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This dissertation is concerned with information asymmetry and information dissemination in high-frequency capital markets. At the intersection of information dissemination and asymmetry with market microstructure, this dissertation pursues three major goals. We propose enhancements to market microstructure methodology to be able to empirically conduct research on information dissemination and asymmetry on recent, high-frequency trading data. Second, we empirically evaluate related microstructure methodology to test its robustness and guide researchers in its application. Third, we employ the proposed methodology to evaluate the efficacy of different information channels, both traditional, legislation-based and new, technology-based channels.

Can libraries effectively partner with a governmental agency in offering information and outreach to communities?

Can libraries effectively partner with a governmental agency in offering information and outreach to communities?

AbstractThe paper analyzes the impact of environmental information dissemination by an information agent in a product market duopoly. The information agent performs the task of disseminating information regarding a green and a polluting firm's environmental profiles to consumers differing in their preferences for the two firms' products. The result reveals that, in the absence of information dissemination, the green firm earns a lower market share which necessitates the information agent's intervention to encourage the consumption of green product. Moreover, complete information dissemination regarding the green firm's environmental profile is sufficient to generate a higher market share for the green firm. The paper also finds that an increase in information dissemination regarding either of the two firms' environmental profiles decreases environmental damage accrued to the society and encourages a greener consumption pattern. An eco-efficiency drive is shown to be self-corrective as it negates the need for the informational intervention.

International audience ; The study of information dissemination in social networks is of particular importance in many areas as marketing, politics and security for example. Various strategies are being developed to disseminate information, those aimed at disseminating information widely and those aimed at disseminating information in a more confidential manner to make it scarce. In this paper, we adapt a model dedicated to spreading rumours by word of mouth in a physical space to the context of social networks. We compare two modes of dissemination based on profusion or scarcity and study the impact of the choice of the initial node. The results obtained show to what extent each mode exploits the social network topology and especially the influence of hubs.

International audience ; The study of information dissemination in social networks is of particular importance in many areas as marketing, politics and security for example. Various strategies are being developed to disseminate information, those aimed at disseminating information widely and those aimed at disseminating information in a more confidential manner to make it scarce. In this paper, we adapt a model dedicated to spreading rumours by word of mouth in a physical space to the context of social networks. We compare two modes of dissemination based on profusion or scarcity and study the impact of the choice of the initial node. The results obtained show to what extent each mode exploits the social network topology and especially the influence of hubs.

International audience ; The study of information dissemination in social networks is of particular importance in many areas as marketing, politics and security for example. Various strategies are being developed to disseminate information, those aimed at disseminating information widely and those aimed at disseminating information in a more confidential manner to make it scarce. In this paper, we adapt a model dedicated to spreading rumours by word of mouth in a physical space to the context of social networks. We compare two modes of dissemination based on profusion or scarcity and study the impact of the choice of the initial node. The results obtained show to what extent each mode exploits the social network topology and especially the influence of hubs.

International audience ; The study of information dissemination in social networks is of particular importance in many areas as marketing, politics and security for example. Various strategies are being developed to disseminate information, those aimed at disseminating information widely and those aimed at disseminating information in a more confidential manner to make it scarce. In this paper, we adapt a model dedicated to spreading rumours by word of mouth in a physical space to the context of social networks. We compare two modes of dissemination based on profusion or scarcity and study the impact of the choice of the initial node. The results obtained show to what extent each mode exploits the social network topology and especially the influence of hubs.

In this paper, we propose to compare different partial transparency regimes in order to determine the optimal diessemination policy by the central bank, using an experimental approach. A treatment dedicated to the benchmark situation (where information is fully released) is also available. Our experiment is based on subsequent framework of Morris and Shin (2002), Cornand and Heinemann (2008) and Trabelsi (2012). The predictive power of K-level reasoning is an issue that is addressed also in this paper. Our experiment indicates that -when fully disclosed- players overreact to public information and this overreaction is efficiently reduced when the degree of publicity decreases (i.e. when the fragmentation measure increases). The average weight assigned to common signal decreases over treatments, especially when we establish partial transparent strategy (i.e. fragmented information). The results provide support both for and against global games theoretical predictions. In fact, although players overreact to public signal, their behavior is inconsistent with theoretical equilibrium, which means that the destabilizing effect of public information is less pronounced experimentally than when it does in theory. This is not the case when public information is fragmented ; subjects' behavior does approach equilibrium. These observations coincide with both a collective and an individual analyses of behavior.