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Random Walk Theory and Exchange Rate Dynamics in Transition Economies

Author Info

  • Nikola Gradojević

    ()

    (Faculty of Business Administration, Lakehead University, Canada)

  • Vladimir Djaković

    ()

    (Faculty of Technical Sciences, University of Novi Sad, Serbia)

  • Goran Andjelić

    ()

    (Faculty of Technical Sciences, University of Novi Sad, Serbia)

Abstract

This paper investigates the validity of the random walk theory in the Euro-Serbian dinar exchange rate market. We apply Andrew Lo and Archie MacKinlay’s (1988) conventional variance ratio test and Jonathan Wright’s (2000) non-parametric ranks and signs based variance ratio tests to the daily Euro/Serbian dinar exchange rate returns using the data from January 2005 - December 2008. Both types of variance ratio tests overwhelmingly reject the random walk hypothesis over the data span. To assess the robustness of our findings, we examine the forecasting performance of a non-linear, nonparametric model in the spirit of Francis Diebold and James Nason (1990) and find that it is able to significantly improve upon the random walk model, thus confirming the existence of foreign exchange market imperfections in a small transition economy such as Serbia. In the last part of the paper, we conduct a comparative study on how our results relate to those of other transition economies in the region.

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File URL: http://www.panoeconomicus.rs/casopis/2010_3/04.pdf
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Article provided by Savez ekonomista Vojvodine, Novi Sad, Serbia in its journal Panoeconomicus.

Volume (Year): 57 (2010)
Issue (Month): 3 (September)
Pages: 303-320

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Handle: RePEc:voj:journl:v:57:y:2010:i:3:p:303-320
Contact details of provider: Web page: http://www.panoeconomicus.rs/

Keywords: Random walk; Forecasting; Exchange rates; Transition economies; Market efficiency; Artificial neural networks;

Find related papers by JEL classification:

  • F31 - International Economics - - International Finance - - - Foreign Exchange
  • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
  • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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  1. Lutz Kilian & Mark P. Taylor, 2001. "Why is it so difficult to beat the Random Walk Forecast of Exchange Rates?," Tinbergen Institute Discussion Papers 01-031/4, Tinbergen Institute.
  2. Boyer, M. Martin & van Norden, Simon, 2006. "Exchange rates and order flow in the long run," Finance Research Letters, Elsevier, vol. 3(4), pages 235-243, December.
  3. Qi, Min & Wu, Yangru, 2003. "Nonlinear prediction of exchange rates with monetary fundamentals," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 623-640, December.
  4. Giannellis, Nikolaos & Papadopoulos, Athanasios P., 2009. "Testing for efficiency in selected developing foreign exchange markets: An equilibrium-based approach," Economic Modelling, Elsevier, vol. 26(1), pages 155-166, January.
  5. Jesús Crespo Cuaresma & Jaroslava Hlouskova, 2005. "Beating the random walk in Central and Eastern Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(3), pages 189-201.
  6. Kuan, Chung-Ming & Liu, Tung, 1995. "Forecasting Exchange Rates Using Feedforward and Recurrent Neural Networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 347-64, Oct.-Dec..
  7. Francis X. Diebold & James M. Nason, 1989. "Nonparametric exchange rate prediction?," Finance and Economics Discussion Series 81, Board of Governors of the Federal Reserve System (U.S.).
  8. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-44, January.
  9. Lisi, Francesco & Medio, Alfredo, 1997. "Is a random walk the best exchange rate predictor?," International Journal of Forecasting, Elsevier, vol. 13(2), pages 255-267, June.
  10. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, vol. 53(1), pages 29-52, February.
  11. Diebold, Francis X & Nerlove, Marc, 1989. "The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor Arch Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 1-21, Jan.-Mar..
  12. Michael Sager & Mark P. Taylor, 2008. "Commercially Available Order Flow Data and Exchange Rate Movements: "Caveat Emptor"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 583-625, 06.
  13. Martin D. D. Evans & Richard K. Lyons, 2005. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," American Economic Review, American Economic Association, vol. 95(2), pages 405-414, May.
  14. Garcia, Rene & Gencay, Ramazan, 2000. "Pricing and hedging derivative securities with neural networks and a homogeneity hint," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 93-115.
  15. William P. Killeen & Richard K. Lyons & Michael J. Moore, 2001. "Fixed versus Flexible: Lessons from EMS Order Flow," NBER Working Papers 8491, National Bureau of Economic Research, Inc.
  16. Cheung, Yin-Wong & Wong, Clement Yuk-Pang, 2000. "A survey of market practitioners' views on exchange rate dynamics," Journal of International Economics, Elsevier, vol. 51(2), pages 401-419, August.
  17. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
  18. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.
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Cited by:

  1. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
  2. Nikola Gradojević & Eldin Dobardžić, 2013. "Causality between Regional Stock Markets: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(5), pages 633-647, September.
  3. Ciumas Cristina & Chis Diana-Maria & Botos Horia Mircea, 2012. "Global Financial Crisis And Unit-Linked Insurance Markets Efficiency: Empirical Evidence From Central And Eastern European Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 443-448, December.
  4. Milan Nedeljkovic & Branko Urosevic, 2011. "Determinants of the Dinar-Euro Nominal Exchange Rate," Working papers 18, National Bank of Serbia.

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