Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service

L. Ergun, A. Uthemann
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Abstract

This paper develops a framework to measure strategic uncertainty based on the structural estimation a model of learning from prices. We apply this framework to measure intermediaries' uncertainty about competitors' valuations in an over-the-counter (OTC) market. The analysis employs a novel dataset of price estimates that dealer banks, highly sophisticated market participants, provide to the main consensus pricing service in the OTC derivatives market. Consensus pricing services are a popular information aggregation mechanism in OTC markets to anonymously share and aggregate price information among market participants. We show how this price information impacts dealer banks' strategic uncertainty. We also measure how efficiently these prices aggregate dispersed information. We find that the consensus prices mainly help dealer banks to reduce strategic uncertainty rather than inform them about asset values. The results stress the importance of publicly available price data for creating a shared understanding of market conditions in opaque market structures.
金融市场中的战略不确定性:来自共识定价服务的证据
本文提出了一个基于结构估计的战略不确定性测度框架,即从价格中学习的模型。我们应用这一框架来衡量中介机构对场外交易(OTC)市场竞争对手估值的不确定性。该分析采用了一个新的价格估计数据集,这些数据集是由经验丰富的市场参与者——交易商银行——提供给场外衍生品市场的主要共识定价服务的。共识定价服务是场外交易市场中常用的一种信息聚合机制,用于匿名共享和汇总市场参与者之间的价格信息。我们展示了这些价格信息如何影响交易商银行的战略不确定性。我们还衡量这些价格如何有效地汇集分散的信息。我们发现,共识价格主要帮助交易商银行减少战略不确定性,而不是告知他们资产价值。研究结果强调了在不透明的市场结构中,公开的价格数据对于建立对市场状况的共同理解的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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