IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v49y2017i56p5662-5672.html
   My bibliography  Save this article

Valuing investment projects under interest rate risk: empirical evidence from European firms

Author

Listed:
  • Luca Vincenzo Ballestra
  • Graziella Pacelli
  • Davide Radi

Abstract

In this article, we perform an empirical investigation of the effect of the interest rate uncertainty on the valuation of investment projects. The analysis is carried out by employing a real option approach and by considering a set of firms that operate in various production sectors in the euro area. In particular, the revenues generated by the investment projects are modelled using a geometric Brownian motion, whereas the interest rate is specified as a stochastic process of Vasicek type. Moreover, using the volatility of the equity return as a proxy, the volatility of the revenues is calibrated to real firm data, while the parameters of the interest rate model are estimated by fitting the Euribor time series. To this aim, an ad hoc calibration procedure is developed which is based on the maximum likelihood principle and thus has the merit of being simple, fast and suitable for practical purposes. Our study reveals that the interest rate uncertainty reduces the valuation of investment projects. However, stochastic interest rates do not provide a substantial improvement with respect to constant interest rates, or at least the differences are not statistically significant.

Suggested Citation

  • Luca Vincenzo Ballestra & Graziella Pacelli & Davide Radi, 2017. "Valuing investment projects under interest rate risk: empirical evidence from European firms," Applied Economics, Taylor & Francis Journals, vol. 49(56), pages 5662-5672, December.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:56:p:5662-5672
    DOI: 10.1080/00036846.2017.1327120
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2017.1327120
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2017.1327120?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. Michael Bradley & Dennis R. Capozza & Paul J. Seguin, 1998. "Dividend Policy and Cash‐Flow Uncertainty," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(4), pages 555-580, December.
    2. Ingersoll, Jonathan E, Jr & Ross, Stephen A, 1992. "Waiting to Invest: Investment and Uncertainty," The Journal of Business, University of Chicago Press, vol. 65(1), pages 1-29, January.
    3. Fernandes, Bartolomeu & Cunha, Jorge & Ferreira, Paula, 2011. "The use of real options approach in energy sector investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4491-4497.
    4. Marcus Schulmerich, 2010. "Real Options Valuation," Springer Books, Springer, number 978-3-642-12662-8, September.
    5. Antonio E. Bernardo & Bhagwan Chowdhry & Amit Goyal, 2012. "Assessing Project Risk," Journal of Applied Corporate Finance, Morgan Stanley, vol. 24(3), pages 94-100, September.
    6. Luca Vincenzo Ballestra & Graziella Pacelli & Davide Radi, 2016. "A Note On Fergusson And Platen: “Application Of Maximum Likelihood Estimation To Stochastic Short Rate Models”," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 1-7, December.
    7. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    8. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    9. Chay, J.B. & Suh, Jungwon, 2009. "Payout policy and cash-flow uncertainty," Journal of Financial Economics, Elsevier, vol. 93(1), pages 88-107, July.
    10. Robert McDonald & Daniel Siegel, 1986. "The Value of Waiting to Invest," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(4), pages 707-727.
    11. Saita, Francesco, 2007. "Value at Risk and Bank Capital Management," Elsevier Monographs, Elsevier, edition 1, number 9780123694669.
    12. Madan, Dilip & Unal, Haluk, 2000. "A Two-Factor Hazard Rate Model for Pricing Risky Debt and the Term Structure of Credit Spreads," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(1), pages 43-65, March.
    13. Manley, Bruce & Niquidet, Kurt, 2010. "What is the relevance of option pricing for forest valuation in New Zealand?," Forest Policy and Economics, Elsevier, vol. 12(4), pages 299-307, April.
    14. K. Fergusson & E. Platen, 2015. "Application Of Maximum Likelihood Estimation To Stochastic Short Rate Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    15. Charalampopoulos, George & Katsianis, Dimitris & Varoutas, Dimitris, 2011. "The option to expand to a next generation access network infrastructure and the role of regulation in a discrete time setting: A real options approach," Telecommunications Policy, Elsevier, vol. 35(9), pages 895-906.
    16. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    17. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    18. Luis H. R. Alvarez & Erkki Koskela, 2006. "Irreversible Investment under Interest Rate Variability: Some Generalizations," The Journal of Business, University of Chicago Press, vol. 79(2), pages 623-644, March.
    19. Santos, Lúcia & Soares, Isabel & Mendes, Carla & Ferreira, Paula, 2014. "Real Options versus Traditional Methods to assess Renewable Energy Projects," Renewable Energy, Elsevier, vol. 68(C), pages 588-594.
    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. Carmona, Julio & Leon, Angel, 2007. "Investment option under CIR interest rates," Finance Research Letters, Elsevier, vol. 4(4), pages 242-253, December.
    2. Spahr, Ronald W. & Schwebach, Robert G., 1998. "Comparing Mean Reverting Versus Pure Diffusion Interest Rate Processes in Valuing Postponement Options," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(3, Part 2), pages 579-598.
    3. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    4. 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.
    5. Newell, Richard G. & Pizer, William A., 2003. "Discounting the distant future: how much do uncertain rates increase valuations?," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 52-71, July.
    6. Davide Radi & Vu Phuong Hoang & Gabriele Torri & Hana Dvořáčková, 2021. "A revised version of the Cathcart & El-Jahel model and its application to CDS market," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 669-705, December.
    7. Nunes, Luis Eduardo & Lima, Marcus Vinicius Andrade de & Davison, Matthew & Leite, André Luis da Silva, 2021. "Switch and defer option in renewable energy projects: Evidences from Brazil," Energy, Elsevier, vol. 231(C).
    8. José Balibrea-Iniesta, 2020. "Economic Analysis of Renewable Energy Regulation in France: A Case Study for Photovoltaic Plants Based on Real Options," Energies, MDPI, vol. 13(11), pages 1-19, June.
    9. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011.
    10. Mahmoud A. Eissa & Boping Tian, 2017. "Lobatto-Milstein Numerical Method in Application of Uncertainty Investment of Solar Power Projects," Energies, MDPI, vol. 10(1), pages 1-19, January.
    11. Sebastian Sund & Lars H. Sendstad & Jacco J. J. Thijssen, 2022. "Kalman filter approach to real options with active learning," Computational Management Science, Springer, vol. 19(3), pages 457-490, July.
    12. Masci, Martín Ezequiel, 2012. "Irreversibilidad e incertidumbre de las decisiones financieras en i&d [Irreversibility and uncertainty of the financial investments on r&d]," MPRA Paper 40970, University Library of Munich, Germany.
    13. Sarkar, Sudipto, 2021. "The uncertainty-investment relationship with endogenous capacity," Omega, Elsevier, vol. 98(C).
    14. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    15. Tyrone T. Lin & Shu-Yen Hsu & Chiao-Chen Chang, 2019. "Evaluation of Decision-Making for the Optimal Value of Sustainable Enterprise Development under Global 100 Index Thinking," Sustainability, MDPI, vol. 11(4), pages 1-21, February.
    16. Pryshchepa, Oksana & Aretz, Kevin & Banerjee, Shantanu, 2013. "Can investors restrict managerial behavior in distressed firms?," Journal of Corporate Finance, Elsevier, vol. 23(C), pages 222-239.
    17. Barbara Glensk & Reinhard Madlener, 2019. "Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support," Energies, MDPI, vol. 12(19), pages 1-25, September.
    18. Shih-Chuan Tsai, 2005. "Dynamic Models of Investment Distortions," Review of Quantitative Finance and Accounting, Springer, vol. 25(4), pages 357-381, December.
    19. repec:dau:papers:123456789/1046 is not listed on IDEAS
    20. Dimson, Elroy & Mussavian, Massoud, 1999. "Three centuries of asset pricing," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1745-1769, December.
    21. Ravi Kashyap, 2016. "Options as Silver Bullets: Valuation of Term Loans, Inventory Management, Emissions Trading and Insurance Risk Mitigation using Option Theory," Papers 1609.01274, arXiv.org, revised Mar 2022.

    More about this item

    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:taf:applec:v:49:y:2017:i:56:p:5662-5672. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.