Suchen

Kelliher, Chris: Quantitative Finance with Python (eBook)

A Practical Guide to Investment Management, Trading, and Financial Engineering

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.


Details

Verlag Taylor & Francis Ltd.
Einband PDF
Erscheinungsjahr 2022
Seitenangabe 697 S.
Meldetext Versand innert 1-2 Arbeitstagen
Untertitel A Practical Guide to Investment Management, Trading, and Financial Engineering
Ausgabekennzeichen Englisch
Abbildungen 120 schwarz-weiße Abbildungen, 120 schwarz-weiße Zeichnungen, 53 schwarz-weiße Tabellen
Artikelart Download
Auflage 1. Auflage
Plattform PDF
Autor Kelliher, Chris
Artikelnummer: 978-1-00-058230-7
Verfügbarkeit: Versand innert 1-2 Arbeitstagen
Fr. 132.85
decrease increase
Teilen

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.


Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Rezensionen verfassen
  • Schlecht
  • Sehr gut

Über den Autor Kelliher, Chris

Chris Kelliher is a Senior Quantitative Researcher in the Global Asset Allocation group at Fidelity Investments. In addition, Mr. Kelliher is a Lecturer in the Masters in Mathematical Finance and Financial Technology program at Boston University's Questrom School of Business. In this role he teaches multiple graduate level courses including Computational Methods in Finance, Fixed Income & Programming for Quant Finance. Prior to joining Fidelity in 2019, Mr. Kelliher served as a portfolio manager for RDC Capital Partners. Before joining RDC, Mr. Kelliher served as a principal and quantitative portfolio manager at a leading quantitative investment management firm, FDO Partners. Prior to FDO, Mr. Kelliher was a senior quantitative portfolio analyst and trader at Convexity Capital Management and a senior quantitative researcher at Bracebridge Capital. He has been in the financial industry since 2004. Mr. Kelliher earned a BA in Economics from Gordon College, where he graduated Cum Laude with Departmental Honours, and an MS in Mathematical Finance from New York University's Courant Institute.

Weitere Titel von Kelliher, Chris

Filters
Sort
display