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Multicriteria Portfolio Construction with Python

on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief;

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Multicriteria Portfolio Management

. This work integrates the two approaches providing a unified model for decision making in portfolio management with multiple criteria.;

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Multicriteria DecisionMaking Under Conditions of Uncertainty

A guide to the various models and methods to multicriteria decision-making in conditions of uncertainty presented in a systematic approach;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case;

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Portfolio Construction and Risk Budgeting

This revised and updated second edition systematically discusses the area of portfolio construction and risk budgeting from an asset;

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Portfolio Construction and Risk Budgeting

This revised and updated second edition systematically discusses the area of portfolio construction and risk budgeting from an asset;

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The Complete Guide to Portfolio Construction and Management

Guide to Portfolio Construction and Management provides practical investment advice for building a robust, diversified portfolio. Written by a;

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Handbook of Portfolio Construction

Portfolio construction is fundamental to the investment management process. In the 1950s, Harry Markowitz demonstrated the benefits;

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Handbook of Portfolio Construction

Portfolio construction is fundamental to the investment management process. In the 1950s, Harry Markowitz demonstrated the benefits;

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Modern Portfolio Optimization with NuOPT(TM), S-PLUS®, and S+Bayes(TM)

In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund;

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Quantitative Portfolio Management: With Applications in Python

. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and;

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Python 3

, the textbook develops case studies to facilitate the practical application of Python system construction metho;

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Spatial Multicriteria Decision Making and Analysis

First published in 1999, this volume consists of selected papers presented at the North American Meetings of the RSAI along with invited;

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Multicriteria Optimization

- Collection of results of multicriteria optimization, including nonlinear, linear and combinatorial optimization problems - Includes;

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Multicriteria Optimization

- Collection of results of multicriteria optimization, including nonlinear, linear and combinatorial optimization problems - Includes;

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Python Fundamentals

built up an impressive portfolio of projects and armed yourself with the skills you need to tackle Python projects in the real world. What you;

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Personal Finance with Python

is about Python and personal finance and how you can effectively mix the two together. In Personal Finance with Python you will learn Python and;

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Quantitative Portfolio Management

. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and;

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Fuzzy Multicriteria DecisionMaking

Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applications addresses theoretical and practical gaps in considering;

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Modern Portfolio Management - Moving Beyond Modern Portfolio Theory

, you'll also: Discover why Modern Portfolio Theory is at odds with developments in the field of Behavioral Finance Examine the never;

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Quantitative Fund Management

The second section covers nontrivial computational approaches to tactical fund management. This part focuses on portfolio construction and;

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Multicriteria Decision Making and Differential Games

revise, update, or enlarge upon their earlier publications. The theory of multicriteria decision making and differential games is concerned with;

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Portfolio Analytics

constraints interfere substantially in the construction of optimized portfolios. As a conclusion, the book provides the reader with all the essential;

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Multicriteria Decision Aid And Artificial Intelligence

the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have;

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Algorithmic Short Selling with Python

only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long;

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Hands-on Signal Analysis with Python

with the Laplace transform. A brief excursion into machine learning shows the powerful tools that are available with Python. This book also;

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Quantitative Fund Management

The second section covers nontrivial computational approaches to tactical fund management. This part focuses on portfolio construction and;

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