IDEAS home Printed from https://ideas.repec.org/f/pgu452.html
   My authors  Follow this author

Eric Guerci

Personal Details

First Name:Eric
Middle Name:
Last Name:Guerci
Suffix:
RePEc Short-ID:pgu452
[This author has chosen not to make the email address public]

Affiliation

Groupe de REcherche en Droit, Économie, Gestion (GREDEG)
École Universitaire de Recherche d'Économie et de Management (ELMI)
Université Côte d'Azur

Nice, France
https://gredeg.univ-cotedazur.fr/
RePEc:edi:credcfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Anna Bottasso & Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles Noussair, 2022. "Higher order risk attitudes of financial experts," Post-Print hal-03664148, HAL.
  2. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2021. "The Triple-Store Experiment: A First Simultaneous Test of Classical and Quantum Probabilities in Choice over Menus," GREDEG Working Papers 2021-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  3. Sara Bevilacqua & Célia da Costa Pereira & Eric Guerci & Frédéric Precioso & Claudio Sartori, 2019. "Analysing the Impact of Rationality on the Italian Electricity Market," Post-Print halshs-02348101, HAL.
  4. Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles N. Noussair, 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Post-Print hal-02278885, HAL.
  5. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Ariane Lambert-Mogiliansky & Fabien Mathy, 2019. "A dual-process memory account of how to make an evaluation from complex and complete information," Post-Print hal-02346005, HAL.
  6. Eric Guerci & Nobuyuki Hanaki & Mauro Napoletano, 2019. "Introduction to special issue on “Complex evolving system approach to market dynamics and policy design”," Post-Print hal-02299231, HAL.
  7. Imen Bouhlel & Michela Chessa & Agnès Festré & Eric Guerci, 2019. "When to Stop? A Theoretical and Experimental Investigation of an Individual Search Task," GREDEG Working Papers 2019-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  8. Sébastien Duchêne & Eric Guerci, 2018. "Financial market professionals’ higher order risk attitudes," Post-Print halshs-02103554, HAL.
  9. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
  10. Gabriele Cardullo & Eric Guerci, 2018. "Interpreting the Beveridge curve: an agent-based approach," Post-Print halshs-01929041, HAL.
  11. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Ariane Lambert-Mogiliansky & Fabien Mathy, 2016. "A Dual Process in Memory: How to Make an Evaluation from Complex and Complete Information? An Experimental Study," GREDEG Working Papers 2016-23, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Jan 2018.
  12. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Quantum-like Models Cannot Account for the Conjunction Fallacy," GREDEG Working Papers 2015-41, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  13. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  14. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Testing Quantum-like Models of Judgment for Question Order Effects," GREDEG Working Papers 2015-06, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  15. Sébastien Duchêne & Thomas Boyer-Kassem & Eric Guerci, 2015. "Une nouvelle approche expérimentale pour tester les modèles quantiques de l'erreur de conjonction," GREDEG Working Papers 2015-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Oct 2015.
  16. Eric Guerci & Alan Kirman & Sonia Moulet, 2014. "Learning to bid in sequential Dutch Auctions," Post-Print halshs-01069634, HAL.
  17. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Post-Print halshs-01061445, HAL.
  18. Eric Guerci & Fulvio Fontini, 2013. "The impact of the introduction of nuclear power on electricity prices in a power exchange-based liberalised market," Post-Print halshs-00925259, HAL.
  19. Eric Guerci & Alan Kirman & Sonia Moulet, 2013. "An agent-based model for sequential Dutch auctions," Post-Print halshs-00871095, HAL.
  20. Eric Guerci & Nobuyuki Hanaki, 2012. "Learning Agent and agent-based modeling," Post-Print halshs-00871060, HAL.
  21. Eric Guerci & Fulvio Fontini, 2012. "The Italian Electricity Prices in Year 2025: an Agent-Based Simulation," "Marco Fanno" Working Papers 0130, Dipartimento di Scienze Economiche "Marco Fanno".
  22. Eric Guerci & Alessandro Sapio, 2012. "High wind penetration in an agent-based model of the electricity market," Post-Print halshs-00871036, HAL.
  23. Eric Guerci & Mohammad Ali Rastegar, 2012. "Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario," Post-Print halshs-00871081, HAL.
  24. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2011. "A Note on a Weighted Voting Experiment: Human Mistakes in Cooperative Games," Working Papers halshs-00645867, HAL.
  25. Eric Guerci & Sylvie Thoron, 2011. "Experimental comparison of compulsory and non compulsory arbitration mechanisms," Working Papers halshs-00584328, HAL.
  26. Eric Guerci & Alessandro Sapio, 2011. "Comparison and empirical validaton of optimizing and agent-based models of the Italian electricity market," Post-Print halshs-00871126, HAL.
  27. Gabriele Esposito & Eric Guerci & Nobuyuki Hanaki & Xiaoyan Lu & Naoki Watanabe, 2010. "An experimental study on learning about voting powers," Working Papers halshs-00501840, HAL.
  28. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2010. "Agent-based modeling and simulation of competitive wholesale electricity markets," Post-Print halshs-00871063, HAL.
  29. Eric Guerci & Mohammed Ali Rastegar, 2009. "The role of information in multi-agent learning," Working Papers halshs-00449536, HAL.
  30. Mohammad Ali Rastegar & Eric Guerci & Silvano Cincotti, 2009. "Agent-based model of the Italian wholesale electricity market," Post-Print halshs-00871127, HAL.
  31. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2009. "Operator's bidding strategies in the liberalized Italian power market," Post-Print halshs-00871077, HAL.
  32. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti & Federico Delfino & Renato Procopio & Marco Ruga, 2008. "Supply-side gaming on electricity markets with physical constrained transmission network," Post-Print halshs-00871130, HAL.
  33. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Post-Print halshs-00871014, HAL.
  34. Eric Guerci & Stefano Ivaldi & Marco Raberto & Silvano Cincotti, 2007. "Learning Oligopolistic Competition In Electricty Auctions," Post-Print halshs-00871017, HAL.
  35. Eric Guerci & Stefano Ivaldi & Marco Raberto & Silvano Cincotti, 2006. "Duopolistic competition in an electricity markets with heterogeneous cost functions," Computing in Economics and Finance 2006 412, Society for Computational Economics.
  36. Enrico Scalas & Mauro Gallegati & Eric Guerci & David Mas & Alessandra Tedeschi, 2006. "Growth and Allocation of Resources in Economics: The Agent-Based Approach," Papers physics/0608221, arXiv.org.
  37. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.
  38. Eric Guerci & Stefano Ivaldi & Stefano Pastore & Silvano Cincotti, 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Post-Print halshs-00871023, HAL.

