
Risk-Return Analysis, Volume 2: The Theory and Practice of Rational Investing
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Content
- Cover Page
- Title Page
- Copyright Page
- Addendum to Volume I
- Contents
- Preface
- Acknowledgments
- Chapter 6. The Portfolio Selection Context
- Introduction
- Temporal Structure and Today's Choice
- Stakeholders Versus "the Investor"
- Investor Roles
- Diversification Needs and Opportunities: Recognized and Unrecognized
- Agenda: Analysis, Judgment, and Decision Support Systems
- Chapter 7. Modeling Dynamic Systems
- Introduction
- Definitions
- The EAS-E Worldview
- The Modeling Process
- An EAS Example
- Graphical Depiction of Attributes
- Graphical Depiction of Sets
- Further Specifications
- Describing Time
- Simultaneity
- Endogenous Events Versus Endogenous Phenomena
- JLMSim Events
- Simplicity, Complexity, Reality
- The SIMSCRIPT Advantage
- GuidedChoice and the Game of Life
- The GC DSS Database
- Simulator Versus DSS Modeling
- Issues and Alternatives
- The SIMSCRIPTs
- The Process View
- Subsidiary Entities
- SIMSCRIPT III Features
- Continued in Chapter 12
- Chapter 8. Game Theory and Dynamic Programming
- Introduction
- PRWSim (a Possible Real-World Simulator)
- Concepts from Game Theory
- Non-"Theory of Games" Games
- Randomized Strategies
- The Utility of a Many-Period Game
- Dynamic Programming
- Solving Tic-Tac-Toe
- Conditional Expected Value: An Example
- Generalization
- Partitions, Information, and DP Choice: An Example
- Generalization: Two Types of Games
- The Curse of Dimensionality
- Factorization, Simplification, Exploration, and Approximation
- Chapter 9. The Mossin-Samuelson Model
- Introduction
- The MS Model and Its Solution
- Markowitz Versus Samuelson: Background
- Glide-Path Strategies and Their Rationales
- Relative Risk Aversion
- The GuidedSavings Utility Function
- The Well-Funded Case
- A Game-of-Life Utility Function
- Chapter 10. Portfolio Selection as a Social Choice
- Introduction
- Arrow's Paradox
- The Goodman and Markowitz (1952) (GM) Theorems
- Social Ordering for RDMs
- Hildreth's Proposal
- Markowitz and Blay (MB) Axioms
- Arithmetic Versus Geometric Mean Utility
- Symmetry Revisited
- Rescaling Ploys
- Voting Blocks
- The Luce, Raiffa, and Nash (LRN) Choice Rule
- Nash Symmetry
- A Proposal
- Liberté, Égalité, Prospérité
- Chapter 11. Judgment and Approximation
- Introduction
- EU Maximization: Exact, Approximate
- Explicit, Implicit
- The Household as Investor
- The Markowitz and van Dijk Methodology
- The Blay-Markowitz NPV Analysis
- The TCPA Process
- Estimating PV Means, Variances, and Covariances
- Displaying the Efficient Frontier
- Resampled AC/LOC Portfolios
- TCPA 1.0 Assumptions
- Beyond Markowitz
- "Buckets": A Brief Literature Review
- The "Answer Game"
- First the Question, Then the Answer
- Chapter 12. The Future
- Introduction
- JSSPG
- Proposals
- Current Practice
- Agenda
- Level 6
- SIMSCRIPT Facilities
- IBM EAS-E Features
- Like the Phoenix
- Level 7
- SIMSCRIPT M Enhancements
- Computing: Past, Present, and Future
- Von Neumann (1958): The Computer and the Brain
- The Computer and the Brain, Revisited
- Emulation, Not Replication
- Event Invocation of a Third Kind
- Processes That Process Processes
- Easily Parallelized Processes (EPPs)
- Local Resource Groups
- Micro Versus Macro Parallelization
- Epilogue
- Notes
- References
- Index
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