measuring emotive meaning dr. michael k. green suny-oneonta oneonta, ny, usa

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Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

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Page 1: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Measuring Emotive Meaning

Dr. Michael K. Green

SUNY-Oneonta

Oneonta, NY, USA

Page 2: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

Several prominent economic thinkers have recognized the importance of emotional factors to economic processes.

Page 3: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

• Pareto identified two basic emotions– The sentiment of combination, which is the

tendency to invent and undertake adventures.

– The sentiment of preservation, which is the tendency to consolidate, preserve, and make secure.

• Economic change arises from the oscillation between these two sentiments.

Page 4: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

• According to Knight, the fundamental uncertainty that underlies production gives rise to a system in which production depends upon the willingness of an entrepreneur to act, which in turn depends upon his confidence in his own judgment and his conative attitude toward uncertainty.

Page 5: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

Knight states:

The abundance or scarcity of mere ability to manage business successfully exerts relatively little influence on profit; the main thing is the rashness or timidity of entrepreneurs (actual and potential) as a class in bidding up the prices of productive services.

Page 6: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

According to Keynes, economic fluctuations can be partly explained by endogenous or spontaneous shifts from optimism to pessimism or from pessimism to optimism.

Page 7: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

• Keynes states: Even apart from the instability due to speculation, there is the instability due to the characteristic of human nature that a large proportion of our positive activities depend on spontaneous optimism rather than mathematical expectations, whether moral or hedonistic or economic. Most, probably, of our decisions to do something positive, the full consequences of which will be drawn out over many days to come, can only be taken as the result of animal spirits—a spontaneous urge to action rather than inaction, and not as the outcome of a weighted average of quantitative benefits multiplied by quantitative probabilities.

Page 8: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

According to Keynes,

human decisions affecting the future, whether personal or political or economic, cannot depend on strict mathematical expectation, since the basis for making such calculations does not exist ... it is our innate urge to activity that makes the wheel go around

Page 9: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Historical Precedents

• According to Keynes,

the market will be subject to waves of optimistic and pessimistic sentiment, which are unreasoning and yet in a sense legitimate where no solid basis exist for reasonable calculation.

Page 10: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Theory

• Can theoretical grounds be found for these insights?

Page 11: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Theory

• Social institutions are created through social interaction.

• When entering an interaction with others, individuals attempt to create situations that confirm appropriate shared sentiments and thereby maintain their identities.

Page 12: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Theory

• Through interaction, elements essential to the self arise.– shared sentiments– identities

• Non-self objects are given collective recognition and become “facts” accepted as true within the context of the interaction.

• The interactive relationship itself is differentiated out of the interaction, and a set of norms governing these interactions is consolidated.

Page 13: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Theory

• Two methodological principles develop out of this perspective. – Social change arises from within the social

system itself and not from the impact of external causes on it

– Social change is cyclical as sentiment runs back and forth from one extreme to another

Page 14: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Measurement

• Osgood et al. (1975) identified three dimensions of emotional meaning– positive/negative– active/passive– strong/weak.

Page 15: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Positive/Negative Dimension

The stock markets can serve to operationalize these sentiments because they represent the choices of millions of different individuals and their willingness to place monetary bets on particular productive activities. Thus, they represent good measures of changes in a society’s construction of uncertainty, of the efficacy of action, and of fear and confidence.

Page 16: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

Optimism

Pessimism

Optimism

Page 17: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

• From 1982 to 2000 optimism increased substantially as the stock market soared to a new historical high.

• Only 16 percent of Americans owned stock directly or indirectly, and stocks as a percentage of household assets were at a low of approximately 12 percent.

• Historically, less than one-third of American households held stocks.

• In 2000, over 50 percent of households participated one way or another in the equity markets, and stocks as a percentage of household assets was near 44 percent.

Page 18: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

• The price/earnings ratio was less than 9, and dividends were over 6 percent.

• Cash and cash equivalents as a percentage of the market value of stocks and bonds were over 60 percent.

