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A Random Walk of Stock Prices in Visegrad Group: Efficient Market Hypothesis

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Efficiency in Business and Economics

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Abstract

The purpose of this paper is to investigate Efficient Market Hypothesis (EMH) for Visegrad Group. The stock prices have been analyzed for the period between 1995 and 2014 with panel multiple structural breaks unit root test which is developed by Carrion-i-Silvestre et al. (2005). According to the findings, Efficient Market Hypothesis is accepted for Hungary, Poland, Czech and Slovak Republics (for all Visegrad Group). Stock prices have random walk. Due to the importance of monetary policy in equity markets the co-integration between interest rates and stock prices is also examined by the multiple structural breaks co-integration test which is developed by Basher and Westerlund (2009). This test considers the cross-section dependence between individual units. According to the test results; there is co-integration between interest rates and stock prices. Therefore, we could say that monetary policy decisions have an impact on investors’ behaviors.

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References

  • Ahmad A, Halim D, Siti NM, Azman-Saini WNW (2010) Efficient market hypothesis in emerging markets: panel data evidence with multiple breaks and cross sectional dependence. Econ Bull 30(4):2987–2995

    Google Scholar 

  • Basher SA, Westerlund J (2009) Panel co-integration and the monetary exchange rate model. Econ Model 26:506–513

    Article  Google Scholar 

  • Brazova V-K, Matczak P, Takacs V (2013) Regional organization study: Visegrad Group. Analysis of civil security systems in Europe. Adam Mickiewicz University

    Google Scholar 

  • Breusch TS, Pagan AR (1980) The Lagrange Multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47(1):239–253

    Article  Google Scholar 

  • Carrion-i-Silvestre JL, Del Barrio-Castro T, Lopez-Bazo E (2005) Breaking the panels: an application to the GDP per capita. Econ J 8:159–175

    Google Scholar 

  • Chaudhuri K, Wu Y (2003) Random walk versus breaking trend in stock process: evidence from emerging markets. J Bank Financ 27:575–592

    Article  Google Scholar 

  • Dockery E, Kavussanos MG (1996) Testing the efficient market hypothesis using panel data with application to the Athens stock market. Appl Econ Lett 3:121–123

    Article  Google Scholar 

  • Dong H, Helen BM, Latham WR (2013) Evidence on the efficient market hypothesis from 44 global financial markets. Econ Res Int. 2013:2–11

    Google Scholar 

  • Fama EF (1970) Efficient capital markets: a review of theory and empirical work. J Financ 25(2):383–417

    Article  Google Scholar 

  • Fama EF (2013) Two pillars of asseting prices. http://www.nobelprize.org/nobel_prizes/economic-sciences/laureates/2013/famalecture.pdf. Accessed 03 June 2017

  • Ferreira N, Menezes R, Oliveria MM (2013) Structural breaks and co-integration analysis in the EU developed markets. Int J Latest Trends Financ Econ Sci 3(4):652–661

    Google Scholar 

  • Ferreira N, Menezes R, Bentes S (2014) Cointegration and structural breaks in the EU sovereign debt crisis. Int J Latest Trends Financ Econ Sci 4(1):680–6890

    Google Scholar 

  • Harris D, Leybourne S, McCabe B (2005) Panel stationary tests for purchasing power parity with cross-sectional dependence. J Bus Econ Stat 23:395–409

    Article  Google Scholar 

  • Im KS, Lee J, Tieslau M (2005) Panel LM unit root tests with level shifts. Oxf Bull Econ Stat 67:393–419

    Article  Google Scholar 

  • Kanas A (2001) Neural network linear forecasts for stock returns. Int J Financ Econ 6(3):245–254

    Article  Google Scholar 

  • Kumar A, Lee CMC (2006) Retail investor sentiment and return comovements. J Financ LXI(5):2451–2486

    Article  Google Scholar 

  • Kurov A (2010) Investor sentiment and the stock market’s reaction to monetary policy. J Bank Financ 34:139–149

    Article  Google Scholar 

  • Lee C-C, Lee J-D (2009) Energy prices, multiple structural breaks and efficient market hypothesis. Appl Energy 86:466–479

    Article  Google Scholar 

  • Lee C-C, Lee J-D, Lee C-C (2010) Stock prices and the efficient market hypothesis: evidence from a panel stationary test with structural breaks. Jap World Econ 22:49–58

    Article  Google Scholar 

  • Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxf Bull Econ Stat 61:631–652

    Article  Google Scholar 

  • Narayan PK (2008) Do shocks to G7 stock prices have a permanent effect? Evidence from panel unit root tests with structural change. Math Comput Simul 77:369–373

    Article  Google Scholar 

  • Narayan PK, Smyth R (2005) Are OECD stock prices characterized by a random walk? Evidence from sequential trend break and panel data models. Appl Financ Econ 15(8):547–556.

    Article  Google Scholar 

  • Nelson CR, Plosser CL (1982) Trends and random walks in macroeconomics time series: some evidence and implications. J Monet Econ 10:139–162

    Article  Google Scholar 

  • Nguyen CV, Muhammad MA (2011) Testing the weak efficient market hypothesis using Bangladeshi panel data. Banks Banks Syst 4(1):11–15

    Google Scholar 

  • Nguyen CV, Chang C-H, Nguyen TD (2012) Testing the weak-form efficient market hypothesis: using panel data from the Taiwan stock market. Int J Bus Soc Sci 3(18):192–198

    Google Scholar 

  • Papell DH (2002) The great appreciation, the great depreciation, and the purchasing power parity hypothesis. J Int Econ 57:51–82

    Article  Google Scholar 

  • Pesaran HM (2004). General diagnostic tests for cross section dependence in panels. Working paper no: 0435. University of Cambridge, pp 1–39

    Google Scholar 

  • Pesaran HM, Yamagata T (2008) Testing slope homogeneity in large panels. J Econ 142:50–93

    Article  Google Scholar 

  • Pesaran MH, Ullah A, Yamagata T (2008) A bias-adjusted LM test of error cross-section independence. Econ J 11(1):105–127.

    Google Scholar 

  • Phillips PCB, Hansen BE (1990) Statistical inference in instrumental variables regression with I(1) processes. Rev Econ Stud 57(1):99–125.

    Article  Google Scholar 

  • Sharpe WF (1991) The arithmetic of active management. Financ Anal J 47:7–9

    Article  Google Scholar 

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Correspondence to Yagmur Saglam .

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Saglam, Y., Guresci, G. (2018). A Random Walk of Stock Prices in Visegrad Group: Efficient Market Hypothesis. In: Dudycz, T., Osbert-Pociecha, G., Brycz, B. (eds) Efficiency in Business and Economics. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-68285-3_14

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