PhD in ANALYTICS FOR ECONOMICS AND MANAGEMENT (AEM)
Methods and Models for Finance, Energy and Environment Research directions and opportunities
Finance, Energy and Environment
The research directions focus on problems of extreme relevance both in Italy and Europe • • • • • • • • •
Climate changes, Environmental policies and Emission Markets Renewable energy sources and Energy efficiency Decarbonization of the electricity sector Flexibility of energy systems and remuneration mechanisms of conventional plants Circular Economy Socially Responsible Investments (SRI) Investing in water systems Risk management and weather derivatives Simulation and bootstrapping methods
Finance, Energy and Environment
The problems tackled are also of main relevance for the society of tomorrow • Optimal and socially responsible investments in the energy and industrial sectors is required to establish a sustainable economy • To Combine optimally economic and environmental performances • To Guarantee the safety of energy systems, given the growing impact of renewable sources • To Integrate modern financial instruments in the management of forthcoming risk sources
Finance, Energy and Environment
The courses will provide new advanced skills useful to the analysis and the solution of problems • Developing equilibrium and optimization models • Analysing and modelling uncertainty • Applying methods of Stochastic programming, Data Envelopment Analysis Simulation and bootstrapping • Programming and applying optimization and and software packages • Building financial performance indices • Generating scenarios and simulate sophisticated models
Finance, Energy and Environment
Many alternatives are offered for studying abroad • Universidad Carlos III de Madrid (Spagna) • Universidad de Castilla-La Mancha (Spagna) • Université de Perpignan Via Domitia (Francia) • Université catholique de Louvain (Belgio) • University of Technology Sydney (Australia) • Macquarie University (Australia)
strong learning communities, inspiring inquiry and curiosity, and promoting deep learning. Improv becomes an antithesis to knee-jerk or negative responses to novel and unfamiliar ideas, allowing both learners and teachers to inquire and discuss freel
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