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Modelling and Forecasting Financial Data
. Ed(S): Soofi, Abdol S.; Cao, Liangyue
€ 373.29
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Description for Modelling and Forecasting Financial Data
Paperback. Editor(s): Soofi, Abdol S.; Cao, Liangyue. Series: Studies in Computational Finance. Num Pages: 488 pages, biography. BIC Classification: KCH; KFC; MB. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 789.
Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters.
Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.
Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters.
Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
488
Condition
New
Series
Studies in Computational Finance
Number of Pages
488
Place of Publication
New York, NY, United States
ISBN
9781461353102
SKU
V9781461353102
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Modelling and Forecasting Financial Data
"This book is truly a multidisciplinary effort, with contributors including economists, electrical engineers, physicists, mathematicians, and statisticians (myself and Jianming Yé). Although there are many books on nonlinear dynamic techniques, Modelling and Forecasting Financial Data is distinguished by its concerted efforts on practical relevance in financial and economic applications." (Z.-Q. John Lu, National Institute of Standards and Technology in ... Read more