Implementing Models in Quantitative Finance 2024 pdf epub mobi 電子書 下載


Implementing Models in Quantitative Finance

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This book puts numerical methods into action for the purpose of solving concrete problems arising in quantitative finance. Part one develops a comprehensive toolkit including Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, transform-based methods and quadrature techniques. The content originates from class notes written for courses on numerical methods for finance and exotic derivative pricing held by the authors at Bocconi University since the year 2000. Part two proposes eighteen self-contained cases covering model simulation, derivative valuation, dynamic hedging, portfolio selection, risk management, statistical estimation and model calibration. It encompasses a wide variety of problems arising in markets for equity, interest rates, credit risk, energy and exotic derivatives. Each case introduces a problem, develops a detailed solution and illustrates empirical results. Proposed algorithms are implemented using either MatlabA(R) or Visual Basic for ApplicationsA(R) in collaboration with contributors.

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Implementing Models in Quantitative Finance 2024 pdf epub mobi 電子書 下載

Implementing Models in Quantitative Finance 2024 pdf epub mobi 電子書 下載

Implementing Models in Quantitative Finance 2024 pdf epub mobi 電子書 下載



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出版者:Springer
作者:Gianluca Fusai
出品人:
頁數:607
譯者:
出版時間:2008-03-04
價格:USD 99.00
裝幀:Hardcover
isbn號碼:9783540223481
叢書系列:springer finance

圖書標籤: 金融  springer_finance  Quantitative  量化  finance  金融工程  英文原版  quantitative   


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