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Advanced Modelling in Mathematical Finance - In Honour of Ernst Eberlein (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R4,529
Discovery Miles 45 290
You Save: R779 (15%)
Advanced Modelling in Mathematical Finance - In Honour of Ernst Eberlein (Paperback, Softcover reprint of the original 1st ed....

Advanced Modelling in Mathematical Finance - In Honour of Ernst Eberlein (Paperback, Softcover reprint of the original 1st ed. 2016)

Jan Kallsen, Antonis Papapantoleon

Series: Springer Proceedings in Mathematics & Statistics, 189

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List price R5,308 Loot Price R4,529 Discovery Miles 45 290 | Repayment Terms: R424 pm x 12* You Save R779 (15%)

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This Festschrift resulted from a workshop on "Advanced Modelling in Mathematical Finance" held in honour of Ernst Eberlein's 70th birthday, from 20 to 22 May 2015 in Kiel, Germany. It includes contributions by several invited speakers at the workshop, including several of Ernst Eberlein's long-standing collaborators and former students. Advanced mathematical techniques play an ever-increasing role in modern quantitative finance. Written by leading experts from academia and financial practice, this book offers state-of-the-art papers on the application of jump processes in mathematical finance, on term-structure modelling, and on statistical aspects of financial modelling. It is aimed at graduate students and researchers interested in mathematical finance, as well as practitioners wishing to learn about the latest developments.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Proceedings in Mathematics & Statistics, 189
Release date: April 2018
First published: 2016
Editors: Jan Kallsen • Antonis Papapantoleon
Dimensions: 235 x 155 x 27mm (L x W x T)
Format: Paperback
Pages: 496
Edition: Softcover reprint of the original 1st ed. 2016
ISBN-13: 978-3-319-83390-3
Categories: Books > Business & Economics > Finance & accounting > General
Books > Science & Mathematics > Mathematics > Probability & statistics
LSN: 3-319-83390-1
Barcode: 9783319833903

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