IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v73y2023icp238-250.html
   My bibliography  Save this article

Technology spillover, corporate investment, and stock returns

Author

Listed:
  • Hsu, Yen-Ju
  • Wang, Yanzhi

Abstract

This study examines the role of technology spillover in the negative relationship between corporate investment and subsequent stock returns. Technology spillover is a well-documented phenomenon in the asset pricing literature. We employ asset growth, real investment, and net share issuance as proxies for corporate investment. The results reveal a strong negative relationship between corporate investment and stock returns when firms have a high level of technology spillover. These results are consistent with the dynamic Q-theory of Li, Livdan, and Zhang (2009); investment opportunities can cause a more substantial asset pricing effect associated with corporate investment. This study also examines the role of technology spillover in the positive relationship between corporate profitability and subsequent stock returns. The results indicate a positive relationship between profitability and stock returns for firms with lower levels of technology spillover.

Suggested Citation

  • Hsu, Yen-Ju & Wang, Yanzhi, 2023. "Technology spillover, corporate investment, and stock returns," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 238-250.
    • Handle: RePEc:eee:empfin:v:73:y:2023:i:c:p:238-250
    DOI: 10.1016/j.jempfin.2023.07.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092753982300066X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jempfin.2023.07.001?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. d'Aspremont, Claude & Jacquemin, Alexis, 1988. "Cooperative and Noncooperative R&D in Duopoly with Spillovers," American Economic Review, American Economic Association, vol. 78(5), pages 1133-1137, December.
    2. Leonid Kogan & Dimitris Papanikolaou, 2013. "Firm Characteristics and Stock Returns: The Role of Investment-Specific Shocks," The Review of Financial Studies, Society for Financial Studies, vol. 26(11), pages 2718-2759.
    3. Itamar Drechsler & Alexi Savov & Philipp Schnabl, 2018. "A Model of Monetary Policy and Risk Premia," Journal of Finance, American Finance Association, vol. 73(1), pages 317-373, February.
    4. Mike Qinghao Mao & K. C. John Wei, 2016. "Cash-Flow News and the Investment Effect in the Cross Section of Stock Returns," Management Science, INFORMS, vol. 62(9), pages 2504-2519, September.
    5. Gavazzoni, Federico & Santacreu, Ana Maria, 2020. "International R&D spillovers and asset prices," Journal of Financial Economics, Elsevier, vol. 136(2), pages 330-354.
    6. Leonid Kogan & Dimitris Papanikolaou, 2014. "Growth Opportunities, Technology Shocks, and Asset Prices," Journal of Finance, American Finance Association, vol. 69(2), pages 675-718, April.
    7. Laura Xiaolei Liu & Toni M. Whited & Lu Zhang, 2009. "Investment-Based Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 1105-1139, December.
    8. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    9. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    10. Frederico Belo & Xiaoji Lin & Santiago Bazdresch, 2014. "Labor Hiring, Investment, and Stock Return Predictability in the Cross Section," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 129-177.
    11. Wang, Yanzhi, 2023. "Trade secrets laws and technology spillovers," Research Policy, Elsevier, vol. 52(7).
    12. Cabrer-Borras, Bernardi & Serrano-Domingo, Guadalupe, 2007. "Innovation and R&D spillover effects in Spanish regions: A spatial approach," Research Policy, Elsevier, vol. 36(9), pages 1357-1371, November.
    13. Jegadeesh, Narasimhan & Livnat, Joshua, 2006. "Revenue surprises and stock returns," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 147-171, April.
    14. Kent Daniel & Sheridan Titman, 2006. "Market Reactions to Tangible and Intangible Information," Journal of Finance, American Finance Association, vol. 61(4), pages 1605-1643, August.
    15. Belo, Frederico, 2010. "Production-based measures of risk for asset pricing," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 146-163, March.
    16. James R. Brown & Steven M. Fazzari & Bruce C. Petersen, 2009. "Financing Innovation and Growth: Cash Flow, External Equity, and the 1990s R&D Boom," Journal of Finance, American Finance Association, vol. 64(1), pages 151-185, February.
    17. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
    18. Bruno Cassiman & Reinhilde Veugelers, 2002. "R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium," American Economic Review, American Economic Association, vol. 92(4), pages 1169-1184, September.
    19. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    20. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    21. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    22. Cooper, Ilan & Priestley, Richard, 2011. "Real investment and risk dynamics," Journal of Financial Economics, Elsevier, vol. 101(1), pages 182-205, July.
    23. Bresnahan, Timothy F, 1986. "Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services," American Economic Review, American Economic Association, vol. 76(4), pages 742-755, September.
    24. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    25. Andrei, Daniel & Mann, William & Moyen, Nathalie, 2019. "Why did the q theory of investment start working?," Journal of Financial Economics, Elsevier, vol. 133(2), pages 251-272.
    26. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    27. Liang, Feng Helen, 2017. "Does foreign direct investment improve the productivity of domestic firms? Technology spillovers, industry linkages, and firm capabilities," Research Policy, Elsevier, vol. 46(1), pages 138-159.
    28. Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2020. "Public R&D spending and cross-sectional stock returns," Research Policy, Elsevier, vol. 49(1).
    29. Ángel L. López & Xavier Vives, 2019. "Overlapping Ownership, R&D Spillovers, and Antitrust Policy," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 2394-2437.
    30. Tseng, Kevin, 2022. "Learning from the Joneses: Technology spillover, innovation externality, and stock returns," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    31. Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2013. "R&D Spillover Effects and Firm Performance Following R&D Increases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1607-1634, October.
