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Anomalies in Net Present Value, Returns and Polynomials, and Regret Theory in Decision-Making

Overview of attention for book
Cover of 'Anomalies in Net Present Value, Returns and Polynomials, and Regret Theory in Decision-Making'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Spatio-Temporal Framing Anomalies in the NPV-MIRR-IRR Model and Related Approaches; and Regret Theory
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    Chapter 3 Regret Theory and Asset Pricing Anomalies in Incomplete Markets with Dynamic Unaggregated Preferences
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    Chapter 4 The Descartes’ Sign Rule, Sturm’s Theorem, Vincent’s Theorem and the Fourier-Budan Theorem Are Wrong
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    Chapter 5 MN-2 Invariants and Homomorphisms for Solving Polynomials; And Anomalies in the Binomial Theorem and the Fundamental Theorem Of Algebra
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    Chapter 6 The Historical and Current Concepts of “Plain” Interest Rates, Forward Rates and Discount Rates Are or Can Be Misleading
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    Chapter 7 On Algebraic Anomalies in Polynomials and Net Present Value Decisions
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    Chapter 8 Some Biases and Evolutionary Homomorphisms Implicit in the Calculation of Returns
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    Chapter 9 Conclusion
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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30 Dimensions

Readers on

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41 Mendeley
Summary X Dimensions citations
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Title
Anomalies in Net Present Value, Returns and Polynomials, and Regret Theory in Decision-Making
Published by
arXiv, June 2017
DOI 10.1057/978-1-137-44698-5
ISBNs
978-1-137-44697-8, 978-1-137-44698-5
Authors

Nwogugu, Michael C. I., Michael Nwogugu

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Student > Master 7 17%
Researcher 3 7%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 6 15%
Unknown 12 29%
Readers by discipline Count As %
Business, Management and Accounting 6 15%
Economics, Econometrics and Finance 5 12%
Engineering 5 12%
Mathematics 2 5%
Computer Science 2 5%
Other 7 17%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 May 2020.
All research outputs
#20,476,619
of 23,036,991 outputs
Outputs from arXiv
#676,367
of 946,415 outputs
Outputs of similar age
#275,901
of 317,209 outputs
Outputs of similar age from arXiv
#15,997
of 18,624 outputs
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So far Altmetric has tracked 946,415 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,624 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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