Recurrence Interval Analysis of Financial Time Series eBook
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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.

About the book
Author
Zhi-Qiang  Jiang , Wen-Jie  Xie , Wei-Xing  Zhou
Imprint
Cambridge University Press
Collection
n.c
Publication date
2024-03-21
Pages
n.c
Print ISBN
9781009486613
Language
English
Ebook informations
EAN PDF
9781009381758
Price
£18.99
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File size 1638 Ko
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