The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.
The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.
Multicriteria Portfolio Construction with Python
176Multicriteria Portfolio Construction with Python
176Paperback(1st ed. 2020)
Product Details
ISBN-13: | 9783030537456 |
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Publisher: | Springer International Publishing |
Publication date: | 10/18/2020 |
Series: | Springer Optimization and Its Applications , #163 |
Edition description: | 1st ed. 2020 |
Pages: | 176 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |