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http://hdl.handle.net/10071/17410
acessibilidade
Title: Investigating detrended fluctuation analysis with structural breaks
Authors: Menezes, R.
Oliveira, A.
Portela, S.
Keywords: Detrended fluctuation analysis
Detrended walk
Structural break
Forecast accuracy
Power-law
Issue Date: 2019
Publisher: Elsevier
Abstract: Detrended Fluctuation Analysis has been used in several fields of science to study the statistical properties of trend stationary and nonstationary time-series. Its application to financial data has produced important results concerning long-range correlations and long-memory. However, these results may be contaminated if the researcher attributes to nonstationary trends the effect of stationary trends with endogenous structural breaks. Our paper proposes a modified DFA model where boxes to determine local trends are replaced by endogenous structural break windows. We also allow local trends fitted by quadratic functions and use squared residuals in place of patchy standard deviations to study the magnitude of the power-law exponent. The results show that our modified DFA model performs better than the fixed length alternatives originally proposed, and is, therefore, a suitable model to fit with financial data. Consistently with previous findings, our results show positive long-range correlation in all indices with the higher value for emerging markets.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/17410
DOI: 10.1016/j.physa.2018.12.006
ISSN: 0378-4371
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-52887
Accession number: WOS:000456359200028
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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