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Marco Raberto

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. Holcombe, Mike & Coakley, Simon & Kiran, Mariam & Chin, Shawn & Greenough, Chris & Worth, David & Cincotti, Silvano & Raberto, M. & Teglio, Andrea & Deissenberg, Christophe & Hoog, Sander van der & Da, 2024. "Large-Scale Modeling of Economic Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 149717, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    2. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
    3. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    5. Silvano Cincotti, 2021. "Facing the complexity of the economy: an opportunity for the new alliance between economics and engineering," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(4), pages 581-588, December.
    6. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    7. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.

  2. Demartini, Melissa & Bertani, Filippo & Tonelli, Flavio & Raberto, Marco & Cincotti, Silvano, 2021. "An investigation into modelling approaches for industrial symbiosis: a literature review," MPRA Paper 107448, University Library of Munich, Germany.

    Cited by:

    1. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.

  3. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

    Cited by:

    1. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.

  4. Bertani, Filippo & Raberto, Marco & Teglio, Andrea, 2020. "The Productivity and Unemployment Effects of the Digital Transformation: an Empirical and Modelling Assessment," MPRA Paper 98233, University Library of Munich, Germany.

    Cited by:

    1. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2021. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," LEM Papers Series 2021/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Pengyu Chen & Yuanyuan Hao, 2022. "Digital transformation and corporate environmental performance: The moderating role of board characteristics," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1757-1767, September.
    3. Jacopo Di Domenico & Alberto Russo, 2022. "Innovation, growth, and productivity appropriation. How the elites learned to stop worrying and love public debt," Working Papers 2022/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    5. Iqbal, Qaisar & Piwowar-Sulej, Katarzyna, 2024. "Technological social responsibility: A stakeholder theory-based measurement scale," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    6. Dawid, Herbert & Neugart, Michael, 2024. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 146300, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Gebs, Mehdi & Nabi, Mahmoud Sami, 2021. "The economic impacts of digitalization through an extended input-output model: theory and application to Tunisia," MPRA Paper 113299, University Library of Munich, Germany.
    8. Ha Minh Nguyen & Ngoc Hoang Bui, 2024. "The heterogeneity impacts of digital transformation, human capital, and trade openness on income and labour productivity in Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(4), pages 157-171.
    9. Florent Bordot & André Lorentz, 2021. "Automation and labor market polarization in an evolutionary model with heterogeneous workers," Working Papers of BETA 2021-39, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. Katarzyna Gruszka & Manuel Scholz-Wäckerle & Ernest Aigner, 2020. "Planetary carambolage: The evolutionary political economy of technology, nature and work," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 273-293, November.
    11. Lei Wang & Shibo Liu & Wanfang Xiong, 2022. "The Impact of Digital Transformation on Corporate Environment Performance: Evidence from China," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    12. Saeed Nosratabadi & Thabit Atobishi & Szilard HegedHus, 2023. "Social Sustainability of Digital Transformation: Empirical Evidence from EU-27 Countries," Papers 2305.16088, arXiv.org.
    13. Yasin Yilmaz, 2021. "Transition to the Digital Economy, Its Measurement and the Relationship between Digitalization and Productivity," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(1), pages 283-316, June.

  5. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.

    Cited by:

    1. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    2. Xing, Jack Linzhou & Sharif, Naubahar, 2020. "From creative destruction to creative appropriation: A comprehensive framework," Research Policy, Elsevier, vol. 49(7).
    3. Dawid, Herbert & Neugart, Michael, 2024. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 146300, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Shouwu Jing & Feijie Wu & Enyi Shi & Xinhui Wu & Minzhe Du, 2023. "Does the Digital Economy Promote the Reduction of Urban Carbon Emission Intensity?," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    5. Zhao, Qi & Guo, Ming & Feng, Fangfang & Li, Junjun & Guan, Hangtian, 2024. "Path analysis of digital development on the green industrial transformation of Chinese resource-based enterprises," Resources Policy, Elsevier, vol. 93(C).
    6. Ponta, Linda & Puliga, Gloria & Manzini, Raffaella & Cincotti, Silvano, 2024. "Reacting and recovering after an innovation failure. An agent-based approach," Technovation, Elsevier, vol. 129(C).
    7. Wei Zhang & Siqi Zhao & Xiaoyu Wan & Yuan Yao, 2021. "Study on the effect of digital economy on high-quality economic development in China," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-27, September.
    8. 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.
    9. Salvi, Antonio & Vitolla, Filippo & Rubino, Michele & Giakoumelou, Anastasia & Raimo, Nicola, 2021. "Online information on digitalisation processes and its impact on firm value," Journal of Business Research, Elsevier, vol. 124(C), pages 437-444.
    10. Zhou, Ruizhu, 2024. "Industry concentration and workers’ wage levels," Finance Research Letters, Elsevier, vol. 66(C).
    11. LIU, Nian & GU, Xinhua & LEI, Chun Kwok, 2022. "The equilibrium effects of digital technology on banking, production, and employment," Finance Research Letters, Elsevier, vol. 49(C).
    12. Qinqin Wu & Mengjie Bi & Faiza Siddiqui & Yao Tang, 2023. "Assessing the Impact of Digital Trade on Enterprise Competitiveness: Evidence from Chinese A-Share Listed Companies," Journal of Industry, Competition and Trade, Springer, vol. 23(3), pages 329-362, December.
    13. Adams, Kweku & Attah-Boakye, Rexford & Yu, Honglan & Chu, Irene & Mali, Dafydd, 2024. "African Continental Free Trade Area and Regional Trade in ICT and Digital Technologies," Journal of International Management, Elsevier, vol. 30(4).
    14. Yuan Wu & Ziwei Li, 2024. "Digital transformation, entrepreneurship, and disruptive innovation: evidence of corporate digitalization in China from 2010 to 2021," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    15. Fan, Zhaobin & Long, Rui & Shen, Zhixuan, 2024. "Regional digitalization, dynamic capabilities and green innovation: Evidence from e-commerce demonstration cities in China," Economic Modelling, Elsevier, vol. 139(C).
    16. Xu, Shengxiang & Chen, Hsinghung & Dong, Shuli & Guo, Zizheng, 2023. "Can upgrading information infrastructure improve the innovation ability of companies? Empirical evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    17. Xing Liu & Shaobo Hong & Zhi Su & Yuanren Zhou, 2025. "The Impact of Digital Transformation on High-Quality Development of Manufacturing Enterprises: An Integrated Perspective on Efficiency and Social Responsibility," Mathematics, MDPI, vol. 13(5), pages 1-37, February.
    18. Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2023. "Mind the Knowledge Gap! The Origins of Declining Business Dynamism in a Macro Agent-Based Model," CESifo Working Paper Series 10694, CESifo.
    19. João Amador & Cátia Silva, 2023. "A view on ICT and digitalization in Portuguese firms," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    20. Mai, Ruidong, 2025. "Digital transformation and corporate donations from the perspective of legitimacy management," Research in International Business and Finance, Elsevier, vol. 73(PB).
    21. Samuli Laato & Matti Mäntymäki & A. K.M. Najmul Islam & Sami Hyrynsalmi & Teemu Birkstedt, 2023. "Trends and Trajectories in the Software Industry: implications for the future of work," Information Systems Frontiers, Springer, vol. 25(2), pages 929-944, April.
    22. Wang, YiZheng & Zhang, ZhenTian, 2025. "Digital development and rural financial inclusion: Evidence from China," Research in International Business and Finance, Elsevier, vol. 73(PA).
    23. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    24. Jin, Xing & Lyu, Kangyin, 2024. "The impact of digital economy on emerging employment trends: Insights from the China Family Panel Survey (CFPS)," Finance Research Letters, Elsevier, vol. 64(C).
    25. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    26. Chen Ren & Sang-Joon Lee & Chenxi Hu, 2023. "Digitalization Improves Enterprise Performance: New Evidence by Text Analysis," SAGE Open, , vol. 13(2), pages 21582440231, May.

  6. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.

    Cited by:

    1. Eliana Lauretta & Sajid M. Chaudhry & Daniel Santamaria, 2023. "Unveiling the black swan of the finance‐growth Nexus: Assumptions and preliminary evidence of virtuous and unvirtuous cycles," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3749-3773, October.
    2. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    3. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.

  7. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

    Cited by:

    1. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    2. Phillip Anthony O’Hara, 2021. "Objectives of the Review of Evolutionary Political Economy’s ‘Manifesto’ and editorial proposals on world problems, complex systems, historico-institutional and corruption issues," Review of Evolutionary Political Economy, Springer, vol. 2(2), pages 359-387, July.
    3. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    4. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    5. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    6. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    7. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    8. Ermanno Catullo & Federico Giri & Mauro Gallegati, 2019. "Macro and Micro Prudential Policies: Sweet and Lowdown in a Credit Network Agent Based Model," Working Papers 434, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2018. "Inequality and finance in a rent economy," Greenwich Papers in Political Economy 20377, University of Greenwich, Greenwich Political Economy Research Centre.
    10. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    11. Chen, Siyan & Desiderio, Saul, 2020. "Job duration and inequality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-27.
    12. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    13. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    14. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    15. 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.
    16. Davide Bazzana, 2020. "Ageing population and pension system sustainability: reforms and redistributive implications," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 971-992, October.
    17. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    18. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    19. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    20. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    21. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

  8. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    3. Domenico Delli Gatti & Tommaso Ferraresi & Filippo Gusella & Lilit Popoyan & Giorgio Ricchiuti & Andrea Roventini, 2024. "The complex interplay between exchange rate and real markets: an agent-based model exploration," LEM Papers Series 2024/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    5. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    6. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    7. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    8. Domenico Delli Gatti & Tommaso Ferraresi & Filippo Gusella & Lilit Popoyan & Giorgio Ricchiuti & Andrea Roventini, 2024. "The interplay between real and exchange rate market: an agent-based model approach," Working Papers - Economics wp2024_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    9. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent - based model," SciencePo Working papers Main hal-03471735, HAL.
    10. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    12. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.
    13. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    14. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

  9. Thorir Bjarnason & Einar Jón Erlingsson & Bulent Ozel & Hlynur Stefánsson & Jón Thor Sturluson & Marco Raberto, 2017. "Macroeconomic effects of varied mortgage instruments studied using agent-based model simulations," Working Papers 2017/10, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).

  10. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.

    Cited by:

    1. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Patrick Mellacher & Timon Scheuer, 2021. "Wage Inequality, Labor Market Polarization and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 233-278, August.
    5. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," LEM Papers Series 2021/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Wang, Baixue & Duan, Maosheng, 2022. "Consignment auctions of emissions trading systems: An agent-based approach based on China’s practice," Energy Economics, Elsevier, vol. 112(C).
    7. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    8. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so close : coupled climate and economic dynamics in an agent-based integrated assessment model," SciencePo Working papers Main hal-03458816, HAL.
    9. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Zhang, Zhouyi & Song, Yi & Cheng, Jinhua & Zhang, Yijun, 2023. "Effects of heterogeneous ICT on critical metal supply: A differentiated perspective on primary and secondary supply," Resources Policy, Elsevier, vol. 83(C).
    11. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    12. Imran Khan & Faheem Ur Rehman & Paula Pypłacz & Muhammad Asif Khan & Agnieszka Wiśniewska & Katarzyna Liczmańska-Kopcewicz, 2021. "A Dynamic Linkage between Financial Development, Energy Consumption and Economic Growth: Evidence from an Asymmetric and Nonlinear ARDL Model," Energies, MDPI, vol. 14(16), pages 1-15, August.
    13. Teresa Lackner & Luca E. Fierro & Patrick Mellacher, 2024. "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," Graz Economics Papers 2024-07, University of Graz, Department of Economics.
    14. Pavlović, Boban & Ivezić, Dejan & Živković, Marija, 2022. "Transition pathways of household heating in Serbia: Analysis based on an agent-based model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    15. Philip Alege & Queen-Esther Oye & Omobola Adu, 2019. "Renewable Energy, Shocks and the Growth Agenda: A Dynamic Stochastic General Equilibrium Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 160-167.
    16. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    17. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
    18. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    19. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    20. Philip Chukwunonso Bosah & Shixiang Li & Gideon Kwaku Minua Ampofo & Daniel Akwasi Asante & Zhanqi Wang, 2020. "The Nexus Between Electricity Consumption, Economic Growth, and CO 2 Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach," Energies, MDPI, vol. 13(5), pages 1-24, March.
    21. Ewa Chomać-Pierzecka, 2024. "Investment in Offshore Wind Energy in Poland and Its Impact on Public Opinion," Energies, MDPI, vol. 17(16), pages 1-19, August.
    22. Gourdel, Régis & Monasterolo, Irene & Dunz, Nepomuk & Mazzocchetti, Andrea & Parisi, Laura, 2022. "The double materiality of climate physical and transition risks in the euro area," Working Paper Series 2665, European Central Bank.
    23. Coester, Andreas & Hofkes, Marjan W. & Papyrakis, Elissaios, 2018. "Economics of renewable energy expansion and security of supply: A dynamic simulation of the German electricity market," Applied Energy, Elsevier, vol. 231(C), pages 1268-1284.
    24. Feihu Hu & Xuan Feng & Hui Cao, 2018. "A Short-Term Decision Model for Electricity Retailers: Electricity Procurement and Time-of-Use Pricing," Energies, MDPI, vol. 11(12), pages 1-18, November.
    25. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    26. Rafik Nafkha & Krzysztof Gajowniczek & Tomasz Ząbkowski, 2018. "Do Customers Choose Proper Tariff? Empirical Analysis Based on Polish Data Using Unsupervised Techniques," Energies, MDPI, vol. 11(3), pages 1-17, February.
    27. Monasterolo, Irene & Raberto, Marco, 2019. "The impact of phasing out fossil fuel subsidies on the low-carbon transition," Energy Policy, Elsevier, vol. 124(C), pages 355-370.
    28. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
    29. Mikael Randrup Byrialsen & Hamid Raza, "undated". "An Empirical Stock-Flow Consistent Macroeconomic Model for Denmark," Economics Working Paper Archive wp_942, Levy Economics Institute.
    30. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    31. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    32. 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.
    33. Thomas Baldauf & Patrick Jochem, 2024. "Project finance or corporate finance for renewable energy? an agent-based insight," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 759-805, October.
    34. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    35. Srete Nikolovski & Hamid Reza Baghaee & Dragan Mlakić, 2018. "ANFIS-Based Peak Power Shaving/Curtailment in Microgrids Including PV Units and BESSs," Energies, MDPI, vol. 11(11), pages 1-23, October.
    36. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    37. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    38. Tommaso Ciarli & Maria Savona, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," SPRU Working Paper Series 2019-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    39. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    40. Tim Stoffel & Carol Cravero & Annamaria La Chimia & Geo Quinot, 2019. "Multidimensionality of Sustainable Public Procurement (SPP)—Exploring Concepts and Effects in Sub-Saharan Africa and Europe," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    41. Sizhou Sun & Lisheng Wei & Jie Xu & Zhenni Jin, 2019. "A New Wind Speed Forecasting Modeling Strategy Using Two-Stage Decomposition, Feature Selection and DAWNN," Energies, MDPI, vol. 12(3), pages 1-24, January.
    42. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    43. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    44. Yan, Shuli & Wang, Jingyuan & Wu, Liangpeng, 2024. "Dynamics of green transition based on stock-flow consistent model considering compound risks," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 530-553.
    45. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    46. Jian Yang & Xin Zhao & Haikun Wei & Kanjian Zhang, 2019. "Sample Selection Based on Active Learning for Short-Term Wind Speed Prediction," Energies, MDPI, vol. 12(3), pages 1-12, January.
    47. Zigui Jiang & Rongheng Lin & Fangchun Yang, 2018. "A Hybrid Machine Learning Model for Electricity Consumer Categorization Using Smart Meter Data," Energies, MDPI, vol. 11(9), pages 1-19, August.
    48. Wei Dong & Qiang Yang & Xinli Fang, 2018. "Multi-Step Ahead Wind Power Generation Prediction Based on Hybrid Machine Learning Techniques," Energies, MDPI, vol. 11(8), pages 1-19, July.
    49. Raúl Arango-Miranda & Robert Hausler & Rabindranarth Romero-Lopez & Mathias Glaus & Sara P. Ibarra-Zavaleta, 2018. "Carbon Dioxide Emissions, Energy Consumption and Economic Growth: A Comparative Empirical Study of Selected Developed and Developing Countries. “The Role of Exergy”," Energies, MDPI, vol. 11(10), pages 1-16, October.
    50. Mura, Matteo & Longo, Mariolina & Toschi, Laura & Zanni, Sara & Visani, Franco & Bianconcini, Silvia, 2021. "The role of geographical scales in sustainability transitions: An empirical investigation of the European industrial context," Ecological Economics, Elsevier, vol. 183(C).
    51. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    52. Daniel Ganea & Elena Mereuta & Liliana Rusu, 2018. "Estimation of the Near Future Wind Power Potential in the Black Sea," Energies, MDPI, vol. 11(11), pages 1-21, November.
    53. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    54. Jean-François Fagnart & Marc Germain & Benjamin Peeters, 2020. "Can the Energy Transition Be Smooth? A General Equilibrium Approach to the EROEI," Sustainability, MDPI, vol. 12(3), pages 1-29, February.
    55. Nikolas Schiozer & Gilberto Tadeu Lima & Michel Alexandre, 2024. "Heterogeneity in pricing behavior in hybrid DSGE-ABM macrodynamics," Working Papers, Department of Economics 2024_26, University of São Paulo (FEA-USP).
    56. Linda Ponta & Silvano Cincotti, 2018. "Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach," Complexity, Hindawi, vol. 2018, pages 1-9, January.
    57. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
    58. Juan Yang & Mirza Nasir Jahan Mehdi & Muhammad Hafeez & Md. Abdul Kaium & Raufhon Salahodjaev, 2023. "Financial Indicators’ Performance and Green Financing Projects: A Comparative Study from PSX and NYSX," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    59. Jianzhong Zhou & Han Liu & Yanhe Xu & Wei Jiang, 2018. "A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network," Energies, MDPI, vol. 11(9), pages 1-18, August.
    60. Chiou-Jye Huang & Ping-Huan Kuo, 2018. "A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.
    61. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    62. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    63. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    64. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2022. "Solar collective self-consumption: Economic analysis of a policy mix," Ecological Economics, Elsevier, vol. 199(C).
    65. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    66. Canelli, Rosa & Fontana, Giuseppe & Realfonzo, Riccardo & Passarella, Marco Veronese, 2024. "Energy crisis, economic growth and public finance in Italy," Energy Economics, Elsevier, vol. 132(C).
    67. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    68. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi, 2018. "An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network," Energies, MDPI, vol. 11(10), pages 1-31, October.
    69. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    70. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    71. Lee, Chien-Chiang & Wang, Tianhui, 2024. "The impact of renewable energy policies on the energy transition -– An empirical analysis of Chinese cities," Energy Economics, Elsevier, vol. 138(C).
    72. Dunz, Nepomuk & Hrast Essenfelder, Arthur & Mazzocchetti, Andrea & Monasterolo, Irene & Raberto, Marco, 2023. "Compounding COVID-19 and climate risks: The interplay of banks’ lending and government’s policy in the shock recovery," Journal of Banking & Finance, Elsevier, vol. 152(C).
    73. Muhammad Waseem Ahmad & Anthony Mouraud & Yacine Rezgui & Monjur Mourshed, 2018. "Deep Highway Networks and Tree-Based Ensemble for Predicting Short-Term Building Energy Consumption," Energies, MDPI, vol. 11(12), pages 1-21, December.
    74. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

