Pessimistic Optimal Choice for Risk-Averse Agents: The Continuous-Time Limit
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DOI: 10.1007/s10614-015-9547-y
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Cited by:
- Edilio Valentini & Paolo Vitale, 2022. "A Dynamic Oligopoly with Price Stickiness and Risk-Averse Agents," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(3), pages 697-718, November.
- Edilio Valentini & Paolo Vitale, 2019.
"Optimal Climate Policy for a Pessimistic Social Planner,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 411-443, February.
- Edilio Valentini & Paolo Vitale, 2014. "Optimal Climate Policy for a Pessimistic Social Planner," Working Papers 2014.33, Fondazione Eni Enrico Mattei.
- Valentini, Edilio & Vitale, Paolo, 2014. "Optimal Climate Policy for a Pessimistic Social Planner," Climate Change and Sustainable Development 166409, Fondazione Eni Enrico Mattei (FEEM).
- Valentini, Edilio & Vitale, Paolo, 2019.
"Uncertainty and Risk-aversion in a Dynamic Oligopoly with Sticky Prices,"
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285025, Fondazione Eni Enrico Mattei (FEEM).
- Edilio Valentini & Paolo Vitale, 2019. "Uncertainty and Risk-aversion in a Dynamic Oligopoly with Sticky Prices," Working Papers 2019.03, Fondazione Eni Enrico Mattei.
- Vitale, Paolo, 2018. "Optimal monetary policy for a pessimistic central bank," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 39-59.
- Vitale, Paolo, 2018. "Robust trading for ambiguity-averse insiders," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 113-130.
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More about this item
Keywords
Pessimistic agents; Time-discounting; Linear exponential quadratic Gaussian;All these keywords.
JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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