IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v61y2015icp1-16.html
   My bibliography  Save this article

Value and risk dynamics over the innovation cycle

Author

Listed:
  • Dockner, Engelbert J.
  • Siyahhan, Baran

Abstract

This paper studies investment in intellectual capital and corresponding value and risk dynamics over the innovation cycle. We assume that the innovation cycle consists of three phases, R&D, trial, and market introduction phases. We use a real option investment model to characterize firm value and risk dynamics over the innovation cycle and find that firm value is the sum of the value of assets in place and non-linear option values related to breakthrough, exit, and market introduction options. Firm risk over the innovation cycle is highly non-linear and quite distinct in different phases. During the R&D phase risk is high as the firm faces high operating leverage originating from R&D fixed costs together with technological uncertainty. During the trial phase risk is significantly lower and dominated by option risk to launch the product in the market while after the introduction of the product in the market risk is equivalent to the asset risk of the company. Our model is consistent with the view that positive excess returns of R&D intensive firms are a compensation for risk. Based on this insight we derive several testable predictions.

Suggested Citation

  • Dockner, Engelbert J. & Siyahhan, Baran, 2015. "Value and risk dynamics over the innovation cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 1-16.
  • Handle: RePEc:eee:dyncon:v:61:y:2015:i:c:p:1-16
    DOI: 10.1016/j.jedc.2015.07.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165188915001359
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jedc.2015.07.005?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lin, Xiaoji, 2012. "Endogenous technological progress and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 103(2), pages 411-427.
    2. Garlappi, Lorenzo, 2004. "Risk Premia and Preemption in R&D Ventures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 843-872, December.
    3. Dawid, H. & Kopel, M. & Kort, P.M., 2013. "R&D competition versus R&D cooperation in oligopolistic markets with evolving structure," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 527-537.
    4. Helen Weeds, 2002. "Strategic Delay in a Real Options Model of R&D Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 729-747.
    5. Ron Giammarino & Murray Carlson & Adlai Fisher, 2004. "Corporate Investment and Asset Price Dynamics: Implications for Post-SEO Performance," 2004 Meeting Papers 812, Society for Economic Dynamics.
    6. 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.
    7. Jonathan B. Berk, 2004. "Valuation and Return Dynamics of New Ventures," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 1-35.
    8. Kristian R. Miltersen & Eduardo S. Schwartz, 2007. "Real Options With Uncertain Maturity and Competition," NBER Working Papers 12990, National Bureau of Economic Research, Inc.
    9. Harrison, J. Michael & Kreps, David M., 1979. "Martingales and arbitrage in multiperiod securities markets," Journal of Economic Theory, Elsevier, vol. 20(3), pages 381-408, June.
    10. Louis K. C. Chan & Josef Lakonishok & Theodore Sougiannis, 2001. "The Stock Market Valuation of Research and Development Expenditures," Journal of Finance, American Finance Association, vol. 56(6), pages 2431-2456, December.
    11. Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, December.
    12. 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.
    13. Lev, Baruch & Sougiannis, Theodore, 1996. "The capitalization, amortization, and value-relevance of R&D," Journal of Accounting and Economics, Elsevier, vol. 21(1), pages 107-138, February.
    14. Lev, B & Zarowin, P, 1999. "The boundaries of financial reporting and how to extend them," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 353-385.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Colombo, Luca & Labrecciosa, Paola, 2021. "A stochastic differential game of duopolistic competition with sticky prices," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    2. Gao, Kang & Yuan, Yijun, 2022. "Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China," Technology in Society, Elsevier, vol. 70(C).
    3. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
    4. Caggese, Andrea & Pérez-Orive, Ander, 2022. "How stimulative are low real interest rates for intangible capital?," European Economic Review, Elsevier, vol. 142(C).

    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. 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).
    2. Li, Kai & Tsou, Chi-Yang & Xu, Chenjie, 2023. "Learning and the capital age premium," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 76-90.
    3. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    4. Frederico Belo & Xiaoji Lin & Maria Ana Vitorino, 2014. "Brand Capital and Firm Value," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 150-169, January.
    5. Jun Li, 2019. "Explaining Momentum and Value Simultaneously," Management Science, INFORMS, vol. 64(9), pages 4239-4260, September.
    6. Po-Hsuan Hsu & Hsiao-Hui Lee & Tong Zhou, 2022. "Patent Thickets, Stock Returns, and Conditional CAPM," Management Science, INFORMS, vol. 68(11), pages 8343-8367, November.
    7. Tseng, Kevin, 2022. "Learning from the Joneses: Technology spillover, innovation externality, and stock returns," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    8. Ciftci, Mustafa & Cready, William M., 2011. "Scale effects of R&D as reflected in earnings and returns," Journal of Accounting and Economics, Elsevier, vol. 52(1), pages 62-80, June.
    9. Ewens, Michael & Peters, Ryan & Wang, Sean, 2019. "Measuring Intangible Capital with Market Prices," SocArXiv kvp2f, Center for Open Science.
    10. Gu, Lifeng, 2016. "Product market competition, R&D investment, and stock returns," Journal of Financial Economics, Elsevier, vol. 119(2), pages 441-455.
    11. Griffin, Paul A. & Hong, Hyun A. & Ryou, Ji Woo, 2018. "Corporate innovative efficiency: Evidence of effects on credit ratings," Journal of Corporate Finance, Elsevier, vol. 51(C), pages 352-373.
    12. Leung, Woon Sau & Evans, Kevin P. & Mazouz, Khelifa, 2020. "The R&D anomaly: Risk or mispricing?," Journal of Banking & Finance, Elsevier, vol. 115(C).
    13. Hsu, Po-Hsuan, 2009. "Technological innovations and aggregate risk premiums," Journal of Financial Economics, Elsevier, vol. 94(2), pages 264-279, November.
    14. 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.
    15. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    16. Ronald J. Balvers & Li Gu & Dayong Huang, 2017. "Profitability, Value, and Stock Returns in Production‐Based Asset Pricing without Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1621-1651, October.
    17. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.
    18. Cazavan-Jeny , Anne & Jeanjean, Thomas, 2003. "Value Relevance of R&D Reporting : A Signaling Interpretation," ESSEC Working Papers DR 03021, ESSEC Research Center, ESSEC Business School.
    19. Saida Dammak, 2014. "An Analysis of the Relationship between the Voluntary Disclosure of the Intellectual Capital and the Firm Value," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 4(11), pages 546-566.
    20. Chan, Konan & Lin, Yueh-hsiang & Wang, Yanzhi, 2015. "The information content of R&D reductions," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 131-155.

    More about this item

    Keywords

    Intellectual capital; R&D; Firm risk; Real options;
    All these keywords.

    JEL classification:

    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G39 - Financial Economics - - Corporate Finance and Governance - - - Other
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:dyncon:v:61:y:2015:i:c:p:1-16. 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/jedc .

    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.