Recurrence Interval Analysis of Financial Time Series - Couverture rigide

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

9781009486613: Recurrence Interval Analysis of Financial Time Series

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ISBN 10 : 1009486616 ISBN 13 : 9781009486613

Editeur : Cambridge University Press, 2024

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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.

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�diteur: Cambridge University Press
Date d'�dition: 2024
Langue: anglais
ISBN 10: 1009486616
ISBN 13: 9781009486613
Reliure: Reli�
Nombre de pages: 86
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Recurrence Interval Analysis of Financial Time Series

Zhou, Wei-xing; Jiang, Zhi-qiang; Xie, Wen-jie

Edit� par Cambridge University Press, 2024

ISBN 10 : 1009486616 ISBN 13 : 9781009486613

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Recurrence Interval Analysis of Financial Time Series (Elements in Econophysics)

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

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Recurrence Interval Analysis of Financial Time Series

Zhou, Wei-xing; Jiang, Zhi-qiang; Xie, Wen-jie

Edit� par Cambridge University Press, 2024

ISBN 10 : 1009486616 ISBN 13 : 9781009486613

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Recurrence Interval Analysis of Financial Time Series (Hardcover)

Wei-Xing Zhou

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Hardcover. Etat : new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781009486613

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Recurrence Interval Analysis of Financial Time Series (Elements in Econophysics)

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

Edit� par Cambridge University Press, 2024

ISBN 10 : 1009486616 ISBN 13 : 9781009486613

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Recurrence Interval Analysis of Financial Time Series

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

Edit� par Cambridge University Press, GB, 2024

ISBN 10 : 1009486616 ISBN 13 : 9781009486613

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Hardback. Etat : New. 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. N� de r�f. du vendeur LU-9781009486613

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