PDF Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)
Description Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)
This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data. This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject.
Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics) PDF ePub
Quantitative Portfolio Management - with Applications in ~ This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily .
Quantitative Portfolio Management / SpringerLink ~ This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily .
Core Titles in Quantitative Finance from Springer ~ Quantitative Portfolio Management with Applications in Python. Series: Springer Texts in Business and Economics. . American Express or Paypal. After the purchase you can directly download the eBook file or read it online. Via MySpringer you can always re-download your eBooks. Hardcover. Information.
Core Titles in Quantitative Finance - springer ~ Quantitative Portfolio Management with Applications in Python. Series: Springer Texts in Business and Economics. . > Free worldwide shipping for print books . Your subject area in the Springer Book Archives! Click here to find all titles published between 1842 & 2004 in your field of science.
New & Forthcoming Titles Journals, Academic Books & Online ~ Quantitative Portfolio Management with Applications in Python. Series: Springer Texts in Business and Economics. Brugière, Pierre 2020. . Series: Springer Texts in Business and Economics. Hens, Thorsten, Rieger, Marc Oliver 2019. Price from 42,79 .
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