IDEAS home Printed from https://ideas.repec.org/a/bla/ecinqu/v53y2015i2p1019-1037.html

The Economics Of Emergency Meetings

Author

Listed:
  • David Aadland
  • Frederic P. Sterbenz

Abstract

type="main" xml:id="ecin12181-abs-0001"> In this article, we examine the timing of emergency meetings. Meetings are critical to the success of organizations, allowing them to coordinate information, discuss strategies, and realign policies to meet their objectives. We treat the emergency meetings between scheduled meetings as real options. The optimal strategy involves time-varying threshold values that, when exceeded, trigger an emergency meeting. The model explains why organizations need both scheduled and emergency meetings. The model also predicts more frequent emergency meetings during periods of high volatility and a hump-shaped distribution for the timing of emergency meetings. We find empirical support for these predictions using data from the Organization of Petroleum Exporting Countries and the Federal Open Market Committee of the U.S. Federal Reserve system . ( JEL C44, C61, C63)

Suggested Citation

  • David Aadland & Frederic P. Sterbenz, 2015. "The Economics Of Emergency Meetings," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1019-1037, April.
    • Handle: RePEc:bla:ecinqu:v:53:y:2015:i:2:p:1019-1037
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ecin.2015.53.issue-2
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Merton H. Miller & Daniel Orr, 1966. "A Model of the Demand for Money by Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(3), pages 413-435.
    2. N. Gregory Mankiw, 1985. "Small Menu Costs and Large Business Cycles: A Macroeconomic Model of Monopoly," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 529-538.
    3. Gur Huberman, 1988. "Optimality of Periodicity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 127-138.
    4. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474, December.
    5. Brennan, Michael J & Schwartz, Eduardo S, 1985. "Evaluating Natural Resource Investments," The Journal of Business, University of Chicago Press, vol. 58(2), pages 135-157, April.
    6. Andrew Caplin & John Leahy, 1991. "State-Dependent Pricing and the Dynamics of Money and Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 683-708.
    7. Dotsey, Michael & King, Robert G., 2005. "Implications of state-dependent pricing for dynamic macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 213-242, January.
    8. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    9. David P. Baron & David Besanko, 1984. "Regulation, Asymmetric Information, and Auditing," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 447-470, Winter.
    10. Stanton, Richard, 1995. "Rational Prepayment and the Valuation Mortgage-Backed Securities," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 677-708.
    11. Richard C. Morey & David A. Dittman, 1986. "Optimal Timing of Account Audits in Internal Control," Management Science, INFORMS, vol. 32(3), pages 272-282, March.
    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. Bolton, Patrick & Wang, Neng & Yang, Jinqiang, 2019. "Investment under uncertainty with financial constraints," Journal of Economic Theory, Elsevier, vol. 184(C).
    2. 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.
    3. Alain Bensoussan & Benoit Chevalier-Roignant & Alejandro Rivera, 2022. "A model for wind farm management with option interactions," Post-Print hal-04325553, HAL.
    4. Insley, M.C. & Wirjanto, T.S., 2010. "Contrasting two approaches in real options valuation: Contingent claims versus dynamic programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 157-176, April.
    5. Marco Antonio Guimaraes Dias & Jose Paulo Teixeira, 2010. "Continuous-Time Option Games: Review of Models and Extensions," Multinational Finance Journal, Multinational Finance Journal, vol. 14(3-4), pages 219-254, September.
    6. Suresh M. Sundaresan, 2000. "Continuous‐Time Methods in Finance: A Review and an Assessment," Journal of Finance, American Finance Association, vol. 55(4), pages 1569-1622, August.
    7. Hui Chen & Jianjun Miao & Neng Wang, 2010. "Entrepreneurial Finance and Nondiversifiable Risk," The Review of Financial Studies, Society for Financial Studies, vol. 23(12), pages 4348-4388, December.
    8. Madlener, Reinhard & Stoverink, Simon, 2012. "Power plant investments in the Turkish electricity sector: A real options approach taking into account market liberalization," Applied Energy, Elsevier, vol. 97(C), pages 124-134.
    9. Bernard Dumas, "undated". "Perishable Investment and Hysteresis in Capital Formation," Rodney L. White Center for Financial Research Working Papers 44-88, Wharton School Rodney L. White Center for Financial Research.
    10. Emi Nakamura & Jón Steinsson, 2010. "Monetary Non-neutrality in a Multisector Menu Cost Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 961-1013.
    11. Jyh-Bang Jou, 2000. "Irreversible Investment Decisions Under Uncertainty with Tax Holidays," Public Finance Review, , vol. 28(1), pages 66-81, January.
    12. Spiros H. Martzoukos & Nayia Pospori & Lenos Trigeorgis, 2024. "Corporate investment decisions with switch flexibility, constraints, and path-dependency," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 1223-1250, April.
    13. Shackleton, Mark B. & Tsekrekos, Andrianos E. & Wojakowski, Rafal, 2004. "Strategic entry and market leadership in a two-player real options game," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 179-201, January.
    14. Jianjun Miao & Neng Wang, 2004. "Investment, Hedging, and Consumption Smoothing," Finance 0407014, University Library of Munich, Germany.
    15. Miao, Jianjun & Wang, Neng, 2007. "Investment, consumption, and hedging under incomplete markets," Journal of Financial Economics, Elsevier, vol. 86(3), pages 608-642, December.
    16. Marcel Philipp Müller & Sebastian Stöckl & Steffen Zimmermann & Bernd Heinrich, 2016. "Decision Support for IT Investment Projects," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(6), pages 381-396, December.
    17. Hunt, Richard A. & Song, Yue & Townsend, David M. & Stallkamp, Maximilian, 2021. "Internationalization of entrepreneurial firms: Leveraging real options reasoning through affordable loss logics," Journal of Business Research, Elsevier, vol. 133(C), pages 194-207.
    18. Costain, James & Nakov, Anton, 2015. "Precautionary price stickiness," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 218-234.
    19. Peng, Juan & Yang, Jinqiang & Zhao, Pengxiang, 2025. "Investment, Tobin’s q, and the stochastic price of fossil fuel," Energy Economics, Elsevier, vol. 148(C).
    20. Grenadier, Steven R. & Wang, Neng, 2005. "Investment timing, agency, and information," Journal of Financial Economics, Elsevier, vol. 75(3), pages 493-533, March.

    More about this item

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:bla:ecinqu:v:53:y:2015:i:2:p:1019-1037. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    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.