Applied quantitative finance : using Python for financial analysis / Mauricio Garita.
Garita, Mauricio, author.
2021
HG173 .G37 2021
Available Online

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Title
Applied quantitative finance : using Python for financial analysis / Mauricio Garita.
Author
Garita, Mauricio, author.
ISBN
9783030291419 (electronic bk.)
3030291413 (electronic bk.)
9783030291402
3030291405
DOI
https://doi.org/10.1007/978-3-030-29141-9
Published
Cham : Palgrave Macmillan, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-3-030-29141-9 doi
Call Number
HG173 .G37 2021
Dewey Decimal Classification
332.02855133
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 14, 2021).
Series
Palgrave pivot.
Available in Other Form
Applied quantitative finance.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

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