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Updating Awareness and Information Aggregation

  • Spyros Galanis ORCID logo EMAIL logo und Stelios Kotronis
Veröffentlicht/Copyright: 1. Juli 2020

Abstract

The ability of markets to aggregate information through prices is examined in a dynamic environment with unawareness. We find that if all traders are able to minimally update their awareness when they observe a price that is counterfactual to their private information, they will eventually reach an agreement, thus generalising the result of Geanakoplos and Polemarchakis (1982). Moreover, if the traded security is separable, then agreement is on the correct price and there is information aggregation, thus generalizing the result of Ostrovsky (2012) for non-strategic traders. We find that a trader increases her awareness if and only if she is able to become aware of something that other traders are already aware of and, under a mild condition, never becomes aware of anything more. In other words, agreement is more the result of understanding each other, rather than being unboundedly sophisticated.

JEL Classification Numbers: D80; D82; D83; D84; G14; G41

Corresponding author: Spyros Galanis, Department of Economics, City, University of London, London, UK, E-mail:

Article note: Some of the results in this paper also appear in an earlier form in Galanis (2011b). I am grateful to the editor, Paulo Barelli, Piero Gottardi, Larry G. Epstein, Martin Meier, Herakles Polemarchakis, Marzena Rostek, David Rahman, Fernando Vega-Redondo, Marek Weretka, Xiaojian Zhao, seminar participants at the European University Institute, the University of Southampton and the Summer in Birmingham workshop.


Appendix A

Proof of Proposition 1.

For the first claim, let j i be the trader who makes the announcement at t 1 . By definition, S t 1 i ( s * ) S t 1 j ( s * ) < S t i ( s * ) S t 1 j ( s * ) implies S t 1 i ( s * ) < S t i ( s * ) and i updates her awareness at t.

Conversely, suppose that at t trader i updates her awareness, so that S t 1 i ( s * ) < S t i ( s * ) S , but it is not the case that S t 1 i ( s * ) S t 1 j ( s * ) < S t i ( s * ) S t 1 j ( s * ) . Note that S t 1 i ( s * ) < ¯ S t i ( s * ) implies S t 1 i ( s * ) S t 1 j ( s * ) < ¯ S t i ( s * ) S t 1 j ( s * ) . By the definition of a lattice, if A < ¯ B but not A < B , then A = B . We therefore have S t 1 i ( s * ) S t 1 j ( s * ) = S t i ( s * ) S t 1 j ( s * ) = S S t 1 j ( s * ) S .

We next show that P t 1 j ( s S * ) = P t 1 j ( s S * ) . Since S < ¯ S and from Projections Preserve Ignorance, we have S t 1 j ( s S * ) ¯ S t 1 j ( s S * ) . Also, S t 1 j ( s * ) ¯ S t 1 j ( s S * ) and S ¯ S t 1 j ( s S * ) imply S = S t 1 j ( s * ) S ¯ S t 1 j ( s S * ) S = S t 1 j ( s S * ) . Moreover, S S t 1 j ( s * ) = S implies that S t 1 j ( s * ) ¯ S . Projections Preserve Awareness implies that S t 1 j ( s S * ) = S . However, S t 1 j ( s S * ) = S ¯ S t 1 j ( s S * ) , therefore S t 1 j ( s S * ) = S = S t 1 j ( s S * ) . Stationarity and S t 1 j ( s S * ) = S t 1 j ( s S * ) = S imply P t 1 j ( s S * ) = P t 1 j ( s S * ) .

From Generalized Reflexivity, we have that s S t 1 i ( s * ) * P t 1 i ( s * ) = P 0 i ( s * ) S t 1 i ( s * ) F t 2 y ( S t 1 i ( s * ) ) and s S t i ( s * ) * P t i ( s * ) = P 0 i ( s * ) S t i ( s * ) F t 1 y ( S t i ( s * ) ) . Moreover, i updates her awareness from t 1 to t because ( P 0 i ( s ) ) S t 1 i ( s ) F t 1 y ( S t 1 i ( s ) ) = ϕ .

Because S ¯ S t 1 i ( s * ) ¯ S we have S t 1 j ( s S * ) ¯ S t 1 j ( s S t 1 i ( s * ) * ) ¯ S t 1 j ( s S * ) . Hence, S t 1 j ( s S * ) = S t 1 j ( s S t 1 i ( s * ) * ) = S t 1 j ( s S * ) and P t 1 j ( s S * ) = P t 1 j ( s S t 1 i ( s * ) * ) = P t 1 j ( s S * ) . This implies that both s S t 1 i ( s * ) * and s S t i ( s * ) * describe the same information and awareness about j. Since s S t i ( s * ) * F t 1 y ( S t i ( s * ) ) , it means that s S t i ( s * ) * can rationalise announcement y t 1 . But then this means that s S t 1 i ( s * ) * can also rationalise y t 1 , so that s S t 1 i ( s * ) * F t 1 y ( S t 1 i ( s * ) ) , contradicting that P 0 i ( s * ) S t 1 i ( s * ) F t 1 y ( S t 1 i ( s * ) ) = ϕ .

For the second claim, by construction j does not update her awareness at t, as she is the one making the announcement at t 1 . If i also does not update her awareness, then the result is true. Suppose now that at time t, trader i updates her awareness, so that S t 1 i ( s * ) < S t i ( s * ) S , but S t 1 i ( s * ) S t 1 j ( s * ) < S t i ( s * ) S t j ( s * ) . We will show that there exists S such that S t 1 i ( s * ) < ¯ S < ¯ S , s S * rationalizes j's announcement and S t 1 i ( s * ) S t 1 j ( s * ) = S S t 1 j ( s * ) . These three conditions imply that i updating her awareness to S t i ( s * ) is not minimal.

