Recurrence Interval Analysis of Financial Time Series - Brossura

Zhou, Wei-Xing

Brossura

ISBN 10: 1009381733 ISBN 13: 9781009381734

Casa editrice: Cambridge University Press, 2024

Riassunto

Extreme events are ubiquitous in nature and social society, including natural disasters, accident disasters, crises in public health (such as Ebola and the COVID-19 pandemic), and social security incidents (wars, conflicts, and social unrest). These extreme events will heavily impact financial markets and lead to the appearance of extreme fluctuations in financial time series. Such extreme events lack statistics and are thus hard to predict. Recurrence interval analysis provides a feasible solution for risk assessment and forecasting. This Element aims to provide a systemic description of the techniques and research framework of recurrence interval analysis of financial time series. The authors also provide perspectives on future topics in this direction.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1009381733
• ISBN 13: 9781009381734
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 86
• Contatto del produttore: non disponibile
• Persona responsabile: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; Francia