MDPI AG
Modeling, Analysis and Optimization for Mathematical Finance, Economics and Risks
Product Code:
9783725817290
ISBN13:
9783725817290
Condition:
New
$96.85
$85.91
Sale 11%
Modeling, Analysis, and Optimization for Mathematical Finance, Economics, and Risks is a critical domain that integrates mathematical theory with practical applications to address the complexities of modern financial and economic systems. This special issue focuses on recent studies that are helping to develop sophisticated mathematical models to better understand, predict, and optimize financial markets, economic behaviors, and risk management. These studies, as well as the theoretical results and practical applications contained in this reprint, underscore the importance of a rigorous, quantitative approach to navigate and master the intricacies of these interconnected fields. This synergy not only advances theoretical understanding but also drives practical innovations, ensuring robustness and resilience in a rapidly evolving global landscape of modern quantitative techniques for financial mathematics, actuarial science and operational research.
Author: Jing Yao, Xiang Hu, Jingchao Li |
Publisher: MDPI AG |
Publication Date: Jul 25, 2024 |
Number of Pages: NA pages |
Language: English |
Binding: Hardcover |
ISBN-10: 3725817294 |
ISBN-13: 9783725817290 |
Modeling, Analysis and Optimization for Mathematical Finance, Economics and Risks
$96.85
$85.91
Sale 11%
Modeling, Analysis, and Optimization for Mathematical Finance, Economics, and Risks is a critical domain that integrates mathematical theory with practical applications to address the complexities of modern financial and economic systems. This special issue focuses on recent studies that are helping to develop sophisticated mathematical models to better understand, predict, and optimize financial markets, economic behaviors, and risk management. These studies, as well as the theoretical results and practical applications contained in this reprint, underscore the importance of a rigorous, quantitative approach to navigate and master the intricacies of these interconnected fields. This synergy not only advances theoretical understanding but also drives practical innovations, ensuring robustness and resilience in a rapidly evolving global landscape of modern quantitative techniques for financial mathematics, actuarial science and operational research.
Author: Jing Yao, Xiang Hu, Jingchao Li |
Publisher: MDPI AG |
Publication Date: Jul 25, 2024 |
Number of Pages: NA pages |
Language: English |
Binding: Hardcover |
ISBN-10: 3725817294 |
ISBN-13: 9783725817290 |