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This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.
eBook details
- Title: Implementing Models in Quantitative Finance: Methods and Cases (Springer Finance)
- Author : Gianluca Fusai, Andrea Roncoroni
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- Genre: Kindle Store,Kindle eBooks,Science & Math
- Pages : * pages
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