david stark columbia university moscow 28 october 2012 peripheral vision in financial markets

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David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

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Page 1: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

David StarkColumbia University

Moscow 28 October 2012

Peripheral Vision in Financial Markets

Page 2: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

My research collaborators:

Daniel BeunzaLondon School of Economics

Supported by the National Science Foundation

and a fellowship from The Netherlands Institute for Advanced Study.

Matteo PratoUniversity of Lugano

Page 3: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The origins of the new economic sociology

Parsons’ Pact

Page 4: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The origins of the new economic sociology

Parsons’ Pact

You, the economists, get value;we, the sociologists, get values.

You study the economy;we will study the social relations in which economies are embedded.

Page 5: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Two dominant schools in economic sociology:

Economies are embeddedin cultural values (and cognitive frames).

Economies are embedded in social relations.

In both approaches, calculative practices are left unexamined.

Page 6: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

STS enters Economic Sociology

Michel Callon (France)Donald MacKenzie (Great Britain)Karin Knorr-Cetina (Germany)

And their studentsFabian MuniesaVincent LepinayYuval MiloAlex Preda

Page 7: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Network analysis in economic sociology views economies as embedded in social relations.

In our view:

Calculation is not embedded in social relations. Calculation is itself social. Calculation is socio-technically distributed.

What counts? Bring tools into accounts about what counts.

Page 8: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 10: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

“I apologize.”

A performative

Page 11: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Performativity (following MacKenzie):

Financial models are not representations. They are interventions that format, shape, perform markets. Their use brings new economic objects (markets) into being.

Page 12: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 13: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 14: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 15: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

“This is the way that people get from point A to point B.”

Page 16: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 17: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Performativity (in my defintion):

A model is performative when its use increases its predictive capabilities.

Page 18: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

From Perfomativity to Reflexivity

Page 19: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Institutionalism in economic sociology focuses on routines, scripts, taken-for-granteds, and “unreflective action.”

In my view: the performativity view ignores skilled performance.

Why should we deny to actors the reflexivity that we prize and praise in our own profession?

Page 20: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Key, in thinking about distributed cognition and distributed reflexivity:

A new form of sociality

disembedded yet entangled; anonymous yet collective; screen-mediated yet differentiated; impersonal yet emphatically social.

Page 21: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Research with Daniel Beunza

Page 22: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

How do traders deal with the fallibility of their models?

Page 23: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

This is a pipe organ.

Page 24: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 25: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 26: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The arbitrage traders we studied do the same.

Page 27: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The trading room is populated with devices for doubt.

Traders do not simply use models and devices that perform the market. They also create and use devices for reflexivity.

This reflexivity is not exterior to (or above) the structures of socially distributed calculation but is an integral part of it.

Page 28: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Arbitrage is a (reflexively) skilled performance.

And this reflexivity is not of the individualbut is social and material.

Page 29: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Cognitive challenges of using models in arbitrage

Page 30: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Calculation in merger arbitrage involvesthe dissonance between two sets of probability estimates:

1) probability estimates derived at the desk using proprietary models, databases, and instrumentation.

2) “implied probablity” – the aggregate probability estimates of the trader’s rivals

Page 31: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 32: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

a given trading desk makes probability estimates based on models, proprietary databases, and instrumentation

Page 33: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

V= (1-)PNS +PS

Page 34: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 35: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The trader’s models and instrumentation are powerful scopes for viewing the markets.

Page 36: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

But scopes that reveal can also conceal.

If you take your model for granted, you can lose your shirt.

Page 37: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

To avoid cognitive lock-in, the traders turn to socio-technical networks outside the trading room.

Page 38: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

relation between the trader and his rivals

Page 39: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 40: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Seeing the screens of one’s rivals is not possible.

Page 41: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 42: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 43: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 44: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The spread plot

Page 45: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The spread plot is a representation of an economic object that does not have a price and is otherwise not observable, co-produced by the positioning of actors who use it to confront their interpretations and re-evaluate their positions.

Page 46: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

time

$

Target

Acquirer

Decoding the spread plot

“Backing out” implied probability

Page 47: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The spread plot instantiates the diversity of dispersed anonymous actors.

Page 48: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 49: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 50: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

dissonance

Page 51: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Reflexive modeling

Dissonance disrupts.

