The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks
Open accessAbstract
This article develops and tests a structural model of intraday price formation that embodies public information shocks and microstructure effects. We use the model to analyze intraday patterns in bid-ask spreads, price volatility, transaction costs, and return and quote auto-correlations, and to construct metrics for price discovery and effective trading costs. Information asymmetry and uncertainty over fundamentals decrease over the day, although transaction costs increase. The results help explain the U-shaped pattern in intraday bid-ask spreads and volatility, and are also consistent with the intra-day decline in the variance of ask price changes.
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Citations
Cites
Large Sample Properties of Generalized Method of Moments Estimators
Hansen, L. P. (1982) · Econometrica · doi:10.2307/1912775 · Cited by 13,467
Bid, ask and transaction prices in a specialist market with heterogeneously informed traders
Glosten, L. R., & Milgrom, P. R. (1985) · Journal of Financial Economics · doi:10.1016/0304-405x(85)90044-3 · Cited by 6,115
Inferring Trade Direction from Intraday Data
LEE, C. M. C., & READY, M. J. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb02683.x · Cited by 3,147
A Theory of Intraday Patterns: Volume and Price Variability
Admati, A. R., & Pfleiderer, P. (1988) · Review of Financial Studies · doi:10.1093/rfs/1.1.3 · Cited by 3,119
A Simple Implicit Measure of the Effective Bid‐Ask Spread in an Efficient Market
ROLL, R. (1984) · The Journal of Finance · doi:10.1111/j.1540-6261.1984.tb03897.x · Cited by 2,747
French, K. R., & Roll, R. (1986) · Journal of Financial Economics · doi:10.1016/0304-405x(86)90004-8 · Cited by 1,811
Estimating the components of the bid/ask spread
Glosten, L. R., & Harris, L. E. (1988) · Journal of Financial Economics · doi:10.1016/0304-405x(88)90034-7 · Cited by 1,608
The Components of the Bid-Ask Spread: A General Approach
Huang, R. D., & Stoll, H. R. (1997) · Review of Financial Studies · doi:10.1093/rfs/10.4.995 · Cited by 1,143
Inferring the Components of the Bid‐Ask Spread: Theory and Empirical Tests
STOLL, H. R. (1989) · The Journal of Finance · doi:10.1111/j.1540-6261.1989.tb02407.x · Cited by 949
An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks
McInish, T. H., & Wood, R. J. K. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04408.x · Cited by 879
Cited by
Dynamic Volume-Return Relation of Individual Stocks
Llorente, G., Michaely, R., Saar, G., & Wang, J. (2002) · Review of Financial Studies · doi:10.1093/rfs/15.4.1005 · Cited by 689
Shaping Liquidity: On the Causal Effects of Voluntary Disclosure
BALAKRISHNAN, K., BILLINGS, M. B., KELLY, B., & LJUNGQVIST, A. (2014) · The Journal of Finance · doi:10.1111/jofi.12180 · Cited by 616
Do independent directors cause improvements in firm transparency?
Armstrong, C. S., Core, J. E., & Guay, W. R. (2014) · Journal of Financial Economics · doi:10.1016/j.jfineco.2014.05.009 · Cited by 470
Information Asymmetry and Asset Prices: Evidence from the China Foreign Share Discount
CHAN, K., MENKVELD, A. J., & YANG, Z. (2008) · The Journal of Finance · doi:10.1111/j.1540-6261.2008.01313.x · Cited by 384
How is macro news transmitted to exchange rates?
Evans, M. D. D., & Lyons, R. K. (2008) · Journal of Financial Economics · doi:10.1016/j.jfineco.2007.06.001 · Cited by 366
Metadata
- Authors
- Madhavan, A., Richardson, M., & Roomans, M.
- Venue
- Review of Financial Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-10
- Volume
- 10
- Issue
- 4
- Pages
- 1035-1064
- ISSN
- 0893-9454 (ISSN-L)
- 1465-7368
- OpenAlex
- W2086987861
- Cited by
- 959
- References
- 22
- FWCI
- 41.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Madhavan, A., Richardson, M., & Roomans, M. (1997). Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks. Review of Financial Studies. https://doi.org/10.1093/rfs/10.4.1035
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.