Reflexivity in Social Systems: The Theories of George Soros

Slides:



Advertisements
Similar presentations
SECOND ORDER ECONOMICS: AN EXAMPLE OF SECOND ORDER CYBERNETICS Stuart A. Umpleby Department of Management The George Washington University Washington,
Advertisements

A Second Expansion of Science Stuart A. Umpleby George Washington University Washington, DC.
Russian – American Discussions of Cybernetics and Systems Stuart A. Umpleby The George Washington University Washington, DC.
Behavioral Finance Ahmed Elshahat October 27 th 2006 CPE.
Fundamentals and History of Cybernetics 3 Stuart A. Umpleby The George Washington University Washington, DC
1 Microeconomics Lecture 1 Institute of Economic Theories - University of Miskolc Mónika Kis-Orloczki Assistant lecturer
The Sociological Point of View Examining Social Life
SOCIOLOGY Chapter 1: The Sociological Point of View
Sociology: Chapter 1 Section 1
SOCIOLOGY Chapter 1: The Sociological Point of View
Oligopoly The challenge of analyzing interdependent strategic decisions.
Cybernetics as a Language for Interdisciplinary Communication Stuart A. Umpleby The George Washington University Washington, DC
FNCE 3020 Financial Markets and Institutions Fall Semester 2005 Lecture 3 The Behavior of Interest Rates.
Stuart A. Umpleby The George Washington University Washington, DC The Financial Crisis: What Happened and How We Need to Change our Thinking.
Research and Methodology Lecture 2 1. Organization of this lecture Research and Methodology: Research defined and described Some classifications of research.
MBA & MBA – Banking and Finance (Term-IV) Course : Security Analysis and Portfolio Management Unit I: Introduction to Security Analysis Lesson No. 1.3–
mankiw's macroeconomics modules
Copyright © 2004 South-Western/Thomson Learning Lecture 1: Introduction Outline I. What is economics? the main questions economics attempts to answer economic.
SECOND ORDER SCIENCE: LOGIC, STRATEGIES, METHODS Stuart A. Umpleby Department of Management The George Washington University Washington, DC.
Traditional approaches to the formulation of an accounting theory
SECOND ORDER SCIENCE: LOGIC, STRATEGIES, METHODS Stuart A. Umpleby Department of Management The George Washington University Washington, DC.
  Provides information on what a company does, its financial performance, as well as its plans for the future  Companies with more than $10 Million.
Two Views of the Financial Crisis: Equilibrium Theory and Reflexivity Theory Stuart A. Umpleby The George Washington University Washington, DC
Fundamentals and History of Cybernetics 4 Stuart A. Umpleby The George Washington University Washington, DC
Introduction to Economics Chapter 17
Copyright © 2004 South-Western/Thomson Learning Thinking Like an Economist Every field of study has its own terminology Mathematics Integral, derivative,
Stuart A. Umpleby The George Washington University Washington, DC From Complexity to Reflexivity: The Next Step in the Systems Sciences.
Economics as Social Science Economic Methodology Lecture 2 Dominika Milczarek-Andrzejewska.
Investment and portfolio management MGT 531.  Lecture #31.
©2002 Prentice Hall Business Publishing, Introduction to Management Accounting 12/e, Horngren/Sundem/Stratton Chapter 18 More on Understanding Corporate.
A Reflexive View of a Transdisciplinary Field: The Case of Cybernetics
A General Theory of Regulation Stuart A. Umpleby The George Washington University Washington, DC.
Stuart A. Umpleby The George Washington University Washington, DC From Complexity to Reflexivity: The Next Step in the Systems Sciences.
A Brief Introduction of FE. What is FE? Financial engineering (quantitative finance, computational finance, or mathematical finance): –A cross-disciplinary.
CONCEPTIONS OF COMPLEXITY AND IMPLICATIONS FOR ECONOMICS Stuart A. Umpleby The George Washington University Washington, DC.
Investment and portfolio management MGT 531.  MGT 531   Lecture # 16.
Stock Prices A stock’s price is an indication of what investors believe a company is worth reflects a company's current value investor’s expectations.
THE SHIFT OF CYBERNETICS FROM THE US TO EUROPE Vitaliy Aretinskiy, Min Cho and Stuart Umpleby The George Washington University Washington, DC
Second Order Science: The Effect on Business and Social Science Research Stuart A. Umpleby The George Washington University Washington, DC
The stock market, rational expectations, efficient markets, and random walks The Economics of Money, Banking, and Financial Markets Mishkin, 7th ed. Chapter.
1 MBF 2263 Portfolio Management & Security Analysis Lecture 7 Efficient Market Hypothesis.
Sociology of Scientific Knowledge week 5 Economic Methodology.
1 THE DESIGN OF INTELLECTUAL MOVEMENTS Stuart Umpleby The George Washington University Washington, DC.
SECOND ORDER SCIENCE: REVITALIZING THE TRADITION
Russian – American Discussions of Cybernetics and Systems Science Stuart A. Umpleby The George Washington University Washington, DC.
Investment and portfolio management MGT531. The course is developed to include the following contents:  Key concepts of investment analysis and portfolio.
Chapter 2 Thinking Like an Economist Ratna K. Shrestha.
2008/01/30Lecture 11 Game Theory. 2008/01/30Lecture 12 What is Game Theory? Game theory is a field of Mathematics, analyzing strategically inter-dependent.
Thinking Like an Economist Chapter 2 Copyright © 2001 by Harcourt, Inc. All rights reserved. Requests for permission to make copies of any part of the.
Unifying Epistemologies by Combining World, Description and Observer Stuart A. Umpleby The George Washington University Washington, DC
Managing Portfolio for Individual Investors Jakub Karnowski, CFA Portfolio Management for Financial Advisers.
Research for Nurses: Methods and Interpretation Chapter 1 What is research? What is nursing research? What are the goals of Nursing research?
Portfolio Management Unit – III Session No. 22 Topic: Economic Analysis Unit – III Session No. 22 Topic: Economic Analysis.
A General Theory of Regulation Stuart A. Umpleby The George Washington University Washington, DC.
THE SHIFT OF CYBERNETICS FROM THE US TO EUROPE: IMPLICATIONS FOR UNDERSTANDING THE FINANCIAL CRISIS Min Cho, Mateo Ruggia and Stuart Umpleby The George.
LECTURE 1. The Subject of Macroeconomics. Assumptions and Models in Macroeconomics Marek Szczepański.
Thinking Like an Economist Every field of study has its own terminology Mathematics integrals  axioms  vector spaces Psychology ego  id  cognitive.
Creating a Science of Purposeful Systems
Chapter 1 The Sociological Point of View
Behavioral Finance.
© 2007 Thomson South-Western
SWARNAM S/UNIT 1/RISK & RETURN - CBS
SECOND ORDER SCIENCE: LOGIC, STRATEGIES, METHODS
Part I: Introduction to Business economics
SOCIOLOGY Chapter 1: The Sociological Point of View
© 2007 Thomson South-Western
© 2007 Thomson South-Western
© 2007 Thomson South-Western
Fundamentals and History of Cybernetics 4
Presentation transcript:

