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Value Maximizing Decisions in the Real Estate Market: Real Options Valuation Approach

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  • Andrejs Čirjevskis

    (Business Department, RISEBA University of Applied Sciences, Meža Street 3, LV-1048 Riga, Latvia)

Abstract

The real estate market of EU countries has undergone a severe global financial crisis 2008–2009, recovered successfully later, and now experiencing significant uncertainty due to the COVID-19 pandemic event. Significant volatility of the real estate business is once again evident, just as it was following the global financial crisis. The paper aims to provide a case study of a real estate project by giving insight into the Latvian real estate project that had been experiencing similar economic uncertainty, to demonstrate hybrid real options valuation (ROV) method to adapt real estate investments to changing circumstances and to develop the decision-making solution to similar EU real estate problems during the pandemic. The paper provides the “step-by-step” ROV application’s methodology in real estate development projects. The presented methodology is a powerful managerial risk management tool for the executives of similar real estate development projects in the EU countries struggling to make investment decisions in the pandemic and post-pandemic period. Since any estimation includes assumptions, ROV results should be interpreted and perceived as approximations only. The future works can provide robust ROV analyses and interpretations regarding the demand for real estate, showing quantitatively how competition can impact strategic investment decisions.

Suggested Citation

  • Andrejs Čirjevskis, 2021. "Value Maximizing Decisions in the Real Estate Market: Real Options Valuation Approach," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:6:p:278-:d:577897
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    References listed on IDEAS

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    1. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
    2. Lander, Diane M. & Pinches, George E., 1998. "Challenges to the Practical Implementation of Modeling and Valuing Real Options," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(3, Part 2), pages 537-567.
    3. I-Cheng Yeh & Che-Hui Lien, 2020. "Evaluating real estate development project with Monte Carlo based binomial options pricing model," Applied Economics Letters, Taylor & Francis Journals, vol. 27(4), pages 307-324, February.
    4. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
    5. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    6. repec:dau:papers:123456789/1518 is not listed on IDEAS
    7. Rita Gunther McGrath & Atul Nerkar, 2004. "Real options reasoning and a new look at the R&D investment strategies of pharmaceutical firms," Strategic Management Journal, Wiley Blackwell, vol. 25(1), pages 1-21, January.
    8. Hirofumi SUTO & James ALLEMAN & Paul RAPPOPORT, 2008. "An Investment Criterion Incorporating Real Options," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(70), pages 45-66, 2nd quart.
    9. Hans-Gerd Ridder, 2017. "The theory contribution of case study research designs," Business Research, Springer;German Academic Association for Business Research, vol. 10(2), pages 281-305, October.
    10. Constantino, N. & d’Amato, M. & Pellegrino, R., 2009. "A Real Options And Fuzzy Delphi-Based Approach For Appraising The Effect Of An Urban Infrastructure On Surrounding Lands," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 3-16, November.
    11. Henri Philippe, 2005. "Real Options : Still looking for Evidence ? An overview," Post-Print halshs-00164790, HAL.
    12. Shiyuan Zheng & Rudy R. Negenborn, 2017. "Terminal investment timing decisions in a competitive setting with uncertainty using a real option approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(3), pages 392-411, April.
    13. 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.
    14. Alex Triantis & Adam Borison, 2001. "Real Options: State Of The Practice," Journal of Applied Corporate Finance, Morgan Stanley, vol. 14(2), pages 8-24, June.
    15. Lu, Zhaoyang & Meng, Qiang, 2017. "Analysis of optimal BOT highway capacity and economic toll adjustment provisions under traffic demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 17-37.
    16. Chowdhury, Reaz & Mahdy, M.R.C. & Alam, Tanisha Nourin & Al Quaderi, Golam Dastegir & Arifur Rahman, M., 2020. "Predicting the stock price of frontier markets using machine learning and modified Black–Scholes Option pricing model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
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    Cited by:

    1. Andrejs Čirjevskis, 2021. "Exploring Critical Success Factors of Competence-Based Synergy in Strategic Alliances: The Renault–Nissan–Mitsubishi Strategic Alliance," JRFM, MDPI, vol. 14(8), pages 1-22, August.
    2. Rita Yi Man Li, 2022. "Housing Real Estate Economics and Finance," JRFM, MDPI, vol. 15(3), pages 1-3, March.

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