    repec:lam:wpceem:18-18 is not listed on IDEAS
    repec:lam:wpceem:18-25 is not listed on IDEAS

Articles

  1. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2022. "The triple-store experiment: a first simultaneous test of classical and quantum probabilities in choice over menus," Theory and Decision, Springer, vol. 92(2), pages 387-406, March.
  2. Cardullo, Gabriele & Guerci, Eric, 2019. "Interpreting the Beveridge curve. An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 84-100.
  3. Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
  4. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Ariane Lambert-Mogiliansky & Fabien Mathy, 2019. "A Dual-Process Memory Account of How to Make an Evaluation from Complex and Complete Information," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1079-1093.
  5. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 1-7, April.
  6. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2017. "Meaningful learning in weighted voting games: an experiment," Theory and Decision, Springer, vol. 83(1), pages 131-153, June.
  7. Sébastien Duchêne & Thomas Boyer-Kassem & Eric Guerci, 2017. "Une nouvelle approche expérimentale pour tester les modèles quantiques de l’erreur de conjonction," Revue économique, Presses de Sciences-Po, vol. 68(5), pages 757-771.
  8. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
  9. Boyer-Kassem, Thomas & Duchêne, Sébastien & Guerci, Eric, 2016. "Testing quantum-like models of judgment for question order effect," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 33-46.
  10. Guerci, E. & Kirman, A. & Moulet, S., 2014. "Learning to bid in sequential Dutch auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 374-393.
  11. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 827-850, December.
  12. Eric Guerci & Alessandro Sapio, 2012. "High wind Penetration in an Agent-Based Model of the Electricity Market. The Case of Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 415-447.
  13. Eric Guerci & Alessandro Sapio, 2012. "Reply to Comments," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 88-90.
  14. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
  15. Scalas, Enrico & Gallegati, Mauro & Guerci, Eric & Mas, David & Tedeschi, Alessandra, 2006. "Growth and allocation of resources in economics: The agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 86-90.
  16. Guerci, E. & Ivaldi, S. & Pastore, S. & Cincotti, S., 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 69-76.

