"Volatility as Social Flaring"

Chris Burford cburford at gn.apc.org
Sun Feb 18 22:19:38 PST 2001


My conclusion from this exchange was that Barkley's article is indeed to a 
large extent tautologous, *and* that it is valuable, because expressing a 
common pattern in mathematics is one of the routes to scientific advance.

I see Barkley as a committed leftist, with significant social skills, as 
Doug has, only different ones. This is an important quality in leftists, 
and by no means universal.

While on the one hand Barkely is frequently skittishly disarming and 
humorous, the article adopts the tone of an authoritative academic article 
and demands respect. This is necessary to establish a bridgehead in 
bourgeois dominated economics. (Compare the tone of intellectual arrogance 
Marx and Engels often used in the ruthlessly competitive intellectual 
climate of the 19th century.)

Keynes's reservations about the use of formulas is interesting and correct, 
but formulas are used in mainstream economics and Barkley is making a stand 
by proposing a formula for the volatility of markets.

Barkley is also progressing in his project of linking specifically 
non-linear modelling of economic activity with the sort of critique that 
can make headway against right wing reductionism.

The core of the article appears to be a remarkable attempt to note that the 
narrowness of the peak in the distribution curve of "asset price behaviour" 
relative to the tails ("leptokurtosis"), does not follow a normal 
distribution of random fluctuations in a continuous variable. The peaks are 
somehow steeper than in a normal Gaussian curve. Further to that, the 
pattern is remarkably similar to solar flares on the sun!

I would certainly have preferred a much more discursive article but 
Barkley's article was not written for me or the rest of us on this list as 
such: it was written to command respect from mainstream economists, and 
from serious scientists looking at the pattern of non-linear phenomena.

The question has to be discussed, why should the peaks of price valuation 
be higher than expected on random chance? Presumably the answer must be 
that there is some non-linear positive feedback as there is in the cycle of 
solar flares.

Are these Keynes's animal spirits?


As for questioning such a proposition by Barkley that is fine. One of 
Doug's skills as a moderator is that he is neither excessively intolerant 
nor bland. He will prod. That does not mean Barkely has no right to his 
opinions, or is obliged to reply. On the contrary, if he posts an article 
here he should expect the support that comes from basically other well 
intentioned people to probe it a little, be devil's advocate, or provide 
alternative explanations.

It should become quite normal and helpful to the reorganisation of the 
left, that people can use e-mail lists such as this one, in this way.

Chris Burford

London

PS I attach the abstract and the proper title, as taken from Barkley's web-site


                                         VOLATILITY VIA SOCIAL FLARING

                                                   J. Barkley Rosser, Jr.
                                                   Professor of Economics
                                                   MSC 0204
                                                   James Madison University
                                                   Harrisonburg, VA 22807 USA
                                                   Tel: 540-568-3212
                                                    Fax: 540-568-3010
                                                    E-mail: rosserjb at jmu.edu



                                                    December, 1999



ABSTRACT:

      A new explanation of kurtosis in asset price behavior is proposed 
involving flare attractors.  Such attractors depend on chaotic fundamentals 
driving subsystems which trigger nonlinearly response functions each with a 
switching mechanism representing the changing of agents from stabilizing to 
destabilizing behavior.  Heterogeneous agent types are shown by a set of 
these response functions that are interlinked.  With a larger number of 
agent types system behavior resembles that of many financial markets.  Such 
a model is consistent with newer approaches relying upon evolutionary 
learning mechanisms with heterogeneous agents as well as models depending 
on fractal characteristics.


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