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Price dispersion in OTC markets: A new measure of liquidity

机译:场外交易市场的价格分散:流动性的新指标

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In this paper, we model price dispersion effects in over-the-counter (OTC) markets to show that, in the presence of inventory risk for dealers and search costs for investors, traded prices may deviate from the expected market valuation of an asset. We interpret this deviation as a liquidity effect and develop a new liquidity measure quantifying the price dispersion in the context of the US corporate bond market. This market offers a unique opportunity to study liquidity effects since, from October 2004 onwards, all OTC transactions in this market have to be reported to a common database known as the Trade Reporting and Compliance Engine (TRACE). Furthermore, market-wide average price quotes are available from Mar-kit Group Limited, a financial information provider. Thus, it is possible, for the first time, to directly observe deviations between transaction prices and the expected market valuation of securities. We quantify and analyze our new liquidity measure for this market and find significant price dispersion effects that cannot be simply captured by bid-ask spreads. We show that our new measure is indeed related to liquidity by regressing it on commonly-used liquidity proxies and find a strong relation between our proposed liquidity measure and bond characteristics, as well as trading activity variables. Furthermore, we evaluate the reliability of end-of-day marks that traders use to value their positions. Our evidence suggests that the price deviations from expected market valuations are significantly larger and more volatile than previously assumed. Overall, the results presented here improve our understanding of the drivers of liquidity and are important for many applications in OTC markets, in general.
机译:在本文中,我们对场外(OTC)市场中的价格分散效应进行建模,以表明,在存在经销商的库存风险和投资者的搜索成本的情况下,交易价格可能会偏离资产的预期市场估值。我们将这种偏离解释为一种流动性效应,并开发一种新的流动性衡量标准,以量化美国公司债券市场中的价格差异。自2004年10月起,该市场提供了一个独特的机会来研究流动性影响,因为该市场中的所有OTC交易都必须报告到称为贸易报告和合规引擎(TRACE)的通用数据库中。此外,可从金融信息提供商Mar-kit Group Limited获得整个市场的平均报价。因此,首次有可能直接观察交易价格和证券的预期市场价值之间的偏差。我们对这一市场的新流动性度量进行量化和分析,发现无法通过买卖差价简单地捕捉到的重大价格分散效应。我们通过对常用流动性代理进行回归来证明我们的新措施确实与流动性相关,并且在我们提议的流动性度量与债券特征以及交易活动变量之间发现了很强的关系。此外,我们评估交易者用来评估头寸的日终标记的可靠性。我们的证据表明,与预期的市场估值相比,价格偏差要大得多,而且波动性要比先前假定的更大。总体而言,此处给出的结果增进了我们对流动性驱动因素的理解,并且通常对于场外交易市场中的许多应用都很重要。

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