Simulation, Optimization, and Machine Learning for Finance, second edition
$297.09
- Hardcover
720 pages
- Release Date
14 October 2025
Summary
A comprehensive guide to simulation, optimization, and machine learning for finance, covering theoretical foundations, practical applications, and data-driven decision-making.
Simulation, Optimization, and Machine Learning for Finance offers a comprehensive introduction to the quantitative tools essential for asset management and corporate finance. This extensively revised and expanded edition builds upon the foundation of the textbook Simulation and Optimization in Finance, integrati…
Book Details
| ISBN-13: | 9780262049801 |
|---|---|
| ISBN-10: | 0262049805 |
| Author: | Dessislava A. Pachamanova, Frank J. Fabozzi |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 720 |
| Release Date: | 14 October 2025 |
| Weight: | 567g |
| Dimensions: | 203mm x 254mm |
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Dessislava A. Pachamanova
Dessislava A. Pachamanova is Professor and Zwerling Family Endowed Term Chair at Babson College and Research Affiliate at the Massachusetts Institute of Technology. She is coauthor of Robust Portfolio Optimization and Management and Portfolio Construction and Analytics.
Frank J. Fabozzi is Professor of Practice in Finance at Johns Hopkins’ Carey Business School, author of Introduction to Fixed-Income Analysis and Portfolio Management; Capital Markets, sixth edition; and Entrepreneurial Finance and Accounting for High-Tech Companies, and coauthor of Bond Markets, Analysis, and Strategies, tenth edition; Foundations of Global Financial Markets and Institutions; and The Economics of FinTech.
Francesco A. Fabozzi is Research Director at Yale School of Management’s International Center for Finance. He serves as the Managing Editor of The Journal of Financial Data Science and the Director of Data Science at the CFA Institute Research Foundation and is the coauthor of six books in asset management and corporate finance.
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