Chapters

  1. Eric Guerci & Mohammad Ali Rastegar, 2012. "Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 141-153, Springer.
  2. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2009. "Operator’s Bidding Strategies in the Liberalized Italian Power Market," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 53-66, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Anna Bottasso & Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles Noussair, 2022. "Higher order risk attitudes of financial experts," Post-Print hal-03664148, HAL.

    Cited by:

    1. Tatarnikova, Olga & Duchêne, Sébastien & Sentis, Patrick & Willinger, Marc, 2023. "Portfolio instability and socially responsible investment: Experiments with financial professionals and students," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    2. Sébastien Duchêne & Adrien Nguyen-Huu & Dimitri Dubois & Marc Willinger, 2021. "Why finance professionals hold green and brown assets? A lab-in-the-field experiment [Pourquoi investir dans le vert et le brun ? Une expérience sur des professionnels de la finance]," Working Papers hal-03285376, HAL.

  2. Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles N. Noussair, 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Post-Print hal-02278885, HAL.

    Cited by:

    1. Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
    2. Füllbrunn, Sascha & Neugebauer, Tibor, 2022. "Testing market regulations in experimental asset markets – The case of margin purchases," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1160-1183.

  3. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.

    Cited by:

    1. Michael Heinrich Baumann & Michaela Baumann & Lars Grüne & Bernhard Herz, 2023. "Market Structure and Instability Artifacts in Heterogeneous Agent Models: Lessons from Implicit Discretizations of Stiff Equations," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 855-890, October.

  4. Gabriele Cardullo & Eric Guerci, 2018. "Interpreting the Beveridge curve: an agent-based approach," Post-Print halshs-01929041, HAL.

    Cited by:

    1. Eric Guerci & Nobuyuki Hanaki & Mauro Napoletano, 2019. "Introduction to special issue on “Complex evolving system approach to market dynamics and policy design”," Post-Print hal-02299231, HAL.
    2. Andrea Otero-Cortés & Alexander Villegas Mendoza & Oriana Álvarez Vos & Karina Acosta, 2023. "Caracterización de la oferta y demanda de trabajo en la Región Caribe," Documentos de trabajo sobre Economía Regional y Urbana 318, Banco de la Republica de Colombia.

  5. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Quantum-like Models Cannot Account for the Conjunction Fallacy," GREDEG Working Papers 2015-41, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    Cited by:

    1. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2021. "The Triple-Store Experiment: A First Simultaneous Test of Classical and Quantum Probabilities in Choice over Menus," GREDEG Working Papers 2021-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Basieva, Irina & Khrennikova, Polina & Pothos, Emmanuel M. & Asano, Masanari & Khrennikov, Andrei, 2018. "Quantum-like model of subjective expected utility," Journal of Mathematical Economics, Elsevier, vol. 78(C), pages 150-162.

