<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
handle: 2108/313781
We propose a mechanism that relates asset returns to the firm's optimal listing choice. The crucial element in our framework is not a difference in the structure or rules of the alternative markets, but a difference in the return patterns of the securities that are traded on these markets. We use a simple trading model with asymmetric information to show that a stock will be more liquid when it is listed on a market where "similar" securities, or securities with which its value innovations are more correlated, are traded. We empirically examine the implications of our model using NYSE and Nasdaq securities, and document that the return patterns of securities listed on the NYSE indeed look different from the return patterns of Nasdaq securities. Stocks that are eligible to list on the other market but do not switch have return patterns that are similar to those of other securities on their own market but different from the return patterns of securities listed on the other market. We show that the return patterns of stocks that switch markets change in the two years prior to the move to be more similar to the return patterns of securities listed on the new market. Furthermore, the greatest improvement in liquidity is experienced by the switching stocks whose return patterns resemble most the return patterns of securities listed on the new market. Our results suggest that managers make listing decisions that enhance the liquidity of their firms' stocks.
JEL G12, G14, and G30, G14, and G30, Settore SECS-P/09 - FINANZA AZIENDALE, JEL G12
JEL G12, G14, and G30, G14, and G30, Settore SECS-P/09 - FINANZA AZIENDALE, JEL G12
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 25 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |