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Applied Quantitative Finance = Using Python for Financial Analysis /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied Quantitative Finance/ by Mauricio Garita.
Reminder of title:	Using Python for Financial Analysis /
Author:	Garita, Mauricio.
Description:	XXVI, 240 p. 613 illus., 601 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Economic theory. -
Online resource:	https://doi.org/10.1007/978-3-030-29141-9
ISBN:	9783030291419

Applied Quantitative Finance = Using Python for Financial Analysis /
Garita, Mauricio.

Applied Quantitative FinanceUsing Python for Financial Analysis /[electronic resource] :by Mauricio Garita. - 1st ed. 2021. - XXVI, 240 p. 613 illus., 601 illus. in color.online resource.

1. How to use python? -- 2. Using data structures in Python -- 3. Using Data in Python -- 4. Descriptive statistics using Python -- 5. Statistical approach to multiple variables -- 6. Comparing stocks between companies -- 7. Porfolio and Risk -- 8. Value at Risk.

This book provides conceptual knowledge on quantitative finance and a hands-on experience using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and also the interpretation of the results. The book will satisfy the lack of information concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of advance finance as it gives a descriptive process for students, academics and practitioners. .

ISBN: 9783030291419

Standard No.: 10.1007/978-3-030-29141-9doiSubjects--Topical Terms:

809881
Economic theory.

LC Class. No.: HB1-846.8

Dewey Class. No.: 330.1

Applied Quantitative Finance = Using Python for Financial Analysis /
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