Advances in Computational Finance: Models, Algorithms, and Applications
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Organizer(s): |
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Affiliation:
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Shuhua Zhang
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Tianjin University of Finance and Economics
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Chenglong Xu
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Shanghai University of Finance and Economics
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Peoples Rep of China
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Jingtang Ma
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Xi`nan University of Finance and Economics
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Peoples Rep of China
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Introduction:
| | Computational finance has emerged as a critical interdisciplinary field combining mathematical modeling, numerical methods, and data-driven approaches to solve complex problems in financial markets, risk management, and investment strategies. This special session aims to bring together researchers and practitioners to discuss recent advancements in: High-frequency trading algorithms; Machine learning for portfolio optimization; Stochastic modeling in derivatives pricing; Risk analytics under market uncertainties; and Blockchain and crypto-asset modeling.
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