IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v50y2022ics1544612322004834.html
   My bibliography  Save this article

Trade momentum for alpha

Author

Listed:
  • Hong, Weiting

Abstract

I provide new evidence on the value-relevance of international trade development, the heterogeneous distribution of foreign economic benefits among market participants, and the value-add of additional geographic information disclosure by designing the Trade Momentum Index with publicly available citation share, export volume, and trade barrier data. Using a sample of 13,016 firm-year combinations of goods-exporting U.S. firms between 2008 and 2020, I find that a Trade Momentum Index-based, equal-weight hedge portfolio generates a statistically significant annualized alpha of 17.42% at a Sharpe ratio of 0.8255. This result exhibits robustness as the abnormal returns persist under different factor models.

Suggested Citation

  • Hong, Weiting, 2022. "Trade momentum for alpha," Finance Research Letters, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004834
    DOI: 10.1016/j.frl.2022.103300
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322004834
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.103300?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ole‐Kristian Hope & Tony Kang & Wayne B. Thomas & Florin Vasvari, 2008. "Pricing and Mispricing Effects of SFAS 131," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 281-306, April.
    2. Justin R. Pierce & Peter K. Schott, 2009. "A Concordance Between Ten-Digit U.S. Harmonized System Codes and SIC/NAICS Product Classes and Industries," NBER Working Papers 15548, National Bureau of Economic Research, Inc.
    3. Ole-Kristian Hope & Tony Kang & Wayne B. Thomas & Florin Vasvari, 2008. "Pricing and Mispricing Effects of SFAS 131," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3-4), pages 281-306.
    4. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    5. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    6. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    7. Li, Ningzhong & Richardson, Scott & Tuna, İrem, 2014. "Macro to micro: Country exposures, firm fundamentals and stock returns," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 1-20.
    8. Fontagné, Lionel & Guillin, Amélie & Mitaritonna, Cristina, 2010. "Estimations of Tariff Equivalents for the Services Sectors," Conference papers 331941, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    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. Pingui Rao & Heng Yue & Xin Zhou, 2018. "Return predictability and the real option value of segments," Review of Accounting Studies, Springer, vol. 23(1), pages 167-199, March.
    2. Lee, Charles M.C. & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2019. "Technological links and predictable returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 76-96.
    3. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    4. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    5. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    6. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    7. Po-Hsuan Hsu & Dongmei Li & Qin Li & Siew Hong Teoh & Kevin Tseng, 2022. "Valuation of New Trademarks," Management Science, INFORMS, vol. 68(1), pages 257-279, January.
    8. Ciciretti, Rocco & Dalò, Ambrogio & Dam, Lammertjan, 2023. "The contributions of betas versus characteristics to the ESG premium," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 104-124.
    9. Jeong, Giho & Kang, Jangkoo & Kwon, Kyung Yoon, 2018. "Liquidity skewness premium," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 130-150.
    10. Liu, Siqi & Yin, Chao & Zeng, Yeqin, 2021. "Abnormal investment and firm performance," International Review of Financial Analysis, Elsevier, vol. 78(C).
    11. Yu Wang & Haicheng Shu, 2019. "Evaluating the Performance of Factor Pricing Models for Different Stock Market Trends: Evidence from China," Working Papers 2019-10-10, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    12. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2020. "Firm profitability and expected stock returns: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 51(C).
    13. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    14. Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    15. Božović, Miloš, 2023. "Can a dynamic correlation factor improve the pricing of industry portfolios?," Finance Research Letters, Elsevier, vol. 53(C).
    16. Ruanmin Cao & Lajos Horváth & Zhenya Liu & Yuqian Zhao, 2020. "A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 335-358, January.
    17. Arvanitis, Stelios & Scaillet, Olivier & Topaloglou, Nikolas, 2020. "Spanning tests for Markowitz stochastic dominance," Journal of Econometrics, Elsevier, vol. 217(2), pages 291-311.
    18. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.
    19. Abderrazak Dhaoui & Nesrine Bensalah, 2017. "Asset valuation impact of investor sentiment: A revised Fama–French five-factor model," Journal of Asset Management, Palgrave Macmillan, vol. 18(1), pages 16-28, January.
    20. Lin, Chaonan & Chen, Hong-Yi & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2021. "Time-dependent lottery preference and the cross-section of stock returns," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 272-294.

    More about this item

    Keywords

    Asset pricing; Forecasting returns; International trade; Investment decisions; Market inefficiency; Portfolio choice;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

    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:eee:finlet:v:50:y:2022:i:c:s1544612322004834. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.