  6. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    Cited by:

    1. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 827-850, December.
    3. Matthias Weber, 2014. "Choosing Voting Systems behind the Veil of Ignorance: A Two-Tier Voting Experiment," Tinbergen Institute Discussion Papers 14-042/I, Tinbergen Institute.
    4. Nicola Maaser & Fabian Paetzel & Stefan Traub, 2022. "Gender and Nominal Power in Multilateral Bargaining," Games, MDPI, vol. 13(1), pages 1-25, January.
    5. Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.

  7. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Testing Quantum-like Models of Judgment for Question Order Effects," GREDEG Working Papers 2015-06, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    Cited by:

    1. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2021. "The Triple-Store Experiment: A First Simultaneous Test of Classical and Quantum Probabilities in Choice over Menus," GREDEG Working Papers 2021-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Post-Print hal-01380684, HAL.

  8. Eric Guerci & Alan Kirman & Sonia Moulet, 2014. "Learning to bid in sequential Dutch Auctions," Post-Print halshs-01069634, HAL.

    Cited by:

    1. Fuqiang Lu & Yanli Hu & Hualing Bi & Min Huang & Meng Zhao, 2018. "An Auction Approach for Cost and Schedule Management of IT Outsourcing Project," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(05), pages 1-23, October.
    2. Li, Zhen & Yue, Jinfeng & Kuo, Ching-Chung, 2018. "Design of discrete Dutch auctions with consideration of time," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1159-1171.
    3. Karthik Kannan & Vandith Pamuru & Yaroslav Rosokha, 2023. "Analyzing Frictions in Generalized Second-Price Auction Markets," Information Systems Research, INFORMS, vol. 34(4), pages 1437-1454, December.
    4. Paul Pezanis-Christou & Hang Wu, 2018. "A non-game-theoretic approach to bidding in first-price and all-pay auctions," School of Economics and Public Policy Working Papers 2018-12, University of Adelaide, School of Economics and Public Policy.

  9. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Post-Print halshs-01061445, HAL.

    Cited by:

    1. Michela Chessa & Nobuyuki Hanaki & Aymeric Lardon & Takashi Yamada, 2022. "The effect of choosing a proposer through a bidding procedure in implementing the Shapley value," Post-Print hal-03907377, HAL.
    2. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Chessa, Michela & Hanaki, Nobuyuki & Lardon, Aymeric & Yamada, Takashi, 2023. "An experiment on the Nash program: A comparison of two strategic mechanisms implementing the Shapley value," Games and Economic Behavior, Elsevier, vol. 141(C), pages 88-104.
    4. Michela Chessa & Nobuyuki Hanaki & Aymeric Lardon & Takashi Yamada, 2021. "An Experiment on the Nash Program: Comparing two Mechanisms Implementing the Shapley Value," GREDEG Working Papers 2021-07, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Nicola Maaser & Fabian Paetzel & Stefan Traub, 2022. "Gender and Nominal Power in Multilateral Bargaining," Games, MDPI, vol. 13(1), pages 1-25, January.
    6. Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.
    7. Yoshio Kamijo & Yoichi Hizen & Tatsuyoshi Saijo & Teruyuki Tamura, 2018. "Voting on behalf of a future generation: A laboratory experiment," Working Papers SDES-2018-2, Kochi University of Technology, School of Economics and Management, revised Jun 2018.

  10. Eric Guerci & Fulvio Fontini, 2013. "The impact of the introduction of nuclear power on electricity prices in a power exchange-based liberalised market," Post-Print halshs-00925259, HAL.

    Cited by:

    1. Vincenzo Bianco, 2018. "The Future of the Italian Electricity Generation Sector. An Analysis of the Possible Strategic Models," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(3), pages 20-28.

