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 explores the emerging discipline of numerical methods in finance. It addresses complex financial problems where traditional analytical methods fall short, covering topics such as derivative computation, risk assessment, and portfolio optimization. Key methodologies discussed include Genetic Algorithms, Monte-Carlo methods, and Stochastic Portfolio Optimization. The contributions highlight both theoretical and practical aspects, emphasizing ongoing research in this evolving field.