PUC-Rio Business School offers Academic and Professional Masters programs in Business Administration. In these programs the following courses in the area of Energy and Infrastructure are offered:
Recent decades advances in financial theory to asset valuation and risk management have profoundly altered the way of valuing investments and manage project risks. In many situations where the company performs an irreversible investment in an environment with high degree of uncertainty, there may be a degree of managerial flexibility that gives the company the option to modify or change in any way a project during its life time. A thermal power plant, for example, gives the company an option but not an obligation to produce electricity. Learn modeling this flexibility is important to be able to estimate the plant value.
This flexibility, or real option, can significantly increase the value of the project when is considered the adjustments that can be made on the project in light of new market information, but this value is not captured by traditional methods of cash flow. In this course we will see how this method can be used in practice evolving from the traditional model of static cash flow to a dynamic model that incorporates the project uncertainty and how to value managerial flexibility by leveraging the strategic position of the company. Furthermore, we show how the uncertainty and flexibility can be used to extract advantages and limit losses.
Summary: Project Evaluation. Static and dynamic models of evaluation. Managerial Flexibility. Financial Options and Real Options. Modeling Flexibility. Determining Market Values. Stochastic Processes. Models of Real Options. Monte Carlo Simulation. Modeling and Applications.
Organization, technology and environmental issues related to the energy industry have presented several changes in global and national level, such as privatization, creation of energy markets, improvement of regulatory issues, evolution on oil extraction and generation electricity technology, and enhancement of carbon credit markets and technical certification. Facing the evolution and greater complexity assumed by energy business, the study of identification instruments, projection and decision presents itself as indispensable to administrators, allowing a broader understanding of the dynamics of economic and financial decisions in energy companies or clients and suppliers in this industry.
In this context, this course covers the energy industry organization in its different segments (oil and gas, electricity and biofuels) and presents the main aspects of rules and regulation in Brazil. Studied the industry organization and regulation, then turns to concepts application, techniques and financial methodologies through exercises and case studies.
Summary: Project Evaluation. Static and dynamic models of evaluation. Assessment Methods and Relevant Cash Flow. Cost of Capital. Evaluation of environment uncertainty. Monte Carlo Simulation. Business Evaluation. Modeling Managerial Flexibility. Determining Market Values. Introduction to Stochastic Processes and Real Options. Application of Real Options Theory in the evaluation of projects and companies. Applications.
The PUC-Rio Business School´s Doctoral program has CAPES concept 5 and has a permanent teaching staff of 26 full time and 50 part time faculty. The Energy and Infrastructure research tracks offer two specific courses:
Recent decades advances in financial theory to asset valuation and risk management have profoundly altered the way of valuing investments and manage project risks. In many situations where the company performs an irreversible investment in an environment with high degree of uncertainty, there may be a degree of managerial flexibility that gives the company the option to modify or change in any way a project during its life time. A thermal power plant, for example, gives the company an option but not an obligation to produce electricity. Learn modeling this flexibility is important to be able to estimate the plant value.
This flexibility, or real option, can significantly increase the value of the project when is considered the adjustments that can be made on the project in light of new market information, but this value is not captured by traditional methods of cash flow. In this course we will see how this method can be used in practice evolving from the traditional model of static cash flow to a dynamic model that incorporates the project uncertainty and how to value managerial flexibility by leveraging the strategic position of the company. Furthermore, we show how the uncertainty and flexibility can be used to extract advantages and limit losses.
Summary: Project Evaluation. Static and dynamic models of evaluation. Managerial Flexibility. Financial Options and Real Options. Modeling Flexibility. Determining Market Values. Stochastic Processes. Models of Real Options. Monte Carlo Simulation. Modeling and Applications.
Organization, technology and environmental issues related to the energy industry have presented several changes in global and national level, such as privatization, creation of energy markets, improvement of regulatory issues, evolution on oil extraction and generation electricity technology, and enhancement of carbon credit markets and technical certification. Facing the evolution and greater complexity assumed by energy business, the study of identification instruments, projection and decision presents itself as indispensable to administrators, allowing a broader understanding of the dynamics of economic and financial decisions in energy companies or clients and suppliers in this industry.
In this context, this course covers the energy industry organization in its different segments (oil and gas, electricity and biofuels) and presents the main aspects of rules and regulation in Brazil. Studied the industry organization and regulation, then turns to concepts application, techniques and financial methodologies through exercises and case studies.
Summary: Project Evaluation. Static and dynamic models of evaluation. Assessment Methods and Relevant Cash Flow. Cost of Capital. Evaluation of environment uncertainty. Monte Carlo Simulation. Business Evaluation. Modeling Managerial Flexibility. Determining Market Values. Introduction to Stochastic Processes and Real Options. Application of Real Options Theory in the evaluation of projects and companies. Applications.