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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
book

Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios

by Tshepo Chris Nokeri
May 2021
Intermediate to advanced
192 pages
2h 42m
English
Apress
Content preview from Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
T. C. NokeriImplementing Machine Learning for Financehttps://doi.org/10.1007/978-1-4842-7110-0_9

9. Investment Portfolio and Risk Analysis

Tshepo Chris Nokeri1  
(1)
Pretoria, South Africa
 

This chapter properly concludes the book by covering a comprehensive framework for investment portfolio and risk analysis. Thus far, we have developed several machine learning models and deep learning models for robust investment management decision-making. Throughout the book, we alluded to investing in markets involving risk. In this chapter, we present the primitives of investment risk and performance analysis using the Pyfolio package. To install Pyfolio in the Python ...

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Publisher Resources

ISBN: 9781484271100Purchase LinkPublisher Website