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Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules

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  • Tabak, Benjamin M.
  • Lima, Eduardo J.A.

Abstract

This study utilizes the variance ratio test to examine the behavior of Brazilian exchange rate. We show that adjustments for multiple tests and a bootstrap methodology must be employed in order to avoid size distortions. We propose a block bootstrap scheme and show that it has much nicer properties than the traditional Chow-Denning [Chow, K.V., Denning, K.C., 1993. A simple multiple variance ratio test. Journal of Econometrics 58 (3), 385-401] multiple variance ratio tests. Overall, the method proposed in the paper provides evidence refuting the random walk behavior for the Brazilian exchange rate for long investment horizon, but consistent with the random walk hypothesis for short-run horizon. Additionally, we also test for the predictive power of variable moving average (VMA) and trading range break (TRB) technical rules and find evidence of forecasting ability for these rules. Nonetheless, the excess return that can be obtained from such rules is not significant, suggesting that such predictability is not economically significant.

Suggested Citation

  • Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.
    • Handle: RePEc:eee:ejores:v:194:y:2009:i:3:p:814-820
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    1. Sweeney, Richard J, 1986. "Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
    2. Lee, Chun I. & Mathur, Ike, 1996. "Trading rule profits in european currency spot cross-rates," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 949-962, June.
    3. Malliaropulos, Dimitrios & Priestley, Richard, 1999. "Mean reversion in Southeast Asian stock markets," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 355-384, October.
    4. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    5. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    6. Manuela Goretti, 2005. "The Brazilian currency turmoil of 2002: a nonlinear analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 289-306.
    7. Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 405-426, December.
    8. Mollick, Andre Varella, 1999. "The real exchange rate in Brazil Mean reversion or random walk in the long run?," International Review of Economics & Finance, Elsevier, vol. 8(1), pages 115-126, January.
    9. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.
    10. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    11. Blake LeBaron, "undated". "Technical Trading Rules and Regime Shifts in Foreign Exchange," Working papers _007, University of Wisconsin - Madison.
    12. C. I. Lee & I. Mathur, 1996. "A comprehensive look at the efficacy of technical trading rules applied to cross-rates," The European Journal of Finance, Taylor & Francis Journals, vol. 2(4), pages 389-411.
    13. Ming-Ming, Lai & Siok-Hwa, Lau, 2006. "The profitability of the simple moving averages and trading range breakout in the Asian stock markets," Journal of Asian Economics, Elsevier, vol. 17(1), pages 144-170, February.
    14. Lui, Yu-Hon & Mole, David, 1998. "The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 535-545, June.
    15. Ajayi, Richard A. & Karemera, David, 1996. "A variance ratio test of random walks in exchange rates: Evidence from Pacific Basin economies," Pacific-Basin Finance Journal, Elsevier, vol. 4(1), pages 77-91, May.
    16. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.
    17. Belaire-Franch, Jorge & Opong, Kwaku K., 2005. "Some evidence of random walk behavior of Euro exchange rates using ranks and signs," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1631-1643, July.
    18. Dragota, Victor & Mitrica, Eugen, 2004. "Emergent capital markets' efficiency: The case of Romania," European Journal of Operational Research, Elsevier, vol. 155(2), pages 353-360, June.
    19. Lee, Chun I. & Pan, Ming-Shiun & Liu, Y. Angela, 2001. "On market efficiency of Asian foreign exchange rates: evidence from a joint variance ratio test and technical trading rules," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 199-214, June.
    20. Olson, Dennis, 2004. "Have trading rule profits in the currency markets declined over time?," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 85-105, January.
    21. Hua, Zhongsheng & Zhang, Bin, 2008. "Improving density forecast by modeling asymmetric features: An application to S&P500 returns," European Journal of Operational Research, Elsevier, vol. 185(2), pages 716-725, March.
    22. Neely, C. J. & Weller, P. A., 2003. "Intraday technical trading in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 223-237, April.
    23. Liu, Christina Y & He, Jia, 1991. "A Variance-Ratio Test of Random Walks in Foreign Exchange Rates," Journal of Finance, American Finance Association, vol. 46(2), pages 773-785, June.
    24. Fernando N. de Oliveira & Walter Novaes, 2005. "The Market of Foreign Exchange Hedge in Brazil: Reactions of Financial Institutions to Interventions of the Central Bank," IBMEC RJ Economics Discussion Papers 2005-13, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    25. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
    26. Eduardo Jose Araujo Lima & Benjamin Miranda Tabak, 2004. "Tests of the random walk hypothesis for equity markets: evidence from China, Hong Kong and Singapore," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 255-258.
    27. Lee, Chun I & Gleason, Kimberly C. & Mathur, Ike, 2001. "Trading rule profits in Latin American currency spot rates," International Review of Financial Analysis, Elsevier, vol. 10(2), pages 135-156.
    28. Fang, Yue & Xu, Daming, 2003. "The predictability of asset returns: an approach combining technical analysis and time series forecasts," International Journal of Forecasting, Elsevier, vol. 19(3), pages 369-385.
    29. Laws, Jason & Thompson, John, 2004. "The efficiency of financial futures markets: Tests of prediction accuracy," European Journal of Operational Research, Elsevier, vol. 155(2), pages 284-298, June.
    30. Blake LeBaron, "undated". "Do Moving Average Trading Rule Results Imply Nonlinearities in Foreign Exchange?," Working papers _005, University of Wisconsin - Madison.
    31. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February.
    32. Cecchetti, Stephen G & Lam, Pok-sang, 1994. "Variance-Ratio Tests: Small-Sample Properties with an Application to International Output Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 177-186, April.
    33. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
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