Define S ( S S t 1 j ( s * ) ) S t 1 i ( s * ) . Since S ¯ ( S S t 1 j ( s * ) ) and S ¯ S t 1 i ( s * ) , we have S ¯ S . It is also straightforward that S t 1 i ( s * ) < ¯ S . From Lemma 6.1 in Davey and Priestley (1990) we have S = ( S S t 1 j ( s * ) ) S t 1 i ( s * ) ¯ ( S S t 1 i ( s * ) ) ( S t 1 j ( s * ) S t 1 i ( s * ) ) = S ( S t 1 j ( s * ) S t 1 i ( s * ) ) ¯ S t 1 j ( s * ) S t 1 i ( s * ) . Hence, S S t 1 j ( s * ) ¯ S t 1 i ( s * ) S t 1 j ( s * ) . It is straightforward that S S t 1 j ( s * ) ¯ S t 1 i ( s * ) S t 1 j ( s * ) . These two relations imply that S S t 1 j ( s * ) = S t 1 i ( s * ) S t 1 j ( s * )

We next show that S t 1 j ( s S * ) = S t 1 j ( s S * ) and P t 1 j ( s S * ) = P t 1 j ( s S * ) . Since S < ¯ S and from Projections Preserve Ignorance, S t 1 j ( s S * ) ¯ S t 1 j ( s S * ) . Also, S t 1 j ( s ) ¯ S t 1 j ( s S ) implies S t 1 j ( s * ) S ¯ S t 1 j ( s S * ) S = S t 1 j ( s S * ) and S = ( S t 1 j ( s * ) S ) S t 1 i ( s * ) ¯ S t 1 j ( s S * ) S t 1 i ( s * ) ¯ S t 1 j ( s S * ) . Again by Projections Preserve Ignorance, we have S t 1 j ( s S ' * ) ¯ S t 1 j ( s S t 1 j ( s S * ) * ) = S t 1 j ( s S * ) . The last equality holds from Generalized Reflexivity and Stationarity. Finally, Stationarity and S t 1 j ( s S * ) = S t 1 j ( s S * ) imply P t 1 j ( s S * ) = P t 1 j ( s S * ) .

The last equality implies that both s S * and s S * describe the same information and awareness about j. Since s S * = s S t i ( s * ) * F t 1 y ( S t i ( s * ) ) , it means that s S t i ( s * ) * can rationalise announcement y t 1 . But then this means that s S * can also rationalise y t 1 , so that s S * F t 1 y ( S ) . We know that F t 1 y ( S t 1 i ( s * ) ) ϕ , as it rationalizes all announcement up to y t 2 . Because S t 1 i ( s * ) < ¯ S , we also have F t 1 y ( S ) ϕ , therefore contradicting that P 0 i ( s * ) S F t 1 y ( S ) = ϕ and that updating to S t i ( s * ) = S is minimal.

Proof of Theorem 1.

Note that for all S and t, F t + 1 y ( S ) F t y ( S ) . Although for some state space S and period t, we can have F t y ( S ) = ϕ , by construction for the full state space S ¯ and any t we have that F t y ( S ¯ ) ϕ . Since the collection of all states Σ is finite, there exists t such that F t y ( S ) = F t y ( S ) for all S S and t t .

Consider a state space S and time t such that F t y ( S ) ϕ for all t t and S < S implies F t y ( S ) = ϕ . Such S and t exist because of the finiteness of Σ , the fact that F t y ( S ¯ ) ϕ for all t and the fact that S is a lattice. Confinement and the fact that there is no less expressive state space than S imply that for all s F t y ( S ) and i I , P t i ( s ) F t y ( S ) S . That is, F t y ( S ) is partitioned by each P t i .

Note that each i announces the conditional expectation of X given her private information at s * and the public information at each t ' . Because the public information does not update after t, i repeats the same announcement y for all t t . However, since each state s F t y ( S ) , t t , is not excluded, it must be that i's announcement given each s F t y ( S ) is also y . We therefore have that E π [ X | P t i ( s ) ] = y for all s F t y ( S ) . Integrating over F t y ( S ) , we have that E π [ X ] = y , where π is the Bayesian update of the common generalized prior given the public information at each state space. Using the same arguments, it cannot be that another trader announces y y at each s F t y ( S ) , because this would imply E π [ X ] = y , a contradiction. Hence, after t all traders agree on their announcement and y t = y t for all t t .

For the second claim, note that we have established in the proof of the first claim that for some t , for all t t , each trader i makes the same announcement y, where E π [ X | P t i ( s 1 * ) ] = y for all s 1 * F t y ( S ¯ ) , and π is the generalized prior which is the Bayesian update of π given F t y ( S ) for each S S t .

Suppose that the true state is s 1 * . If for all s * S ¯ with π ( s * ) > 0 we have X ( s * ) = v , there is information aggregation at s 1 * . Suppose that for some s * S ¯ with π ( s * ) > 0 we have X ( s * ) v = y . Since the security X is separable and setting y = v , condition (ii) of the definition of non-separability specifies that for some s 1 * F t y ( S ¯ ) , which is the support of π on S ¯ , we have E π [ X | P t i ( s 1 * ) ] v = y . But this contradicts the result of the previous paragraph, that all states in F t y ( S ¯ ) specify that all traders announce y = v .

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Received: 2018-12-21
Accepted: 2020-04-04
Published Online: 2020-07-01

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