  11. Eric Guerci & Alessandro Sapio, 2012. "High wind penetration in an agent-based model of the electricity market," Post-Print halshs-00871036, HAL.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. James Wesley Burnett & Xueting Zhao, 2017. "Spatially Explicit Prediction of Wholesale Electricity Prices," International Regional Science Review, , vol. 40(2), pages 99-140, March.
    3. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    4. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    5. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    6. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    7. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," Post-Print hal-01053562, HAL.
    8. De Siano, Rita & Sapio, Alessandro, 2022. "Spatial merit order effects of renewables in the Italian power exchange," Energy Economics, Elsevier, vol. 108(C).
    9. Sapio, Alessandro, 2015. "The effects of renewables in space and time: A regime switching model of the Italian power price," Energy Policy, Elsevier, vol. 85(C), pages 487-499.
    10. Sirin, Selahattin Murat & Yilmaz, Berna N., 2020. "Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect," Energy Policy, Elsevier, vol. 144(C).
    11. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  12. Eric Guerci & Mohammad Ali Rastegar, 2012. "Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario," Post-Print halshs-00871081, HAL.

    Cited by:

    1. Wang, Yi & Yang, Zhifang & Yu, Juan & Liu, Junyong, 2023. "An optimization-based partial marginal pricing method to reduce excessive consumer payment in electricity markets," Applied Energy, Elsevier, vol. 352(C).

  13. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2011. "A Note on a Weighted Voting Experiment: Human Mistakes in Cooperative Games," Working Papers halshs-00645867, HAL.

    Cited by:

    1. Matthias Weber, 2014. "Choosing Voting Systems behind the Veil of Ignorance: A Two-Tier Voting Experiment," Tinbergen Institute Discussion Papers 14-042/I, Tinbergen Institute.

  14. Eric Guerci & Alessandro Sapio, 2011. "Comparison and empirical validaton of optimizing and agent-based models of the Italian electricity market," Post-Print halshs-00871126, HAL.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," SciencePo Working papers Main hal-03461120, HAL.
    3. Miguel Pérez de Arce and Enzo Sauma, 2016. "Comparison of Incentive Policies for Renewable Energy in an Oligopolistic Market with Price-Responsive Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

  15. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2010. "Agent-based modeling and simulation of competitive wholesale electricity markets," Post-Print halshs-00871063, HAL.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Kraan, Oscar & Kramer, Gert Jan & Nikolic, Igor & Chappin, Emile & Koning, Vinzenz, 2019. "Why fully liberalised electricity markets will fail to meet deep decarbonisation targets even with strong carbon pricing," Energy Policy, Elsevier, vol. 131(C), pages 99-110.
    3. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    4. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," SciencePo Working papers Main hal-03461120, HAL.
    5. Alexopoulos, Thomas A., 2017. "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, vol. 137(C), pages 219-233.
    6. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    7. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    8. João Soares & Tiago Pinto & Fernando Lezama & Hugo Morais, 2018. "Survey on Complex Optimization and Simulation for the New Power Systems Paradigm," Complexity, Hindawi, vol. 2018, pages 1-32, August.
    9. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    10. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    11. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    12. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    13. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    14. Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2021. "Advanced price forecasting in agent-based electricity market simulation," Applied Energy, Elsevier, vol. 290(C).
    15. G P Girish & Aviral Kumar Tiwari, 2016. "A comparison of different univariate forecasting models forSpot Electricity Price in India," Economics Bulletin, AccessEcon, vol. 36(2), pages 1039-1057.
    16. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
    17. Loutfi, Ahmad Amine & Sun, Mengtao & Loutfi, Ijlal & Solibakke, Per Bjarte, 2022. "Empirical study of day-ahead electricity spot-price forecasting: Insights into a novel loss function for training neural networks," Applied Energy, Elsevier, vol. 319(C).
    18. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
    19. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    20. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    21. Kraan, O. & Kramer, G.J. & Nikolic, I., 2018. "Investment in the future electricity system - An agent-based modelling approach," Energy, Elsevier, vol. 151(C), pages 569-580.

  16. Mohammad Ali Rastegar & Eric Guerci & Silvano Cincotti, 2009. "Agent-based model of the Italian wholesale electricity market," Post-Print halshs-00871127, HAL.

