The Effects of Credit Default Swaps on Analyst Forecasting Properties

Emrah Ekici, Pedro Sottile
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Abstract

This research studies the effect of credit default swaps (CDS), one of the most important financial innovations in recent times, on financial analysts’ forecast characteristics. We examine whether and how the revelation of private information in the CDS market, which often leads to public information disclosure and price discovery in other markets, affects analysts’ forecast characteristics. This research shows that analysts have more accurate and less dispersed cash flow forecasts for firms with CDS contracts. These findings are consistent with the predictions that financial analysts include the information revealed from the CDS market in their cash flow forecasts. Furthermore, we investigate the relation between CDS prices, CDS price changes, and analysts’ forecast properties and find that CDS prices and their changes are associated with analysts’ cash flow forecast accuracy and dispersion.
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信用违约掉期对分析师预测属性的影响
本研究探讨了近期最重要的金融创新之一--信用违约掉期(CDS)对金融分析师预测特征的影响。我们研究了 CDS 市场中私人信息的披露(往往会导致其他市场的公共信息披露和价格发现)是否以及如何影响分析师的预测特征。研究表明,分析师对签订了 CDS 合同的公司的现金流预测更准确、更不分散。这些发现与金融分析师将 CDS 市场披露的信息纳入其现金流预测的预测相一致。此外,我们还研究了 CDS 价格、CDS 价格变化和分析师预测属性之间的关系,发现 CDS 价格及其变化与分析师的现金流预测准确性和分散性相关。
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