Page 19: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

• The price/earning ratio increased to over 40, and dividends fell to 1.5 percent.

• Cash and cash equivalents as a percentage of the market value of stocks and bonds hit an all-time low.

Page 20: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

• Another measure of the positive/negative dimension is the University of Michigan consumer sentiment index.

• In the early 1980s the University of Michigan’s consumer sentiment index was at a 13-year low.

• In 2000, the University of Michigan’s consumer sentiment index was at an extreme.

Page 21: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

Page 22: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

• From the early 1980s, the savings rate began a large decline, indicating a propensity to take risks, which Americans did by increasing their debt levels.

Page 23: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

Page 24: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism\Pessimism

Outstanding debt was nearly three times annual GDP, and the consumer loan became more important for the economy than the borrowing that business did for capital investment.

Page 25: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism/Pessimism

Page 26: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism/Pessimism

• Insider buying and selling indicates optimism or pessimism of those in the know.

Page 27: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism/Pessimism

Page 28: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism/Pessimism

• In 1982, pension funds invested only 24 percent of the new money that they received into stocks.

• In 2000, sock mutual funds held less than 5 percent cash.

Page 29: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism/Pessimism

Page 30: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Optimism/Pessimism

• This extreme optimism will in turn reverse and be replaced by extreme pessimism.

• Several indicators indicate that this change is beginning to occur.

Page 31: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Changing Risk Perspectives

• When the market and the ratio are both rising, then the higher-beta NASDAQ is outperforming the blue-chip S&P, indicating an investor preference for riskier assets.

• When the S&P is rising but the ratio is not, then investors are becoming less risk tolerant.

Page 32: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Changing Risk Perspectives

Page 33: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Changing Risk Perspectives

The 30-year Treasury Bond yield divided by Moody's BAA Corporate Bond yield has started a decline, indicating again that a premium is being demanded by investors who are becoming more risk adverse.

Page 34: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Changing Risk Perspectives

Page 35: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Changing Risk Perspectives

Also, the Junk-to-Treasury Spread (not shown) has started a strong upward move, also indicating that investors are becoming more risk adverse by demanding a higher premium for riskier investments.

Page 36: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 37: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

Cash flows into stock mutual funds were in the upper part of the range from 1996 to 1998, indicating heavy buying. During the crisis of 1998, cash flow decreased, but quickly rebounded to an extreme.

Page 38: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

Page 39: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

• After 2000, cash flow declined until October 2002.

• The decline was not indicative of heavy selling.• The gently sloping decline in buying was

punctuated by sharp buying sprees. • The strong rebounds indicate that investors were

attempting to pick the bottom. • Flows were negative for only a short time.• Investors were taking a wait-and-see attitude.

There was no major capitulation among mutual fund investors.

Page 40: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

ICI Stock Mutual Fund Cash Flows

Figure 2-B ICI Stock Funds New New Cash Flow

Osgood's Active/Passive Dimension

-60000

-40000

-20000

0

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Page 41: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

• Once it became clear that the bottom was in place, investors actively bought the market so that cash flows rebounded to levels that were as high as the 2000 top.

• Extreme cash flows into stock mutual funds, though, indicate market tops.

Page 42: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

ICI Stock Mutual Fund Cash Flows

Figure 2-C ICI Stock Funds New New Cash Flow

Osgood's Active/Passive Dimension

-20000

-10000

0

10000

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Page 43: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

Cash flows have begun to decline.

Page 44: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

ICI Stock Mutual Fund Cash Flows

Figure 2-D ICI Stock Funds New New Cash Flow

Osgood's Active/Passive Dimension

0

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Page 45: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

• Hedge funds sold the market after 2000. • The decline was punctuated by sharp buying

rallies, and the hedge funds were buying the market a year before the decline ended, providing support for the decline.

• After March 2003, they were active buyers, contributing to the strong rebound of the market.

• Indeed, they were more actively buying the market than they were at the market top in 2000 after 18 years of a rising market.