Reflexivity in Social Systems: The Theories of George Soros Stuart A. Umpleby The George Washington University Washington, DC 20052

What is “reflexivity” and why is it important? Definitions As context, the informal fallacies Brief descriptions of two reflexive theories – von Foerster and Lefebvre A longer description of Soros’s interpretation of reflexivity in social systems

Definitions “reflection” – the return of light or sound waves from a surface, the action of bending or folding back, an idea or opinion made as a result of meditation “reflexive” -- turned back on itself, a relation that exists between an entity and itself

Violations of informal fallacies The informal fallacies are merely “rules of thumb” for constructing effective arguments. But they have functioned as limitations on the scope of science Circular reasoning Ad hominem fallacy Shifting levels of analysis (reflexivity)

A decision is required Should traditions concerning the FORM of arguments limit the SCOPE of science? Or, should the subject matter of science be guided by curiosity and the desire to construct explanations of phenomena? Cyberneticians have historically chosen to “go where none have gone before”

Three reflexive theories Heinz von Foerster: Include the observer in the domain of science (1974) Vladimir Lefebvre: Reflect on the ethical system one is using (1982) George Soros: Individuals are actors as well as observers of economic and political systems (1987)

Von Foerster’s reflexive theory The observer should be included within the domain of science A theory of biology should be able to explain the existence of theories of biology “Reality” is a personal construct Individuals bear ethical responsibility not only for their actions but also for the world as they perceive it

Lefebvre’s reflexive theory There are two systems of ethical cognition People are “imprinted” with one or the other ethical system at an early age One’s first response is always to act in accord with the imprinted ethical system However, one can learn the other ethical system and act in accord with it when one realizes that the imprinted system is not working

Soros’s reflexive theory Soros’s theory is compatible with second order cybernetics and other systems sciences Soros uses very little of the language of cybernetics and systems science Soros’s theory provides a link between second order cybernetics and economics, finance, and political science

Reception of Soros’s work Soros’s theory is not well-known in the systems and cybernetics community Soros’s theory is not yet widely used by economists or finance professors, despite his success as a financial manager Soros has a participatory, not purely descriptive, theory of social systems

