Published by Cambridge University Press, 2024
ISBN 10: 1009381733 ISBN 13: 9781009381734
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Published by Cambridge University Press, 2024
ISBN 10: 1009381733 ISBN 13: 9781009381734
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009381733 ISBN 13: 9781009381734
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009381733 ISBN 13: 9781009381734
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, GB, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Add to basketHardback. 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.
Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, GB, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Add to basketHardback. 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.
Published by Cambridge University Press, 2024
ISBN 10: 1009381733 ISBN 13: 9781009381734
Language: English
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Add to basketPaperback. Condition: Brand New. 75 pages. 9.00x6.00x0.18 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Add to basketHardcover. Condition: Brand New. 75 pages. 9.00x6.00x0.25 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009486616 ISBN 13: 9781009486613
Language: English
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