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The Marketing Capability Premium
[Formulation and estimation of stochastic frontier production function models]

Author

Listed:
  • Tze Chuan (Chewie) Ang
  • Tarun Chordia
  • Vivian Van-Anh Mai
  • Harminder Singh

Abstract

Marketing capability refers to a firm’s ability to optimally deploy and integrate different marketing inputs to achieve high sales at low cost. This paper examines whether the value of marketing capability is incorporated into stock returns. High-level marketing capability predicts better future operating performance and stock returns. A marketing capability-based long-short portfolio strategy earns an average annual return of 5.16%, a substantial portion of which is earned over subsequent earnings announcements. The return predictability is stronger in stocks with higher valuation uncertainty and lower investor attention. Investors underreact to the value-relevant, but difficult to process, information embedded in marketing capability. (JEL G12, G14, G10, M30)Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • Tze Chuan (Chewie) Ang & Tarun Chordia & Vivian Van-Anh Mai & Harminder Singh, 2022. "The Marketing Capability Premium [Formulation and estimation of stochastic frontier production function models]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(4), pages 918-959.
  • Handle: RePEc:oup:rasset:v:12:y:2022:i:4:p:918-959.
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    File URL: http://hdl.handle.net/10.1093/rapstu/raac004
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    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. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    4. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    5. Gu, Lifeng, 2016. "Product market competition, R&D investment, and stock returns," Journal of Financial Economics, Elsevier, vol. 119(2), pages 441-455.
    6. Paul Gompers & Joy Ishii & Andrew Metrick, 2003. "Corporate Governance and Equity Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 107-156.
    7. Chemmanur, Thomas & Yan, An, 2009. "Product market advertising and new equity issues," Journal of Financial Economics, Elsevier, vol. 92(1), pages 40-65, April.
    8. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    9. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    10. Luo, Xueming & Donthu, Naveen, 2005. "Assessing advertising media spending inefficiencies in generating sales," Journal of Business Research, Elsevier, vol. 58(1), pages 28-36, January.
    11. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    12. Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
    13. Kewei Hou & David T. Robinson, 2006. "Industry Concentration and Average Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1927-1956, August.
    14. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    15. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    16. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    17. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    18. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    19. Doron Avramov & Tarun Chordia, 2006. "Asset Pricing Models and Financial Market Anomalies," Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 1001-1040.
    20. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    21. Andrea L. Eisfeldt & Dimitris Papanikolaou, 2013. "Organization Capital and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 68(4), pages 1365-1406, August.
    22. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    23. Yasin Alan & George P. Gao & Vishal Gaur, 2014. "Does Inventory Productivity Predict Future Stock Returns? A Retailing Industry Perspective," Management Science, INFORMS, vol. 60(10), pages 2416-2434, November.
    24. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    25. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    26. Lucian Bebchuk & Alma Cohen & Allen Ferrell, 2009. "What Matters in Corporate Governance?," Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 783-827, February.
    27. Laurent Frésard & Philip Valta, 2016. "How Does Corporate Investment Respond to Increased Entry Threat?," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 5(1), pages 1-35.
    28. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    29. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
    30. Grullon, Gustavo & Kaba, Yamil & Núñez-Torres, Alexander, 2020. "When low beats high: Riding the sales seasonality premium," Journal of Financial Economics, Elsevier, vol. 138(2), pages 572-591.
    31. Jeffrey Pontiff, 1996. "Costly Arbitrage: Evidence from Closed-End Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1135-1151.
    32. 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.
    33. Hwang, Byoung-Hyoun & Kim, Hugh Hoikwang, 2017. "It pays to write well," Journal of Financial Economics, Elsevier, vol. 124(2), pages 373-394.
    34. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    35. Laurent Fresard, 2010. "Financial Strength and Product Market Behavior: The Real Effects of Corporate Cash Holdings," Journal of Finance, American Finance Association, vol. 65(3), pages 1097-1122, June.
    36. Dong Lou, 2014. "Attracting Investor Attention through Advertising," Review of Financial Studies, Society for Financial Studies, vol. 27(6), pages 1797-1829.
    37. Laurent Fresard, 2010. "Financial Strength and Product Market Behavior: The Real Effects of Corporate Cash Holdings," Post-Print hal-00537081, HAL.
    38. Om Narasimhan & Surendra Rajiv & Shantanu Dutta, 2006. "Absorptive Capacity in High-Technology Markets: The Competitive Advantage of the Haves," Marketing Science, INFORMS, vol. 25(5), pages 510-524, September.
    39. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    40. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    41. Kumar, Alok, 2009. "Hard-to-Value Stocks, Behavioral Biases, and Informed Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1375-1401, December.
    42. Shantanu Dutta & Om Narasimhan & Surendra Rajiv, 1999. "Success in High-Technology Markets: Is Marketing Capability Critical?," Marketing Science, INFORMS, vol. 18(4), pages 547-568.
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    More about this item

    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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General

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