  11. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    2. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    3. Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu & Farmer, J. Doyne, 2022. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 976, Bank of England.
    4. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    5. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    6. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    7. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    8. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    9. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    10. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    11. Bernardo Alves Furtado, 2021. "PolicySpace2: modeling markets and endogenous public policies," Papers 2102.11929, arXiv.org, revised Oct 2021.
    12. Ruben Tarne & Dirk Bezemer & Thomas Theobald, 2021. "The Effect of borrower-specific Loan-to-Value policies on household debt, wealth inequality and consumption volatility," FMM Working Paper 70-2021, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    13. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    14. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    15. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    16. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    17. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    18. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    19. Tarne, Ruben & Bezemer, Dirk & Theobald, Thomas, 2022. "The effect of borrower-specific loan-to-value policies on household debt, wealth inequality and consumption volatility: An agent-based analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

  12. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    2. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    3. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

  13. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2025. "The impact of prudential regulation on the UK housing market and economy: Insights from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    2. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    3. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    4. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    5. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    7. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    8. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    9. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    10. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    11. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
    12. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    13. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    14. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Tommaso Ciarli & Maria Savona, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," SPRU Working Paper Series 2019-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    17. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    18. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    19. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    20. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    21. Nikolas Schiozer & Gilberto Tadeu Lima & Michel Alexandre, 2024. "Heterogeneity in pricing behavior in hybrid DSGE-ABM macrodynamics," Working Papers, Department of Economics 2024_26, University of São Paulo (FEA-USP).
    22. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    23. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    24. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    25. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    26. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    27. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    28. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    29. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

  14. Erlingsson, Einar Jon & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Teglio, Andrea & Raberto, Marco, 2013. "Housing market bubbles and business cycles in an agent-based credit economy," Economics Discussion Papers 2013-32, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    3. Huub Meijers & Önder Nomaler & Bart Verspagen, 2019. "Demand, credit and macroeconomic dynamics. A micro simulation model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 337-364, March.
    4. Klimek, Peter & Poledna, Sebastian & Doyne Farmer, J. & Thurner, Stefan, 2015. "To bail-out or to bail-in? Answers from an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 144-154.
    5. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    6. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    7. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    8. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    9. Khaldoun Khashanah & Talal Alsulaiman, 2017. "Connectivity, Information Jumps, and Market Stability: An Agent-Based Approach," Complexity, Hindawi, vol. 2017, pages 1-16, August.
    10. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    11. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    12. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    13. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    14. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    15. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    16. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    17. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    18. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    19. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.
    20. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    21. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.

  15. 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).

    Cited by:

    1. Williams, Michael A. & Pinto, Brijesh P. & Park, David, 2015. "Global evidence on the distribution of firm growth rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 102-107.
    2. Oh, Ilfan, 2019. "Autonomy of profit rate distribution and its dynamics from firm size measures: A statistical equilibrium approach," BERG Working Paper Series 146, Bamberg University, Bamberg Economic Research Group.
    3. Delmar, Frédéric & Wallin, Jonas & Nofal, Ahmed Maged, 2022. "Modeling new-firm growth and survival with panel data using event magnitude regression," Journal of Business Venturing, Elsevier, vol. 37(5).
    4. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2019. "Exploiting ergodicity in forecasts of corporate profitability," BERG Working Paper Series 147, Bamberg University, Bamberg Economic Research Group.
    5. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    6. Metzig, Cornelia & Gordon, Mirta B., 2014. "A model for scaling in firms’ size and growth rate distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 264-279.
    7. Mundt, Philipp & Förster, Niels & Alfarano, Simone & Milaković, Mishael, 2014. "The real versus the financial economy: A global tale of stability versus volatility," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-26.
    8. 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.
    9. Thomas Brenner & Matthias Duschl, 2018. "Modeling Firm and Market Dynamics: A Flexible Model Reproducing Existing Stylized Facts on Firm Growth," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 745-772, October.
    10. Anna Maria Fiori, 2020. "On firm size distribution: statistical models, mechanisms, and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(3), pages 447-482, September.
    11. Marko Petrović & Andrea Teglio & Simone Alfarano, 2022. "Credit allocation and the financial crisis: evidence from Spanish companies," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 1069-1114, October.
    12. David Vidal-Tomás & Alba Ruiz-Buforn & Omar Blanco-Arroyo & Simone Alfarano, 2022. "A Cross-Sectional Analysis of Growth and Profit Rate Distribution: The Spanish Case," Mathematics, MDPI, vol. 10(6), pages 1-20, March.
    13. Williams, Michael A. & Baek, Grace & Park, Leslie Y. & Zhao, Wei, 2016. "Global evidence on the distribution of economic profit rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 356-363.
    14. Matthias Duschl & Shi-Shu Peng, 2013. "Chinese firm dynamics and the role of ownership type A conditional estimation approach of the Asymmetric Exponential Power (AEP) density," Papers on Economics and Evolution 2014-01, Philipps University Marburg, Department of Geography.
    15. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.
    16. Yoshiyuki ARATA, 2014. "Firm Growth and Laplace Distribution: The importance of large jumps," Discussion papers 14033, Research Institute of Economy, Trade and Industry (RIETI).

  16. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2012. "Macroprudential policies in an agent-based artificial economy," Working Papers 2012/05, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Takahiro Obata & Jun Sakazaki & Setsuya Kurahashi, 2023. "Building a Macroeconomic Simulator with Multi-Layered Supplier–Customer Relationships," Risks, MDPI, vol. 11(7), pages 1-31, July.
    2. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Weihong Huang & Yu Zhang, 2017. "Endogenous Fundamental and Stock Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 629-653, December.
    5. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    6. Ermanno Catullo & Federico Giri & Mauro Gallegati, 2019. "Macro and Micro Prudential Policies: Sweet and Lowdown in a Credit Network Agent Based Model," Working Papers 434, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Klára Baková, 2018. "The Financial Accelerator in Europe after the Financial Crisis," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 143-155.
    8. Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu & Farmer, J. Doyne, 2022. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 976, Bank of England.
    9. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    10. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    11. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    12. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    13. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    14. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    15. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    17. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary Policy and Large Crises in a Financial Accelerator Agent-Based Model," MPRA Paper 70371, University Library of Munich, Germany.
    18. Boyao Li, 2023. "The macroeconomic effects of endogenous credit and money creation under Basel III regulations," Metroeconomica, Wiley Blackwell, vol. 74(4), pages 887-907, November.
    19. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," Post-Print hal-01053562, HAL.
    20. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    21. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    22. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy-On the limitations of simple rules," CEPN Working Papers 2017-07, Centre d'Economie de l'Université de Paris Nord.
    23. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    24. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    25. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    26. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    27. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
    28. Curto, José Dias & Quinaz, Pedro Miguel Mateus Dias, 2016. "Prudential regulation in an artificial banking system," Economics Discussion Papers 2016-27, Kiel Institute for the World Economy (IfW Kiel).
    29. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    30. Li, Boyao, 2022. "The macroeconomic effects of Basel III regulations with endogenous credit and money creation," MPRA Paper 113873, University Library of Munich, Germany.
    31. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    32. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).

  17. Linda Ponta & Mailan Trinh & Marco Raberto & Enrico Scalas & Silvano Cincotti, 2012. "Modeling non-stationarities in high-frequency financial time series," Papers 1212.0479, arXiv.org, revised Feb 2017.

    Cited by:

    1. Rytis Kazakevicius & Aleksejus Kononovicius & Bronislovas Kaulakys & Vygintas Gontis, 2021. "Understanding the nature of the long-range memory phenomenon in socioeconomic systems," Papers 2108.02506, arXiv.org, revised Aug 2021.
    2. Eom, Cheoljun & Kaizoji, Taisei & Scalas, Enrico, 2019. "Fat tails in financial return distributions revisited: Evidence from the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    3. Eom, Cheoljun & Kaizoji, Taisei & Livan, Giacomo & Scalas, Enrico, 2021. "Limitations of portfolio diversification through fat tails of the return Distributions: Some empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    4. Kreer, Markus & Kizilersu, Ayse & Thomas, Anthony W., 2022. "Censored expectation maximization algorithm for mixtures: Application to intertrade waiting times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    5. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    6. Arias-Calluari, Karina & Najafi, Morteza. N. & Harré, Michael S. & Tang, Yaoyue & Alonso-Marroquin, Fernando, 2022. "Testing stationarity of the detrended price return in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    7. Binghui Wu & Tingting Duan, 2019. "Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network," Complexity, Hindawi, vol. 2019, pages 1-12, June.

  18. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    2. Erlingsson, Einar Jón & Alfarano, Simone & Raberto, Marco & Stefánsson, Hlynur, 2012. "On the distributional properties of size, pro fit and growth of Icelandic firms," MPRA Paper 35857, University Library of Munich, Germany.
    3. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    4. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," Post-Print halshs-03046977, HAL.
    5. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    6. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    7. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," SciencePo Working papers Main hal-03459508, HAL.
    8. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03399574, HAL.
    10. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    11. João Silvestre, 2017. "Sovereign default contagion: an agent-based model approach," Working Papers Department of Economics 2017/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    12. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," LEM Papers Series 2021/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    14. Elena Deryugina & Alexey Ponomarenko & Anna Rozhkova, 2018. "When are credit gap estimates reliable?," Bank of Russia Working Paper Series wps34, Bank of Russia.
    15. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    16. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    17. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers 07/2012, University of Verona, Department of Economics.
    18. Quinaz, Pedro Dias & Curto, José Dias, 2016. "Prudential regulation in an artificial banking system," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-55.
    19. Klimek, Peter & Poledna, Sebastian & Doyne Farmer, J. & Thurner, Stefan, 2015. "To bail-out or to bail-in? Answers from an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 144-154.
    20. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    21. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    22. Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2015. "Time varying fiscal multipliers in an agent-based model with credit rationing," SciencePo Working papers Main hal-03571148, HAL.
    23. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    24. Guglielmo Maria Caporale & Luis A. Gil-Alana & Maria Malmierca, 2021. "Persistence in the Private Debt-to-GDP Ratio: Evidence from 43 OECD Countries," CESifo Working Paper Series 8889, CESifo.
    25. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    26. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income distribution, credit and fiscal policies in an agent-based keynesian model," Working Papers hal-01070285, HAL.
    27. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, debt and market structure in an agent-based model of the financial market," ZEW Discussion Papers 12-045, ZEW - Leibniz Centre for European Economic Research.
    28. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    29. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    30. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    31. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    32. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    33. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    34. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    35. Siyan Chen & Saul Desiderio, 2018. "Long-run consequences of debt," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 365-383, July.
    36. Italo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers 2018-11, Centre d'Economie de l'Université de Paris Nord.
    37. Lauretta, Eliana & Chaudhry, Sajid & Mullineux, Andy, 2015. "Theory and Evidence on the Finance-Growth Relationship: The Virtuous and Unvirtuous Cycles," MPRA Paper 70613, University Library of Munich, Germany.
    38. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and Monetary Policies in Complex Evolving Economies," LEM Papers Series 2014/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    39. Gechert, Sebastian, 2012. "The multiplier principle, credit-money and time," MPRA Paper 34648, University Library of Munich, Germany.
    40. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    41. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    42. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    43. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    44. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    45. 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.
    46. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    47. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    48. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    49. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    50. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary Policy and Large Crises in a Financial Accelerator Agent-Based Model," MPRA Paper 70371, University Library of Munich, Germany.
    51. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    52. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    53. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    54. Mauro Napoletano & Andrea Roventini & Jean Luc Gaffard, 2015. "Toward a low carbon growth in Mexico : is a double dividend possible ? A dynamic general equilibrium assessment," Documents de Travail de l'OFCE 2015-25, Observatoire Francais des Conjonctures Economiques (OFCE).
    55. Dawid, H. & Harting, P. & Neugart, M., 2018. "Cohesion policy and inequality dynamics: Insights from a heterogeneous agents macroeconomic model," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 220-255.
    56. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    57. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    58. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    59. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    60. Juan Carlos Cuestas & Luis A. Gil-Alana & María Malmierca, 2022. "Credit-to-GDP ratios – non-linear trends and persistence: evidence from 44 OECD economies," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(3), pages 448-463, March.
    61. Roberto Veneziani & Luca Zamparelli & Corrado Di Guilmi, 2017. "The Agent-Based Approach To Post Keynesian Macro-Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    62. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    63. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    64. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    65. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    66. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    67. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    68. Tiziana Assenza & Domenico Delli Gatti, 2019. "The financial transmission of shocks in a simple hybrid macroeconomic agent based model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 265-297, March.
    69. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    70. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    71. Andrey F. Shorikov & Grigory B. Korovin & Dmitry V. Sirotin, 2023. "Methodology for regional industrial complex management: Architecture of an agent-based model," Upravlenets, Ural State University of Economics, vol. 14(6), pages 63-76, December.
    72. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    73. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    74. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    75. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    76. Shigeaki Ogibayashi & Kosei Takashima, 2017. "Influential factors responsible for the effect of tax reduction on GDP," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 431-449, December.
    77. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    78. Marko Petrović & Andrea Teglio & Simone Alfarano, 2022. "Credit allocation and the financial crisis: evidence from Spanish companies," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 1069-1114, October.
    79. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    80. Curto, José Dias & Quinaz, Pedro Miguel Mateus Dias, 2016. "Prudential regulation in an artificial banking system," Economics Discussion Papers 2016-27, Kiel Institute for the World Economy (IfW Kiel).
    81. Enrico Scalas & Tijana Radivojević & Ubaldo Garibaldi, 2015. "Wealth distribution and the Lorenz curve: a finitary approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 79-89, April.
    82. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    83. Pascal Seppecher, 2014. "Pour une macroéconomie monétaire dynamique et complexe," Post-Print hal-01097473, HAL.
    84. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
    85. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    86. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    87. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    88. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    89. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    90. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    91. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  19. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2011. "The impact of banks’ capital adequacy regulation on the economic system: an agent-based approach," Working Papers 2011/01, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Marc Sanchez-Roger & María Dolores Oliver-Alfonso & Carlos Sanchís-Pedregosa, 2018. "Bail-In: A Sustainable Mechanism for Rescuing Banks," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    2. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Li, Xi Hao & Gallegati, Mauro, 2015. "Sectoral Imbalance in Two-Sector Economy with Mobility Constraint and Firm Migration," MPRA Paper 66002, University Library of Munich, Germany.
    4. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03399574, HAL.
    5. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    6. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Fatouh, Mahmoud & Markose, Sheri & Giansante, Simone, 2021. "The impact of quantitative easing on UK bank lending: Why banks do not lend to businesses?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 928-953.
    8. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.
    9. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    10. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    11. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    12. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    13. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    14. Baaeth Atallah Dalaien, 2016. "Impact of Global Financial Crisis on Banking Sector of India and Jordan," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 2(1), pages 79-95, March.
    15. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    16. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    17. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    18. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    19. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    20. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    21. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    22. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy-On the limitations of simple rules," CEPN Working Papers 2017-07, Centre d'Economie de l'Université de Paris Nord.
    23. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    24. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    25. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    26. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
    27. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    28. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    29. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    30. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    31. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    32. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    33. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    34. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

