Report NEP-UPT-2019-03-25
This is the archive for NEP-UPT, a report on new working papers in the area of Utility Models and Prospect Theory. Alexander Harin issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-UPT
The following items were announced in this report:
- Joshua Aurand & Yu-Jui Huang, 2019. "Epstein-Zin Utility Maximization on a Random Horizon," Papers 1903.08782, arXiv.org, revised May 2023.
- Koumou, Gilles Boevi & Dionne, Georges, 2019. "Coherent diversification measures in portfolio theory: An axiomatic foundation," Working Papers 19-2, HEC Montreal, Canada Research Chair in Risk Management.
- Hiroaki Hata & Shuenn-Jyi Sheu & Li-Hsien Sun, 2019. "Expected exponential utility maximization of insurers with a general diffusion factor model : The complete market case," Papers 1903.08957, arXiv.org.
- Thomas Greve & Fei Teng & Michael Pollitt & Goran Strbac, 2017. "A system operator's utility function for the frequency response market," Working Papers EPRG 1713, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Simone Manganelli, 2019. "Deciding with Judgment," Papers 1903.06980, arXiv.org.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2019. "Editorial Statement of Intent for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018," Documentos de Trabajo del ICAE 2019-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Ginés de Rus & Per-Olov Johansson, 2019. "Measuring the economic effects of transport improvements," Working Papers 2019-01, FEDEA.
- Dietzenbacher, Bas, 2019. "The Procedural Egalitarian Solution and Egalitarian Stable Games," Discussion Paper 2019-007, Tilburg University, Center for Economic Research.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2019. "Research Ideas for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018," Documentos de Trabajo del ICAE 2019-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Adams-Prassl, Abigail, 2019. "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers 13580, C.E.P.R. Discussion Papers.
- Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2019. "The Total Risk Premium Puzzle," NBER Working Papers 25653, National Bureau of Economic Research, Inc.
- Gauthier de Maere d'Aertrycke & Andreas Ehrenmann & Daniel Ralph & Yves Smeers, 2018. "Risk trading in capacity equilibrium models," Working Papers EPRG 1720, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Irenaeus Wolff, 2019. "Lucky Numbers in Simple Games," TWI Research Paper Series 115, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
- Huy N. Chau & Miklos Rasonyi, 2019. "Behavioural investors in conic market models," Papers 1903.08156, arXiv.org.
- Löfgren, Åsa & Nordblom, Katarina, 2019. "A theoretical framework explaining the mechanisms of nudging," Working Papers in Economics 754, University of Gothenburg, Department of Economics.
- Mario R. Pascoa & Abdelkrim Seghir, 2019. "No-trade and Refined Equilibria for Secured Loans in Infinite Horizon," School of Economics Discussion Papers 0919, School of Economics, University of Surrey.
- Klemperer, Paul & Baldwin, Elizabeth, 2019. "Understanding Preferences: "Demand Types", and the Existence of Equilibrium with Indivisibilities," CEPR Discussion Papers 13586, C.E.P.R. Discussion Papers.
- Edilio Valentini & Paolo Vitale, 2019. "Uncertainty and Risk-aversion in a Dynamic Oligopoly with Sticky Prices," Working Papers 2019.03, Fondazione Eni Enrico Mattei.
- Booth, Alison L. & Lee, Jungmin, 2019. "Girls' and Boys' Performance in Competitions: What We Can Learn from a Korean Quiz Show," IZA Discussion Papers 12182, Institute of Labor Economics (IZA).
- Masoud Fekri & Babak Barazandeh, 2019. "Designing an Optimal Portfolio for Iran's Stock Market with Genetic Algorithm using Neural Network Prediction of Risk and Return Stocks," Papers 1903.06632, arXiv.org.