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Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume

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  • Gebka, Bartosz

Abstract

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find crossborder spillovers in returns to be nonexisting, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in variance to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on variance, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables.

Suggested Citation

  • Gebka, Bartosz, 2006. "Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume," Working Paper Series 2006,1, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    • Handle: RePEc:zbw:euvgra:20061
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    1. Brock, William A & LeBaron, Blake D, 1996. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 94-110, February.
    2. Hu, John Wei-Shan & Chen, Mei-Yuan & Fok, Robert C. W. & Huang, Bwo-Nung, 1997. "Causality in volatility and volatility spillover effects between US, Japan and four equity markets in the South China Growth Triangular," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(4), pages 351-367, December.
    3. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    4. Wagner, Niklas & Marsh, Terry A., 2003. "Return-Volume Dependence and Extremes in International Equity Markets," Research Program in Finance, Working Paper Series qt1z87z922, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley.
    5. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    6. Brennan, Michael J & Cao, H Henry, 1997. "International Portfolio Investment Flows," Journal of Finance, American Finance Association, vol. 52(5), pages 1851-1880, December.
    7. Climent, Francisco & Meneu, Vicente, 2003. "Has 1997 Asian crisis increased information flows between international markets," International Review of Economics & Finance, Elsevier, vol. 12(1), pages 111-143.
    8. Rigobon, Roberto, 2003. "On the measurement of the international propagation of shocks: is the transmission stable?," Journal of International Economics, Elsevier, vol. 61(2), pages 261-283, December.
    9. Chen, Cathy W. S. & Chiang, Thomas C. & So, Mike K. P., 2003. "Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 487-502.
    10. Suk-Joong Kim, 2018. "Information Leadership in the Advanced Asia-Pacific Stock Markets: Return, Volatility and Volume Information Spillovers from the US and Japan," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 9, pages 271-304, World Scientific Publishing Co. Pte. Ltd..
    11. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    12. Mardi Dungey & Diana Zhumabekova, 2001. "Testing for contagion using correlations: some words of caution," Pacific Basin Working Paper Series 2001-09, Federal Reserve Bank of San Francisco.
    13. Suominen, Matti, 2001. "Trading Volume and Information Revelation in Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 545-565, December.
    14. Masih, Rumi & Masih, Abul M. M., 2001. "Long and short term dynamic causal transmission amongst international stock markets," Journal of International Money and Finance, Elsevier, vol. 20(4), pages 563-587, August.
    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    16. Chelley-Steeley, Patricia, 2004. "Equity market integration in the Asia-Pacific region: A smooth transition analysis," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 621-632.
    17. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    18. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    19. Angelos Kanas, 1998. "Volatility spillovers across equity markets: European evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 8(3), pages 245-256.
    20. René M. Stulz, 2007. "The Limits of Financial Globalization," Journal of Applied Corporate Finance, Morgan Stanley, vol. 19(1), pages 8-15, January.
    21. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
    22. Booth, G. Geoffrey & Martikainen, Teppo & Tse, Yiuman, 1997. "Price and volatility spillovers in Scandinavian stock markets," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 811-823, June.
    23. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 241-256, June.
    24. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    25. Bae, Kee-Hong & Andrew Karolyi, G., 1995. "Good news, band news and international spilovers of stock return volatility between Japan and the U.S," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 144-144, May.
    26. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    27. Arago, Vicent & Nieto, Luisa, 2005. "Heteroskedasticity in the returns of the main world stock exchange indices: volume versus GARCH effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 271-284, July.
    28. Geweke, John & Meese, Richard & Dent, Warren, 1983. "Comparing alternative tests of causality in temporal systems : Analytic results and experimental evidence," Journal of Econometrics, Elsevier, vol. 21(2), pages 161-194, February.
    29. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    30. Billio, Monica & Pelizzon, Loriana, 2003. "Contagion and interdependence in stock markets: Have they been misdiagnosed?," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 405-426.
    31. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    32. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    33. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    34. Emel Kahya, 1997. "Correlation of Returns in Non-Contemporaneous Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 1(2), pages 123-135, June.
    35. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    36. Brandt, Michael W. & Kang, Qiang, 2004. "On the relationship between the conditional mean and volatility of stock returns: A latent VAR approach," Journal of Financial Economics, Elsevier, vol. 72(2), pages 217-257, May.
    37. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
    38. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    39. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    40. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    41. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    42. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    43. Terry A. Marsh and Niklas Wagner., 2000. "Return-Volume Dependence and Extremes in International Equity Markets," Research Program in Finance Working Papers RPF-293, University of California at Berkeley.
    44. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    45. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    46. Mandelbrot, Benoit B, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices: Comment," Econometrica, Econometric Society, vol. 41(1), pages 157-159, January.
    47. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    48. Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
    49. Ng, Angela, 2000. "Volatility spillover effects from Japan and the US to the Pacific-Basin," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 207-233, April.
    50. Xiaoqing Eleanor Xu & Hung–Gay Fung, 2002. "Information Flows across Markets: Evidence from China–Backed Stocks Dual–Listed in Hong Kong and New York," The Financial Review, Eastern Finance Association, vol. 37(4), pages 563-588, November.
    51. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    52. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    53. Martens, Martin & Poon, Ser-Huang, 2001. "Returns synchronization and daily correlation dynamics between international stock markets," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1805-1827, October.
    54. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
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    2. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz, 2006. "Political orientation of government and stock market returns," MPRA Paper 307, University Library of Munich, Germany, revised Nov 2006.

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    More about this item

    Keywords

    Financial spillovers; trading volume; Asian crisis;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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