This textbook covers the latest advances in machine-learning methods for asset management and asset pricing. Recent research in deep learning applied to finance shows that some of the techniques used by asset managers (usually kept confidential) result in better investments than the more standard techniques. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative. Coverage includes
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. This textbook covers the latest advances in machine-learning methods for asset management and asset pricing. Recent research in deep learning applied to finance shows that some of the techniques used by asset managers (usually kept confidential) result in better investments than the more standard techniques. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative. Coverage includesan original machine learning method for strategic asset allocation;the no-arbitrage theory applied to a wide portfolio of assets as well as other asset management methods, such as mean-variance, Bayesian methods, linear factor models, and strategic asset allocation; andtechniques other than neural networks, such as nonlinear and linear programming, principal component analysis, reinforcement learning, dynamic programming, and clustering.The authors use technical and nontechnical arguments to accommodate readers with different levels of mathematical preparation. Readers will find the book easy to read yet rigorous and a large number of exercises. Codice articolo LU-9781611977899
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. 2024. paperback. . . . . . Codice articolo V9781611977899
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FW-9781611977899
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Da: Revaluation Books, Exeter, Regno Unito
Condizione: Brand New. 277 pages. 10.00x7.00x1.00 inches. In Stock. Codice articolo __1611977894
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. Codice articolo B9781611977899
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2024. paperback. . . . . . Books ship from the US and Ireland. Codice articolo V9781611977899
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Da: Rarewaves.com UK, London, Regno Unito
Paperback. Condizione: New. This textbook covers the latest advances in machine-learning methods for asset management and asset pricing. Recent research in deep learning applied to finance shows that some of the techniques used by asset managers (usually kept confidential) result in better investments than the more standard techniques. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative. Coverage includesan original machine learning method for strategic asset allocation;the no-arbitrage theory applied to a wide portfolio of assets as well as other asset management methods, such as mean-variance, Bayesian methods, linear factor models, and strategic asset allocation; andtechniques other than neural networks, such as nonlinear and linear programming, principal component analysis, reinforcement learning, dynamic programming, and clustering.The authors use technical and nontechnical arguments to accommodate readers with different levels of mathematical preparation. Readers will find the book easy to read yet rigorous and a large number of exercises. Codice articolo LU-9781611977899
Quantità: 2 disponibili
Da: Mispah books, Redhill, SURRE, Regno Unito
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82916119778946
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