  20. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    4. Erlingsson, Einar Jón & Alfarano, Simone & Raberto, Marco & Stefánsson, Hlynur, 2012. "On the distributional properties of size, pro fit and growth of Icelandic firms," MPRA Paper 35857, University Library of Munich, Germany.
    5. Alessio Emanuele Biondo, 2023. "Mr.Keynes and the... Complexity! A suggested agent-based version of the General Theory of Employment, Interest and Money," Papers 2303.00889, arXiv.org, revised Mar 2023.
    6. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    7. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    8. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    10. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    11. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    12. Peter Howitt & Ömer Özak, 2009. "Adaptive Consumption Behavior," NBER Working Papers 15427, National Bureau of Economic Research, Inc.
    13. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    14. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    15. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    16. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    17. Weihong Huang & Yu Zhang, 2017. "Endogenous Fundamental and Stock Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 629-653, December.
    18. Teglio, Andrea, 2020. "On the typicality of the representative agent," MPRA Paper 105407, University Library of Munich, Germany.
    19. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    20. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    21. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    22. Kurt Kratena, 2015. "Thematic Report: Macroeconomic Models Including Specifically Social and Environmental Aspects. WWWforEurope Deliverable No. 8," WIFO Studies, WIFO, number 58411.
    23. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers 07/2012, University of Verona, Department of Economics.
    24. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    25. Fadiran, Gideon & Fadiran, David & Ibn-Mohammed, Taofeeq, 2017. "Macroeconomic Policy effects on development transition – Views from Agent based model," MPRA Paper 103197, University Library of Munich, Germany, revised Dec 2018.
    26. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    27. Ruggero GRILLI & Gabriele TEDESCHI & Mauro GALLEGATI, 2012. "Markets connectivity and financial contagion," Working Papers 382, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    28. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    29. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    30. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    31. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income distribution, credit and fiscal policies in an agent-based keynesian model," Working Papers hal-01070285, HAL.
    32. Chen, Siyan & Desiderio, Saul, 2020. "Job duration and inequality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-27.
    33. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    34. Reyns, Ariane, 2024. "What drives businesses to transact with complementary currencies?," Ecological Economics, Elsevier, vol. 220(C).
    35. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    36. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    37. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    38. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    39. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    40. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    41. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    42. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    43. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    44. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    45. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    46. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    47. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    48. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    49. 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.
    50. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    51. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    52. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    53. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    54. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    55. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    56. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    57. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    58. Domenico Gatti & Saul Desiderio, 2015. "Monetary policy experiments in an agent-based model with financial frictions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 265-286, October.
    59. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891.
    60. Tommaso Ciarli & Maria Savona, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," SPRU Working Paper Series 2019-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    61. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    62. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    63. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary Policy and Large Crises in a Financial Accelerator Agent-Based Model," MPRA Paper 70371, University Library of Munich, Germany.
    64. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    65. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    66. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    67. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    68. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    69. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    70. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2012. "Macroprudential Policies in an Agent-Based Artificial Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 205-234.
    71. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    72. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    73. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    74. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    75. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy-On the limitations of simple rules," CEPN Working Papers 2017-07, Centre d'Economie de l'Université de Paris Nord.
    76. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    77. Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    78. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    79. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    80. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    81. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    82. Tiziana Assenza & Domenico Delli Gatti, 2019. "The financial transmission of shocks in a simple hybrid macroeconomic agent based model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 265-297, March.
    83. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    84. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    85. Silvano Cincotti & Wolfram Elsner & Nathalie Lazaric & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Review of Evolutionary Political Economy, Springer, vol. 1(1), pages 1-12, May.
    86. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-32.
    87. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    88. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    89. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    90. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    91. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    92. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    93. David Umoru & Lawrence Aghedo, 2017. "Financial Stability and Credit Creation in Nigeria: An Econometric Evaluation," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(4), pages 19-23, December.
    94. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    95. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    96. Wäckerle, Manuel, 2013. "On the bottom-up foundations of the banking-macro nexus," Economics Discussion Papers 2013-5, Kiel Institute for the World Economy (IfW Kiel).
    97. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    98. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    99. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    100. Hanappi, Hardy & Scholz-Waeckerle, Manuel, 2015. "Evolutionary Political Economy: Content and Methods," MPRA Paper 75447, University Library of Munich, Germany.
    101. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    102. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    103. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    104. Howitt, Peter, 2012. "What have central bankers learned from modern macroeconomic theory?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 11-22.
    105. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    106. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    107. Richard Bookstaber, 2012. "Using Agent-Based Models for Analyzing Threats to Financial Stability," Working Papers 12-03, Office of Financial Research, US Department of the Treasury.
    108. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    109. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Financial stability at risk due to investing rapidly in renewable energy," Energy Policy, Elsevier, vol. 108(C), pages 12-20.
    110. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.

  21. 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.

  22. Enrico Scalas & Rudolf Gorenflo & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2003. "Anomalous waiting times in high-frequency financial data," Papers cond-mat/0310305, arXiv.org.

    Cited by:

    1. Scalas, Enrico & Kaizoji, Taisei & Kirchler, Michael & Huber, Jürgen & Tedeschi, Alessandra, 2006. "Waiting times between orders and trades in double-auction markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 463-471.
    2. Ren, Fei & Gu, Gao-Feng & Zhou, Wei-Xing, 2009. "Scaling and memory in the return intervals of realized volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(22), pages 4787-4796.
    3. Scalas, Enrico, 2006. "The application of continuous-time random walks in finance and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 225-239.
    4. Du, Bian & Zhu, Hongliang & Zhao, Jingdong, 2016. "Optimal execution in high-frequency trading with Bayesian learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 767-777.
    5. Ren, Fei & Guo, Liang & Zhou, Wei-Xing, 2009. "Statistical properties of volatility return intervals of Chinese stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 881-890.
    6. Zhi-Qiang Jiang & Wei Chen & Wei-Xing Zhou, 2008. "Scaling in the distribution of intertrade durations of Chinese stocks," Papers 0804.3431, arXiv.org, revised Apr 2008.
    7. Takero Ibuki & Jun-ichi Inoue, 2011. "Response of double-auction markets to instantaneous Selling–Buying signals with stochastic Bid–Ask spread," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(2), pages 93-120, November.
    8. Ruan, Yong-Ping & Zhou, Wei-Xing, 2011. "Long-term correlations and multifractal nature in the intertrade durations of a liquid Chinese stock and its warrant," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1646-1654.
    9. James Primbs & Muruhan Rathinam, 2009. "Trader Behavior and its Effect on Asset Price Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 151-181.
    10. Jiang, Zhi-Qiang & Chen, Wei & Zhou, Wei-Xing, 2009. "Detrended fluctuation analysis of intertrade durations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(4), pages 433-440.
    11. Niu, Hongli & Wang, Jun & Lu, Yunfan, 2016. "Fluctuation behaviors of financial return volatility duration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 30-40.
    12. Enrico Scalas, 2006. "Five Years of Continuous-time Random Walks in Econophysics," Lecture Notes in Economics and Mathematical Systems, in: Akira Namatame & Taisei Kaizouji & Yuuji Aruka (ed.), The Complex Networks of Economic Interactions, pages 3-16, Springer.
    13. Langlands, T.A.M., 2006. "Solution of a modified fractional diffusion equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 136-144.
    14. Politi, Mauro & Scalas, Enrico, 2007. "Activity spectrum from waiting-time distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 43-48.
    15. Scalas, Enrico, 2007. "Mixtures of compound Poisson processes as models of tick-by-tick financial data," Chaos, Solitons & Fractals, Elsevier, vol. 34(1), pages 33-40.
    16. Rafał Weron & Ingve Simonsen, 2006. "Blackouts, risk, and fat-tailed distributions," Springer Books, in: Hideki Takayasu (ed.), Practical Fruits of Econophysics, pages 215-219, Springer.
    17. Xiao-Hui Ni & Zhi-Qiang Jiang & Gao-Feng Gu & Fei Ren & Wei Chen & Wei-Xing Zhou, 2009. "Scaling and memory in the non-poisson process of limit order cancelation," Papers 0911.0057, arXiv.org.
    18. Álvaro Cartea, 2013. "Derivatives pricing with marked point processes using tick-by-tick data," Quantitative Finance, Taylor & Francis Journals, vol. 13(1), pages 111-123, January.
    19. Kaizoji, Taisei & Kaizoji, Michiyo, 2004. "Power law for the calm-time interval of price changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 563-570.
    20. Bertram, William K., 2008. "Measuring time dependent volatility and cross-sectional correlation in Australian equity returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3183-3191.
    21. Vasily E. Tarasov, 2019. "On History of Mathematical Economics: Application of Fractional Calculus," Mathematics, MDPI, vol. 7(6), pages 1-28, June.
    22. Tarasov, Vasily E., 2020. "Fractional econophysics: Market price dynamics with memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    23. Linda Ponta & Mailan Trinh & Marco Raberto & Enrico Scalas & Silvano Cincotti, 2012. "Modeling non-stationarities in high-frequency financial time series," Papers 1212.0479, arXiv.org, revised Feb 2017.
    24. Magdalena Osinska & Andrzej Dobrzynski & Yochanan Shachmurove, 2016. "Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 819-851, December.

  23. Marco Raberto & Silvano Cincott & Sergio M. Focardi & Michele Marchesi, 2002. "Traders’ long-run wealth in an artificial financial market," Computing in Economics and Finance 2002 301, Society for Computational Economics.

    Cited by:

    1. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
    2. Manahov, Viktor & Hudson, Robert & Linsley, Philip, 2014. "New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 299-316.
    3. Luisanna Cocco & Giulio Concas & Michele Marchesi, 2017. "Using an artificial financial market for studying a cryptocurrency market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 345-365, July.
    4. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2015. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 1-25.
    5. Bruno Beaufils & Olivier Brandouy & Julien Derveeuw & Philippe Mathieu, 2007. "Testing double auction as a component within a generic market model architecture," Post-Print hal-00826143, HAL.
    6. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.
    7. Olivier Brandouy & Philippe Mathieu & Iryna Veryzhenko, 2012. "Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis," Post-Print hal-00826144, HAL.
    8. Goykhman, Mikhail, 2017. "Wealth dynamics in a sentiment-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 488(C), pages 132-148.
    9. Victor M. Yakovenko, 2007. "Econophysics, Statistical Mechanics Approach to," Papers 0709.3662, arXiv.org, revised Aug 2008.
    10. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    11. Kei Katahira & Yu Chen & Gaku Hashimoto & Hiroshi Okuda, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Papers 1902.02040, arXiv.org.
    12. J. Emeterio Navarro Barrientos & Frank E. Walter & Frank Schweitzer, 2008. "Risk-Seeking versus Risk-Avoiding Investments in Noisy Periodic Environments," Papers 0801.4305, arXiv.org, revised Sep 2008.
    13. Lavička, H. & Lichard, T. & Novotný, J., 2016. "Sand in the wheels or wheels in the sand? Tobin taxes and market crashes," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 328-342.
    14. Daniel Fricke & Thomas Lux, 2015. "The effects of a financial transaction tax in an artificial financial market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 119-150, April.
    15. Katahira, Kei & Chen, Yu & Hashimoto, Gaku & Okuda, Hiroshi, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 503-518.
    16. Emeterio Navarro & Ruben Cantero & Joao Rodrigues & Frank Schweitzer, 2007. "Investments in Random Environments," Papers 0709.3630, arXiv.org, revised Sep 2008.
    17. Erika Corona & Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "The Interplay Between Two Stock Markets and a Related Foreign Exchange Market: A Simulation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 99-119, September.
    18. Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "Modeling and Simulation of an Artificial Stock Option Market," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 37-53, September.
    19. Marco Raberto & Silvano Cincotti, 2004. "Multi-agent modeling and simulation of a sequential monetary production economy," Computing in Economics and Finance 2004 260, Society for Computational Economics.
    20. Cross, Rod & Grinfeld, Michael & Lamba, Harbir & Seaman, Tim, 2005. "A threshold model of investor psychology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 463-478.
    21. Olivier Brandouy & Philippe Mathieu & Iryna Veryzhenko, 2012. "Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis," Post-Print halshs-02048765, HAL.
    22. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.
    23. Mikhail Goykhman, 2017. "Wealth dynamics in a sentiment-driven market," Papers 1705.07092, arXiv.org.
    24. Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2005. "Time-variation of higher moments in a financial market with heterogeneous agents: An analytical approach," Economics Working Papers 2005-14, Christian-Albrechts-University of Kiel, Department of Economics.
    25. Bàrbara Llacay & Gilbert Peffer, 2018. "Using realistic trading strategies in an agent-based stock market model," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 308-350, September.
    26. Olivier Brandouy & Philippe Mathieu & Iryna Veryzhenko, 2012. "Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis," 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 91-102, Springer.
    27. Qixuan Luo & Yu Shi & Xuan Zhou & Handong Li, 2021. "Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1025-1049, December.
    28. Mannaro, Katiuscia & Marchesi, Michele & Setzu, Alessio, 2008. "Using an artificial financial market for assessing the impact of Tobin-like transaction taxes," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 445-462, August.
    29. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.

  24. M. Raberto & E. Scalas & F. Mainardi, 2002. "Waiting-times and returns in high-frequency financial data: an empirical study," Papers cond-mat/0203596, arXiv.org.

