Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 69,91
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 76,29
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 78,64
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 72,04
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 72,03
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 81,48
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 79,68
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 102,32
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Rarewaves.com UK, London, Reino Unido
EUR 72,18
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Revaluation Books, Exeter, Reino Unido
EUR 71,45
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Añadir al carritoHardcover. Condición: Brand New. 75 pages. 9.00x6.00x0.25 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 93,25
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 84,38
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Majestic Books, Hounslow, Reino Unido
EUR 100,28
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 101,77
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: CitiRetail, Stevenage, Reino Unido
EUR 79,04
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 115,79
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.