Competition and Bias
Marcin T. Kacperczyk
New York University (NYU) - Leonard N. Stern School of Business; National Bureau of Economic Research (NBER); New York University (NYU) - Department of Finance
Harrison G. Hong
Princeton University - Department of Economics; National Bureau of Economic Research (NBER)
NYU Working Paper No. FIN-08-016
We attempt to measure the effect of competition on bias in the context of analyst earnings forecasts, which are known to be excessively optimistic due to conflicts of interest. Our instrument for competition is mergers of brokerage houses, which result in the firing of analysts because of redundancy (e.g., one of the two oil analysts is let go) and other reasons such as culture clash. We use this decrease in analyst coverage for stocks covered by both merging houses before the merger (the treatment sample) to measure the causal effect of competition on bias. We find the treatment sample simultaneously experiences a decrease in analyst coverage and an increase in optimism bias the year after the merger relative to a control group of stocks, consistent with competition reducing bias. The implied economic effect from our natural experiment is significantly larger than estimates from OLS regressions that do not correct for the endogeneity of coverage. And this effect is much more significant for stocks with little initial analyst coverage or competition.
Number of Pages in PDF File: 54working papers series
Date posted: March 9, 2009
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