    Cited by:

    1. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," SciencePo Working papers Main hal-03461120, HAL.
    2. Mureddu, Mario & Meyer-Ortmanns, Hildegard, 2018. "Extreme prices in electricity balancing markets from an approach of statistical physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1324-1334.
    3. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    4. Mario Mureddu & Hildegard Meyer-Ortmanns, 2016. "Extreme prices in electricity balancing markets from an approach of statistical physics," Papers 1612.05525, arXiv.org.
    5. Andrea Cervone & Ezio Santini & Sabrina Teodori & Donatella Zaccagnini Romito, 2014. "Electricity Price Forecast: a Comparison of Different Models to Evaluate the Single National Price in the Italian Energy Exchange Market," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 744-758.

  17. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Post-Print halshs-00871014, HAL.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Brorsen B. Wade & Fain James R. & Maples Joshua G., 2018. "Alternative Policy Responses to Increased Use of Formula Pricing," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-11, January.
    3. Christopher Boyer & B. Brorsen, 2014. "Implications of a Reserve Price in an Agent-Based Common-Value Auction," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 33-51, January.
    4. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    5. Shittu, Ekundayo & Kamdem, Bruno G. & Weigelt, Carmen, 2019. "Heterogeneities in energy technological learning: Evidence from the U.S. electricity industry," Energy Policy, Elsevier, vol. 132(C), pages 1034-1049.

  18. Eric Guerci & Stefano Ivaldi & Marco Raberto & Silvano Cincotti, 2007. "Learning Oligopolistic Competition In Electricty Auctions," Post-Print halshs-00871017, HAL.

    Cited by:

    1. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.

  19. Enrico Scalas & Mauro Gallegati & Eric Guerci & David Mas & Alessandra Tedeschi, 2006. "Growth and Allocation of Resources in Economics: The Agent-Based Approach," Papers physics/0608221, arXiv.org.

    Cited by:

    1. Pavel Exner & Petr v{S}eba, 2007. "A Markov process associated with plot-size distribution in Czech Land Registry and its number-theoretic properties," Papers 0711.1836, arXiv.org, revised Dec 2007.
    2. Carmen Pellicer-Lostao & Ricardo Lopez-Ruiz, 2011. "Application of Chaotic Number Generators in Econophysics," Papers 1110.4506, arXiv.org, revised Oct 2011.
    3. Einar Jón Erlingsson & Simone Alfarano & Marco Raberto & Hlynur Stefánssonn, 2012. "On the distributional properties of size, profit and growth of Icelandic firms," Working Papers 2012/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Angle, John, 2011. "The particle system model of income and wealth more likely to imply an analogue of thermodynamics in social science," MPRA Paper 28864, University Library of Munich, Germany.

  20. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.

    Cited by:

    1. Davies, G.J. & Kendall, G. & Soane, Emma & Li, J. & Rocks, S.A. & Jude, S.R. & Pollard, S.J.T., 2014. "Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk," LSE Research Online Documents on Economics 51229, London School of Economics and Political Science, LSE Library.
    2. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.

  21. Eric Guerci & Stefano Ivaldi & Stefano Pastore & Silvano Cincotti, 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Post-Print halshs-00871023, HAL.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Sandro Sapio, 2006. "An Empirically Based Model of the Supply Schedule in Day-Ahead Electricity Markets," LEM Papers Series 2006/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Liu, Beibei & He, Pan & Zhang, Bing & Bi, Jun, 2012. "Impacts of alternative allowance allocation methods under a cap-and-trade program in power sector," Energy Policy, Elsevier, vol. 47(C), pages 405-415.
    4. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    5. Sarıca, Kemal & Kumbaroğlu, Gürkan & Or, Ilhan, 2012. "Modeling and analysis of a decentralized electricity market: An integrated simulation/optimization approach," Energy, Elsevier, vol. 44(1), pages 830-852.
    6. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.
    7. Yong Liu & Fei Li & Yunpeng Su, 2019. "Critical Factors Influencing the Evolution of Companies’ Environmental Behavior: An Agent-Based Computational Economic Approach," SAGE Open, , vol. 9(1), pages 21582440198, February.
    8. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.

