The Business School for Financial Markets
نویسندگان
چکیده
We show that tests for differences in trade execution costs using standard nearest neighbor matching estimation techniques typically have comparable empirical power but less bias than more “sophisticated” alternatives. However, estimation techniques that place more weight on distant firms (e.g. kernel-based matching) have better testing power and produce tighter confidence intervals when there are few matched pairs. For stocks listed on the Toronto Stock Exchange, we employ these techniques to estimate the impact of US interlisting on percentage bid-ask spreads, institutional and market maker participation rates, and market maker profits. JEL Classification: G10
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تاریخ انتشار 2000