Soros and Karl Popper Soros studied with Karl Popper at the London School of Economics He has worked to implement Popper’s idea of “open societies” Soros uses Popper‘s idea of conjectures and refutations” to guide his investments and social interventions

Soros on the philosophy of science Soros rejects Popper’s “doctrine of the unity of method,” the idea that all disciplines should use the same methods of inquiry as the natural sciences Soros says in social systems there are two processes – observation and participation The natural sciences involve only observation

Two contextual ideas A general theory of the evolution of systems Various ways of describing systems

Karl Mueller’s epigenetic theory Genotype Phenotype   Karl Mueller’s epigenetic theory  

Ways that disciplines describe social systems Variables – physics, economics Events – computer science, history Groups – sociology, political science Ideas – psychology, philosophy, anthropology Interaction between ideas and events, a “shoelace model”

A model of social change using four methods for describing systems Ideas Variables Groups Events   A model of social change using four methods for describing systems  

A reflexive theory operates at two levels Ideas Variables Groups Events   A reflexive theory operates at two levels  

How reflexivity theory is different Classical scientific theories operate in the realm of VARIABLES and IDEAS Soros’s reflexivity theory describes the whole process of social change – IDEAS, GROUPS, EVENTS, VARIABLES, IDEAS Reflexivity is the process of shifting back and forth between description and action

The effect of “bias” in social systems Bias (perception) is the main driving force in historical processes Ways of thinking influence situations Cognition: perception = f (situation) Action: situation = f (perception) Both: reflexivity

The efficient market hypothesis Economists assume that markets are efficient and that information is immediately reflected in market prices Soros says that markets are always biased in one direction or another Markets can influence the events they anticipate

Equlibrium vs. reflexivity An increase in demand will lead to higher prices which will decrease demand An drop in supply will lead to a higher price which will increase supply For “momentum investors” rising price is a sign to buy, hence further increasing price A falling price will lead many investors to sell, thus further reducing price

Examples in business and economics The conglomerate boom Real Estate Investment Trusts (REITs) The venture capital boom and collapse The credit cycle The currency market

The conglomerate boom A high tech company with a high P/E ratio begins to diversity It buys consumer goods companies with high dividends but low P/E ratios As earnings improve, the price of the conglomerate rises A high stock price means greater ability to borrow

The conglomerate boom (continued) The conglomerate borrows to buy more consumer goods companies Earnings per share continue to grow Investors eagerly buy more stock Eventually people realize that the character of the company has changed and a high P/E ratio is not justified

Finance professors vs. Soros Most academic work in the field of finance involves building mathematical models Soros treats finance as a multi-person game involving human players, including himself Behavioral finance is a growing field, but it tends to focus on defining limits to the assumption that people are rational actors

The process of selecting a portfolio Observation and experience Beliefs about future performances (Soros focuses here) Choice of portfolios (Markowitz focuses here)

Markowitz vs. Soros Widely used by financial managers Based on math and statistics Assumes a tendency to market equilibrium Focus is on historical data Not commonly used by financial managers Based on economics, psychology, national policies Assumes market disequilibrium Focus is on future decisions

Markowitz vs. Soros Emphasize balanced returns Define investor’s risk-return preference Evaluate risk-return relations Analyze data Avoid volatility Emphasize high absolute returns Define investor’s time frame Evaluate price levels relative to perception Analyze behavior Avoid losses

Markowitz vs. Soros Make successful investments Diversify investments Optimize portfolio selection Information management Take some strategic chances Focus investments Optimize market timing Knowledge management

Soros on political systems Look for gaps between perception and “reality” A large gap means the system is unstable When people realize that description and reality are far apart, legitimacy collapses For example, glasnost destroyed the legitimacy of the USSR Communist Party

Misperceiving the USSR Soviet studies experts in the West assumed the convergence theory -- The West would adopt elements of a welfare state and the USSR would liberalize The West did adopt some elements of welfare states The USSR did not liberalize, as China is now doing, at least in its economy

Soros looks for Rapid growth: Positive feedback systems – conglomerate boom, credit cycle, REITs, the high tech bubble Instability before collapse: Gaps between perception and reality – conglomerate boom, etc., claims of USSR Communist Party, overextension of US power

Conclusion Soros’s theories expand the field of finance beyond mathematical models to anticipating the behavior of financial participants Soros suggests a way to anticipate major political changes Soros’s reflexivity theory provides links between cybernetics and economics, finance, and political science

Presented at the annual meeting of the American Society for Cybernetics The George Washington University Washington, DC October 27-30, 2005