Handbook of Computational and Numerical Methods in Finance

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Focusing on the integration of probability theory, finance, and numerical analysis, this volume delves into the burgeoning field of numerical methods in finance. It addresses the limitations of analytical methods in solving complex financial problems, offering insights into areas like risk assessment, asset management, and portfolio optimization. The research contributions explore various methodologies, including Genetic Algorithms, Neural Networks, and Monte-Carlo methods, highlighting both theoretical and practical aspects yet to be fully examined.