Alternative to Government Revenue Guarantees: Dynamic Revenue Insurance Contracts

被引:30
作者
Chiara, Nicola [1 ]
Kokkaew, Nakhon [2 ]
机构
[1] Columbia Univ, Dept Civil Engn, New York, NY 10027 USA
[2] Walailak Univ, Dept Civil Engn, Nakhon Si Thammarat 80160, Thailand
关键词
Financial factors; Monte Carlo method; Insurance; Risk management; Contracts; Partnerships; Private sector; Revenues; Project finance; Monte Carlo; Real options; Revenue risk; REAL OPTIONS; VALUATION; SIMULATION; MODELS;
D O I
10.1061/(ASCE)IS.1943-555X.0000145
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Public private partnerships (PPPs) are arrangements under which the private sector supplies infrastructure assets and services that traditionally have been provided by the public sector. Public authorities may enhance the marketability of PPP projects by offering revenue guarantees. However, government revenue guarantees can pose significant fiscal risks for the issuing government, particularly during economic crises. This paper presents a new type of revenue risk hedging contract, the dynamic (flexible) revenue insurance contract, which can be offered as an alternative to the conventional government guarantees. This new contract gives PPP stakeholders other than the government the opportunity to participate in the revenue risk coverage. Potential revenue risk insurers include international financial institutions, export credit agencies, and private insurance companies. The key feature of these new contracts is that they facilitate the pooling of project revenue insurers by accommodating insurer financial and risk preferences. These contracts are modeled as multiple exercise options and priced by using two different Monte Carlo methods, the multiple exercise boundary method and the multiple least-squares method. Because of its inherent flexibility, the dynamic revenue insurance contract offers risk coverage similar to the conventional revenue guarantee at much lower cost to the government. A numerical example on a build operate transfer toll road project shows the substantial cost reduction sustained by the government. (C) 2013 American Society of Civil Engineers.
引用
收藏
页码:287 / 296
页数:10
相关论文
共 25 条
[1]   Primal-dual simulation algorithm for pricing multidimensional American options [J].
Andersen, L ;
Broadie, M .
MANAGEMENT SCIENCE, 2004, 50 (09) :1222-1234
[2]  
[Anonymous], 2006, Value for money assessment guidance
[3]   The option value of government guarantees in infrastructure projects [J].
Brandao, Luiz Eduardo T. ;
Saraiva, Eduardo .
CONSTRUCTION MANAGEMENT AND ECONOMICS, 2008, 26 (11) :1171-1180
[4]  
Brealey R.A., 2003, PRINCIPLES CORPORATE, V7th
[5]   Option pricing: Valuation models and applications [J].
Broadie, M ;
Detemple, JB .
MANAGEMENT SCIENCE, 2004, 50 (09) :1145-1177
[6]   Valuing governmental support in infrastructure projects as real options using Monte Carlo simulation [J].
Cheah, Charles Y. J. ;
Liu, Jicai .
CONSTRUCTION MANAGEMENT AND ECONOMICS, 2006, 24 (05) :545-554
[7]   Valuing Simple Multiple-Exercise Real Options in Infrastructure Projects [J].
Chiara, Nicola ;
Garvin, Michael J. ;
Vecer, Jan .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2007, 13 (02) :97-104
[8]   Using real options for revenue risk mitigation in transportation project financing [J].
Chiara, Nicola ;
Garvin, Michael J. .
TRANSPORTATION RESEARCH RECORD, 2007, (1993) :1-8
[9]   Variance models for project financial risk analysis with applications to greenfield BOT highway projects [J].
Chiara, Nicola ;
Garvin, Michael J. .
CONSTRUCTION MANAGEMENT AND ECONOMICS, 2008, 26 (09) :925-939
[10]  
Dailami M., 1999, 2083 WORLD BANK