Recurrence Interval Analysis of Financial Time Series (Paperback)

Wei-Xing Zhou

ISBN 10: 1009381733 / ISBN 13: 9781009381734

Editore: Cambridge University Press, Cambridge, 2024

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Paperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9781009381734

Dati bibliografici

• Titolo: Recurrence Interval Analysis of Financial Time Series (Paperback)
• Editore: Cambridge University Press, Cambridge
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1009381733
• ISBN 13: 9781009381734
• Rilegatura: Paperback
• Condizione: 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.