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Market Efficiency and the Euro: The case of the Athens Stock Exchange

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Author Info
Theodore Panagiotidis (Loughborough University)

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Abstract

The behaviour of an emerging market, the Athens Stock Exchange (ASE), after the introduction of the euro is investigated. The underlying assumption is that stock prices would be more transparent; their performance easier to compare; the exchange rate risk eliminated and as a result we expect the new currency to strengthen the argument, in favour of the EMH. The General ASE Composite Index and the FTSE/ASE 20, which consists of “high capitalisation” companies, are used. Five statistical tests are employed to test the residuals of the random walk model: the BDS, McLeod-Li, Engle LM, Tsay and Bicovariance test. Bootstrap and asymptotic values of these tests are estimated. Alternative models from the GARCH family (GARCH, EGARCH and TGARCH) are also presented in order to investigate the behaviour of the series. Lastly, linear, asymmetric and non-linear error correction models are estimated and compared.

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Publisher Info
Paper provided by EconWPA in its series Finance with number 0507022.

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Length: 21 pages
Date of creation: 29 Jul 2005
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Handle: RePEc:wpa:wuwpfi:0507022

Note: Type of Document - pdf; pages: 21
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Web page: http://129.3.20.41

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Related research
Keywords: Non-Linearity; Market Efficiency; Random Walk; GARCH; non- linear error correction;

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
  2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-77, Sept.-Oct. [Downloadable!]
    Other versions:
  3. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-78, December. [Downloadable!] (restricted)
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  13. Alvaro Escribano & Clive W.J. Granger, 1996. "Investigating the Relationship between Gold and Silver Prices," University of California at San Diego, Economics Working Paper Series 96-38, Department of Economics, UC San Diego. [Downloadable!]
  14. Ashley, Richard A. & Patterson, Douglas M., 2006. "Evaluating the Effectiveness of State-Switching Time Series Models for U.S. Real Output," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 266-277, July. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. David Chappell & Theodore Panagiotidis, 2005. "Using the correlation dimension to detect non-linear dynamics: Evidence from the Athens Stock Exchange," Econometrics 0504005, EconWPA. [Downloadable!]
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