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An Ordered Probit Analysis of Transaction Stock Prices / Jerry A. Hausman, Andrew W. Lo, A. Craig MacKinlay.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Hausman, Jerry A.
Contributor:
National Bureau of Economic Research.
Lo, Andrew W.
MacKinlay, A. Craig.
Series:
Working Paper Series (National Bureau of Economic Research) no. w3888.
NBER working paper series no. w3888
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 1991.
Summary:
We estimate the conditional distribution of trade-to-trade price changes using ordered probit, a statistical model for discrete random variables. Such an approach takes into account the fact that transaction price changes occur in discrete increments, typically eighths of a dollar, and occur at irregularly spaced time intervals. Unlike existing continuous-time/discrete-state models of discrete transaction prices, ordered probit can capture the effects of other economic variables on price changes, such as volume, past price changes, and the time between trades. Using 1988 transactions data for over 100 randomly chosen U.S. stocks, we estimate the ordered probit model via maximum likelihood and use the parameter estimates to measure several transaction-related quantities, such as the price impact of trades of a given size, the tendency towards price reversals from one transaction to the next, and the empirical significance of price discreteness.
Notes:
Print version record
October 1991.

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