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SEC Form 13F-HR: Statistical investigation of trading imbalances and profitability analysis

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  • Deborah Miori
  • Mihai Cucuringu

Abstract

US Institutions with more than $100 million assets under management must disclose part of their long positions into the SEC Form 13F-HR on a quarterly basis. We consider the number of variations in holdings between consecutive reporting periods, and compute imbalances in buying versus selling behaviour for the assets under consideration. A significant opportunity for profit arises if an external investor is willing to trade contrarian to the 13F filings imbalances. Indeed, imbalances capture the amount of information already consumed in the market and the related trades tend to be inflated by crowding and herding. Betting on a relatively short-term movement of prices against the sign of imbalances results in a profitable strategy especially when using a time horizon between 21 and 42 trading days (corresponding to 1-2 calendar months) after each financial quarter ends.

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  • Deborah Miori & Mihai Cucuringu, 2022. "SEC Form 13F-HR: Statistical investigation of trading imbalances and profitability analysis," Papers 2209.08825, arXiv.org.
    • Handle: RePEc:arx:papers:2209.08825
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    References listed on IDEAS

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    1. Monica Billio & Loriana Pelizzon, 2014. "Interconnectedness and systemic risk: hedge funds, banks, insurance companies," BANCARIA, Bancaria Editrice, vol. 6, pages 81-91, June.
    2. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    3. Goldstein, Itay & Jiang, Hao & Ng, David T., 2017. "Investor flows and fragility in corporate bond funds," Journal of Financial Economics, Elsevier, vol. 126(3), pages 592-613.
    4. Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
    5. Chouliaras, Andreas, 2015. "Institutional Investors, Annual Reports, Textual Analysis and Stock Returns: Evidence from SEC EDGAR 10-K and 13-F Forms," MPRA Paper 65875, University Library of Munich, Germany.
    6. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
    7. Russ Wermers & Tong Yao & Jane Zhao, 2012. "Forecasting Stock Returns Through an Efficient Aggregation of Mutual Fund Holdings," The Review of Financial Studies, Society for Financial Studies, vol. 25(12), pages 3490-3529.
    8. Daniel Barth & R. Jay Kahn, 2021. "Hedge Funds and the Treasury Cash-Futures Disconnect," Working Papers 21-01, Office of Financial Research, US Department of the Treasury.
    9. James B. Thomson, 2009. "On systemically important financial institutions and progressive systemic mitigation," Policy Discussion Papers, Federal Reserve Bank of Cleveland, issue Aug.
    10. Guo Weilong & Minca Andreea & Wang Li, 2016. "The topology of overlapping portfolio networks," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 139-155, December.
    11. Rama Cont & Mihai Cucuringu & Chao Zhang, 2021. "Cross-Impact of Order Flow Imbalance in Equity Markets," Papers 2112.13213, arXiv.org, revised Jun 2023.
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