Performance of Stoll's Spread Component Estimator: Evidence from Simulations, Time-Series, and Cross-Sectional Data
AbstractStoll (1989) introduces an intuitive procedure to estimate the basic components of the bid-ask spread (order-processing cost, inventory cost, and adverse-selection cost). He also provides reasonable estimates of the magnitudes of the order-processing, inventory, and adverse-selection costs of making markets for a large cross-section of NASDAQ/NMS stocks. Empirical applications of Stoll's model produce widely different estimates of the bid-ask spread components. We drive the sampling properties of Stoll's estimator of the realized bid-ask spread, i.e., the sum of the order-processing and inventory components. We test Stoll's model in simulations, using the ideal conditions implied by the model. We conclude that noise in serial covariance estimates causes estimates of the realized spread to be severely biased and highly unreliable in short time-series and small cross-sectional samples.
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Bibliographic InfoArticle provided by Southern Finance Association & Southwestern Finance Association in its journal Journal of Financial Research.
Volume (Year): 19 (1996)
Issue (Month): 4 (Winter)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0270-2592
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- Hansch, Oliver, 2004. "The cross-sectional determinants of inventory control and the subtle effects of ADRs," Journal of Banking & Finance, Elsevier, Elsevier, vol. 28(8), pages 1915-1933, August.
- Dar-Hsin Chen & Lloyd P. Blenman, 2003. "An Extended Model of Serial Covariance Bid-Ask Spreads," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 2(1), pages 75-83, April.
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