REFERENCES


Bonilla, C.A. Romero-Meza, R. and Hinich, M.J. (2006), “Episodic Nonlinearity in Latin
American Stock Markets Indices”, Applied Economics Letters, 13:
195-199.

Bonilla, C.A. Romero-Meza, R. and Hinich, M.J. (2007), “GARCH inadequacy for
modeling exchange rates: Empirical evidence from Latin America”,
Applied Economics, 39(19): 2529-2533.

Brock, W. Lakonishok, J. and LeBaron, B. (1992), “Simple Technical Trading Rules
and the Stochastic Properties of Stock Returns.” Journal of Finance,
47: 1731-1764.

Brooks, C. Hinich, M.J. and Molyneux, R. (2000), “Episodic nonlinear event detection:
Political epochs in exchange rates”, In: D. Richards (Ed.), Political
complexity: Political epochs in exchange rates , Ann Arbor, MI:
Michigan University Press, pp. 83-98.

Brooks, C. and Hinich, M.J. (2001), “Bicorrelations and cross-bicorrelations as nonlinearity
tests and tools for exchange rate forecasting”, Journal of
Forecasting, 20: 181􀃭196.

Cheung, Y.W. and Wong, C.Y.P. (1997), “The performance of trading rules on four
Asian currency exchange rates”, Multinational Finance Journal, 1: 1-22.

Gencay, R. (1999), “Linear, Non-Linear and Essential Foreign Exchange Rate
Prediction with Simple Technical Trading Rules”, Journal of
International Economics, 47: 91-107.

Gradojevic, N. (2007), “Non-linear, hybrid exchange rate modeling and trading
profitability in the foreign exchange market”, Journal of Economic
Dynamics and Control, 31: 557–574.

Hinich, M.J. and Patterson, D.M. (1995), Detecting epochs of transient dependence in
white noise, Mimeo, University of Texas at Austin.

Hinich M.J. and Serletis A. (2007), “Episodic Nonlinear Event Detection in the
Canadian Exchange Rate”, Journal of the American Statistical
Association, 102: 68-74.

Kho, B.C. (1996), “Time-varying risk premium, volatility, and technical trading rule
profits: Evidence from foreign currency futures markets”, Journal of
Financial Economics, 41: 249–290.

LeBaron, B. (1999), “Technical trading rule profitability and foreign exchange
intervention”, Journal of International Economics, 49: 125-143.

Lee, C.I. Gleason, J.C. and Mathur, I. (2001), “Trading Rule Profits in Latin American
Currency Spot Rates.” International Review of Financial Analysis, 10:
135-156.

Levich, R.M. and Thomas, L. R. (1993) “The Significance of Technical Trading-Rule
Profits in the Foreign Exchange Market: A Bootstrap Approach”,
Journal of International Money and Finance, 12: 451-474.

Lim, K.P. and Liew, V.K.S. (2004), “Non-linearity in financial markets: evidence from
ASEAN-5 exchange rates and stock markets”, ICFAI Journal of
Applied Finance, 10(5): 5-18.

Lim, K.P. Brooks R.D. and Kim J.H. (2008), “Financial crisis and stock market
efficiency: Empirical evidence from Asian countries”, International
Review of Financial Analysis, 17(3): 571-591.

Lim, K.P. Brooks R.D., Hinich, M.J. (2008), “Nonlinear serial dependence and the
weak-form efficiency of Asian emerging stock markets”, Journal of
International Financial Markets, Institutions and Money, 18(5):
527-544.

Lo, A. W. (2004), “The Adaptive Markets Hypothesis: Market Efficiency from an
Evolutionary Perspective”, Journal of Portfolio Management, 30th
Anniversary Issue: 15-29.

Lobato, I.N. Nankervis J.C. and Savin, N.E. (2002), “Testing for Zero Autocorrelation
in the Presence of Statistical Dependence”, Econometric Theory, 18:
730-743.

Maillet, B. and Michel, T. (2000), “Further Insights on the Puzzle of Technical Analysis
Profitability.” European Journal of Finance, 6: 196-224.

McLeod, A.I. and Li, W.K. (1983), “Diagnostic Checking ARMA Time Series Models
Using Squared-Residual Autocorrelations”, Journal of Time Series
Analysis, 4: 269-273.

Neely, C.J. Weller, P. and Dittmar, R. (1997), “Is Technical Analysis in the Foreign
Exchange Market Profitable? A Genetic Programming Approach”,
Journal of Financial and Quantitative Analysis, 32: 405-426.

Neely, C. J. Weller, P. A. and Ulrich, J. M. (2009), “The Adaptive Market Hypothesis:
Evidence from the Foreign Exchange Market”, Journal of Financial
and Quantitative Analysis, 44:467-488.

Newey, W.K. and West, K.D. (1987), “A Simple, Positive Semi-definite,
Heteroskedasticity and Autocorrelation Consistent Covariance Matrix”,
Econometrica, 55(3): 73-708.

Okunev, J. and White, D. (2003), “Do Momentum Strategies Still Work in Foreign
Currency Markets?”, Journal of Financial and Quantitative Analysis,
38: 425-447.

Olson, D. (2004), “Have trading rule profits in the currency markets declined over
time?”, Journal of Banking and Finance, 28: 85–105.

Patterson, D. and Ashley, R. (2000), A Nonlinear Time Series Workshop: A Toolkit for
Detecting and Identifying Nonlinear Serial Dependence, Kluwer
Academic Publishers, Boston.

Qi, M. and Wu, Y. (2006), “Technical Trading-Rule Profitability, Data Snooping, and
Reality Check: Evidence from the Foreign Exchange Market”, Journal
of Money, Credit, and Banking, 38(8): 2136-2158.

Saacke, P. (2002), “Technical analysis and the effectiveness of central bank
intervention”, Journal of International Money and Finance, 21:
459-479.

Schulmeister, S. (2008), “Components of the profitability of technical currency
trading”, Applied Financial Economics, 11: 917 – 930.

Shik, T.C. and Chong, T.T.L. (2007), “A comparison of MA and RSI returns with
exchange rate intervention”, Applied Economics Letters,
14(5):371-383.

Sweeney, R. J. (1986), “Beating the Foreign Exchange Market”, Journal of Finance,
41: 163-182.

Tabak, B.M. and Lima E.J. (2009), “Market efficiency of Brazilian exchange rate:
Evidence from variance ratio statistics and technical trading rules”,
European Journal of Operational Research, 194: 814–820.

Todea, A. Zoicas-Ienciu, A. (2008), “Episodic Dependencies in Central and Eastern
Europe Stock Markets”, Applied Economics Letters 15(13):
1123-1126.

Tsay, R.S. (1986), “Nonlinearity Tests for Time Series”, Biometrika, 73: 461-466.
Zivot, E. and Andrews, D. (1992), “Further evidence of great crash, the oil price shock
and unit root hypothesis”, Journal of Business and Economic
Statistics, 10: 251-270.