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Applied quantitative finance = using...

Garita, Mauricio.

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Applied quantitative finance = using Python for financial analysis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied quantitative finance/ by Mauricio Garita.
其他題名:	using Python for financial analysis /
作者:	Garita, Mauricio.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxvi, 240 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Finance - Data processing. -
電子資源:	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. - Cham :Springer International Publishing :2021. - xxvi, 240 p. :ill., digital ;24 cm.

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:

657417
Finance
--Data processing.

LC Class. No.: HG173 / .G37 2021

Dewey Class. No.: 332.02855133

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