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 longer economically or operationally viable. Algorithmic solutions represent a viable way to reduce costs while simultaneously increasing risk calculation capabilities."--
Read More ↓Title Statements
- Full title :Machine learning for risk calculations : a practitioner's view / I. Ruiz and M. Zeron ; foreword by P. Karasinski
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."--
Read More ↓Edition Statements
- Publication Date:©2022
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Chichester, West Sussex
- Language:eng
- Publication Date:©2022
The Physical Object
- Description:xxvi, 434 pages : : illustrations ; : 25 cm.
Edition Identifiers
- ISBN:9781119791386, 1119791383
- oclc:on1264751162
- LC Classification:Q325.5
- Dewey Decimal:332.10285/631
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