ISBN: 9781009486613 - Recurrence Interval Analysis of Financial Time Series (elements in Econophysics) (14 results)

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  • Language: English

    Published by Cambridge University Press, 2024

    1009486616 / 9781009486613

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  • Language: English

    Published by Cambridge University Press, 2024

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  • Language: English

    Published by Cambridge University Press, GB, 2024

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    Hardback. Condition: 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.…

  • Language: English

    Published by Cambridge University Press, 2024

    1009486616 / 9781009486613

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  • Language: English

    Published by Cambridge University Press, 2024

    1009486616 / 9781009486613

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  • Language: English

    Published by Cambridge University Press, 2024

    1009486616 / 9781009486613

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  • Language: English

    Published by Cambridge University Press, 2024

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  • Language: English

    Published by Cambridge University Press, 2024

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  • Language: English

    Published by Cambridge University Press Mär 2024, 2024

    1009486616 / 9781009486613

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    Buch. Condition: Neu. Neuware - 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.…

  • Language: English

    Published by Cambridge University Press, GB, 2024

    1009486616 / 9781009486613

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    Hardback. Condition: 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.…

  • Language: English

    Published by Cambridge University Press, 2024

    1009486616 / 9781009486613

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    Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Language: English

    Published by Cambridge University Press, 2024

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  • Language: English

    Published by Cambridge University Press, 2024

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  • Language: English

    Published by Cambridge University Press, Cambridge, 2024

    1009486616 / 9781009486613

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    Hardcover. Condition: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…