    Cited by:

    1. Scalas, Enrico & Kaizoji, Taisei & Kirchler, Michael & Huber, Jürgen & Tedeschi, Alessandra, 2006. "Waiting times between orders and trades in double-auction markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 463-471.
    2. Enrico Scalas & Rudolf Gorenflo & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2003. "Anomalous waiting times in high-frequency financial data," Papers cond-mat/0310305, arXiv.org.
    3. Scalas, Enrico, 2006. "The application of continuous-time random walks in finance and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 225-239.
    4. Berardi, Luca & Serva, Maurizio, 2005. "Time and foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 403-412.
    5. Greenwood, Priscilla E. & Schick, Anton & Wefelmeyer, Wolfgang, 2011. "Estimating the inter-arrival time density of Markov renewal processes under structural assumptions on the transition distribution," Statistics & Probability Letters, Elsevier, vol. 81(2), pages 277-282, February.
    6. Zhang, Zhikun & Dai, Min & Wang, Xiangjun, 2023. "Statistical inference for mixed jump processes by Markov switching model with application to identify seismicity levels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    7. Guglielmo D'Amico & Filippo Petroni, 2012. "Weighted-indexed semi-Markov models for modeling financial returns," Papers 1205.2551, arXiv.org, revised Jun 2012.
    8. She, Zi-Hang & Qiu, Li-Min & Qu, Wei, 2023. "An unconditionally convergent RSCSCS iteration method for Riesz space fractional diffusion equations with variable coefficients," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 633-646.
    9. Zhi-Qiang Jiang & Wei Chen & Wei-Xing Zhou, 2008. "Scaling in the distribution of intertrade durations of Chinese stocks," Papers 0804.3431, arXiv.org, revised Apr 2008.
    10. José A. Tenreiro Machado & Maria Eugénia Mata & António M. Lopes, 2020. "Fractional Dynamics and Pseudo-Phase Space of Country Economic Processes," Mathematics, MDPI, vol. 8(1), pages 1-17, January.
    11. Raberto, Marco & Cincotti, Silvano, 2005. "Modeling and simulation of a double auction artificial financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 34-45.
    12. Enrico Scalas & Mauro Politi, 2012. "A parsimonious model for intraday European option pricing," Papers 1202.4332, arXiv.org.
    13. Guglielmo D'Amico & Filippo Petroni, 2011. "A semi-Markov model with memory for price changes," Papers 1109.4259, arXiv.org, revised Dec 2011.
    14. Xian, Jun & Yan, Xiong-bin & Wei, Ting, 2020. "Simultaneous identification of three parameters in a time-fractional diffusion-wave equation by a part of boundary Cauchy data," Applied Mathematics and Computation, Elsevier, vol. 384(C).
    15. Viktor Stojkoski & Trifce Sandev & Lasko Basnarkov & Ljupco Kocarev & Ralf Metzler, 2020. "Generalised geometric Brownian motion: Theory and applications to option pricing," Papers 2011.00312, arXiv.org.
    16. Cen, Zhongdi & Le, Anbo & Xu, Aimin, 2017. "A robust numerical method for a fractional differential equation," Applied Mathematics and Computation, Elsevier, vol. 315(C), pages 445-452.
    17. Jacopo Staccioli & Mauro Napoletano, 2018. "An agent-based model of intra-day financialmarkets dynamics," SciencePo Working papers Main hal-03471566, HAL.
    18. Meerschaert, Mark M. & Mortensen, Jeff & Wheatcraft, Stephen W., 2006. "Fractional vector calculus for fractional advection–dispersion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 181-190.
    19. Guglielmo D'Amico & Filippo Petroni, 2013. "Multivariate high-frequency financial data via semi-Markov processes," Papers 1305.0436, arXiv.org.
    20. Vasily E. Tarasov & Valentina V. Tarasova, 2019. "Dynamic Keynesian Model of Economic Growth with Memory and Lag," Mathematics, MDPI, vol. 7(2), pages 1-17, February.
    21. Treena Basu, 2015. "A Fast O ( N log N ) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation," Mathematics, MDPI, vol. 3(4), pages 1-13, October.
    22. Schumer, Rina & Baeumer, Boris & Meerschaert, Mark M., 2011. "Extremal behavior of a coupled continuous time random walk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(3), pages 505-511.
    23. Ruan, Yong-Ping & Zhou, Wei-Xing, 2011. "Long-term correlations and multifractal nature in the intertrade durations of a liquid Chinese stock and its warrant," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1646-1654.
    24. Jaros{l}aw Klamut & Tomasz Gubiec, 2018. "Directed Continuous-Time Random Walk with memory," Papers 1807.01934, arXiv.org.
    25. Yang, Fan & Fu, Chu-Li & Li, Xiao-Xiao, 2018. "The method of simplified Tikhonov regularization for a time-fractional inverse diffusion problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 144(C), pages 219-234.
    26. Jiang, Zhi-Qiang & Chen, Wei & Zhou, Wei-Xing, 2009. "Detrended fluctuation analysis of intertrade durations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(4), pages 433-440.
    27. Lin Zhu, 2019. "A Second-Order Uniformly Stable Explicit Asymmetric Discretization Method for One-Dimensional Fractional Diffusion Equations," Complexity, Hindawi, vol. 2019, pages 1-12, May.
    28. Masoliver, Jaume & Montero, Miquel & Perello, Josep & Weiss, George H., 2006. "The continuous time random walk formalism in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 577-598, December.
    29. Straka, P. & Henry, B.I., 2011. "Lagging and leading coupled continuous time random walks, renewal times and their joint limits," Stochastic Processes and their Applications, Elsevier, vol. 121(2), pages 324-336, February.
    30. Yang, Hong & Lao, Cheng-Xue & She, Zi-Hang, 2023. "Fast solution methods for Riesz space fractional diffusion equations with non-separable coefficients," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    31. Owolabi, Kolade M. & Gómez-Aguilar, J.F., 2018. "Numerical simulations of multilingual competition dynamics with nonlocal derivative," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 175-182.
    32. Yonggang Chen & Yu Qiao & Xiangtuan Xiong, 2022. "Regularization Error Analysis for a Sideways Problem of the 2D Nonhomogeneous Time-Fractional Diffusion Equation," Mathematics, MDPI, vol. 10(10), pages 1-14, May.
    33. Bernardo Spagnolo & Davide Valenti, 2008. "Volatility Effects on the Escape Time in Financial Market Models," Papers 0810.1625, arXiv.org.
    34. Meerschaert, Mark M. & Scheffler, Hans-Peter, 2008. "Triangular array limits for continuous time random walks," Stochastic Processes and their Applications, Elsevier, vol. 118(9), pages 1606-1633, September.
    35. Enrico Scalas, 2006. "Five Years of Continuous-time Random Walks in Econophysics," Lecture Notes in Economics and Mathematical Systems, in: Akira Namatame & Taisei Kaizouji & Yuuji Aruka (ed.), The Complex Networks of Economic Interactions, pages 3-16, Springer.
    36. Cappellini, Alessandro & Ferraris, Gianluigi, 2007. "Waiting Times in Simulated Stock Markets," MPRA Paper 7324, University Library of Munich, Germany.
    37. Valentina V. Tarasova & Vasily E. Tarasov, 2017. "Dynamic intersectoral models with power-law memory," Papers 1712.09087, arXiv.org.
    38. Langlands, T.A.M., 2006. "Solution of a modified fractional diffusion equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 136-144.
    39. Zhang, Z.Q. & Wei, T., 2013. "An optimal regularization method for space-fractional backward diffusion problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 92(C), pages 14-27.
    40. Hamid, M. & Usman, M. & Haq, R.U. & Wang, W., 2020. "A Chelyshkov polynomial based algorithm to analyze the transport dynamics and anomalous diffusion in fractional model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    41. Repetowicz, Przemysław & Richmond, Peter, 2004. "Modeling of waiting times and price changes in currency exchange data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 677-693.
    42. Liu, Haiyu & Lü, Shujuan, 2019. "Galerkin spectral method for nonlinear time fractional Cable equation with smooth and nonsmooth solutions," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 32-47.
    43. Alqhtani, Manal & Owolabi, Kolade M. & Saad, Khaled M. & Pindza, Edson, 2022. "Efficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biology," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    44. G. D'Amico & F. Petroni & F. Prattico, 2013. "Semi-Markov Models in High Frequency Finance: A Review," Papers 1312.3894, arXiv.org.
    45. Scalas, Enrico, 2007. "Mixtures of compound Poisson processes as models of tick-by-tick financial data," Chaos, Solitons & Fractals, Elsevier, vol. 34(1), pages 33-40.
    46. Xiao-Hui Ni & Zhi-Qiang Jiang & Gao-Feng Gu & Fei Ren & Wei Chen & Wei-Xing Zhou, 2009. "Scaling and memory in the non-poisson process of limit order cancelation," Papers 0911.0057, arXiv.org.
    47. Mark M. Meerschaert & Enrico Scalas, 2006. "Coupled continuous time random walks in finance," Papers physics/0608281, arXiv.org.
    48. Wael W. Mohammed & Mohammed Alshammari & Clemente Cesarano & Sultan Albadrani & M. El-Morshedy, 2022. "Brownian Motion Effects on the Stabilization of Stochastic Solutions to Fractional Diffusion Equations with Polynomials," Mathematics, MDPI, vol. 10(9), pages 1-9, April.
    49. D’Amico, Guglielmo & Janssen, Jacques & Manca, Raimondo, 2009. "European and American options: The semi-Markov case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3181-3194.
    50. Wael W. Mohammed & Naveed Iqbal & Thongchai Botmart, 2022. "Additive Noise Effects on the Stabilization of Fractional-Space Diffusion Equation Solutions," Mathematics, MDPI, vol. 10(1), pages 1-14, January.
    51. Taohua Liu & Xiucao Yin & Yinghao Chen & Muzhou Hou, 2023. "A Second-Order Accurate Numerical Approximation for a Two-Sided Space-Fractional Diffusion Equation," Mathematics, MDPI, vol. 11(8), pages 1-15, April.
    52. Shapoval, A., 2010. "Prediction problem for target events based on the inter-event waiting time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5145-5154.
    53. Torricelli, Lorenzo, 2020. "Trade duration risk in subdiffusive financial models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    54. Valentina V. Tarasova & Vasily E. Tarasov, 2017. "Concept of dynamic memory in economics," Papers 1712.09088, arXiv.org.
    55. Xing, Zhiyong & Wen, Liping, 2019. "Numerical analysis and fast implementation of a fourth-order difference scheme for two-dimensional space-fractional diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 155-166.
    56. Amin, Rohul & Ahmad, Hijaz & Shah, Kamal & Bilal Hafeez, M. & Sumelka, W., 2021. "Theoretical and computational analysis of nonlinear fractional integro-differential equations via collocation method," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    57. Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2021. "Market and Liquidity Risks Using Transaction-by-Transaction Information," Mathematics, MDPI, vol. 9(14), pages 1-14, July.
    58. Zeid, Samaneh Soradi, 2019. "Approximation methods for solving fractional equations," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 171-193.
    59. Zhang, Hui & Jiang, Xiaoyun & Yang, Xiu, 2018. "A time-space spectral method for the time-space fractional Fokker–Planck equation and its inverse problem," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 302-318.
    60. Vasily E. Tarasov, 2019. "On History of Mathematical Economics: Application of Fractional Calculus," Mathematics, MDPI, vol. 7(6), pages 1-28, June.
    61. Scalas, Enrico & Viles, Noèlia, 2014. "A functional limit theorem for stochastic integrals driven by a time-changed symmetric α-stable Lévy process," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 385-410.
    62. Przemyslaw Repetowicz & Peter Richmond, 2004. "Pricing of options on stocks driven by multi-dimensional operator stable Levy processes," Papers math-ph/0412071, arXiv.org, revised Feb 2005.
    63. Feng, L.B. & Zhuang, P. & Liu, F. & Turner, I., 2015. "Stability and convergence of a new finite volume method for a two-sided space-fractional diffusion equation," Applied Mathematics and Computation, Elsevier, vol. 257(C), pages 52-65.
    64. Ren, Jincheng & Sun, Zhi-zhong, 2015. "Maximum norm error analysis of difference schemes for fractional diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 299-314.
    65. Wael W. Mohammed & Meshari Alesemi & Sahar Albosaily & Naveed Iqbal & M. El-Morshedy, 2021. "The Exact Solutions of Stochastic Fractional-Space Kuramoto-Sivashinsky Equation by Using ( G ? G )-Expansion Method," Mathematics, MDPI, vol. 9(21), pages 1-10, October.
    66. Qu, Wei & Li, Zhi, 2021. "Fast direct solver for CN-ADI-FV scheme to two-dimensional Riesz space-fractional diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    67. Tarasov, Vasily E., 2020. "Fractional econophysics: Market price dynamics with memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    68. Linda Ponta & Mailan Trinh & Marco Raberto & Enrico Scalas & Silvano Cincotti, 2012. "Modeling non-stationarities in high-frequency financial time series," Papers 1212.0479, arXiv.org, revised Feb 2017.
    69. Guglielmo D'Amico & Filippo Petroni, 2020. "A micro-to-macro approach to returns, volumes and waiting times," Papers 2007.06262, arXiv.org.
    70. Plamen Ch Ivanov & Ainslie Yuen & Pandelis Perakakis, 2014. "Impact of Stock Market Structure on Intertrade Time and Price Dynamics," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-14, April.

  25. Marco Raberto & Silvano Cincotti & Sergio M. Focardi & Michele Marchesi, 2001. "Agent-based simulation of a financial market," Papers cond-mat/0103600, arXiv.org, revised Mar 2001.

    Cited by:

