Machine learning for risk calculations : a practitioner's view / I. Ruiz and M. Zeron ; foreword by P. Karasinski.
"The computational demand of risk calculations in financial institutions has ballooned. Traditionally, this has led to the acquisition of more and more computer power -- some banks have farms in the order of 50,000 CPUs, with running costs in the multimillions of dollars -- but this path is no...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Chichester, West Sussex ; Hoboken, New Jersey :
Wiley,
[2022]
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| Series: | Wiley finance series.
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| Subjects: | |
| Online Access: | Click here to view this book |
| Summary: | "The computational demand of risk calculations in financial institutions has ballooned. Traditionally, this has led to the acquisition of more and more computer power -- some banks have farms in the order of 50,000 CPUs, with running costs in the multimillions of dollars -- but this path is no longer economically or operationally viable. Algorithmic solutions represent a viable way to reduce costs while simultaneously increasing risk calculation capabilities."-- |
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| Physical Description: | 1 online resource (xxvi, 434 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1119791391 9781119791393 |