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1. |
Record Nr. |
UNINA990002535690403321 |
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Autore |
Jacoby, William G. |
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Titolo |
Data Theory and Dimensional Analysis / William G. Jacoby |
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Pubbl/distr/stampa |
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Newbury Park : Sage, 1991 |
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Descrizione fisica |
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Collana |
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Quantitative applications in the social sciences ; 78 |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910497086603321 |
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Autore |
Garita Mauricio |
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Titolo |
Applied Quantitative Finance : Using Python for Financial Analysis / / by Mauricio Garita |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (257 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Econometrics |
Financial statements |
Mathematics |
Quantum computers |
Quantitative Economics |
Financial Reporting |
Applications of Mathematics |
Quantum Computing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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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Sommario/riassunto |
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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. . |
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