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Quantitative finance with Pythona practical guide to investment management, trading, and financial engineering /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative finance with PythonChris Kelliher.
Reminder of title:	a practical guide to investment management, trading, and financial engineering /
Author:	Kelliher, Chris.
Published:	Boca Raton, FL :Chapman & Hall/CRC Press,2022.
Description:	1 online resource.
Subject:	InvestmentsManagement.
Online resource:	https://www.taylorfrancis.com/books/9781003180975
ISBN:	9781003180975$q(electronic bk.)

Quantitative finance with Pythona practical guide to investment management, trading, and financial engineering /
Kelliher, Chris.

Quantitative finance with Pythona practical guide to investment management, trading, and financial engineering /[electronic resource] :Chris Kelliher. - 1st ed. - Boca Raton, FL :Chapman & Hall/CRC Press,2022. - 1 online resource. - Chapman & Hall/CRC Financial Mathematics series. - Chapman & Hall/CRC Financial Mathematics series..

Includes bibliographical references and index.

"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 code available at www.routledge.com/ 9781032014432"--

ISBN: 9781003180975$q(electronic bk.)Subjects--Topical Terms:

782524
Investments
--Management.

LC Class. No.: HG4515.2

Dewey Class. No.: 332.6

Quantitative finance with Pythona practical guide to investment management, trading, and financial engineering /
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245 1 0 $a Quantitative finance with Python $h [electronic resource] : $b a practical guide to investment management, trading, and financial engineering / $c Chris Kelliher.
250 $a 1st ed.
260 $a Boca Raton, FL : $b Chapman & Hall/CRC Press, $c 2022.
300 $a 1 online resource.
490 1 $a Chapman & Hall/CRC Financial Mathematics series
504 $a Includes bibliographical references and index.
520 $a "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 code available at www.routledge.com/ 9781032014432"-- $c Provided by publisher.
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830 0 $a Chapman & Hall/CRC Financial Mathematics series. $3 995748
856 4 0 $u https://www.taylorfrancis.com/books/9781003180975