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Comparing High Frequency Data of Stocks that are Traded Simultaneously in the US and Germany: Simulated Versus Empirical Data

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  • Jörg Rieger
  • Kirsten Rüchardt
  • Bodo Vogt

Abstract

This paper investigates both the no-arbitrage condition and the efficiency of financial markets by comparing two stock markets: NYSE and XETRA. We analyze German stocks that are traded simultaneously at both exchanges using high frequency data for XETRA, NYSE, and the foreign exchange rates. Converting Euro-prices into Dollar-prices and vice versa reveals possibilities to explore the efficiency as well as arbitrage opportunities of these two stock markets. One measure of efficiency is the phenomenon of stock price clustering, describing the tendency of prices to cluster at certain prices and avoiding others. We see the result of differing extents of clustering on both exchanges, thus violating the no-arbitrage condition. We propose a trading strategy that exploits these differences. Furthermore, we compare our empirical findings with the results we obtain from simulating financial markets. We conclude that simulations that are based on the no-arbitrage condition are not consistent with our empirical observations. Copyright Eurasia Business and Economics Society 2011

Suggested Citation

  • Jörg Rieger & Kirsten Rüchardt & Bodo Vogt, 2011. "Comparing High Frequency Data of Stocks that are Traded Simultaneously in the US and Germany: Simulated Versus Empirical Data," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 126-142, December.
    • Handle: RePEc:spr:eurase:v:1:y:2011:i:2:p:126-142
    DOI: 10.14208/BF03353827
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    References listed on IDEAS

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    1. Victor Niederhoffer, 1965. "A New Look at Clustering of Stock Prices," The Journal of Business, University of Chicago Press, vol. 39, pages 309-309.
    2. Charles Kahn & George Pennacchi & Ben Sopranzetti, 1999. "Bank Deposit Rate Clustering: Theory and Empirical Evidence," Journal of Finance, American Finance Association, vol. 54(6), pages 2185-2214, December.
    3. Christie, William G & Schultz, Paul H, 1994. "Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    4. Onnela, Jukka-Pekka & Töyli, Juuso & Kaski, Kimmo, 2009. "Tick size and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(4), pages 441-454.
    5. Sonnemans, Joep, 2006. "Price clustering and natural resistance points in the Dutch stock market: A natural experiment," European Economic Review, Elsevier, vol. 50(8), pages 1937-1950, November.
    6. Mark Mitchell & Todd Pulvino & Erik Stafford, 2002. "Limited Arbitrage in Equity Markets," Journal of Finance, American Finance Association, vol. 57(2), pages 551-584, April.
    7. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    8. David L. Ikenberry & James P. Weston, 2008. "Clustering in US Stock Prices after Decimalisation," European Financial Management, European Financial Management Association, vol. 14(1), pages 30-54, January.
    9. Christie, William G & Harris, Jeffrey H & Schultz, Paul H, 1994. "Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1841-1860, December.
    10. Owen A. Lamont & Richard H. Thaler, 2003. "Can the Market Add and Subtract? Mispricing in Tech Stock Carve-outs," Journal of Political Economy, University of Chicago Press, vol. 111(2), pages 227-268, April.
    11. Rosenthal, Leonard & Young, Colin, 1990. "The seemingly anomalous price behavior of Royal Dutch/Shell and Unilever N.V./PLC," Journal of Financial Economics, Elsevier, vol. 26(1), pages 123-141, July.
    12. M. F. M. Osborne, 1962. "Periodic Structure in the Brownian Motion of Stock Prices," Operations Research, INFORMS, vol. 10(3), pages 345-379, June.
    13. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    14. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    15. Sopranzetti, Ben J. & Datar, Vinay, 2002. "Price clustering in foreign exchange spot markets," Journal of Financial Markets, Elsevier, vol. 5(4), pages 411-417, October.
    16. Ding, David K. & Harris, Frederick H. deB. & Lau, Sie Ting & McInish, Thomas H., 1999. "An investigation of price discovery in informationally-linked markets: equity trading in Malaysia and Singapore," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 317-329, November.
    17. Aslı Aşçıoğlu & Carole Comerton‐Forde & Thomas H. McInish, 2007. "Price Clustering on the Tokyo Stock Exchange," The Financial Review, Eastern Finance Association, vol. 42(2), pages 289-301, May.
    18. Huang, Roger D. & Stoll, Hans R., 2001. "Tick Size, Bid-Ask Spreads, and Market Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 503-522, December.
    19. Victor Niederhoffer, 1965. "Clustering of Stock Prices," Operations Research, INFORMS, vol. 13(2), pages 258-265, April.
    20. LeRoy, Stephen F, 1973. "Risk Aversion and the Martingale Property of Stock Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 436-446, June.
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    2. Samet Günay, 2017. "Value at risk (VaR) analysis for fat tails and long memory in returns," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 215-230, August.

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    More about this item

    Keywords

    Financial markets; Simulation; No-arbitrage condition; Stochastic processes; C00; D40; G12;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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