Logo do repositório
 
Publicação

Log periodic power analysis of critical crashes : evidence from the portuguese stock market

dc.contributor.authorGonçalves, Tiago Cruz
dc.contributor.authorBorda, Jorge Victor Quiñones
dc.contributor.authorVieira, Pedro Rino
dc.contributor.authorMatos, Pedro Verga
dc.date.accessioned2025-02-19T16:09:16Z
dc.date.available2025-02-19T16:09:16Z
dc.date.issued2022
dc.description.abstractThe study of critical phenomena that originated in the natural sciences has been extended to the financial economics’ field, giving researchers new approaches to risk management, forecasting, the study of bubbles and crashes, and many kinds of problems involving complex systems with self-organized criticality (SOC). This study uses the theory of self-similar oscillatory time singularities to analyze stock market crashes. We test the Log Periodic Power Law/Model (LPPM) to analyze the Portuguese stock market, in its crises in 1998, 2007, and 2015. Parameter values are in line with those observed in other markets. This is particularly interesting since if the model performs robustly for Portugal, which is a small market with liquidity issues and the index is only composed of 20 stocks, we provide consistent evidence in favor of the proposed LPPM methodology. The LPPM methodology proposed here would have allowed us to avoid big loses in the 1998 Portuguese crash, and would have permitted us to sell at points near the peak in the 2007 crash. In the case of the 2015 crisis, we would have obtained a good indication of the moment where the lowest data point was going to be achieved.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves, Tiago Cruz … [et al.]. (2022). “Log periodic power analysis of critical crashes : evidence from the portuguese stock market”. In Journal of Economies, Volume 10: no.14.pt_PT
dc.identifier.doidoi.org/10.3390/economies10010014pt_PT
dc.identifier.eissn2227-7099
dc.identifier.urihttp://hdl.handle.net/10400.5/98574
dc.language.isoengpt_PT
dc.publisherSpringer Naturept_PT
dc.subjectFinancial Bubblept_PT
dc.subjectSelf-Organized Criticalitypt_PT
dc.subjectStock Crashpt_PT
dc.subjectLog-Periodic Power Law;pt_PT
dc.subjectFinancial Crisispt_PT
dc.titleLog periodic power analysis of critical crashes : evidence from the portuguese stock marketpt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
TCGONÇALVES ... ET AL. 2022.pdf
Tamanho:
2.53 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.2 KB
Formato:
Item-specific license agreed upon to submission
Descrição: