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Momentum in Imperial Russia

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  • William Goetzmann
  • Simon Huang

Abstract

Some of the leading theories of momentum have different empirical predictions about its profitability conditional on market composition and structure. The overconfidence explanation provided by Daniel, Hirshleifer, and Subrahmanyam (1998), for example, predicts lower momentum profits in markets with more sophisticated investors. The information-based theory of Hong and Stein (1999) predicts lower momentum profits in markets with lower informational frictions. The institutional theory of Vayanos and Woolley (2013) predicts lower momentum profits in markets with less agency. In this paper, we use a dataset from a major 19th century equity market to test these predictions. Over this period, there was no evidence of delegated management in Imperial Russia. A regulatory change in 1893 made speculating on the St. Petersburg stock market more accessible to small investors. We find a momentum effect that is similar in magnitude to those in modern markets and stronger during the post-1893 period than during the pre-1893 period, consistent with the overconfidence theory of momentum.

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  • William Goetzmann & Simon Huang, 2015. "Momentum in Imperial Russia," NBER Working Papers 21700, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21700
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    8. Vandenbruaene, Jonas & De Ceuster, Marc & Annaert, Jan, 2023. "Does time series momentum also exist outside traditional financial markets? Near-laboratory evidence from sports betting," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    9. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.
    10. Joseph Engelberg & Linh Thompson & Jared Williams, 2020. "Stock market anomalies and baseball cards," The Financial Review, Eastern Finance Association, vol. 55(3), pages 461-479, August.
    11. Gram, Dennis & Karapanagiotis, Pantelis & Krzyzanowski, Jan & Liebald, Marius & Walz, Uwe, 2021. "An extensible model for historical financial data with an application to German company and stock market data," SAFE Working Paper Series 300, Leibniz Institute for Financial Research SAFE.
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    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • N2 - Economic History - - Financial Markets and Institutions

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