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Quantitative Finance with Python

- A Practical Guide to Investment Management, Trading, and Financial Engineering
Af: Chris Kelliher Engelsk Hardback

Quantitative Finance with Python

- A Practical Guide to Investment Management, Trading, and Financial Engineering
Af: Chris Kelliher Engelsk Hardback
Tjek vores konkurrenters priser

Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors.

Features

  • Useful as both a teaching resource and as a practical tool for professional investors.
  • Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering.
  • Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning.
  • Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.

Tjek vores konkurrenters priser
Normalpris
kr 1.049
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors.

Features

  • Useful as both a teaching resource and as a practical tool for professional investors.
  • Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering.
  • Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning.
  • Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.

Produktdetaljer
Sprog: Engelsk
Sider: 659
ISBN-13: 9781032014432
Indbinding: Hardback
Udgave:
ISBN-10: 1032014431
Udg. Dato: 20 maj 2022
Længde: 46mm
Bredde: 260mm
Højde: 185mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 20 maj 2022
Forfatter(e): Chris Kelliher
Forfatter(e) Chris Kelliher


Kategori Matematisk modellering


ISBN-13 9781032014432


Sprog Engelsk


Indbinding Hardback


Sider 659


Udgave


Længde 46mm


Bredde 260mm


Højde 185mm


Udg. Dato 20 maj 2022


Oplagsdato 20 maj 2022


Forlag Taylor & Francis Ltd

Kategori sammenhænge