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Stochastic Properties of German Stock Returns

Author

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  • Kramer, Walter
  • Runde, Ralf

Abstract

We investigate various distributional properties of German stock returns, like serial correlation, the existence of higher moments and calendar effects, with a focus on the robustness of various empirical measures to a nonstandard distribution of the returns. We exhibit the well known Monday effect also for German stocks, and show that its significance, like that of the tests for serial correlation, depends on distributional assumptions which are often overlooked.

Suggested Citation

  • Kramer, Walter & Runde, Ralf, 1996. "Stochastic Properties of German Stock Returns," Empirical Economics, Springer, vol. 21(2), pages 281-306.
    • Handle: RePEc:spr:empeco:v:21:y:1996:i:2:p:281-306
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    Citations

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    Cited by:

    1. Walter Krämer, 1999. "Kointegration von Aktienkursen," Schmalenbach Journal of Business Research, Springer, vol. 51(10), pages 915-936, October.
    2. Krämer Walter, 2002. "Statistische Besonderheiten von Finanzzeitreihen / Statistical Properties of Financial Time Series," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(2), pages 210-229, April.
    3. Koch, Rosemarie & Stadtmann, Georg, 2010. "Das Gesetz zur Angemessenheit der Vorstandsvergütung," Discussion Papers 288, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    4. Daniel Fricke & Thomas Lux, 2015. "On the distribution of links in the interbank network: evidence from the e-MID overnight money market," Empirical Economics, Springer, vol. 49(4), pages 1463-1495, December.
    5. Wiesław Dębski & Ewa Feder-Sempach & Szymon Wójcik, 2018. "Statistical Properties of Rates of Return on Shares Listed on the German, French, and Polish Markets – a Comparative Study," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(1), March.
    6. Krzysztof Borowski, 2015. "Analysis of the Weekend Effect on the Markets of 121 Equity Indices and 29 Commodities," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(4), pages 23-35.
    7. Klaus Grobys, 2024. "Science or scientism? On the momentum illusion," Annals of Finance, Springer, vol. 20(4), pages 479-519, December.
    8. Walter Krämer, 2021. "Asymmetry in the distribution of daily stock returns," Empirical Economics, Springer, vol. 60(3), pages 1115-1125, March.
    9. Bogdan Batrinca & Christian W. Hesse & Philip C. Treleaven, 2018. "European trading volumes on cross‐market holidays," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 675-704, October.
    10. Krzysztof Borowski & Malgorzata Lukasik, 2015. "Analysis of Selected Seasonality Effects in the Following Agricultural Markets: Corn, Wheat, Coffee, Cocoa, Sugar, Cotton and Soybeans," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(2), pages 12-37.
    11. Grobys, Klaus, 2023. "Correlation versus co-fractality: Evidence from foreign-exchange-rate variances," International Review of Financial Analysis, Elsevier, vol. 86(C).
    12. Brian Lucey, 2004. "Robust estimates of daily seasonality in the Irish equity market," Applied Financial Economics, Taylor & Francis Journals, vol. 14(7), pages 517-523.

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