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We derive the theoretical result that the existence of a secondary market increases primary market liquidity in the form of lower effective spreads and higher issuance quantities. The same intuition suggests a shorter funding time. Using intraday peer-to-peer issuance data, we find that the...
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We develop two new methods for matching trades and bid-ask quotes that account for information latency in the era of fast trading. The first method adjusts for exchange-to-SIP latency. The second method constructs exchanges' Relative Best Bid and Offer (RBBO) based on exchange-to-exchange...
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A fundamental property of a financial market is its degree of price informativeness. A major determinant of price informativeness is predisclosure information collected by financial analysts and then privately disseminated to clients, who make the recommended trades. We develop a dynamic model...
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We develop a model that accounts for medium-term continuation (momentum) in asset returns by analyzing information acquisition about news events (such as earnings announcements) in a multiperiod setting. As more and more agents become informed about news events, temporal uncertainty is resolved...
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I develop new spread proxies that pick up on three attributes of the low-frequency (daily) data: (1) price clustering, (2) serial price covariance accounting for midpoint prices on no-trade days, and (3) the quoted spread that is available on no-trade days. I develop and empirically test two...
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