The efficient market hypothesis forbids any predictability towards future, but there is no such restriction in the case of reversed-looking approaches. We analyze if this asymmetry in non-predictability is reflected in the statis-tical features of financial time series. Our study is based on the analysis of the length-distribution of periods with high variability, and introduces time-asymmetric modifications of the method which are capable of revealing dif-ferences of the time series in forward and reversed time. We show that the future and reversed-looking time -series possess very similar properties, with some features being distinguishable with our method. Our findings give also evidence of the differences in the dynamics of markets before and after crisis, this implying the possibil-ity to predict a forthcoming crisis.

The predictive power of power-laws: An empirical time-arrow based investigation / Andria, Joseph; di Tollo, Giacomo; Kalda, Jaan. - In: CHAOS, SOLITONS AND FRACTALS. - ISSN 0960-0779. - 162:(2022). [10.1016/j.chaos.2022.112425]

The predictive power of power-laws: An empirical time-arrow based investigation

di Tollo, Giacomo;
2022-01-01

Abstract

The efficient market hypothesis forbids any predictability towards future, but there is no such restriction in the case of reversed-looking approaches. We analyze if this asymmetry in non-predictability is reflected in the statis-tical features of financial time series. Our study is based on the analysis of the length-distribution of periods with high variability, and introduces time-asymmetric modifications of the method which are capable of revealing dif-ferences of the time series in forward and reversed time. We show that the future and reversed-looking time -series possess very similar properties, with some features being distinguishable with our method. Our findings give also evidence of the differences in the dynamics of markets before and after crisis, this implying the possibil-ity to predict a forthcoming crisis.
2022
File in questo prodotto:
File Dimensione Formato  
Andria_Predictive-power-power-laws_2022.pdf

Solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso: Tutti i diritti riservati
Dimensione 1.4 MB
Formato Adobe PDF
1.4 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/337135
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact