Abstract
In this study we test the efficient market hypothesis in the Athens Stock Exchange for a number of selected stocks from the banking sector. We distinguish between a “weak” and “semistrong” version of the hypothesis depending on the agents' information sets. For the “weak” version we apply a recently developed test by Brock, Dechert and Scheinkman (1987) to test for the presence of nonlinear structure in the residuals of rates of return regressions of these stocks. To test the “semistrong” form of the efficiency hypothesis we carry out tests of cointegration following the methodology of Granger and Engle (1987). We find no noticeable presence of nonlinearties in the standardized residuals for these series. Also we find no evidence of cointegration and hence no Granger causality between the different stocks. Our findings support the “weak” and “semi-strong” versions of the efficient market hypothesis.
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References
Baillie RT, Bollerslev T (1989a) Common Stochastic Trends in a System of Exchange Rates. Journal of Finance, XLIV:167–181
Baillie RT, Bollerslev T (1989b) The Message in Daily Exchange Rates: A Conditional-Variance Tale. Journal of Business and Economics Statistics 7:297–305
Biough SR (1989) The Relationship between Power and Level for Generic Unit Root Tests in Finite Samples. The John Hopkins University, Working Paper # 232
Bollerslev T (1986) Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics 31:307–327
Brock WA (1982) Asset Prices in a Production Economy in theEconomics of Information and Uncertainty. McCall JJ (ed) Chicago: The University of Chicago Press
Brock WA, Dechert WD, Scheinkman J (1986) A Test for Independence Based on the Correlation Dimension. DP # 8702, Depart of Economics, University of Wisconsin, Madison
Chou RY (1988) Volatility Persistence and Stock Valuations: Some Empirical Evidence Using GARCH. Journal of Applied Econometrics 3:279–294
Dickey DA, Fuller WA (1979) Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association 74:427–431
Dickey DA, Fuller WA (1981) Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica 49:1057–1072
Dickey DA, Pantula SG (1987) Determining the Order of Differencing in Autoregressive Processes. Journal of Business and Economics Statistics 5:455–461
Engle RF (1982) Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflations. Econometrica 50:987–1007
Engle RF, Granger CWJ (1987) Cointegration and Error Correction: Representation, Estimation and Testing. Econometrica 55:251–276
Fama E (1970) Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance 25:383–417
Frank MZ, Stengos T (1989) Measuring the Strangeness of Gold and Silver Rates of Return. Review of Economic Studies 56:553–568
French K, Schwert GW, Stambaugh R (1987) Expected Stock Returns and Volatility. Journal of Financial Economics 19:3–29
Fuller WA (1976) Introduction to Statistical Time Series, New York: John Wiley
Granger CWJ (1986) Developments in the Study of Cointegrated Economic Variables. Oxford Bulletin of Economics and Statistics 48:213–225
Hsieh DA, LeBaron B (1988) Finite Sample Properties of the BDS Statistic: Distribution Under the Null and Alternative Hypotheses. mimeo. University of Chicago
Karathanassis G, Tolias A (1983) Factors Affecting Share Prices: A Statistical Analysis of Prices on The Greek Stock Exchange. Rivista Internationale Di Scienze Economiche E Commercialli, 1150–1160
Karathanassis G, Philippas N (1988) Estimation of Bank Stock Price Parameters and the Variance Components Model. Applied Economics 497–507
Johansen S (1988a) Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control 12:231–254
Johansen S (1988 b) Estimation and Test of Stationary Subspaces for Nonstationary Vector Valued Gaussian Autoregressive Processe mimeo, University of Copenhagen
LeRoy SF (1989) Efficient Capital Markets and Martingales. Journal of Economic Literature, XXVII 4:1583–1621
Lucas RE, Jr (1978) Asset Prices in an Exchange Economy. Econometrica 46:1426–1445
MacDonald R, Taylor MP (1988) Metal Prices, Efficiency and Cointegration: Some evidence from the London Metal Exchange. Bulletin of Economic Research 40:235–239
McCurdy TH, Morgan IG (1987) Tests of the Martingale Hypothesis for Foreign Currency Futures with Time-Varying Volatility. International Journal of Forecasting 3:131–148
Newey WK, West KD (1987) A Simple Positive-Semidefinite Heteroskedasticity and Autocorrelation Consistent Covariance Matrix. Econometrica 55:703–708
Panas E (1990) The Behaviour of Athens Stock Prices. Applied Economics (forthcoming)
Phillips PCB, Perron P (1988) Testing for a Unit Root in Time Series Regression. Biometrica 75:335–345
Samuelson PA (1965) Proof that Properly Anticipated Prices Fluctuate Randomly. Industrial Management Review 6:41–49
Scheinkman JA, LeBaron B (1989) Nonlinear Dynamics and Stock Returns. Journal of Business 62:311–337
Schwert GW (1989) Tests for Unit Roots: A Monte Carlo Investigation. Journal of Business and Economic Statistics 7:147–159
Sims CA (1984) Martingale-Like Behavior of Prices and Interest Rates. DP # 205, Dept of Economics, University of Minnesota, Minneapolis
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The authors would like to acknowledge the comments of two anonymous referees and an editor of the journal that enhanced the scope of an earlier version of the paper entitled “Testing the Efficiency of the Athens Stock Exchange: Some Cointegration Results from Selected Stocks”.
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Stengos, T., Panas, E. Testing the efficiency of the Athens Stock Exchange: Some results from the banking sector. Empirical Economics 17, 239–252 (1992). https://doi.org/10.1007/BF01206285
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DOI: https://doi.org/10.1007/BF01206285