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Dealer Inventory Behavior: An Empirical Investigation of NASDAQ Stocks

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  • Stoll, Hans R.

Abstract

1. This paper presents and tests a model of dealer inventory response. The estimated inventory responsiveness coefficient is statistically significant and its magnitude is consistent with reasonable values of underlying variables which, it is hypothesized, determine the coefficient.2. The sign of the inventory responsiveness coefficient indicates that dealers tend to be passive and acquire shares when prices fall and sell shares when prices rise. This type of behavior is sometimes termed “stabilizing.”3. Dealer inventories tend to increase on days prior to price declines and tend to decrease on days prior to price increases; that is, inventory changes tend to be “destabilizing” with respect to future price changes. This implies that a fraction of the public trades on superior information and that dealers tend to lose money to such information traders.4. There is a strong tendency for dealer inventory levels to return to normal, presumably zero. The implied typical inventory holding period is about 8 to 10 trading days.5. Comparison of NASDAQ dealers and NYSE specialists shows that the pattern of inventory responsiveness is very much the same for the two. This suggests that both act in accordance with the underlying economic model and that differential regulation has little effect on typical inventory responsiveness.6. This finding does not obviate the possibility that individual dealers or specialists behave in atypical or undersirable ways, and that the extent of such atypical behavior might depend on the degree of public regulation of dealer activities. An exhaustive comparative study of deviations from normal behavior was not possible. However, it was possible to compare the frequency of nonstabilizing transactions in which price change and inventory change on a given day are in the same, rather than opposite, direction. One could not conclude that NASDAQ dealers had more nonstabilizing activity than NYSE specialists.

Suggested Citation

  • Stoll, Hans R., 1976. "Dealer Inventory Behavior: An Empirical Investigation of NASDAQ Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 11(3), pages 359-380, September.
  • Handle: RePEc:cup:jfinqa:v:11:y:1976:i:03:p:359-380_02
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    Cited by:

    1. Shafiqur Rahman & Chandrasekhar Krishnamurti & Alice Lee, 2005. "The Dynamics of Security Trades, Quote Revisions, and Market Depths for Actively Traded Stocks," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 91-124, September.
    2. Bruno Biais, 1990. "Formation des prix sur les marchés de contrepartie. Une synthèse de la littérature récente," Revue Économique, Programme National Persée, vol. 41(5), pages 755-788.
    3. James C. Van Horne & Hal B. Heaton, 1983. "Securities Inventories And Excess Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(2), pages 93-102, June.
    4. Frino, Alex & Forrest, Peter & Duffy, Matthew, 1999. "Life in the pits: competitive market making and inventory control--further Australian evidence," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 373-385, November.
    5. Joseph J. Schultz Jr. & Sandra G. Gustavson & Frank K. Reilly, 1985. "Factors Influencing The New York Stock Exchange Specialists' Price-Setting Behavior: An Experiment," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 8(2), pages 137-144, June.
    6. Venkateswar, Sankaran, 1992. "Replacement cost disclosures, information asymmetry and market-maker behaviour: Assessment through the bid-ask spread," The British Accounting Review, Elsevier, vol. 24(2), pages 139-155.
    7. Frino, Alex & Jarnecic, Elvis, 2000. "An empirical analysis of the supply of liquidity by locals in futures markets: Evidence from the Sydney Futures Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 8(3-4), pages 443-456, July.
    8. Wu, Chunchi, 2004. "Information flow, volatility and spreads of infrequently traded Nasdaq stocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 20-43, February.
    9. Gray, Stephen F. & Smith, Tom & Whaley, Robert E., 2003. "Stock splits: implications for investor trading costs," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 271-303, May.

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