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Risk-Return Analysis Volume 3 Harry M. Markowitz

Risk-Return Analysis Volume 3 By Harry M. Markowitz

Risk-Return Analysis Volume 3 by Harry M. Markowitz


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Risk-Return Analysis Volume 3 Summary

Risk-Return Analysis Volume 3 by Harry M. Markowitz

The man who created investing as we know it provides critical insights, knowledge, and tools for generating steady profits in todays economy.

When Harry Markowitz introduced the concept of examining and purchasing a range of diverse stocksin essence, the practice of creating a portfoliohe transformed the world of investing. The idea was novel, even radical, when he presented it in 1952 for his dissertation. Today, its second-nature to the majority of investors worldwide.

Now, the legendary economist returns with the third volume of his groundbreaking four-volume Risk-Return Analysis series, where he corrects common misperceptions about Modern Portfolio Theory (MPT) and provides critical insight into the practice of MPT over the last 60 years. He guides you through process of making rational decisions in the face of uncertaintymaking this a critical guide to investing in todays economy.

From the Laffer Curve to RDM Reasoning to Finite Ordinal Arithmetic to the ideas and concepts of some of historys most influential thinkers, Markowitz provides a wealth and depth of financial knowledge, wisdom, and insights you would be hard pressed to find elsewhere.

This deep dive into the theories and practices of the investing legend is what you need to master strategic portfolio management designed to generate profits in good times and bad.

About Harry M. Markowitz

Harry M. Markowitz is president of Harry Markowitz Co. in San Diego. In 1990, he was jointly awarded the Nobel Prize for economics with Merton Miller and William Sharpe.

Table of Contents

Preface
The Rational Decision Maker
Words of Wisdom
John von Neumann

Acknowledgments

13. Predecessors
Introduction
Rene Descartes
There Is No Is, Only Was and Will Be
Working Hypotheses
RDM Reasoning
David Hume
Eudaimonia
Financial Economic Discoveries
Economic Analyses That Have Stood
the Test of Time
Constructive Skepticism
Isaac Newton, Philosopher
Fields Other Than Physics
Karl Popper
Mysticism
Caveats
Charles Peirce
Immanuel Kant
What an RDM Can Know A Priori

14. Deduction First Principles
Introduction
The Great Debate
One More Reason for Studying
Cantors Set Theory
Very Few Understood It
Finite Cardinal Arithmetic
Relative Sizes of Finite Sets
Finite Ordinal Arithmetic
Standard Ordered Sets (SOSs)
Finite Cardinal and Ordinal Numbers
Cantor (101)
Theorem
Proof
Corollary
Proof
Transfinite Cardinal Numbers
The Continuum Hypothesis
Transfinite Cardinal Arithmetic
Lemma
Transfinite Ordinal Numbers
Examples of Well-Ordered and
Not Well-Ordered Sets
Transfinite Ordinal Arithmetic
Extended SOSs
Lemma
Proof
The Paradoxes (a.k.a. Antimonies)
Three Directions
From Aristotle to Hume to Hilbert
British Empiricism versus Continental
Rationalism
Who Created What?
Cantor Reconsidered
Brouwers Objections
Axiomatic Set Theory
Peanos Axioms (PAs)
Hilberts Programs
Whitehead and Russell
Zermelos Axioms
The Axiom of Choice
The Trichotomy Equivalent to the Axiom of Choice
Kurt Godel (19061978)
Thoralf Skolem (18871863)

15. Logic is Programming is Logic
Introduction
Terminology
Number Systems and the EAS Structures
Built on Them
Deductive Systems as Programming Languages
A Variety of Deductive DSSs
Alternative Rules of Inference
Ladders and Fire Escapes
Organon 2000: From Ancient Greek
to Symbolic Logic
So, Whats New?
Immediate Consequences
Two Types of Set Ownership
Modeling Modeling
EAS-E Deduction: Status

16. The Infinite and The Infinitesimal
Points and Lines
Fields
Constructing the Infinitesimals
Infinite-Dimensional Utility Analysis
The Algebraic Structure Called A Field

17. Induction Theory
Introduction
The Story Thus Far
Concepts
Basic Relationships
Examples
Objective Probability
The Formal M59 Model
Initial Consequences
Bayess Rule
A Bayesian View of MVA
Judgment, Approximation and Axiom III
(1) A Philosophical Difference between
S54 and M59
Examples of Clearly Objective Probabilities
Propositions about Propositions
A Problem with Axiom II
Are the j
Probabilities the Scaling of the j
?
The j
Mix on a Par with Objective Probabilities

18. Induction Practice
Introduction
R. A. Fisher and Neyman-Pearson Hypothesis Tests
The Likelihood Principle
Andrei Kolmogorov
A Model of Models
The R.A. Fisher Argument
Bayesian Conjugate Prior Procedures

19. Eudaimonia
Review
Eudaimonia for the Masses

Notes

References

Index

Additional information

NPB9780071818315
9780071818315
0071818316
Risk-Return Analysis Volume 3 by Harry M. Markowitz
New
Hardback
McGraw-Hill Education - Europe
2020-07-22
336
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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