Hurst exponents, power laws, and efficiency in the Brazilian foreign exchange market
We find evidence of weak informational efficiency in the Brazilian daily foreign exchange market using Hurst exponents (Hurst 1951, 1955, Feder 1988), which offer an alternative (from statistical physics) to traditional econometric gauges. We show that a trend toward efficiency has been reverted since the crisis of 1999. We also find power laws (Mantegna and Stanley 2000) in means, volatilities, the Hurst exponents, autocorrelation times, and complexity indices of returns for varying time lags.
Volume (Year): 7 (2007)
Issue (Month): 1 ()
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- Gordon R. Richards, 2004. "A fractal forecasting model for financial time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(8), pages 586-601.
- Katsumi Shimotsu, 2006. "Simple (but effective) tests of long memory versus structural breaks," Working Papers 1101, Queen's University, Department of Economics.
- Sergio Da Silva & Guilherme Moura, 2005.
"Is There a Brazilian J-Curve?,"
AccessEcon, vol. 6(10), pages 1-17.
- Guilherme Moura & Sergio Da Silva, 2005. "Is There a Brazilian J-Curve?," International Finance 0505001, EconWPA.
- Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
- Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
- Lo, Andrew W. (Andrew Wen-Chuan), 1989. "Long-term memory in stock market prices," Working papers 3014-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Andrew W. Lo, 1989. "Long-term Memory in Stock Market Prices," NBER Working Papers 2984, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "RSSTATISTIC: RATS procedure to compute R/S Statistic (classical or Lo's modified)," Statistical Software Components RTS00191, Boston College Department of Economics.
- repec:ebl:ecbull:v:6:y:2005:i:10:p:1-17 is not listed on IDEAS
- Laurini, M. P. & Portugal, M. S., 2003. "Long Memory int the R$/US$ Exchange Rate: A Robust Analysis," Finance Lab Working Papers flwp_50, Finance Lab, Insper Instituto de Ensino e Pesquisa.
- Couillard, Michel & Davison, Matt, 2005. "A comment on measuring the Hurst exponent of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 404-418.
- Laurini, M. P. & Portugal, M. S., 2003. "Markov Switching Based Nonlinear Tests for Market Efficiency Using the R$/US$ Exchange Rate," Finance Lab Working Papers flwp_51, Finance Lab, Insper Instituto de Ensino e Pesquisa.
- repec:sbe:breart:v:24:y:2004:i:1:a:2705 is not listed on IDEAS
- repec:ebl:ecbull:v:7:y:2002:i:3:p:1-12 is not listed on IDEAS
- Sergio Da Silva & Raul Matsushita & Iram Gleria, 2002. "Scaling power laws in the Sao Paulo Stock Exchange," Economics Bulletin, AccessEcon, vol. 7(3), pages 1-12. Full references (including those not matched with items on IDEAS)