    1. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
    2. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Enrico Scalas & Rudolf Gorenflo & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2003. "Anomalous waiting times in high-frequency financial data," Papers cond-mat/0310305, arXiv.org.
    4. Samanidou, Egle & Zschischang, Elmar & Stauffer, Dietrich & Lux, Thomas, 2006. "Microscopic models of financial markets," Economics Working Papers 2006-15, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Scalas, Enrico, 2006. "The application of continuous-time random walks in finance and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 225-239.
    6. Carl Chiarella & Giulia Iori & Josep Perello, 2007. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Papers 0711.3581, arXiv.org.
    7. Thiago W. Alves & Ionuţ Florescu & Dragoş Bozdog, 2023. "Insights on the Statistics and Market Behavior of Frequent Batch Auctions," Mathematics, MDPI, vol. 11(5), pages 1-26, March.
    8. Luisanna Cocco & Giulio Concas & Michele Marchesi, 2017. "Using an artificial financial market for studying a cryptocurrency market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 345-365, July.
    9. Noemi Schmitt & Frank Westerhoff, 2017. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1041-1070, November.
    10. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2015. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 1-25.
    11. Shu-Peng Chen & Ling-Yun He, 2013. "Bubble Formation and Heterogeneity of Traders: A Multi-Agent Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 267-289, October.
    12. Song-min Yu & Lei Zhu, 2017. "Impact of Firms’ Observation Network on the Carbon Market," Energies, MDPI, vol. 10(8), pages 1-14, August.
    13. Bruno Beaufils & Olivier Brandouy & Julien Derveeuw & Philippe Mathieu, 2007. "Testing double auction as a component within a generic market model architecture," Post-Print hal-00826143, HAL.
    14. Isao Yagi & Yuji Masuda & Takanobu Mizuta, 2020. "Analysis of the Impact of High-Frequency Trading on Artificial Market Liquidity," Papers 2010.13038, arXiv.org.
    15. Manahov, Viktor & Urquhart, Andrew, 2021. "The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    16. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.
    17. Krause, Andreas, 2006. "Fat tails and multi-scaling in a simple model of limit order markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 183-190.
    18. Xiao-Yang Liu & Jingyang Rui & Jiechao Gao & Liuqing Yang & Hongyang Yang & Zhaoran Wang & Christina Dan Wang & Jian Guo, 2021. "FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance," Papers 2112.06753, arXiv.org, revised Mar 2022.
    19. Raberto, Marco & Cincotti, Silvano, 2005. "Modeling and simulation of a double auction artificial financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 34-45.
    20. Brian Sallans & Alexander Pfister & Alexandros Karatzoglou & Georg Dorffner, 2003. "Simulation and Validation of an Integrated Markets Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(4), pages 1-2.
    21. Goykhman, Mikhail, 2017. "Wealth dynamics in a sentiment-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 488(C), pages 132-148.
    22. Kirchler, Michael & Huber, Jurgen, 2007. "Fat tails and volatility clustering in experimental asset markets," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1844-1874, June.
    23. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    24. Guharay, Samar K. & Thakur, Gaurav S. & Goodman, Fred J. & Rosen, Scott L. & Houser, Daniel, 2013. "Analysis of non-stationary dynamics in the financial system," Economics Letters, Elsevier, vol. 121(3), pages 454-457.
    25. Kei Katahira & Yu Chen & Gaku Hashimoto & Hiroshi Okuda, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Papers 1902.02040, arXiv.org.
    26. Kirchler, Michael & Huber, Jürgen, 2009. "An exploration of commonly observed stylized facts with data from experimental asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1631-1658.
    27. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2018. "Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach," Post-Print hal-02114928, HAL.
    28. Jiahua Wang & Hongliang Zhu & Dongxin Li, 2018. "Price Dynamics in an Order-Driven Market with Bayesian Learning," Complexity, Hindawi, vol. 2018, pages 1-15, November.
    29. Pietro DeLellis & Anna DiMeglio & Franco Garofalo & Francesco Lo Iudice, 2017. "The evolving cobweb of relations among partially rational investors," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-21, February.
    30. James Primbs & Muruhan Rathinam, 2009. "Trader Behavior and its Effect on Asset Price Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 151-181.
    31. Venelina Nikolova & Juan E. Trinidad Segovia & Manuel Fernández-Martínez & Miguel Angel Sánchez-Granero, 2020. "A Novel Methodology to Calculate the Probability of Volatility Clusters in Financial Series: An Application to Cryptocurrency Markets," Mathematics, MDPI, vol. 8(8), pages 1-15, July.
    32. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    33. A. Zaccaria & M. Cristelli & V. Alfi & F. Ciulla & L. Pietronero, 2009. "Asymmetric statistics of order books: The role of discreteness and evidence for strategic order placement," Papers 0906.1387, arXiv.org, revised May 2010.
    34. Alessio Emanuele Biondo, 2019. "Order book modeling and financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 469-489, September.
    35. Lazebnik, Teddy, 2023. "Computational applications of extended SIR models: A review focused on airborne pandemics," Ecological Modelling, Elsevier, vol. 483(C).
    36. 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.
    37. Mathieu, Philippe & Morvan, Rémi, 2019. "A deterministic behaviour for realistic price dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 33-49.
    38. Marco LiCalzi & Paolo Pellizzari, 2002. "Fundamentalists Clashing over the Book: A Study of Order-Driven Stock Markets," Computational Economics 0207001, University Library of Munich, Germany, revised 04 Mar 2003.
    39. LiCalzi, Marco & Pellizzari, Paolo, 2006. "Breeds of risk-adjusted fundamentalist strategies in an order-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 619-633.
    40. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    41. Sojung Kim & Yeona Choi & Sumin Kim, 2023. "Simulation Modeling in Supply Chain Management Research of Ethanol: A Review," Energies, MDPI, vol. 16(21), pages 1-13, November.
    42. Katahira, Kei & Chen, Yu & Hashimoto, Gaku & Okuda, Hiroshi, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 503-518.
    43. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    44. Marco Bartolozzi, 2010. "A Multi Agent Model for the Limit Order Book Dynamics," Papers 1005.0182, arXiv.org, revised Oct 2010.
    45. Erika Corona & Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "The Interplay Between Two Stock Markets and a Related Foreign Exchange Market: A Simulation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 99-119, September.
    46. Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "Modeling and Simulation of an Artificial Stock Option Market," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 37-53, September.
    47. Marco Raberto & Silvano Cincotti & Sergio Focardi & Michele Marchesi, 2003. "Traders' Long-Run Wealth in an Artificial Financial Market," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 255-272, October.
    48. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
    49. Iwao Maeda & David deGraw & Michiharu Kitano & Hiroyasu Matsushima & Kiyoshi Izumi & Hiroki Sakaji & Atsuo Kato, 2020. "Latent Segmentation of Stock Trading Strategies Using Multi-Modal Imitation Learning," JRFM, MDPI, vol. 13(11), pages 1-12, October.
    50. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    51. Егорова Людмила Геннадьевна, 2014. "Эффективность Торговых Стратегий Мелких Трейдеров," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 5, pages 34-41.
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    90. Hajipour, Ahamad & Hajipour, Mojtaba & Baleanu, Dumitru, 2018. "On the adaptive sliding mode controller for a hyperchaotic fractional-order financial system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 139-153.
    91. Zhang, Jingyuan, 2018. "A stable explicitly solvable numerical method for the Riesz fractional advection–dispersion equations," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 209-227.
    92. Shi, Dongyang & Yang, Huaijun, 2018. "Superconvergence analysis of finite element method for time-fractional Thermistor problem," Applied Mathematics and Computation, Elsevier, vol. 323(C), pages 31-42.
    93. Marseguerra, M. & Zoia, A., 2008. "Monte Carlo evaluation of FADE approach to anomalous kinetics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(4), pages 345-357.
    94. Torricelli, Lorenzo, 2020. "Trade duration risk in subdiffusive financial models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    95. David, S.A. & Machado, J.A.T. & Quintino, D.D. & Balthazar, J.M., 2016. "Partial chaos suppression in a fractional order macroeconomic model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 122(C), pages 55-68.
    96. Valentina V. Tarasova & Vasily E. Tarasov, 2017. "Concept of dynamic memory in economics," Papers 1712.09088, arXiv.org.
    97. Zhenping Li & Xiangtuan Xiong & Qiang Cheng, 2022. "Identifying the Unknown Source in Linear Parabolic Equation by a Convoluting Equation Method," Mathematics, MDPI, vol. 10(13), pages 1-17, June.
    98. Amine, Saida & Hajri, Youssra & Allali, Karam, 2022. "A delayed fractional-order tumor virotherapy model: Stability and Hopf bifurcation," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    99. Marcin Wk{a}torek & Jaros{l}aw Kwapie'n & Stanis{l}aw Dro.zd.z, 2022. "Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time," Papers 2208.01445, arXiv.org.
    100. Tomas Skovranek, 2019. "The Mittag-Leffler Fitting of the Phillips Curve," Mathematics, MDPI, vol. 7(7), pages 1-11, July.
    101. Eric Guerci & Enrico Scalas & Mauro Gallegati & David Mas & Alessandra Tedeschi, 2006. "Growth and allocation of resources in economics: The agent-based approach," Post-Print halshs-00871047, HAL.
    102. Fabio Vanni & David Lambert, 2024. "Aging Renewal Point Processes and Exchangeability of Event Times," Mathematics, MDPI, vol. 12(10), pages 1-26, May.
    103. Foad Shokrollahi, 2016. "Subdiffusive fractional Brownian motion regime for pricing currency options under transaction costs," Papers 1612.06665, arXiv.org, revised Aug 2017.
    104. Masanao Aoki, 2006. "Patterns of Non-exponential Growth of Macroeconomic Models: Two-parameter Poisson-Dirichlet Models (Forthcoming in "Rivista Internazionale di Scienze Sociali", cxv No.1, pp. 109-125, 2007. )," CARF F-Series CARF-F-085, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    105. Salehi, Younes & Darvishi, Mohammad T. & Schiesser, William E., 2018. "Numerical solution of space fractional diffusion equation by the method of lines and splines," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 465-480.
    106. Kuroda, Koji & Murai, Joshin, 2007. "Limit theorems in financial market models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 28-34.
    107. Marseguerra, Marzio & Zoia, Andrea, 2008. "Pre-asymptotic corrections to fractional diffusion equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2668-2674.
    108. Samir A. El-Tantawy & Rasool Shah & Albandari W. Alrowaily & Nehad Ali Shah & Jae Dong Chung & Sherif. M. E. Ismaeel, 2023. "A Comparative Study of the Fractional-Order Belousov–Zhabotinsky System," Mathematics, MDPI, vol. 11(7), pages 1-15, April.
    109. Nandal, Sarita & Narain Pandey, Dwijendra, 2020. "Numerical solution of non-linear fourth order fractional sub-diffusion wave equation with time delay," Applied Mathematics and Computation, Elsevier, vol. 369(C).
    110. Vasily E. Tarasov, 2019. "On History of Mathematical Economics: Application of Fractional Calculus," Mathematics, MDPI, vol. 7(6), pages 1-28, June.
    111. D’Amico, Guglielmo & Petroni, Filippo, 2018. "Copula based multivariate semi-Markov models with applications in high-frequency finance," European Journal of Operational Research, Elsevier, vol. 267(2), pages 765-777.
    112. Hosseininia, M. & Heydari, M.H., 2019. "Legendre wavelets for the numerical solution of nonlinear variable-order time fractional 2D reaction-diffusion equation involving Mittag–Leffler non-singular kernel," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 400-407.
    113. Marseguerra, M. & Zoia, A., 2007. "Some insights in superdiffusive transport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 1-14.
    114. Barbieri, Davide & Vivoli, Alessandro, 2005. "Long-range correlations in time series generated by time-fractional diffusion: A numerical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 190-198.
    115. Scalas, Enrico & Viles, Noèlia, 2014. "A functional limit theorem for stochastic integrals driven by a time-changed symmetric α-stable Lévy process," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 385-410.
    116. Valentina V. Tarasova & Vasily E. Tarasov, 2016. "Economic Accelerator with Memory: Discrete Time Approach," Papers 1612.07913, arXiv.org, revised Jul 2017.
    117. Valentina V. Tarasova & Vasily E. Tarasov, 2017. "Logistic map with memory from economic model," Papers 1712.09092, arXiv.org.
    118. Habyarimana, Cassien & Aduda, Jane A. & Scalas, Enrico & Chen, Jing & Hawkes, Alan G. & Polito, Federico, 2023. "A fractional Hawkes process II: Further characterization of the process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    119. Piryatinska, A. & Saichev, A.I. & Woyczynski, W.A., 2005. "Models of anomalous diffusion: the subdiffusive case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 375-420.
    120. Jorge E. Macías-Díaz, 2019. "Numerically Efficient Methods for Variational Fractional Wave Equations: An Explicit Four-Step Scheme," Mathematics, MDPI, vol. 7(11), pages 1-27, November.
    121. Afzaal Mubashir Hayat & Muhammad Bilal Riaz & Muhammad Abbas & Moataz Alosaimi & Adil Jhangeer & Tahir Nazir, 2024. "Numerical Solution to the Time-Fractional Burgers–Huxley Equation Involving the Mittag-Leffler Function," Mathematics, MDPI, vol. 12(13), pages 1-22, July.
    122. Feng, L.B. & Zhuang, P. & Liu, F. & Turner, I., 2015. "Stability and convergence of a new finite volume method for a two-sided space-fractional diffusion equation," Applied Mathematics and Computation, Elsevier, vol. 257(C), pages 52-65.
    123. Ren, Jincheng & Sun, Zhi-zhong, 2015. "Maximum norm error analysis of difference schemes for fractional diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 299-314.
    124. Svenkeson, A. & Beig, M.T. & Turalska, M. & West, B.J. & Grigolini, P., 2013. "Fractional trajectories: Decorrelation versus friction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5663-5672.
    125. Saberi Zafarghandi, Fahimeh & Mohammadi, Maryam & Babolian, Esmail & Javadi, Shahnam, 2019. "Radial basis functions method for solving the fractional diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 342(C), pages 224-246.
    126. Marseguerra, M. & Zoia, A., 2007. "Monte Carlo investigation of anomalous transport in presence of a discontinuity and of an advection field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 448-464.
    127. Tarasov, Vasily E., 2020. "Fractional econophysics: Market price dynamics with memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    128. Linda Ponta & Mailan Trinh & Marco Raberto & Enrico Scalas & Silvano Cincotti, 2012. "Modeling non-stationarities in high-frequency financial time series," Papers 1212.0479, arXiv.org, revised Feb 2017.
    129. Guglielmo D'Amico & Filippo Petroni, 2020. "A micro-to-macro approach to returns, volumes and waiting times," Papers 2007.06262, arXiv.org.
    130. Plamen Ch Ivanov & Ainslie Yuen & Pandelis Perakakis, 2014. "Impact of Stock Market Structure on Intertrade Time and Price Dynamics," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-14, April.

  27. M. Raberto & G. Cuniberti & E. Scalas & M. Riani & F. Mainardi & G. Servizi, 2000. "Learning short-option valuation in the presence of rare events," Papers cond-mat/0001253, arXiv.org.

    Cited by:

    1. Johannes Ruf & Weiguan Wang, 2019. "Neural networks for option pricing and hedging: a literature review," Papers 1911.05620, arXiv.org, revised May 2020.

  28. Marco Raberto & Enrico Scalas & Rudolf Gorenflo & Francesco Mainardi, 2000. "The waiting-time distribution of LIFFE bond futures," Papers cond-mat/0012497, arXiv.org.

    Cited by:

    1. Kaizoji, Taisei & Kaizoji, Michiyo, 2004. "Power law for the calm-time interval of price changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 563-570.

  29. Gianaurelio Cuniberti & Marco Raberto & Enrico Scalas, 1999. "Correlations in the Bond-Future Market," Papers cond-mat/9903220, arXiv.org.

    Cited by:

    1. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    2. Zheng, Zhiyong & Lu, Yunfan & Zhang, Junhuan, 2022. "Multiscale complexity fluctuation behaviours of stochastic interacting cryptocurrency price model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).

  30. Marco Raberto & Enrico Scalas & Gianaurelio Cuniberti & Massimo Riani, 1999. "Volatility in the Italian Stock Market: an Empirical Study," Papers cond-mat/9903221, arXiv.org.

    Cited by:

    1. Enrico Scalas & Rudolf Gorenflo & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2003. "Anomalous waiting times in high-frequency financial data," Papers cond-mat/0310305, arXiv.org.
    2. Lemmens, D. & Liang, L.Z.J. & Tempere, J. & De Schepper, A., 2010. "Pricing bounds for discrete arithmetic Asian options under Lévy models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5193-5207.
    3. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.
    4. Choi, Sun-Yong, 2020. "Industry volatility and economic uncertainty due to the COVID-19 pandemic: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 37(C).
    5. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A general equilibrium model of a production economy with asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 75-80.
    6. Zhuang, Xin-tian & Huang, Xiao-yuan & Sha, Yan-li, 2004. "Research on the fractal structure in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 293-305.

Articles

  1. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).

    Cited by:

    1. Emanuele Ciola & Enrico M. Turco & Massimiliano Rizzati & Davide Bazzana & Sergio Vergalli, 2024. "Taking the green pill: Macro-financial transition risks and policy challenges in the MATRIX model," Working Papers 2024.27, Fondazione Eni Enrico Mattei.

  2. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).

    Cited by:

    1. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    2. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    3. Dragomirescu-Gaina, Catalin & Fassas, Athanasios P. & Philippas, Dionisis, 2024. "A Chinese clout on energy exports some countries cannot shake off," Energy Economics, Elsevier, vol. 134(C).

  3. Dunz, Nepomuk & Hrast Essenfelder, Arthur & Mazzocchetti, Andrea & Monasterolo, Irene & Raberto, Marco, 2023. "Compounding COVID-19 and climate risks: The interplay of banks’ lending and government’s policy in the shock recovery," Journal of Banking & Finance, Elsevier, vol. 152(C).

    Cited by:

    1. Chen, Xiaohui & Shen, Shaowei, 2024. "Probability causal inference of interest rate fluctuations: Evidence from private credit in emerging markets," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Celso Brunetti & John Caramichael & Matteo Crosignani & Benjamin Dennis & Gurubala Kotta & Donald P. Morgan & Chaehee Shin & Ilknur Zer, 2022. "Climate-related Financial Stability Risks for the United States: Methods and Applications," Finance and Economics Discussion Series 2022-043, Board of Governors of the Federal Reserve System (U.S.).

  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.

    Cited by:

    1. Fanti, Lucrezia & Pereira, Marcelo C. & Virgillito, Maria Enrica, 2023. "A North-South agent based model of segmented labour markets. The role of education and trade asymmetries," GLO Discussion Paper Series 1268, Global Labor Organization (GLO).
    2. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    3. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    4. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.

  5. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    See citations under working paper version above.
  6. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    See citations under working paper version above.
  7. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    See citations under working paper version above.
  8. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    See citations under working paper version above.
  9. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    See citations under working paper version above.
  10. Monasterolo, Irene & Raberto, Marco, 2019. "The impact of phasing out fossil fuel subsidies on the low-carbon transition," Energy Policy, Elsevier, vol. 124(C), pages 355-370.