It prompts reflexivity.

Page 52: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets
Page 53: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

?

Page 54: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

re-search

Page 55: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Reflexive modeling

Differs from ‘herding’

Here, dissonance prompts re-search

Page 56: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Reflexivity is not self-awareness or conceptual transcendence.

So as not to be captive of an epistemic trap, traders use devices for dissonance.

Page 57: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Models have given rise to a new mode of sociability:

disembedded yet entangled,anonymous yet collective,impersonal yet nevertheless social.

Page 58: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

WARNING

Page 59: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

WARNING

In cases lacking diversity,devices for dissonance becomedevices for overconfidence.

Resonance blocks reflexivityand can lead to collective calamity.

Page 60: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The strength of reflexive modeling is based on the fact that it leverages the cognitive independence among dispersed and anonymous actors.

Page 61: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

The strength of reflexive modeling is based on the fact that it leverages the cognitive independence among dispersed and anonymous actors.

But this same process suggests the possibilities of cognitive interdependence among the rival traders in the professional arbitrage community.

Page 62: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Reflexive modeling is born of the effort to avoid cognitive lock-in.

But absent dissonance, through this cognitive interdependence, it leads to a collective cognitive lock-in that can yield disaster.

Page 63: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Just as reflexive modeling can typically be a source of correction, so this same cognitive interdependence among traders can, in rare but dramatic instances, lead to the amplification of error.

Page 64: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

From cognition as categorical

to cognition as perspectival

Research with Matteo Prato

Page 65: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Dominant view reduces cognition to categories

Compare the object to the categorical ideal;penalize if a categorical ‘mismatch’ (Zuckerman 1999, 2004).

Page 66: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Valuation always takes place in a calculative space.

The most primitive aspect of a calculative space is the other objects in the field of attention.

Distributed cognition in two-mode networks

Page 67: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Location and allocation

Focus – locate an object by allocating attention.

Make associations across these objects and situations and not simply comparisions to the categorical ideal.

Page 68: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Interobjectivity

Exploit the network ties that are created when multiple agents allocate their attention across multiple objects.

Study socially peripheral vision.

Page 69: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Valuation is perspectival

With apologies to Pierro della Francesca

Page 70: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Valuation is perspectival

Page 71: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Valuation is perspectival

Page 72: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Valuation is perspectival

How we assess an object or interpret a situation is shaped against the background of the other objects or situations across which we allocate our attention.

Page 73: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Viewpoints, views, peripheral visions

The two-mode (agents-objects) structure of an attention network is a calculative space.

My views about a given focal asset are shaped by your views and viewpoints about other assets. In fact, what is in your peripheral vision can effect my focus.

Page 74: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Data

Securities analysts -Stock coverage of US publicly listed firms-Earnings per share estimates

I/B/E/S for 1994-2006

Approx. 8,000 analysts, 15,000 firms, and several million analyst-firm observations.

Page 75: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Viewpoints matter.

If how an actor interprets a given situation depends on the portfolio of situations that are in her field of view, then we expect that:

Hypothesis 1: Greater change in the portfolio of background situations will result in greater change in assesment of the focal issue.

Page 76: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Viewpoints matter.

If how an actor interprets a given situation depends on the portfolio of situations that are in her field of view, then we further expect that:

Hypothesis 2: The more similar their portfolios of background situations the more similar will be two actors’ assessments of the focal issue even when they have not seen each others’ estimates.

Page 77: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Peripheral Vision.

Because actors are influenced by views in their peripheral vision, we expect that

Hypothesis 3 The more (less) two actors have encountered each other’s views on other situations, the more their interpretations of a given situation will converge (diverge).

Page 78: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Peripheral Vision.

Because actors are influenced by views in their peripheral vision, we further expect that

Hypothesis 4 This convergence (divergence) will be greater the more they have been exposed to interpretations of same (different, i.e., non-shared) third actors.

Page 79: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets

Hypothesis 1 individual, 2 moments in time

Hypothesis 2 dyad, same moment in time

Hypothesis 3 dyad, over time

Hypothesis 4 open or closed triad, over time

Page 80: David Stark Columbia University Moscow 28 October 2012 Peripheral Vision in Financial Markets