We document that suppliers to purely financially distressed companies that are highly likely to reorganize in bankruptcy incur little or no spillover costs. In contrast, suppliers to economically distressed firms experience large losses in market value that are linked to proxies for the cost of replacing the bankrupt customers. Suppliers experience increased selling, general, and administrative (SG&A) expenses and lower margins in the year following the bankruptcy of their trading partners, which we link to proxies for partner replacement costs. Suppliers continue to extend trade credit to firms that are healthier and in situations where the cost of replacing the partner is higher.
This study assesses the accuracy of trade signing algorithms in fast trading environments using NASDAQ and NYSE trade and quote data. Using data that contain true trade signs, we show that the Lee and Ready algorithm outperforms the tick rule and classifies trades at least as well as in earlier studies from slower trading environments, even in subsamples where the market is particularly fast. We conclude that trade signing remains viable in fast markets, and that the use of quote data continues to increase trade classification accuracy.
This study examines the reaction of the Standard and Poor’s Regional Bank Index (SPRB) to the U.S. equity market fear index (i.e., the Chicago Board of Trade Volatility Index [VIX]). The VIX is designed to perform as a leading indicator of the volatility in equity markets. However, practitioners observe many periods of divergence between the VIX and S&P 500. Our paper examines the daily data for the period of 2009 through 2019. We show that once the effects of consumer confidence and capacity utilization are accounted for, there is a negative association between the VIX and regional bank performance.
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