2013
DOI: 10.1061/(asce)co.1943-7862.0000636
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Real Option Approach to Sharing Privatization Risk in Underground Infrastructures

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Cited by 31 publications
(20 citation statements)
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“…For the period between 1999 and 2015, we found that this method has been applied to many cases and in many different fields, from the evaluation of construction projects (Barton & Lawryshyn, 2011;Ford et al, 2002;Garg & Kumar, 2014;Jiao et al, 2007;Oppenheimer, 2002;Parthasarathy & Madhumathi, 2010;Sewalk & Dai, 2014); investments in R&D (Kumaraswamy, 1996;Ming-Cheng & Yen, 2007), in particular those by pharmaceutical companies (Gunther McGrath and Nerkar, 2004;Hartmann & Assan, 2006); the evaluation of IT (information technology) projects (Benaroch, 2002;Fichman, 2004); insurance portfolio strategies; customer relationship management (Maklan et al, 2005); the management and evaluation of intagible assets (Bhattacharya & Wright, 2005, Faiferlick et al 2004, Park et al, 2013; and the assessment of bonds and derivatives (Driffill et al, 2013;Ericsson & Reneby, 2005;Fabozzi et al, 2012, Pyo, 2008Ren-Raw et al, 2002;Singh, 2014, Tompkins, 2001). …”
Section: Resultsmentioning
confidence: 99%
“…For the period between 1999 and 2015, we found that this method has been applied to many cases and in many different fields, from the evaluation of construction projects (Barton & Lawryshyn, 2011;Ford et al, 2002;Garg & Kumar, 2014;Jiao et al, 2007;Oppenheimer, 2002;Parthasarathy & Madhumathi, 2010;Sewalk & Dai, 2014); investments in R&D (Kumaraswamy, 1996;Ming-Cheng & Yen, 2007), in particular those by pharmaceutical companies (Gunther McGrath and Nerkar, 2004;Hartmann & Assan, 2006); the evaluation of IT (information technology) projects (Benaroch, 2002;Fichman, 2004); insurance portfolio strategies; customer relationship management (Maklan et al, 2005); the management and evaluation of intagible assets (Bhattacharya & Wright, 2005, Faiferlick et al 2004, Park et al, 2013; and the assessment of bonds and derivatives (Driffill et al, 2013;Ericsson & Reneby, 2005;Fabozzi et al, 2012, Pyo, 2008Ren-Raw et al, 2002;Singh, 2014, Tompkins, 2001). …”
Section: Resultsmentioning
confidence: 99%
“…In order to deal with excessive demand risks in infrastructure, managers can embody an option to expand in a contract and exercise it in the future when demand risk is low. Another problem is the evaluation of government guarantees in PPP projects (Alonso-Conde et al 2007;Ashuri et al 2012;Brandao and Saraiva 2008;Chiara et al 2007;Cui et al 2008;Galera and Soliño 2010;Liu et al 2013;Park et al 2013;Wibowo et al 2012). In these studies, guarantees were normally regarded as call or put options, in which the owner of the option has the right, but not the obligation, to buy or sell a particular underlying asset at a specific price in the future.…”
Section: Real Option Analysis In Ppp Projectsmentioning
confidence: 99%
“…The guaranteed values, e.g., minimum revenues, are designed based on ex ante cognition, such as financial viability analysis. The normal guarantees include minimum rate of return guarantee, minimum revenue guarantee (Ashuri et al 2012;Chiara et al 2007), maximum expense limit (Park et al 2013), minimum traffic guarantee (Brandao and Saraiva 2008;Galera and Soliño 2010), land-capping guarantee, full toll guarantee (Wibowo et al 2012), restrictive competition guarantee (Liu et al 2013), and so on. Using these guarantees and types of compensation, the government shares excessive risks with the private party so as to increase the participation of private investors in high-risk PPP projects.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In recent years, some scholars use Monte Carlo method and real options combined for developing the risk sharing mechanism and decision making in the public-private projects. Park et al (2012) used Monte Carlo method to analyse risk sharing measures and presented a real option-based contract model to make agreement on the value of the project. Zhao et al (2004) proposed a real options model to achieve decisionmaking optimality, which used the Monte Carlo simulation method to analysis the uncertainty.…”
Section: Introductionmentioning
confidence: 99%