    Cited by:

    1. Mansour Al Qubeissi & Ayob Mahmoud & Moustafa Al-Damook & Ali Almshahy & Zinedine Khatir & Hakan Serhad Soyhan & Raja Mazuir Raja Ahsan Shah, 2023. "Comparative Analysis of Battery Thermal Management System Using Biodiesel Fuels," Energies, MDPI, vol. 16(1), pages 1-19, January.
    2. Wang, Xueyang & Sun, Xiumei & Ahmad, Mahmood & Chen, Jiawei, 2024. "Energy transition, ecological governance, globalization, and environmental sustainability: Insights from the top ten emitting countries," Energy, Elsevier, vol. 292(C).
    3. Alfredo Marvão Pereira & Rui Marvão Pereira, 2023. "Energy Taxation Reform with an Environmental Focus in Portugal," Energies, MDPI, vol. 16(3), pages 1-23, January.
    4. Fei, Chengcheng J. & Kung, Chih-Chun, 2024. "The effects of tiered-electrical-subsidy policy on biopower development," Energy Policy, Elsevier, vol. 193(C).
    5. Andrea Marcello Bassi & Georg Pallaske & Richard Bridle & Kavya Bajaj, 2023. "Emission Reduction via Fossil Fuel Subsidy Removal and Carbon Pricing, Creating Synergies with Revenue Recycling," World, MDPI, vol. 4(2), pages 1-16, April.
    6. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability: A post-Keynesian perspective," Working Papers PKWP1912, Post Keynesian Economics Society (PKES).
    7. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2019. "Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach," Ecological Economic Papers 23, WU Vienna University of Economics and Business.
    8. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "Impact of government subsidy on the optimal R&D and advertising investment in the cooperative supply chain of new energy vehicles," Energy Policy, Elsevier, vol. 164(C).
    9. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    10. Mertzanis, Charilaos, 2023. "Energy policy diversity and green bond issuance around the world," Energy Economics, Elsevier, vol. 128(C).
    11. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    12. Shittu, Ibrahim & Abdul Latiff, Abdul Rais & Baharudin, Siti ‘Aisyah, 2024. "Assessing the compensation and reinvestment plans for fuel subsidy rationalization in Nigeria: A dynamic computable general equilibrium approach," Energy, Elsevier, vol. 293(C).
    13. Lei Su & Wenjiao Yu & Zhongxuan Zhou, 2023. "Global Trends of Carbon Finance: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    14. Kung, Chih-Chun & Lan, Xiaolong & Yang, Yunxia & Kung, Shan-Shan & Chang, Meng-Shiuh, 2022. "Effects of green bonds on Taiwan's bioenergy development," Energy, Elsevier, vol. 238(PA).
    15. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2022. "The dimension of green economy: Culture viewpoint," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 122-138.
    16. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
    17. Gourdel, Régis & Monasterolo, Irene & Dunz, Nepomuk & Mazzocchetti, Andrea & Parisi, Laura, 2022. "The double materiality of climate physical and transition risks in the euro area," Working Paper Series 2665, European Central Bank.
    18. Lee, Chien-Chiang & Ho, Shan-Ju, 2022. "Impacts of export diversification on energy intensity, renewable energy, and waste energy in 121 countries: Do environmental regulations matter?," Renewable Energy, Elsevier, vol. 199(C), pages 1510-1522.
    19. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    20. Naz, Farah & Tanveer, Arifa & Karim, Sitara & Dowling, Michael, 2024. "The decoupling dilemma: Examining economic growth and carbon emissions in emerging economic blocs," Energy Economics, Elsevier, vol. 138(C).
    21. Teuku Naraski Zahari & Benjamin C. McLellan, 2023. "Review of Policies for Indonesia’s Electricity Sector Transition and Qualitative Evaluation of Impacts and Influences Using a Conceptual Dynamic Model," Energies, MDPI, vol. 16(8), pages 1-22, April.
    22. Wenbing Luo & Ziyan Tian & Shihu Zhong & Qinke Lyu & Mingjun Deng, 2022. "Global Evolution of Research on Sustainable Finance from 2000 to 2021: A Bibliometric Analysis on WoS Database," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    23. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    24. Irene Monasterolo, 2020. "Embedding Finance in the Macroeconomics of Climate Change: Research Challenges and Opportunities Ahead," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(04), pages 25-32, November.
    25. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2023. "Fossil fuels subsidy removal and the EU carbon neutrality policy," Energy Economics, Elsevier, vol. 119(C).
    26. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    27. Yan, Shuli & Wang, Jingyuan & Wu, Liangpeng, 2024. "Dynamics of green transition based on stock-flow consistent model considering compound risks," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 530-553.
    28. Shittu, Ibrahim & Abdul Latiff, Abdul Rais & Baharudin, Siti ‘Aisyah & Mohd, Saidatulakmal, 2024. "Economy-wide impact of targeting and repurposing fossil fuel subsidies in Malaysia," Energy Policy, Elsevier, vol. 195(C).
    29. Matallah, Siham & Boudaoud, Souhila & Matallah, Amal & Ferhaoui, Mustapha, 2023. "The role of fossil fuel subsidies in preventing a jump-start on the transition to renewable energy: Empirical evidence from Algeria," Resources Policy, Elsevier, vol. 86(PB).
    30. Yang, Chuxiao & Hao, Yu & Irfan, Muhammad, 2021. "Energy consumption structural adjustment and carbon neutrality in the post-COVID-19 era," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 442-453.
    31. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    32. Dafermos, Yannis & Nikolaidi, Maria, 2022. "Assessing climate policies: an ecological stock–flow consistent perspective," Greenwich Papers in Political Economy 38039, University of Greenwich, Greenwich Political Economy Research Centre.
    33. Wheeler,Collette Mari & Baffes,John & Kabundi,Alain Ntumba & Kindberg-Hanlon,Gene & Nagle,Peter Stephen Oliver & Ohnsorge,Franziska Lieselotte, 2020. "Adding Fuel to the Fire : Cheap Oil during the COVID-19 Pandemic," Policy Research Working Paper Series 9320, The World Bank.
    34. Naqvi, Asjad & Monasterolo, Irene, 2019. "Natural Disasters, Cascading Losses, and Economic Complexity: A Multi-layer Behavioral Network Approach," Ecological Economic Papers 24, WU Vienna University of Economics and Business.
    35. Liu, Yong, 2019. "Enacting a low-carbon economy: Policies and distrust between government employees and enterprises in China," Energy Policy, Elsevier, vol. 130(C), pages 130-138.
    36. Henrique Oliveira & Víctor Moutinho, 2021. "Renewable Energy, Economic Growth and Economic Development Nexus: A Bibliometric Analysis," Energies, MDPI, vol. 14(15), pages 1-28, July.
    37. Katarzyna Kocur-Bera & Szymon Czyża, 2023. "Socio-Economic Vulnerability to Climate Change in Rural Areas in the Context of Green Energy Development—A Study of the Great Masurian Lakes Mesoregion," IJERPH, MDPI, vol. 20(3), pages 1-24, February.
    38. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    39. Timilsina, Govinda R. & Deluque Curiel, Ilka Fabiana, 2023. "Subsidy removal, regional trade and CO2 mitigation in the electricity sector in the Middle East and North Africa region," Energy Policy, Elsevier, vol. 177(C).
    40. Aryanpur, Vahid & Fattahi, Mahshid & Mamipour, Siab & Ghahremani, Mahsa & Gallachóir, Brian Ó & Bazilian, Morgan D. & Glynn, James, 2022. "How energy subsidy reform can drive the Iranian power sector towards a low-carbon future," Energy Policy, Elsevier, vol. 169(C).
    41. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    42. Dunz, Nepomuk & Hrast Essenfelder, Arthur & Mazzocchetti, Andrea & Monasterolo, Irene & Raberto, Marco, 2023. "Compounding COVID-19 and climate risks: The interplay of banks’ lending and government’s policy in the shock recovery," Journal of Banking & Finance, Elsevier, vol. 152(C).
    43. Saeed Solaymani, 2021. "Energy subsidy reform evaluation research – reviews in Iran," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(3), pages 520-538, June.

  11. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.

    Cited by:

    1. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    2. Phillip Anthony O’Hara, 2021. "Objectives of the Review of Evolutionary Political Economy’s ‘Manifesto’ and editorial proposals on world problems, complex systems, historico-institutional and corruption issues," Review of Evolutionary Political Economy, Springer, vol. 2(2), pages 359-387, July.
    3. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    4. Mertzanis, Charilaos, 2024. "Central bank policies and green bond issuance on a global scale," Energy Economics, Elsevier, vol. 133(C).
    5. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    6. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    7. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2022. "The dimension of green economy: Culture viewpoint," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 122-138.
    8. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    9. Nieddu, Marcello & Raberto, Marco & Ponta, Linda & Teglio, Andrea & Cincotti, Silvano, 2024. "Evaluating policy mix strategies for the energy transition using an agent-based macroeconomic model," Energy Policy, Elsevier, vol. 193(C).
    10. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    11. Thomas Baldauf & Patrick Jochem, 2024. "Project finance or corporate finance for renewable energy? an agent-based insight," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 759-805, October.
    12. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Sharma, Gagan Deep & Shahbaz, Muhammad & Singh, Sanjeet & Chopra, Ritika & Cifuentes-Faura, Javier, 2023. "Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States," Resources Policy, Elsevier, vol. 80(C).
    14. Luis Álvaro Gallardo Eraso & Rafael Andrés Barrera Gutiérrez & Clarena Muñoz Dagua, 2024. "Dinero: Un análisis de Smith y Hume desde la metáfora como instrumento cognitivo [Money: An analysis of Smith and Hume from the metaphor as a cognitive Instrument]," Iberian Journal of the History of Economic Thought, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Dpto. Historia e Instituciones Económicas I., vol. 11(1), pages 43-54.
    15. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    16. Louis Daumas, 2021. "Should we fear transition risks - A review of the applied literature," Working Papers 2021.05, FAERE - French Association of Environmental and Resource Economists.
    17. Huang, Xiaobing & Xie, Jiawei, 2024. "Impact of green credit policies on the global value chain position of heavy polluting enterprises," Energy Policy, Elsevier, vol. 192(C).
    18. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    19. He, Junming & Iqbal, Wasim & Su, Fangli, 2023. "Nexus between renewable energy investment, green finance, and sustainable development: Role of industrial structure and technical innovations," Renewable Energy, Elsevier, vol. 210(C), pages 715-724.
    20. Aghilasse Kashi & Mohamed Eskandar Shah, 2023. "Bibliometric Review on Sustainable Finance," Sustainability, MDPI, vol. 15(9), pages 1-30, April.
    21. Ingrid Kubin & Thomas O. Zoerner, 2024. "Financial and fiscal environmental regulation in a credit cycle model," Department of Economics Working Papers wuwp373, Vienna University of Economics and Business, Department of Economics.
    22. Davidescu, Adriana AnaMaria & Popovici, Oana Cristina & Strat, Vasile Alecsandru, 2022. "Estimating the impact of green ESIF in Romania using input-output model," International Review of Financial Analysis, Elsevier, vol. 84(C).
    23. Qadri, Hussain Mohi ud Din & Ali, Hassnian & Abideen, Zain ul & Jafar, Ahmad, 2024. "Mapping the Evolution of Green Finance Research and Development in Emerging Green Economies," Resources Policy, Elsevier, vol. 91(C).
    24. Wu, Hong, 2023. "Evaluating the role of renewable energy investment resources and green finance on the economic performance: Evidence from OECD economies," Resources Policy, Elsevier, vol. 80(C).
    25. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    26. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    27. Qiuping Chen & Bo Ning & Yue Pan & Jinli Xiao, 2022. "Green finance and outward foreign direct investment: evidence from a quasi-natural experiment of green insurance in China," Asia Pacific Journal of Management, Springer, vol. 39(3), pages 899-924, September.
    28. Juan Yang & Mirza Nasir Jahan Mehdi & Muhammad Hafeez & Md. Abdul Kaium & Raufhon Salahodjaev, 2023. "Financial Indicators’ Performance and Green Financing Projects: A Comparative Study from PSX and NYSX," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    29. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    30. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    31. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    32. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    33. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.

  12. Ponta, Linda & Trinh, Mailan & Raberto, Marco & Scalas, Enrico & Cincotti, Silvano, 2019. "Modeling non-stationarities in high-frequency financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 173-196.
    See citations under working paper version above.
  13. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2019. "Macroeconomic implications of mortgage loan requirements: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 7-46, March.
    See citations under working paper version above.
  14. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.

    Cited by:

