How Long to Read Multicriteria Portfolio Construction with Python

How Long Does it Take to Read Multicriteria Portfolio Construction with Python?

It takes the average reader 3 hours to read Multicriteria Portfolio Construction with Python by Elissaios Sarmas

Assuming a reading speed of 250 words per minute. Learn more

Description

This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.

How long is Multicriteria Portfolio Construction with Python?

Multicriteria Portfolio Construction with Python by Elissaios Sarmas is 176 pages long, and a total of 45,056 words.

This makes it 59% the length of the average book. It also has 55% more words than the average book.

How Long Does it Take to Read Multicriteria Portfolio Construction with Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 6 minutes to read Multicriteria Portfolio Construction with Python aloud.

What Reading Level is Multicriteria Portfolio Construction with Python?

Multicriteria Portfolio Construction with Python is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Multicriteria Portfolio Construction with Python?

Multicriteria Portfolio Construction with Python by Elissaios Sarmas is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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