Articles

  1. Cardullo, Gabriele & Guerci, Eric, 2019. "Interpreting the Beveridge curve. An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 84-100.
    See citations under working paper version above.
  2. Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    See citations under working paper version above.
  3. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 1-7, April.
    See citations under working paper version above.
  4. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2017. "Meaningful learning in weighted voting games: an experiment," Theory and Decision, Springer, vol. 83(1), pages 131-153, June.
    See citations under working paper version above.
  5. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
    See citations under working paper version above.
  6. Boyer-Kassem, Thomas & Duchêne, Sébastien & Guerci, Eric, 2016. "Testing quantum-like models of judgment for question order effect," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 33-46.
    See citations under working paper version above.
  7. Guerci, E. & Kirman, A. & Moulet, S., 2014. "Learning to bid in sequential Dutch auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 374-393.
    See citations under working paper version above.
  8. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 827-850, December.
    See citations under working paper version above.
  9. Eric Guerci & Alessandro Sapio, 2012. "High wind Penetration in an Agent-Based Model of the Electricity Market. The Case of Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 415-447.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    3. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    4. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    5. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," Post-Print hal-01053562, HAL.
    6. De Siano, Rita & Sapio, Alessandro, 2022. "Spatial merit order effects of renewables in the Italian power exchange," Energy Economics, Elsevier, vol. 108(C).
    7. Sirin, Selahattin Murat & Yilmaz, Berna N., 2020. "Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect," Energy Policy, Elsevier, vol. 144(C).
    8. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  10. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
    See citations under working paper version above.
  11. Scalas, Enrico & Gallegati, Mauro & Guerci, Eric & Mas, David & Tedeschi, Alessandra, 2006. "Growth and allocation of resources in economics: The agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 86-90.
    See citations under working paper version above.
  12. Guerci, E. & Ivaldi, S. & Pastore, S. & Cincotti, S., 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 69-76.
    See citations under working paper version above.

Chapters

  1. Eric Guerci & Mohammad Ali Rastegar, 2012. "Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 141-153, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 22 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (17) 2010-06-11 2011-12-13 2015-01-26 2015-10-25 2015-10-25 2016-08-07 2017-10-01 2018-01-29 2018-10-22 2018-11-26 2019-01-21 2019-01-28 2019-04-01 2019-04-01 2019-12-09 2021-01-25 2021-04-12. Author is listed
  2. NEP-POL: Positive Political Economics (6) 2010-06-11 2010-07-24 2011-12-13 2015-01-26 2015-10-25 2018-01-29. Author is listed
  3. NEP-CBE: Cognitive and Behavioural Economics (5) 2016-08-07 2018-11-26 2019-01-28 2019-04-01 2021-01-25. Author is listed
  4. NEP-CDM: Collective Decision-Making (5) 2010-06-11 2011-12-13 2015-01-26 2015-10-25 2018-01-29. Author is listed
  5. NEP-GTH: Game Theory (4) 2010-06-11 2011-12-13 2015-10-25 2018-01-29
  6. NEP-NEU: Neuroeconomics (4) 2016-08-07 2018-11-26 2019-01-28 2019-04-01
  7. NEP-CMP: Computational Economics (2) 2005-11-19 2011-04-02
  8. NEP-ENE: Energy Economics (2) 2005-11-19 2011-04-02
  9. NEP-HME: Heterodox Microeconomics (2) 2020-01-27 2021-04-12
  10. NEP-COM: Industrial Competition (1) 2005-11-19
  11. NEP-CSE: Economics of Strategic Management (1) 2016-08-07
  12. NEP-DCM: Discrete Choice Models (1) 2021-04-12
  13. NEP-ECM: Econometrics (1) 2015-02-05
  14. NEP-EUR: Microeconomic European Issues (1) 2011-04-02
  15. NEP-FMK: Financial Markets (1) 2018-10-22

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Eric Guerci should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.