    1. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2022. "Environmental regulation and financial stability: Evidence from Chinese manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 136(C).
    3. Jiang, Yonghong & Wang, Jieru & Ao, Zhiming & Wang, Yujou, 2022. "The relationship between green bonds and conventional financial markets: Evidence from quantile-on-quantile and quantile coherence approaches," Economic Modelling, Elsevier, vol. 116(C).
    4. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    5. Xing Zhao & Yifan Guo & Zhen Liu & Anteng Xiu, 2023. "Boosting green recovery: the impact of green fiscal policy on green total factor productivity," Economic Change and Restructuring, Springer, vol. 56(4), pages 2601-2619, August.
    6. Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021. "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    7. Vogl, Markus & Kojić, Milena & Mitić, Petar, 2024. "Dynamics of green and conventional bond markets: Evidence from the generalized chaos analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    8. Sangiorgi, Ivan & Schopohl, Lisa, 2021. "Why do institutional investors buy green bonds: Evidence from a survey of European asset managers," International Review of Financial Analysis, Elsevier, vol. 75(C).
    9. Fazal Ur Rehman & Basheer M. Al-Ghazali & Mohamed Riyazi M. Farook, 2022. "Interplay in Circular Economy Innovation, Business Model Innovation, SDGs, and Government Incentives: A Comparative Analysis of Pakistani, Malaysian, and Chinese SMEs," Sustainability, MDPI, vol. 14(23), pages 1-31, November.
    10. Masciandaro, Donato & Russo, Riccardo, 2024. "Monetary and macroprudential policies: How to Be green? A political-economy approach," Economic Modelling, Elsevier, vol. 141(C).
    11. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," LEM Papers Series 2021/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Hadji-Lazaro, Paul, 2025. "Environmental responsibility and exposure of finance: Combining environmentally-extended input-output and balance sheet approaches," Ecological Economics, Elsevier, vol. 228(C).
    13. Nicola Ann Ranger & Olivier Mahul & Irene Monasterolo, 2022. "Assessing Financial Risks from Physical Climate Shocks," World Bank Publications - Reports 37041, The World Bank Group.
    14. Wang, Xiong & Li, Jingyao & Ren, Xiaohang, 2022. "Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond," International Review of Financial Analysis, Elsevier, vol. 83(C).
    15. Antoine GODIN & Emanuele CAMPIGLIO & Eric KEMP-BENEDICT, 2017. "Networks of stranded assets: A case for a balance sheet approach," Working Paper d51a41b5-00ba-40b4-abe6-5, Agence française de développement.
    16. Florent MCISAAC & Florent Mc ISAAC, 2017. "An Input-Output Analysis: What Would a Low-Carbon Economy for Brazil Mean?," Working Paper f2f77b78-bd3b-4408-b3e9-d, Agence française de développement.
    17. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability: A post-Keynesian perspective," Working Papers PKWP1912, Post Keynesian Economics Society (PKES).
    18. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so close : coupled climate and economic dynamics in an agent-based integrated assessment model," SciencePo Working papers Main hal-03458816, HAL.
    19. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2019. "Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach," Ecological Economic Papers 23, WU Vienna University of Economics and Business.
    20. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate change, financial stability and monetary policy," Greenwich Papers in Political Economy 19966, University of Greenwich, Greenwich Political Economy Research Centre.
    21. Anamaria Dan & Adriana Tiron-Tudor, 2021. "The Determinants of Green Bond Issuance in the European Union," JRFM, MDPI, vol. 14(9), pages 1-15, September.
    22. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    23. Murau, Steffen & Haas, Armin & Guter-Sandu, Andrei, 2022. "Monetary Architecture and the Green Transition," SocArXiv sw5tu, Center for Open Science.
    24. Kemp-Benedict, Eric, 2018. "Investing in a Green Transition," Ecological Economics, Elsevier, vol. 153(C), pages 218-236.
    25. Sangiorgi, Ivan & Schopohl, Lisa, 2023. "Explaining green bond issuance using survey evidence: Beyond the greenium," The British Accounting Review, Elsevier, vol. 55(1).
    26. Tao, Lizhu & Jiang, Wenting & Ren, Xiaohang, 2024. "Analyzing the green bond index: A novel quantile-based high-dimensional approach," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    27. Benkraiem, Ramzi & Guesmi, Khaled & Ndubuisi, Gideon & Urom, Christian & Vigne, Samuel, 2024. "Dependence of green energy markets on big data and other fourth industrial revolution technologies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 96(C).
    28. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    29. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
    30. Mesut Doğan & Sutbayeva Raikhan & Nurbossynova Zhanar & Bodaukhan Gulbagda, 2023. "Analysis of Dynamic Connectedness Relationships among Clean Energy, Carbon Emission Allowance, and BIST Indexes," Sustainability, MDPI, vol. 15(7), pages 1-13, March.
    31. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price connectedness between green bond and financial markets," Economic Modelling, Elsevier, vol. 88(C), pages 25-38.
    32. Gourdel, Régis & Monasterolo, Irene & Dunz, Nepomuk & Mazzocchetti, Andrea & Parisi, Laura, 2022. "The double materiality of climate physical and transition risks in the euro area," Working Paper Series 2665, European Central Bank.
    33. Monasterolo, Irene & Raberto, Marco, 2019. "The impact of phasing out fossil fuel subsidies on the low-carbon transition," Energy Policy, Elsevier, vol. 124(C), pages 355-370.
    34. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
    35. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    36. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    37. Hałaj, Grzegorz & Martinez-Jaramillo, Serafin & Battiston, Stefano, 2024. "Financial stability through the lens of complex systems," Journal of Financial Stability, Elsevier, vol. 71(C).
    38. Emanuele Ciola & Enrico M. Turco & Massimiliano Rizzati & Davide Bazzana & Sergio Vergalli, 2024. "Taking the green pill: Macro-financial transition risks and policy challenges in the MATRIX model," Working Papers 2024.27, Fondazione Eni Enrico Mattei.
    39. D'Orazio, Paola & Popoyan, Lilit, 2018. "Fostering green investments and tackling climate-related financial risks: Which role for macroprudential policies?," Ruhr Economic Papers 778, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    40. Tian, Hao & Long, Shaobo & Li, Zixuan, 2022. "Asymmetric effects of climate policy uncertainty, infectious diseases-related uncertainty, crude oil volatility, and geopolitical risks on green bond prices," Finance Research Letters, Elsevier, vol. 48(C).
    41. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    42. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    43. Huang, Zhehao & Liao, Gaoke & Li, Zhenghui, 2019. "Loaning scale and government subsidy for promoting green innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 148-156.
    44. Fazal Ur Rehman & Basheer M. Al-Ghazali & Adel Ghaleb Haddad & Ehab Abdullatif Qahwash & M. Sadiq Sohail, 2023. "Exploring the Reverse Relationship between Circular Economy Innovation and Digital Sustainability—The Dual Mediation of Government Incentives," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    45. Irene Monasterolo, 2020. "Embedding Finance in the Macroeconomics of Climate Change: Research Challenges and Opportunities Ahead," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(04), pages 25-32, November.
    46. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    47. Antoine GODIN & Paul Hadji-Lazaro, 2020. "Demand-induced transition risks: A systemic approach applied to South Africa," Working Paper 1ec2dacf-58b9-4235-8d35-4, Agence française de développement.
    48. Louis Daumas, 2021. "Should we fear transition risks - A review of the applied literature," Working Papers 2021.05, FAERE - French Association of Environmental and Resource Economists.
    49. Huizheng Liu & Muhammad Afaq Haider Jafri & Peihua Zhu & Muhammad Hafeez, 2024. "Fiscal policy-green growth nexus: Does financial efficiency matter in top carbon emitter economies?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 20379-20396, August.
    50. Reboredo, Juan C. & Ugolini, Andrea & Aiube, Fernando Antonio Lucena, 2020. "Network connectedness of green bonds and asset classes," Energy Economics, Elsevier, vol. 86(C).
    51. Long, Shaobo & Tian, Hao & Li, Zixuan, 2022. "Dynamic spillovers between uncertainties and green bond markets in the US, Europe, and China: Evidence from the quantile VAR framework," International Review of Financial Analysis, Elsevier, vol. 84(C).
    52. Shuanglian Chen & Zhehao Huang & Benjamin M. Drakeford & Pierre Failler, 2019. "Lending Interest Rate, Loaning Scale, and Government Subsidy Scale in Green Innovation," Energies, MDPI, vol. 12(23), pages 1-22, November.
    53. Siying Long & Zhongju Liao, 2021. "Are fiscal policy incentives effective in stimulating firms' eco‐product innovation? The moderating role of dynamic capabilities," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3095-3104, November.
    54. Monasterolo, Irene & Roventini, Andrea & Foxon, Tim J., 2019. "Uncertainty of climate policies and implications for economics and finance: An evolutionary economics approach," Ecological Economics, Elsevier, vol. 163(C), pages 177-182.
    55. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    56. Alessandra Ortolano & Eugenia Nissi, 2022. "The Volatility of the “Green” Option-Adjusted Spread: Evidence before and during the Pandemic Period," Risks, MDPI, vol. 10(3), pages 1-13, February.
    57. Yan, Shuli & Wang, Jingyuan & Wu, Liangpeng, 2024. "Dynamics of green transition based on stock-flow consistent model considering compound risks," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 530-553.
    58. Vasundhara Saravade & Olaf Weber, 2020. "An Institutional Pressure and Adaptive Capacity Framework for Green Bonds: Insights from India’s Emerging Green Bond Market," World, MDPI, vol. 1(3), pages 1-25, November.
    59. Frédéric CHERBONNIER & Ulrich HEGE, 2020. "Risques climatiques et règlementation financière prudentielle," Working Paper b08f5c14-94fc-4ccc-b857-6, Agence française de développement.
    60. Irene Monasterolo & Jiani I. Zheng & Stefano Battiston, 2018. "Climate Transition Risk and Development Finance: A Carbon Risk Assessment of China's Overseas Energy Portfolios," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(6), pages 116-142, November.
    61. Bovari, Emmanuel & Lecuyer, Oskar & Mc Isaac, Florent, 2018. "Debt and damages: What are the chances of staying under the 2°C warming threshold?," International Economics, Elsevier, vol. 155(C), pages 92-108.
    62. Reboredo, Juan C. & Ugolini, Andrea & Ojea-Ferreiro, Javier, 2022. "Do green bonds de-risk investment in low-carbon stocks?," Economic Modelling, Elsevier, vol. 108(C).
    63. Ozkan, Oktay & Sunday Adebayo, Tomiwa & Usman, Ojonugwa, 2024. "Dynamic connectedness of clean energy markets, green markets, and sustainable markets: The role of climate policy uncertainty," Energy, Elsevier, vol. 303(C).
    64. Carnevali, Emilio & Deleidi, Matteo & Pariboni, Riccardo & Veronese Passarella, Marco, 2021. "Cross-border financial flows and global warming in a two-area ecological SFC model," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    65. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    66. Clara I. González & Soledad Núñez, 2019. "Mercados, entidades financieras y bancos centrales ante el cambio climático: retos y oportunidades," Working Papers 2019-06, FEDEA.
    67. Dafermos, Yannis & Nikolaidi, Maria, 2022. "Assessing climate policies: an ecological stock–flow consistent perspective," Greenwich Papers in Political Economy 38039, University of Greenwich, Greenwich Political Economy Research Centre.
    68. Emre Arat & Britta Hachenberg & Florian Kiesel & Dirk Schiereck, 2023. "Greenium, credit rating, and the COVID-19 pandemic," Journal of Asset Management, Palgrave Macmillan, vol. 24(7), pages 547-557, December.
    69. Zhe Xu & Ying Wang & Xiaoliang Shi & Yingying Qiu & Chunzi Su & Dan He, 2025. "The Impact of Environmental Subsidies and Enforcement on Green Innovation: Evidence from Heavy-Polluting Enterprises in China," Sustainability, MDPI, vol. 17(3), pages 1-25, February.
    70. Curcio, Domenico & Gianfrancesco, Igor & Vioto, Davide, 2023. "Climate change and financial systemic risk: Evidence from US banks and insurers," Journal of Financial Stability, Elsevier, vol. 66(C).
    71. Nadia Ameli & Paul Drummond & Alexander Bisaro & Michael Grubb & Hugues Chenet, 2020. "Climate finance and disclosure for institutional investors: why transparency is not enough," Climatic Change, Springer, vol. 160(4), pages 565-589, June.
    72. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    73. Natalia Vukovic & Vladimir Pobedinsky & Sergey Mityagin & Andrei Drozhzhin & Zhanna Mingaleva, 2019. "A Study on Green Economy Indicators and Modeling: Russian Context," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
    74. Jin, Jiayu & Han, Liyan & Wu, Lei & Zeng, Hongchao, 2020. "The hedging effect of green bonds on carbon market risk," International Review of Financial Analysis, Elsevier, vol. 71(C).
    75. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    76. Agliardi, Elettra & Agliardi, Rossella, 2021. "Pricing climate-related risks in the bond market," Journal of Financial Stability, Elsevier, vol. 54(C).
    77. Lagoarde-Ségot, Thomas & Revelli, Christophe, 2023. "Ecological money and finance. Introducing ecological risk-free assets," International Review of Financial Analysis, Elsevier, vol. 90(C).
    78. Canelli, Rosa & Fontana, Giuseppe & Realfonzo, Riccardo & Passarella, Marco Veronese, 2024. "Energy crisis, economic growth and public finance in Italy," Energy Economics, Elsevier, vol. 132(C).
    79. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    80. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    81. Dunz, Nepomuk & Hrast Essenfelder, Arthur & Mazzocchetti, Andrea & Monasterolo, Irene & Raberto, Marco, 2023. "Compounding COVID-19 and climate risks: The interplay of banks’ lending and government’s policy in the shock recovery," Journal of Banking & Finance, Elsevier, vol. 152(C).
    82. Dragos HURU & Ioana MANAFI & Ionut PANDELICA & Marilena Carmen UZLAU, 2022. "Nonlinear Dependencies between Green Bonds and General Financial Market Indices," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 169-181, December.
    83. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.

  15. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "An Agent-based Stock-flow Consistent Model of the Sustainable Transition in the Energy Sector," Ecological Economics, Elsevier, vol. 145(C), pages 274-300.
    See citations under working paper version above.
  16. Andrea Mazzocchetti & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2018. "Securitization and business cycle: an agent-based perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1091-1121.
    See citations under working paper version above.
  17. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    See citations under working paper version above.
  18. Ehsan Shafiei & Hlynur Stefansson & Eyjolfur Ingi Asgeirsson & Brynhildur Davidsdottir & Marco Raberto, 2013. "Integrated Agent-based and System Dynamics Modelling for Simulation of Sustainable Mobility," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 44-70, January.

    Cited by:

    1. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Bugalia, Nikhil & Maemura, Yu & Dasari, Rohit & Patidar, Manoj, 2023. "A system dynamics model for effective management strategies of High-Speed Railway (HSR) projects involving private sector participation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    3. Martin Zsifkovits & Markus Günther, 2015. "Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 501-522, June.
    4. Esteban Lopez-Arboleda & Alfonso T. Sarmiento & Laura M. Cardenas, 2019. "Systematic Review of Integrated Sustainable Transportation Models for Electric Passenger Vehicle Diffusion," Sustainability, MDPI, vol. 11(9), pages 1-19, April.
    5. Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    6. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2015. "Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system," Energy, Elsevier, vol. 83(C), pages 614-627.
    7. Bjarnhedinn Gudlaugsson & Dana Abi Ghanem & Huda Dawood & Gobind Pillai & Michael Short, 2022. "A Qualitative Based Causal-Loop Diagram for Understanding Policy Design Challenges for a Sustainable Transition Pathway: The Case of Tees Valley Region, UK," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    8. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2014. "Potential impact of transition to a low-carbon transport system in Iceland," Energy Policy, Elsevier, vol. 69(C), pages 127-142.
    9. Andrea Di Ronco & Francesca Giacobbo & Antonio Cammi, 2020. "A Kalman Filter-Based Approach for Online Source-Term Estimation in Accidental Radioactive Dispersion Events," Sustainability, MDPI, vol. 12(23), pages 1-19, November.
    10. Maggi, Elena & Vallino, Elena, 2016. "Understanding urban mobility and the impact of public policies: The role of the agent-based models," Research in Transportation Economics, Elsevier, vol. 55(C), pages 50-59.
    11. Esteban Lopez-Arboleda & Alfonso T. Sarmiento & Laura M. Cardenas, 2021. "Systemic approach for integration of sustainability in evaluation of public policies for adoption of electric vehicles," Systemic Practice and Action Research, Springer, vol. 34(4), pages 399-417, August.
    12. Shafiei, Ehsan & Davidsdottir, Brynhildur & Fazeli, Reza & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2018. "Macroeconomic effects of fiscal incentives to promote electric vehicles in Iceland: Implications for government and consumer costs," Energy Policy, Elsevier, vol. 114(C), pages 431-443.
    13. Vanessa Assumma & Marta Bottero & Giulia Datola & Elena De Angelis & Roberto Monaco, 2019. "Dynamic Models for Exploring the Resilience in Territorial Scenarios," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    14. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi & Keith, David R., 2016. "Analysis of supply-push strategies governing the transition to biofuel vehicles in a market-oriented renewable energy system," Energy, Elsevier, vol. 94(C), pages 409-421.

  19. Einar Erlingsson & Simone Alfarano & Marco Raberto & Hlynur Stefánsson, 2013. "On the distributional properties of size, profit and growth of Icelandic firms," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 57-74, April.
    See citations under working paper version above.
  20. Shafiei, Ehsan & Thorkelsson, Hedinn & Ásgeirsson, Eyjólfur Ingi & Davidsdottir, Brynhildur & Raberto, Marco & Stefansson, Hlynur, 2012. "An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1638-1653.

    Cited by:

