Machine learning for risk calculations : a practitioner's view /
"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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
Wiley,
[2022]
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| Series: | Wiley finance series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic 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 |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119791416 1119791413 1119791405 9781119791393 1119791391 9781119791409 |