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ETDs @PUC-Rio
Estatística
Título: PRICING OF GOVERMENT GARANTEES IN PPP USING REAL OPTIONS: BRAZILIAN HIGH SPEED RAIL CASE STUDY
Autor: LEANDRO DIMURO MONTEIRO
Colaborador(es): LUIZ EDUARDO TEIXEIRA BRANDAO - Orientador
Catalogação: 03/JUN/2015 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=24708&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=24708&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.24708
Resumo:
The pricing of government guarantees is an actual subject and it is solved with the usage of Real Options Theory. Usually, these minimum demand or revenue guarantees are modeled as PUTs where the concessionaire is long and the government is short and it is calculates its value added gain to the project. However, almost no discussions are made to the long term liabilities that these guarantees can bring to public finance. In this study we analyze the second bidding of the Rio – Sao Paulo High Speed Railway project, which with a total investment of 37 billion reais (18 billion dollars) was the largest PPP auction ever held in Brazil. We show that only the addition of government guarantees makes the project feasible and we price 12 different levels of guarantees. We use VaR and CVaR as tools to measure the liability risk that government is exposure as it short in these PUTs. In order to mitigate these risks, we add 10 levels of caps in order to limit the sum of the PUT values in the 40 years of the project. In the end, we created an objective function in order to define the best combination of minimum guarantees and government liability caps in order to maximize the value of the project value for the concessionaire and minimize the risk for the government. We believe that is the best combination for the society.
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