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Computational Methods in Finance

Om Computational Methods in Finance

Computational Methods in Finance is a book developed from the author's courses at Columbia University and the Courant Institute of New York University. This self-contained text is designed for graduate students in financial engineering and mathematical finance, as well as practitioners in the financial industry. It will help readers accurately price a vast array of derivatives. This new edition has been thoroughly revised throughout to bring it up to date with recent developments. It features numerous new exercises and examples, as well as two entirely new chapters on machine learning. Features Explains how to solve complex functional equations through numerical methods Includes dozens of challenging exercises Suitable as a graduate-level textbook for financial engineering and financial mathematics or as a professional resource for working quants.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781498778602
  • Format:
  • Inbunden
  • Utgiven:
  • 30. augusti 2024
  • Mått:
  • 178x254x35 mm.
  • Vikt:
  • 1324 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 12. december 2024
Förlängd ångerrätt till 31. januari 2025

Beskrivning av Computational Methods in Finance

Computational Methods in Finance is a book developed from the author's courses at Columbia University and the Courant Institute of New York University. This self-contained text is designed for graduate students in financial engineering and mathematical finance, as well as practitioners in the financial industry. It will help readers accurately price a vast array of derivatives. This new edition has been thoroughly revised throughout to bring it up to date with recent developments. It features numerous new exercises and examples, as well as two entirely new chapters on machine learning.
Features
Explains how to solve complex functional equations through numerical methods Includes dozens of challenging exercises Suitable as a graduate-level textbook for financial engineering and financial mathematics or as a professional resource for working quants.

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