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.
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References
Aşçıoğlu, A., Comerton-Forde, C., and McInish, T.H., 2007. Price clustering on the Tokyo stock exchange. The Financial Review, 42(2), pp.289–301.
Ball, C.A., Torous, W.N., and Tschoegl, A.E., 1985. The degree of price resolution: The case of the gold market. The Journal of Futures Markets, 5(1), pp.29–43.
Christie, W.G., Harris, J.H., and Schultz, P.H., 1994. Why did NASDAQ market makers stop avoiding odd-eighth quotes? The Journal of Finance, 49(5), pp.1841–1860.
Cootner, P.H., 1962. Stock prices: Random vs. systematic changes. Industrial Management Review, 3(2), pp.24–45.
Ding, D.K.B. Harris, F. H., Lau, S.T., and McInish, T.H., 1999. An investigation of price discovery in informationally-linked markets: equity trading in Malaysia and Singapore. Journal of Multinational Financial Management, 9, pp.317–329.
Fama, E.F., 1965. The behavior of stock market prices. The Journal of Business, 38(1), pp.34–105.
Fama, E.F., 1970. Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), pp.383–417.
Harris, L., 1991. Stock price clustering and discreteness. Review of Financial Studies, 4(3), pp.389–415.
Huang, R.D. and Stoll, H.R., 2001. Tick size, bid-ask spreads, and market structure. The Journal of Financial and Quantitative Analysis, 36(4), pp.503–522.
Ikenberry, D.L. and Weston, J.P., 2008. Clustering in US stock prices after decimalization. European Financial Management, 14(1), pp.30–54.
Kahn, C., Pennacchi, G., and Sopranzetti, B., 1999. Bank deposit rate clustering: Theory and empirical evidence. The Journal of Finance, 54(6), pp.2185–2214.
Lamont O.A. and Thaler R.H., 2003. Can the market add and subtract? Mispricing in tech stock carve-outs. The Journal of Political Economy, 111, pp. 227–268.
LeRoy, S.F., 1973. Risk aversion and the martingale property of stock returns. International Economic Review, 14(2), pp.436–446.
Lucas, R.E., 1978. Asset prices in an exchange economy. Econometrica, 46(6), pp.1429–1445.
Mitchell, M., Pulvino, T., and Stafford, E., 2002. Limited arbitrage in equity markets. The Journal of Finance, 57, pp. 551–584.
Niederhoffer, V., 1965. Clustering of stock prices. Operations Research, 13(2), pp.258–265.
Niederhoffer, V., 1966. A new look at clustering of stock prices. The Journal of Business, 39(2), pp.309–313.
Onnela, J.-P., Töyli, J., and Kaski, K., 2009. Tick size and stock returns. Physica A, 388(4), pp.441–454.
Osborne, M.F.M., 1962. Periodic structure in the Brownian motion of stock prices. Operations Research, 10(3), pp.345–379.
Rosenthal, L. and Young, C., 1990. The seemingly anomalous price behavior of Royal Dutch/Shell and Unilever N.V./PLC. Journal of Financial Economics, 26, pp. 123–141.
Sharpe, W. and Alexander, G., 1990. Investments. Englewood Cliffs: Prentice Hall.
Sonnemans, J., 2006. Price clustering and natural resistance points in the Dutch stock market: A natural experiment. European Economic Review, 50(8), pp.1937–1950.
Sopranzetti, B.J. and Datar, V., 2002. Price clustering in foreign exchange spot markets. Journal of Financial Markets, 5(4), pp.411–417.
Vogt, B., Uphaus, A., and Albers, W., 2001. Numerical decision processing causing stock price clustering? Homo Oeconomicus, 18(2), pp.229–241.
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Rieger, J., Rüchardt, K. & Vogt, B. Comparing High Frequency Data of Stocks that are Traded Simultaneously in the US and Germany: Simulated Versus Empirical Data. Eurasian Econ Rev 1, 126–142 (2011). https://doi.org/10.14208/BF03353827
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DOI: https://doi.org/10.14208/BF03353827