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How to analyze the investment–uncertainty relationship in real option models?

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  • Diderik Lund

Abstract

The real options tradition originally predicted a decreasing relationship between uncertainty and investment, through the positive effect of higher uncertainty on the trigger level for revenue relative to costs. An opposing effect on the probability of reaching the level has been identified, yielding a total effect with ambiguous sign. This paper makes three points. The “opposing” effect is not always opposing. Systematic risk cannot generally be assumed to increase with volatility. A probability is not the best measure of investment. The sign of the total effect is again ambiguous. This ambiguity is illustrated, depending on specification of model and parameters.

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  • Diderik Lund, 2005. "How to analyze the investment–uncertainty relationship in real option models?," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 311-322.
  • Handle: RePEc:wly:revfec:v:14:y:2005:i:3-4:p:311-322
    DOI: 10.1016/j.rfe.2004.10.001
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    Cited by:

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    4. Kanniainen, Juho, 2007. "Rothschild-Stiglitz's definition of increasing risk and the relationship between volatility and risk premium," Review of Financial Economics, Elsevier, vol. 16(4), pages 363-374.
    5. Sebastian Maier, 2021. "Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches," Annals of Operations Research, Springer, vol. 299(1), pages 907-937, April.
    6. Tsekrekos, Andrianos E., 2010. "The effect of mean reversion on entry and exit decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 725-742, April.
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    9. Davis, Graham A. & Cairns, Robert D., 2012. "Good timing: The economics of optimal stopping," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 255-265.
    10. Michail Chronopoulos, Derek Bunn, and Afzal Siddiqui, 2014. "Optionality and Policymaking in Re-Transforming the British Power Market," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    11. Lund, Diderik & Nymoen, Ragnar, 2013. "Comparative statics for real options on oil: What stylized facts to use?," Memorandum 14/2013, Oslo University, Department of Economics.
    12. Detert, Neal & Kotani, Koji, 2013. "Real options approach to renewable energy investments in Mongolia," Energy Policy, Elsevier, vol. 56(C), pages 136-150.
    13. Elmar Lukas & Andreas Welling, 2012. "On the Investment-Uncertainty Relationship: A Game Theoretic Real Option Approach," FEMM Working Papers 120030, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    14. Wong, Kit Pong, 2007. "The effect of uncertainty on investment timing in a real options model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2152-2167, July.
    15. Juho Kanniainen, 2007. "Rothschild–Stiglitz's definition of increasing risk and the relationship between volatility and risk premium," Review of Financial Economics, John Wiley & Sons, vol. 16(4), pages 363-374.
    16. Angelica Gianfreda & Alessandro Sbuelz, 2008. "Risk adjustment, investment policy, and valuation for an unlevered firm," Working Papers 49/2008, University of Verona, Department of Economics.
    17. Lund, Diderik, 2009. "Marginal versus Average Beta of Equity under Corporate Taxation," Memorandum 12/2009, Oslo University, Department of Economics.
    18. Timo Willershausen & Sascha H. Mölls & Karl-Heinz Schild, 2007. "Unsicherheit und der Wert realer Optionen," Schmalenbach Journal of Business Research, Springer, vol. 59(3), pages 314-332, May.
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    23. Berg, Tobias & Mölls, Sascha H. & Willershausen, Timo, 2009. "(Real-)options, uncertainty and comparative statics: Are Black and Scholes mistaken?," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 645, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

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