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Empirical Market Microstructure: An Analysis Of The Brl/Us$ Exchange Rate Market Using High-Frequency Data

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  • Márcio Poletti Laurini
  • Luiz Gustavo Cassilatti Furlani
  • Marcelo Savino Portugal

Abstract

This article provides an analysis of empirical microstructure for the BRL/US$ exchange rate market using high-frequency bid and ask quote data. The aims of the article are to verify the importance of the presence of asymmetric information in price dynamics, to build a model for the price discovery process and to analyze the empirical determinants of the spread between bid and ask through a conditional model that captures an asymmetric response to the spread regarding past information. The asymmetric information hypothesis is tested through a nonparametric test of conditional independence for the Markov property. A model for price discovery is built using a vector error correction between bid and ask, controlling for duration and volatility. As a result of this vector, we build an equilibrium spread deviation series, and we show that the conditional distribution of equilibrium spread deviations responds asymmetrically to the spread changes and expected conditional volatilities and durations. This is made by using the quantilogram and a quantile autoregression as tools for modeling the asymmetry eects. We relate the ndings to some facts presented in the theoretical literature on market microstructure.

Suggested Citation

  • Márcio Poletti Laurini & Luiz Gustavo Cassilatti Furlani & Marcelo Savino Portugal, 2008. "Empirical Market Microstructure: An Analysis Of The Brl/Us$ Exchange Rate Market Using High-Frequency Data," Business and Economics Working Papers 028, Unidade de Negocios e Economia, Insper.
  • Handle: RePEc:aap:wpaper:028
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    References listed on IDEAS

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    1. Christie, William G & Harris, Jeffrey H & Schultz, Paul H, 1994. "Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1841-1860, December.
    2. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
    3. Luc Bauwens & Pierre Giot, 2000. "The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks," Annals of Economics and Statistics, GENES, issue 60, pages 117-149.
    4. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    5. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    6. Amaro de Matos, Joao & Fernandes, Marcelo, 2007. "Testing the Markov property with high frequency data," Journal of Econometrics, Elsevier, vol. 141(1), pages 44-64, November.
    7. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    8. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    9. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    10. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    11. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    12. Sarno,Lucio & Taylor,Mark P., 2003. "The Economics of Exchange Rates," Cambridge Books, Cambridge University Press, number 9780521485845, Enero-Abr.
    13. Glassman, Debra, 1987. "Exchange rate risk and transactions costs: Evidence from bid-ask spreads," Journal of International Money and Finance, Elsevier, vol. 6(4), pages 479-490, December.
    14. Harrison, J. Michael & Kreps, David M., 1979. "Martingales and arbitrage in multiperiod securities markets," Journal of Economic Theory, Elsevier, vol. 20(3), pages 381-408, June.
    15. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    16. repec:adr:anecst:y:2000:i:60:p:05 is not listed on IDEAS
    17. Bollerslev, Tim & Domowitz, Ian, 1993. "Trading Patterns and Prices in the Interbank Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 48(4), pages 1421-1443, September.
    18. 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.
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