Recurrence Interval Analysis of Financial Time Series

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

ISBN 10: 1009486616 / ISBN 13: 9781009486613

Verlag: Cambridge University Press, 2024

Beschreibung

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

Bestandsnummer des Verkäufers __1009486616

Bibliografische Details

• Titel: Recurrence Interval Analysis of Financial Time Series
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 1009486616
• ISBN-13: 9781009486613
• Einband: Hardcover
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

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.