Simulation, Optimization, and Machine Learning for Finance, second edition

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Synopsis
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, integrating the latest advancements in quantitative tools. Designed for undergraduates, graduate students, and professionals seeking to enhance their analytical expertise in finance, the book bridges theory with practical application, making complex financial concepts more accessible.Beginning with a review of foundational finance principles, the text progresses to advanced topics in simulation, optimization, and machine learning, demonstrating their relevance in financial decision-making. Readers gain hands-on experience developing financial risk models using these techniques, fostering conceptual understanding and practical implementation.Provides a structured introduction to probability, inferential statistics, and data scienceExplores cutting-edge techniques in simulation modeling, optimization, and machine learningDemonstrates real-world asset allocation strategies, advanced portfolio risk measures, and fixed-income portfolio management using quantitative toolsCovers factor models and stochastic processes in asset pricingIntegrates capital budgeting and real options analysis, emphasizing the role of uncertainty and quantitative modeling in long-term financial decision-makingIs suitable for practitioners, students, and self-learners
Copyright:
2025

Book Details

Book Quality:
Publisher Quality
Book Size:
672 Pages
ISBN-13:
9780262383776
Related ISBNs:
9780262049801
Publisher:
MIT Press
Date of Addition:
Copyrighted By:
Dessislava A. Pachamanova, Frank J. Fabozzi, and Francesco A. Fabozzi
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Business and Finance, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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