    32. 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.
    33. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 249-267.
    34. Yi Jiang & Yiming Qian & Tong Yao, 2016. "R&D Spillover and Predictable Returns," Review of Finance, European Finance Association, vol. 20(5), pages 1769-1797.
    35. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    36. Maria Ana Vitorino, 2014. "Understanding the Effect of Advertising on Stock Returns and Firm Value: Theory and Evidence from a Structural Model," Management Science, INFORMS, vol. 60(1), pages 227-245, January.
    37. Balvers, Ronald J. & Huang, Dayong, 2007. "Productivity-based asset pricing: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 86(2), pages 405-445, November.
    38. Kevin J. Lansing, 2015. "Asset Pricing with Concentrated Ownership of Capital and Distribution Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 67-103, October.
    39. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    40. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    41. Massimiliano Croce, Mariano, 2014. "Long-run productivity risk: A new hope for production-based asset pricing?," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 13-31.
    42. 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.
    43. Li, Dongmei & Zhang, Lu, 2010. "Does q-theory with investment frictions explain anomalies in the cross section of returns?," Journal of Financial Economics, Elsevier, vol. 98(2), pages 297-314, November.
    44. Titman, Sheridan & Wei, K. C. John & Xie, Feixue, 2004. "Capital Investments and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 677-700, December.
    45. Evgeny Lyandres & Le Sun & Lu Zhang, 2008. "The New Issues Puzzle: Testing the Investment-Based Explanation," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2825-2855, November.
    46. M. Max Croce & Howard Kung & Thien T. Nguyen & Lukas Schmid, 2012. "Fiscal Policies and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2635-2672.
    47. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
    48. Cochrane, John H, 1991. "Production-Based Asset Pricing and the Link between Stock Returns and Economic Fluctuations," Journal of Finance, American Finance Association, vol. 46(1), pages 209-237, March.
    49. Hung‐Kun Chen & Konan Chan & Yanzhi Wang, 2019. "Returns to scale and asset prices," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 46(9-10), pages 1299-1318, October.
    50. Qiu, Jiaping & Wan, Chi, 2015. "Technology spillovers and corporate cash holdings," Journal of Financial Economics, Elsevier, vol. 115(3), pages 558-573.
    51. Thien Nguyen & Lukas Schmid & Howard Kung & Mariano Croce, 2012. "Fiscal Policies and Asset Prices," 2012 Meeting Papers 565, Society for Economic Dynamics.
    52. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
    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. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    2. Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2020. "Public R&D spending and cross-sectional stock returns," Research Policy, Elsevier, vol. 49(1).
    3. Kewei Hou & Chen Xue & Lu Zhang, 2017. "Replicating Anomalies," NBER Working Papers 23394, National Bureau of Economic Research, Inc.
    4. Huang, Yuan & Lam, F.Y. Eric C. & Wei, K.C. John, 2014. "The q-theory explanation for the external financing effect: New evidence," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 69-81.
    5. Wikrom Prombutr & Chanwit Phengpis & Ying Zhang, 2023. "Anomalies in U.S. REIT Returns: Evidence for and against the Q-theory," International Real Estate Review, Global Social Science Institute, vol. 26(1), pages 43-71.
    6. Christian Walkshäusl & Sebastian Lobe, 2014. "The Alternative Three†Factor Model: An Alternative beyond US Markets?," European Financial Management, European Financial Management Association, vol. 20(1), pages 33-70, January.
    7. Huang, Alan Guoming & Sun, Kevin Jialin, 2019. "Equity financing restrictions and the asset growth effect: International vs. Asian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    8. Byoung‐Kyu Min & Jangkoo Kang & Changjun Lee & Tai‐Yong Roh, 2020. "The q‐Factors and Macroeconomic Conditions: Asymmetric Effects of the Business Cycles on Long and Short Sides," International Review of Finance, International Review of Finance Ltd., vol. 20(4), pages 897-921, December.
    9. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    10. David Hirshleifer & Po-Hsuan Hsu & Dongmei Li, 2018. "Innovative Originality, Profitability, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2553-2605.
    11. Chuan ‘Chewie’ Ang, Tze & Lam, F.Y. Eric C. & Ma, Tai & Wang, Shujing & Wei, K.C. John, 2019. "What is the real relationship between cash holdings and stock returns?," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 513-528.
    12. Ang, Tze Chuan ‘Chewie’ & Lam, F.Y. Eric C. & Wei, K.C. John, 2020. "Mispricing firm-level productivity," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 139-163.
    13. Lam, F.Y. Eric C. & Wei, K.C. John, 2011. "Limits-to-arbitrage, investment frictions, and the asset growth anomaly," Journal of Financial Economics, Elsevier, vol. 102(1), pages 127-149, October.
    14. Ilan Cooper & Paulo Maio, 2019. "Asset Growth, Profitability, and Investment Opportunities," Management Science, INFORMS, vol. 65(9), pages 3988-4010, September.
    15. Abdoh, Hussein & Varela, Oscar, 2021. "What lies behind the asset growth effect?," Global Finance Journal, Elsevier, vol. 48(C).
    16. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    17. Oh, Jong-Min, 2017. "Absorptive capacity, technology spillovers, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 146-164.
    18. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    19. Jamali, Ibrahim & Yamani, Ehab & Smallwood, Aaron D., 2023. "An investment-based explanation of currency excess returns," Journal of International Money and Finance, Elsevier, vol. 133(C).
    20. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.

    More about this item

    Keywords

    Technology spillover; Corporate investment; Profitability; Stock return; Q-theory;
    All these keywords.

    JEL classification:

    • 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
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:empfin:v:73:y:2023:i:c:p:238-250. 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/jempfin .

    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.