Implementing Models in Quantitative Finance: Methods and Cases (Springer Finance)
Implementing Models in Quantitative Finance: Methods and Cases (Springer Finance)

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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.

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  • Released: November 16, 2020
  • Author: Gianluca Fusai,Andrea Roncoroni
  • Rating: 4,1
  • Publisher: Ebook DIgital Agency
  • Total Page: 1005 pages
  • File Size: 3670 KB
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