattern Calculation (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved September 6, 2021.

"The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool", I.P. Antoniades, Giuseppe Brandi, L. Magafas, T.Di Matteo, Physica A, 565 (2021), DOI: 10.1016/j.physa.2020.125561.

Compatibilidad con la versión de MATLAB
Se creó con R2021a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Agradecimientos

Inspirado por: Generalized Hurst exponent

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versión Publicado Notas de la versión
1.0.1

minor changes in description

1.0.0