Page 46: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood Active/Passive

Page 47: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active\Passive

• Experienced investors tend to buy at the end of the day.

• These experienced investors sold the market before the 2000 decline and were buyers from the end of 2000, providing support to the market.

• However, they were also quick to sell rallies from the end of 2000 to near the bottom in October 2002.

• Afterwards, they were actively buying, contributing to the strong rally.

Page 48: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 49: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 50: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

• Buying has been pushing more and more stocks to new highs except for quick thrusts into the oversold level that are quickly reversed.

• The bear market will be over when the multi-year highs are replaced by a multi-year period in which more and more new lows are being made.

Page 51: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 52: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

• There has been a strong upward bias to the rebound.

Page 53: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 54: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive Put/Call Ratio

Page 55: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

ISE data focuses only on calls and puts bought by retail customers excludes professional traders who take positions as a hedge and without a directional bias.

Page 56: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 57: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

ISE IndexISE Index

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Page 58: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

• The CONSENSUS sentiment indicator, which is based on a broad mix of brokerage analysts and independent market advisory services. Sentiment started to rebound at the beginning of 2002. From 1998 to the beginning of 2002, sentiment was slightly, but not extremely, bearish. From the beginning of 2002, sentiment quickly returned to extreme levels. It has remained in the bullish range for several years now.

Page 59: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

Page 60: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

• The Investor’s Intelligence survey is based on a survey of 130 investment newsletters that employ a wide range of investment approaches.

• The survey results are expressed as the percentage of newsletters that are bullish, bearish, or neutral.

Page 61: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

• A bearish plurality of 46 weeks preceded the bull market that culminated in 2000.

• Even during the decline from 2000-2002, sentiment was still bullish, remaining above zero.

• After October 2002, sentiment rebounded sharply and was higher than it was at the top in 2000.

• Indeed, sentiment has remained extreme on a multi-year basis.

• Sentiment has continued to remain bullish through 2005.

Page 62: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Active/Passive

Page 63: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

Page 64: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

• 181 weeks

Page 65: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

• Investors Intelligence was above 70 percent for 3 weeks and has had a bullish plurality for a record 180 weeks as of March 31, 2006.

• In the mid-Nineties, a bearish plurality of 46 weeks preceded the bull market that culminated in 2000.

Page 66: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

Page 67: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

• The Daily Sentiment Index was created by Jake Bernstein of MBH Commodity Advisors.

• He surveys nonprofessional traders in the futures markets at the end of each trading day to determine their level of bullish sentiment.

Page 68: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

• The DSI has remained at extreme levels from 2005 until today.

• During this rebound, the 10-day DSI hit a record high.

• By February 25, 2004, it was 74 percent, significantly higher than it was even at the top in 2000.

• In the week of March 26, 2006, it was 86.6 percent

Page 69: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

Page 70: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

Page 71: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood’s Strong/Weak

• Market Vane's Bullish Consensus sentiment indicator uses a weighted formula applied to an assortment of market newsletters to determine the degree of bullishness or bearishness among futures professionals.

• More weight is given to market letters with a larger following and less weight to those with fewer readers.

• Since the first quarter of 2003, sentiment rebounded sharply and has remained at extreme levels.

Page 72: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood Strong/Weak

Page 73: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Osgood Strong/Weak

• The sentiment of independent investors as measured by the American Association of Independent Investors is based on a daily poll of its 170,000 members concerning their view of how the market will perform in the next six months

• It has remained in the extreme range.

Page 74: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

www.trendmacro.com/a/goodman/200404/20040416goodman.asp

Osgood Strong/Weak(AAII)

Page 75: Measuring Emotive Meaning Dr. Michael K. Green SUNY-Oneonta Oneonta, NY, USA

Future

• By the principles of endogenous change and limits, the current situation is not stable in the long-term.

• Before the decline is over extreme optimism will be replaced by extreme pessimism.

• It took years to build the extreme optimism, so it will take years to reverse it.