Recurrence Interval Analysis of Financial Time Series

Wei-Xing Zhou , Zhi-Qiang Jiang , Wen-Jie Xie

ISBN 10: 1009486616 / ISBN 13: 9781009486613

Editore: Cambridge University Press, 2024

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75 pages. 9.00x6.00x0.25 inches. In Stock. This item is printed on demand. Codice articolo __1009486616

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Titolo: Recurrence Interval Analysis of Financial ...

Casa editrice: Cambridge University Press

Data di pubblicazione: 2024

Legatura: Hardcover

Condizione: Brand New

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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.