Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/60882
Authors: 
van der Wel, Michel
Menkveld, Albert J.
Sarkar, Asani
Year of Publication: 
2009
Series/Report no.: 
Staff Report, Federal Reserve Bank of New York 395
Abstract: 
We develop a new likelihood-based approach to signing trades in the absence of quotes. This approach is equally efficient as the existing Markov-chain Monte Carlo methods, but more than ten times faster. It can address the occurrence of multiple trades at the same time and allows for analysis of settings in which trade times are observed with noise. We apply this method to a high-frequency data set of thirty-year U.S. Treasury futures to investigate the role of the market maker. Most theory characterizes the market maker as an uninformed, passive supplier of liquidity. Our findings suggest, however, that some market makers actively demand liquidity for a substantial part of the day and that they are informed speculators.
Subjects: 
Market makers
liquidity supply
signing trades
inventory
information
Treasury futures market
JEL: 
G10
G14
G12
G19
Document Type: 
Working Paper

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