IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2012-01.html
   My bibliography  Save this paper

Tactical allocation in falling stocks: Combining momentum and solvency ratio signals

Author

Listed:
  • Piotr Arendarski

    (University of Warsaw, Faculty of Economic Sciences)

Abstract

We identified 4500 US stocks with year ending losses of 50 percent or more during the 2001-2011 period. We screened our "falling knives" for financial strength to promote a greater likelihood of recovery and minimize any survivorship bias. We added the constraints of Altman Z-Scores, debt/equity ratio, and current ratio to our data set. We use GARCH-in-mean model to control the risk of the strategies. The results show consistent improvement of risk-standardized return profiles of the strategies in comparison with buy and hold strategy.

Suggested Citation

  • Piotr Arendarski, 2012. "Tactical allocation in falling stocks: Combining momentum and solvency ratio signals," Working Papers 2012-01, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2012-01
    as

    Download full text from publisher

    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP67.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    3. I. Roko & M. Gilli, 2008. "Using economic and financial information for stock selection," Computational Management Science, Springer, vol. 5(4), pages 317-335, October.
    4. Bhandari, Laxmi Chand, 1988. " Debt/Equity Ratio and Expected Common Stock Returns: Empirical Evidence," Journal of Finance, American Finance Association, vol. 43(2), pages 507-528, June.
    5. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. João F. Gomes & Leonid Kogan & Motohiro Yogo, 2009. "Durability of Output and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 117(5), pages 941-986.
    2. Leonid Kogan & Mary Tian, 2012. "Firm characteristics and empirical factor models: a data-mining experiment," International Finance Discussion Papers 1070, Board of Governors of the Federal Reserve System (U.S.).
    3. Yen-Sheng Lee, 2022. "Representative Bias and Pairs Trade: Evidence From S&P 500 and Russell 2000 Indexes," SAGE Open, , vol. 12(3), pages 21582440221, August.
    4. Artmann, Sabine & Finter, Philipp & Kempf, Alexander, 2010. "Determinants of expected stock returns: Large sample evidence from the German market," CFR Working Papers 10-01, University of Cologne, Centre for Financial Research (CFR).
    5. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    6. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).
    7. Sheu, Her-Jiun & Wu, Soushan & Ku, Kuang-Ping, 1998. "Cross-sectional relationships between stock returns and market beta, trading volume, and sales-to-price in Taiwan," International Review of Financial Analysis, Elsevier, vol. 7(1), pages 1-18.
    8. Ding, David K. & Chua, Jia Leng & Fetherston, Thomas A., 2005. "The performance of value and growth portfolios in East Asia before the Asian financial crisis," Pacific-Basin Finance Journal, Elsevier, vol. 13(2), pages 185-199, March.
    9. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
    10. Márcio André Veras Machado & Márcia Reis Machado, 2014. "Liquidity and asset pricing:evidence from the Brazilian market," Brazilian Business Review, Fucape Business School, vol. 11(1), pages 69-89, January.
    11. Skočir, Matevž & Lončarski, Igor, 2018. "Multi-factor asset pricing models: Factor construction choices and the revisit of pricing factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 65-80.
    12. Kewei Hou & Chen Xue & Lu Zhang, 2017. "Replicating Anomalies," NBER Working Papers 23394, National Bureau of Economic Research, Inc.
    13. Ebrahim, M. Shahid & Girma, Sourafel & Shah, M. Eskandar & Williams, Jonathan, 2014. "Rationalizing the value premium in emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 51-70.
    14. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    15. Long Chen & Lu Zhang, 2007. "Neoclassical Factors," NBER Working Papers 13282, National Bureau of Economic Research, Inc.
    16. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    17. M. Eskandar Shah & Sourafel Girm & R. Hudson, 2012. "Rationalizing the Value Premium under Economic Fundamentals in an Emerging Market," Working Papers 12010, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    18. Urbański, Stanisław & Zarzecki, Dariusz, 2022. "The Fama-French model for estimating the cost of equity capital: The impact of real options of investment projects," Economic Systems, Elsevier, vol. 46(1).
    19. Paola Brighi & Stefano d'Addona & Antonio Carlo Francesco Della Bina, 2010. "Too Small or too Low? New Evidence on the 4-Factor Model," Working Paper series 31_10, Rimini Centre for Economic Analysis.
    20. Pasaribu, Rowland Bismark Fernando, 2010. "Pemilihan Model Asset Pricing [Asset pricing model selection: Indonesian Stock Exchange]," MPRA Paper 36978, University Library of Munich, Germany.

    More about this item

    Keywords

    falling stocks; contrarian investing; financial strength ratios; GARCH in mean model; Augmented Dickey-Fuller test;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:war:wpaper:2012-01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marcin Bąba (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.