東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Applied quantitative finance = using...

Garita, Mauricio.

Linked to FindBook

Google Book

Amazon

博客來

Applied quantitative finance = using Python for financial analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied quantitative finance/ by Mauricio Garita.
Reminder of title:	using Python for financial analysis /
Author:	Garita, Mauricio.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxvi, 240 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Finance - Data processing. -
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. - 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

Applied quantitative finance = using Python for financial analysis /
LDR:01814nmm a2200325 a 4500 001 2249173
003 DE-He213
005 20210903110438.0
006 m d
007 cr nn 008maaau
008 220103s2021 sz s 0 eng d
020 $a 9783030291419 $q (electronic bk.)
020 $a 9783030291402 $q (paper)
024 7 $a 10.1007/978-3-030-29141-9 $2 doi
035 $a 978-3-030-29141-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HG173 $b .G37 2021
072 7 $a KCA $2 bicssc
072 7 $a BUS069030 $2 bisacsh
072 7 $a KCA $2 thema
082 0 4 $a 332.02855133 $2 23
090 $a HG173 $b .G232 2021
100 1 $a Garita, Mauricio. $3 3514344
245 1 0 $a Applied quantitative finance $h [electronic resource] : $b using Python for financial analysis / $c by Mauricio Garita.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Pivot, $c 2021.
300 $a xxvi, 240 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Finance $x Data processing. $3 657417
650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Economic Theory/Quantitative Economics/Mathematical Methods. $3 2162305
650 2 4 $a Accounting/Auditing. $3 895555
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Quantum Computing. $3 1620399
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-29141-9
950 $a Economics and Finance (SpringerNature-41170)