2016
DOI: 10.1080/03088839.2016.1274832
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Terminal investment timing decisions in a competitive setting with uncertainty using a real option approach

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Cited by 26 publications
(11 citation statements)
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“…Dehghan-Eshratabad and Albadvi (2018) used the numerical method of Monte Carlo least squares simulation to determine the percentage of the start-up's ownership of the entrepreneur and venture capitalist based on the results of the simulation. What is more, Zheng and Negenborn (2017) applied the simulation for a Chinese steel cargo terminal investment decision in a competitive setting with uncertainty. Zheng and Negenborn (2017) proposed a least squares Monte Carlo simulation algorithm to find the investing probabilities in the maritime terminal for future years.…”
Section: Towards a Real Option Approach To Estimate An Manda Deal's Synergiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Dehghan-Eshratabad and Albadvi (2018) used the numerical method of Monte Carlo least squares simulation to determine the percentage of the start-up's ownership of the entrepreneur and venture capitalist based on the results of the simulation. What is more, Zheng and Negenborn (2017) applied the simulation for a Chinese steel cargo terminal investment decision in a competitive setting with uncertainty. Zheng and Negenborn (2017) proposed a least squares Monte Carlo simulation algorithm to find the investing probabilities in the maritime terminal for future years.…”
Section: Towards a Real Option Approach To Estimate An Manda Deal's Synergiesmentioning
confidence: 99%
“…What is more, Zheng and Negenborn (2017) applied the simulation for a Chinese steel cargo terminal investment decision in a competitive setting with uncertainty. Zheng and Negenborn (2017) proposed a least squares Monte Carlo simulation algorithm to find the investing probabilities in the maritime terminal for future years.…”
Section: Towards a Real Option Approach To Estimate An Manda Deal's Synergiesmentioning
confidence: 99%
“…This simulation method has been recently applied by Dehghan-Eshratabad and Albadvi (2018) to value start-ups by venture capitalists in the first round of financing. Zheng and Negenborn (2017) applied the simulation for a Chinese steel cargo terminal investment decision in a competitive setting with uncertainty. Thus, least squares Monte Carlo simulation-based real options (Longstaff and Schwartz 2001) can overcome some limitations of traditional ROV approaches.…”
Section: Conclusion Limitations and Future Workmentioning
confidence: 99%
“…Concerning this issue, it is important to underline that while in other sectors, social innovation (Volberda, 2014) represents the majority of successful innovationsuch as in most manufacturing sectors -, barriers to collaboration in the port industry make technology-related innovation a predominant element. Thus, current literature often focuses more on the assessment of investments (Zheng and Negenborn, 2017) linked to upgraded facilities capable of improving environmental performance (Cui, 2017) or port congestion (Jian et al, 2017) rather than on the evaluation of innovative processes.…”
Section: Innovation Within the Port Sectormentioning
confidence: 99%