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Predicting VNET: A model of the dynamics of market depth

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  • Engle, Robert F.
  • Lange, Joe

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  • Engle, Robert F. & Lange, Joe, 2001. "Predicting VNET: A model of the dynamics of market depth," Journal of Financial Markets, Elsevier, vol. 4(2), pages 113-142, April.
  • Handle: RePEc:eee:finmar:v:4:y:2001:i:2:p:113-142
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    References listed on IDEAS

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    1. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    2. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    3. Foster, F Douglas & Viswanathan, S, 1995. "Can Speculative Trading Explain the Volume-Volatility Relation?," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 379-396, October.
    4. McInish, Thomas H & Wood, Robert A, 1992. " An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    5. Engle, Robert F. & Russell, Jeffrey R., 1997. "Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 187-212, June.
    6. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    7. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    8. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
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    Cited by:

    1. Bianconi, Marcelo & Yoshino, Joe A., 2012. "Firm Market Performance and Volatility in a National Real Estate Sector," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 230-253.
    2. Großmaß Lidan, 2014. "Liquidity and the Value at Risk," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(5), pages 572-602, October.
    3. Mark D. Flood & John C. Liechty & Thomas Piontek, 2015. "Systemwide Commonalities in Market Liquidity," Working Papers 15-11, Office of Financial Research, US Department of the Treasury.
    4. Dionne, Georges & Zhou, Xiaozhou, 2016. "The Dynamics of Ex-ante High-Frequency Liquidity: An Empirical Analysis," Working Papers 15-5, HEC Montreal, Canada Research Chair in Risk Management.
    5. Vladimir Borgy & Julien Idier & Gaëlle Le Fol, 2010. "Liquidity Problems in the FX Liquid Market : Ask for the BIL" "," Working Papers 2010-16, Center for Research in Economics and Statistics.
    6. Large, Jeremy, 2007. "Measuring the resiliency of an electronic limit order book," Journal of Financial Markets, Elsevier, vol. 10(1), pages 1-25, February.
    7. Yang, Joey Wenling, 2011. "Transaction duration and asymmetric price impact of trades--Evidence from Australia," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 91-102, January.
    8. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 3(4), pages 525-554.
    9. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    10. Maria Pacurar, 2008. "Autoregressive Conditional Duration Models In Finance: A Survey Of The Theoretical And Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 22(4), pages 711-751, September.
    11. repec:sbe:breart:v:34:y:2014:i:1:a:17457 is not listed on IDEAS
    12. Frijns, Bart & Indriawan, Ivan & Tourani-Rad, Alireza, 2015. "Macroeconomic news announcements and price discovery: Evidence from Canadian–U.S. cross-listed firms," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 35-48.
    13. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2008. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 6(2), pages 171-207, Spring.
    14. Thomas Johann & Erik Theissen, 2013. "Liquidity measures," Chapters,in: Handbook of Research Methods and Applications in Empirical Finance, chapter 10, pages 238-255 Edward Elgar Publishing.
    15. Jeremy Large, 2005. "Estimating quadratic variation when quoted prices jump by a constant increment," Economics Papers 2005-W05, Economics Group, Nuffield College, University of Oxford.
    16. Roberto Pascual & Alvaro Escribano & Mikel Tapia, 2004. "On the bi-dimensionality of liquidity," The European Journal of Finance, Taylor & Francis Journals, vol. 10(6), pages 542-566.
    17. Anatoliy Swishchuk, 2017. "General Compound Hawkes Processes in Limit Order Books," Papers 1706.07459, arXiv.org, revised Jun 2017.
    18. Krishnan, R. & Mishra, Vinod, 2013. "Intraday liquidity patterns in Indian stock market," Journal of Asian Economics, Elsevier, vol. 28(C), pages 99-114.
    19. Emna Rouetbi & Chokri Mamoghli, 2014. "Measuring Liquidity in an Emerging Market: The Tunis Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 920-929.
    20. Robert Brooks & Edwyna Harris & Yovina Joymungul, 2009. "Market depth in an illiquid market: applying the VNET concept to Victorian water markets," Applied Economics Letters, Taylor & Francis Journals, vol. 16(13), pages 1361-1364.
    21. Berry-Stölzle, Thomas R., 2008. "The impact of illiquidity on the asset management of insurance companies," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 1-14, August.
    22. Katarzyna Bien & Ingmar Nolte & Winfried Pohlmeier, 2006. "Estimating liquidity using information on the multivariate trading process," Working Papers 10, Department of Applied Econometrics, Warsaw School of Economics.

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