    1. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Gnann, Till & Plötz, Patrick & Kühn, André & Wietschel, Martin, 2015. "Modelling market diffusion of electric vehicles with real world driving data – German market and policy options," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 95-112.
    3. Peng, Yuan & Bai, Xuemei, 2023. "What EV users say about policy efficacy: Evidence from Shanghai," Transport Policy, Elsevier, vol. 132(C), pages 16-26.
    4. Mo Chen & Rudy X. J. Liu & Chaochao Liu, 2021. "How to Improve the Market Penetration of New Energy Vehicles in China: An Agent-Based Model with a Three-Level Variables Structure," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    5. Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Querini, Florent & Benetto, Enrico, 2014. "Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 149-161.
    7. Francesco Pasimeni, 2017. "Adoption and Diffusion of Micro-Grids in Italy. An Analysis of Regional Factors Using Agent-Based Modelling," SPRU Working Paper Series 2017-09, SPRU - Science Policy Research Unit, University of Sussex Business School.
    8. Liu, Junbei & Zhuge, Chengxiang & Tang, Justin Hayse Chiwing G. & Meng, Meng & Zhang, Jie, 2022. "A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing," Applied Energy, Elsevier, vol. 310(C).
    9. Qiwei Xu & Jianshu Huang & Yue Han & Yun Yang & Lingyan Luo, 2020. "A Study on Electric Vehicles Participating in the Load Regulation of Urban Complexes," Energies, MDPI, vol. 13(11), pages 1-23, June.
    10. Krupa, Joseph S. & Rizzo, Donna M. & Eppstein, Margaret J. & Brad Lanute, D. & Gaalema, Diann E. & Lakkaraju, Kiran & Warrender, Christina E., 2014. "Analysis of a consumer survey on plug-in hybrid electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 14-31.
    11. Huth, Christian & Kieckhäfer, Karsten & Spengler, Thomas Stefan, 2015. "Make-or-buy strategies for electric vehicle batteries—a simulation-based analysis," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 22-34.
    12. Anna Kowalska-Pyzalska & Joanna Kott & Marek Kott, 2020. "Why Polish market of alternative fuel vehicles (AFVs) is the smallest in Europe? SWOT analysis of opportunities and threats," WORking papers in Management Science (WORMS) WORMS/20/04, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    13. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2015. "Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system," Energy, Elsevier, vol. 83(C), pages 614-627.
    14. Zhao, Xingrong & Ma, Ye & Shao, Shuai & Ma, Tieju, 2022. "What determines consumers' acceptance of electric vehicles: A survey in Shanghai, China," Energy Economics, Elsevier, vol. 108(C).
    15. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
    16. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
    17. Breschi, Valentina & Ravazzi, Chiara & Strada, Silvia & Dabbene, Fabrizio & Tanelli, Mara, 2023. "Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    18. Hidetada Higashi, 2017. "Does " Driving Range " really matter?," Working Papers hal-01670912, HAL.
    19. Francesco Pasimeni, 2019. "Community-Based Adoption and Diffusion of Micro-Grids: Analysis of the Italian Case with Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(1), pages 1-11.
    20. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    21. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    22. Constanze Ciavarella & Neil M Ferguson, 2021. "Deriving fine-scale models of human mobility from aggregated origin-destination flow data," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-18, February.
    23. Wolinetz, Michael & Axsen, Jonn, 2017. "How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 238-250.
    24. Seiho Kim & Jaesik Lee & Chulung Lee, 2017. "Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    25. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    26. Azadeh Ahkamiraad & Yong Wang, 2018. "An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City," Energies, MDPI, vol. 11(3), pages 1-17, March.
    27. Sun, Huiqian & Jing, Peng & Wang, Baihui & Cai, Yunhao & Ye, Jie & Wang, Bichen, 2023. "The effect of record-high gasoline prices on the consumers’ new energy vehicle purchase intention: Evidence from the uniform experimental design," Energy Policy, Elsevier, vol. 175(C).
    28. Zhang, Qi & Li, Hailong & Zhu, Lijing & Campana, Pietro Elia & Lu, Huihui & Wallin, Fredrik & Sun, Qie, 2018. "Factors influencing the economics of public charging infrastructures for EV – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 500-509.
    29. Adedamola Adepetu & Srinivasan Keshav, 2017. "The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study," Transportation, Springer, vol. 44(2), pages 353-373, March.
    30. Melton, Noel & Axsen, Jonn & Goldberg, Suzanne, 2017. "Evaluating plug-in electric vehicle policies in the context of long-term greenhouse gas reduction goals: Comparing 10 Canadian provinces using the “PEV policy report card”," Energy Policy, Elsevier, vol. 107(C), pages 381-393.
    31. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    32. Boateng, Mark K. & Awuah-Offei, Kwame, 2017. "Agent-based modeling framework for modeling the effect of information diffusion on community acceptance of mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 1-11.
    33. Adepetu, Adedamola & Keshav, Srinivasan & Arya, Vijay, 2016. "An agent-based electric vehicle ecosystem model: San Francisco case study," Transport Policy, Elsevier, vol. 46(C), pages 109-122.
    34. Krause, Jette & Thiel, Christian & Tsokolis, Dimitrios & Samaras, Zissis & Rota, Christian & Ward, Andy & Prenninger, Peter & Coosemans, Thierry & Neugebauer, Stephan & Verhoeve, Wim, 2020. "EU road vehicle energy consumption and CO2 emissions by 2050 – Expert-based scenarios," Energy Policy, Elsevier, vol. 138(C).
    35. Riesz, Jenny & Sotiriadis, Claire & Ambach, Daisy & Donovan, Stuart, 2016. "Quantifying the costs of a rapid transition to electric vehicles," Applied Energy, Elsevier, vol. 180(C), pages 287-300.
    36. Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
    37. Falcão, Eduardo Aparecido Moreira & Teixeira, Ana Carolina Rodrigues & Sodré, José Ricardo, 2017. "Analysis of CO2 emissions and techno-economic feasibility of an electric commercial vehicle," Applied Energy, Elsevier, vol. 193(C), pages 297-307.
    38. Tchetchik, Anat & Zvi, Liat I. & Kaplan, Sigal & Blass, Vered, 2020. "The joint effects of driving hedonism and trialability on the choice between internal combustion engine, hybrid, and electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    39. Noori, Mehdi & Zhao, Yang & Onat, Nuri C. & Gardner, Stephanie & Tatari, Omer, 2016. "Light-duty electric vehicles to improve the integrity of the electricity grid through Vehicle-to-Grid technology: Analysis of regional net revenue and emissions savings," Applied Energy, Elsevier, vol. 168(C), pages 146-158.
    40. Karsten Kieckhäfer & Thomas Volling & Thomas Stefan Spengler, 2014. "A Hybrid Simulation Approach for Estimating the Market Share Evolution of Electric Vehicles," Transportation Science, INFORMS, vol. 48(4), pages 651-670, November.
    41. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    42. Zhuge, Chengxiang & Wei, Binru & Shao, Chunfu & Shan, Yuli & Dong, Chunjiao, 2020. "The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing," Energy Policy, Elsevier, vol. 139(C).
    43. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2014. "Potential impact of transition to a low-carbon transport system in Iceland," Energy Policy, Elsevier, vol. 69(C), pages 127-142.
    44. Francisco J. Bahamonde-Birke & Tibor Hanappi, 2015. "The Potential of Electromobility in Austria: An Analysis Based on Hybrid Choice Models," Discussion Papers of DIW Berlin 1472, DIW Berlin, German Institute for Economic Research.
    45. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
    46. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
    47. Gu, Xiaoyu & Ieromonachou, Petros & Zhou, Li, 2019. "Subsidising an electric vehicle supply chain with imperfect information," International Journal of Production Economics, Elsevier, vol. 211(C), pages 82-97.
    48. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
    49. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
    50. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
    51. Esteban Lopez-Arboleda & Alfonso T. Sarmiento & Laura M. Cardenas, 2021. "Systemic approach for integration of sustainability in evaluation of public policies for adoption of electric vehicles," Systemic Practice and Action Research, Springer, vol. 34(4), pages 399-417, August.
    52. Zhengwei Xia & Dongming Wu & Langlang Zhang, 2022. "Economic, Functional, and Social Factors Influencing Electric Vehicles’ Adoption: An Empirical Study Based on the Diffusion of Innovation Theory," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    53. Huotari, Pontus & Järvi, Kati & Kortelainen, Samuli & Huhtamäki, Jukka, 2017. "Winner does not take all: Selective attention and local bias in platform-based markets," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 313-326.
    54. Florian Kuhnlenz & Pedro H. J. Nardelli, 2016. "Agent-based Model for Spot and Balancing Electricity Markets," Papers 1612.04512, arXiv.org.
    55. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
    56. Shafiei, Ehsan & Davidsdottir, Brynhildur & Fazeli, Reza & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2018. "Macroeconomic effects of fiscal incentives to promote electric vehicles in Iceland: Implications for government and consumer costs," Energy Policy, Elsevier, vol. 114(C), pages 431-443.
    57. Yongchao Zeng & Peiwu Dong & Yingying Shi & Yang Li, 2018. "On the Disruptive Innovation Strategy of Renewable Energy Technology Diffusion: An Agent-Based Model," Energies, MDPI, vol. 11(11), pages 1-21, November.
    58. Sen, Burak & Noori, Mehdi & Tatari, Omer, 2017. "Will Corporate Average Fuel Economy (CAFE) Standard help? Modeling CAFE's impact on market share of electric vehicles," Energy Policy, Elsevier, vol. 109(C), pages 279-287.
    59. Utomo, D.S. & Gripton, A. & Greening, P., 2021. "Analysing charging strategies for electric LGV in grocery delivery operation using agent-based modelling: An initial case study in the United Kingdom," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    60. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2019. "A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda," Contributions of the Institute for Infrastructure and Resources Management 01/2019, University of Leipzig, Institute for Infrastructure and Resources Management.
    61. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2018. "IRPsim: A techno-socio-economic energy system model vision for business strategy assessment at municipal level," Contributions of the Institute for Infrastructure and Resources Management 02/2018, University of Leipzig, Institute for Infrastructure and Resources Management.
    62. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    63. Nugroho, Rizqi Ilma & Gnann, Till & Speth, Daniel & Purwanto, Widodo Wahyu & Hanafi, Jessica & Soehodho, Sutanto, 2024. "Agent-based simulation for market diffusion of passenger cars and motorcycles BEV in Greater Jakarta Area," Working Papers "Sustainability and Innovation" S05/2024, Fraunhofer Institute for Systems and Innovation Research (ISI).
    64. Wolbertus, Rick & van den Hoed, Robert & Kroesen, Maarten & Chorus, Caspar, 2021. "Charging infrastructure roll-out strategies for large scale introduction of electric vehicles in urban areas: An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 262-285.
    65. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2019. "Perceived Value and Customer Adoption of Electric and Hybrid Vehicles," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    66. Zahari, Teuku Naraski & McLellan, Benjamin Craig, 2024. "Sustainability of Indonesia's transportation sector energy and resources demand under the low carbon transition strategies," Energy, Elsevier, vol. 311(C).
    67. Tobias Buchmann & Patrick Wolf & Stefan Fidaschek, 2021. "Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach," Energies, MDPI, vol. 14(3), pages 1-25, January.
    68. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi & Keith, David R., 2016. "Analysis of supply-push strategies governing the transition to biofuel vehicles in a market-oriented renewable energy system," Energy, Elsevier, vol. 94(C), pages 409-421.
    69. Ranjit R. Desai & Eric Hittinger & Eric Williams, 2022. "Interaction of Consumer Heterogeneity and Technological Progress in the US Electric Vehicle Market," Energies, MDPI, vol. 15(13), pages 1-25, June.
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    71. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
    72. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
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  21. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2012. "Debt, deleveraging and business cycles: An agent-based perspective," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-49.
    See citations under working paper version above.
  22. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2012. "Macroprudential Policies in an Agent-Based Artificial Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 205-234.
    See citations under working paper version above.
  23. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    See citations under working paper version above.
  24. Marco Raberto & Fabio Rapallo & Enrico Scalas, 2011. "Semi-Markov Graph Dynamics," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-13, August.

    Cited by:

    1. Diego Aparicio & Daniel Fraiman, 2015. "Banking Networks And Leverage Dependence In Emerging Countries," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(07n08), pages 1-21, November.
    2. Scalas, Enrico & Rapallo, Fabio & Radivojević, Tijana, 2017. "Low-traffic limit and first-passage times for a simple model of the continuous double auction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 485(C), pages 61-72.
    3. Meerschaert, Mark M. & Toaldo, Bruno, 2019. "Relaxation patterns and semi-Markov dynamics," Stochastic Processes and their Applications, Elsevier, vol. 129(8), pages 2850-2879.
    4. Cristiano Bocci & Luca Chiantini & Fabio Rapallo, 2014. "Max-Plus Objects to Study the Complexity of Graphs," Methodology and Computing in Applied Probability, Springer, vol. 16(3), pages 507-525, September.

  25. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    See citations under working paper version above.
  26. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

    Cited by:

    1. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2013. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00778979, HAL.
    2. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. I. Salle & Marc Alexandre Senegas & Murat Yildizoglu, 2019. "How transparent about its inflation target should a central bank be?: An agent-based model assessment," Post-Print hal-03026559, HAL.
    4. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers 07/2012, University of Verona, Department of Economics.
    5. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    6. Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.
    7. Italo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers 2018-11, Centre d'Economie de l'Université de Paris Nord.
    8. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    9. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    10. 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.
    11. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    13. Dan Farhat, 2014. "Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand:," Working Papers 1405, University of Otago, Department of Economics, revised Mar 2014.
    14. Domenico Gatti & Saul Desiderio, 2015. "Monetary policy experiments in an agent-based model with financial frictions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 265-286, October.
    15. Dan Farhat, 2014. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers 1404, University of Otago, Department of Economics, revised Mar 2014.
    16. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
    17. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    18. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    19. Ben-Alexander Cassell & Michael P. Wellman, 2012. "Asset pricing under ambiguous information: an empirical game-theoretic analysis," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 445-462, December.
    20. Dan Farhat, 2012. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand," Working Papers 1205, University of Otago, Department of Economics, revised Dec 2012.
    21. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    22. Robert Jump, 2014. "Animal spirits and unemployment: a disequilibrium analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 255-274, October.
    23. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    24. Callum Rhys Tilbury, 2022. "Reinforcement Learning for Economic Policy: A New Frontier?," Papers 2206.08781, arXiv.org, revised Feb 2023.

  27. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A general equilibrium model of a production economy with asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 75-80.

    Cited by:

    1. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

  28. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A dynamic general disequilibrium model of a sequential monetary production economy," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 566-577.

    Cited by:

    1. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    2. Orlando Gomes, 2010. "Endogenous Growth, Price Stability And Market Disequilibria," Metroeconomica, Wiley Blackwell, vol. 61(1), pages 3-34, February.
    3. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.
    4. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A general equilibrium model of a production economy with asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 75-80.
    5. Robert Jump, 2014. "Animal spirits and unemployment: a disequilibrium analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 255-274, October.
    6. Simone Casellina & Mariacristina Uberti, 2008. "Optimal Monetary Policy and Long-term Interest Rate Dynamics: Taylor Rule Extensions," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 183-198, September.

  29. Raberto, Marco & Cincotti, Silvano, 2005. "Modeling and simulation of a double auction artificial financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 34-45.

    Cited by:

    1. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020. "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1113-1128.
    2. Oh, Gabjin & Kim, Ho-yong & Ahn, Seok-Won & Kwak, Wooseop, 2015. "Analyzing the financial crisis using the entropy density function," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 464-469.
    3. Kanniainen, Juho & Piché, Robert, 2013. "Stock price dynamics and option valuations under volatility feedback effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 722-740.
    4. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    5. Erika Corona & Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "The Interplay Between Two Stock Markets and a Related Foreign Exchange Market: A Simulation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 99-119, September.
    6. Diana MARICA, 2015. "SIMULATING AN EVOLUTIONARY MULTI-AGENT BASED MODEL OF THE STOCK MARKET Abstract : The paper focuses on artificial stock market simulations using a multi-agent model incorporating 2,000 heterogeneous a," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 4(Special I), pages 1-42, august.
    7. Liu, Xinghua & Gregor, Shirley & Yang, Jianmei, 2008. "The effects of behavioral and structural assumptions in artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2535-2546.
    8. Leonardo Berti & Bardh Prenkaj & Paola Velardi, 2025. "TRADES: Generating Realistic Market Simulations with Diffusion Models," Papers 2502.07071, arXiv.org, revised Feb 2025.
    9. Thiago W. Alves & Ionut Florescu & George Calhoun & Dragos Bozdog, 2020. "SHIFT: A Highly Realistic Financial Market Simulation Platform," Papers 2002.11158, arXiv.org, revised Aug 2020.
    10. Juho Kanniainen & Robert Pich'e, 2012. "Stock Price Dynamics and Option Valuations under Volatility Feedback Effect," Papers 1209.4718, arXiv.org.

  30. Enrico Scalas & Rudolf Gorenflo & Hugh Luckock & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2004. "Anomalous waiting times in high-frequency financial data," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 695-702.
    See citations under working paper version above.
  31. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.

    Cited by:

    1. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
    2. Luisanna Cocco & Giulio Concas & Michele Marchesi, 2017. "Using an artificial financial market for studying a cryptocurrency market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 345-365, July.
    3. Bruno Beaufils & Olivier Brandouy & Julien Derveeuw & Philippe Mathieu, 2007. "Testing double auction as a component within a generic market model architecture," Post-Print hal-00826143, HAL.
    4. Manahov, Viktor & Urquhart, Andrew, 2021. "The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    5. Biondo, Alessio Emanuele & Mazzarino, Laura & Pluchino, Alessandro, 2024. "Trading strategies and Financial Performances: A simulation approach," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    6. Raberto, Marco & Cincotti, Silvano, 2005. "Modeling and simulation of a double auction artificial financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 34-45.
    7. Erika Corona & Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "The Interplay Between Two Stock Markets and a Related Foreign Exchange Market: A Simulation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 99-119, September.
    8. Marco Raberto & Silvano Cincotti, 2004. "Multi-agent modeling and simulation of a sequential monetary production economy," Computing in Economics and Finance 2004 260, Society for Computational Economics.
    9. Liu, Xinghua & Gregor, Shirley & Yang, Jianmei, 2008. "The effects of behavioral and structural assumptions in artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2535-2546.
    10. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.
    11. Linda Ponta & Silvano Cincotti, 2018. "Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach," Complexity, Hindawi, vol. 2018, pages 1-9, January.
    12. Thiago W. Alves & Ionut Florescu & George Calhoun & Dragos Bozdog, 2020. "SHIFT: A Highly Realistic Financial Market Simulation Platform," Papers 2002.11158, arXiv.org, revised Aug 2020.
    13. Linda Ponta & Mailan Trinh & Marco Raberto & Enrico Scalas & Silvano Cincotti, 2012. "Modeling non-stationarities in high-frequency financial time series," Papers 1212.0479, arXiv.org, revised Feb 2017.

  32. Marco Raberto & Silvano Cincotti & Sergio Focardi & Michele Marchesi, 2003. "Traders' Long-Run Wealth in an Artificial Financial Market," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 255-272, October.
    See citations under working paper version above.
  33. Raberto, Marco & Scalas, Enrico & Mainardi, Francesco, 2002. "Waiting-times and returns in high-frequency financial data: an empirical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 749-755.
    See citations under working paper version above.
  34. Raberto, Marco & Cincotti, Silvano & Focardi, Sergio M. & Marchesi, Michele, 2001. "Agent-based simulation of a financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 319-327.
    See citations under working paper version above.
  35. M. Raberto & G. Cuniberti & M. Riani & E. Scales & F. Mainardi & G. Servizi, 2000. "Learning Short-Option Valuation In The Presence Of Rare Events," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 563-564.
    See citations under working paper version above.
  36. Mainardi, Francesco & Raberto, Marco & Gorenflo, Rudolf & Scalas, Enrico, 2000. "Fractional calculus and continuous-time finance II: the waiting-time distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 468-481.
    See citations under working paper version above.
  37. Raberto, Marco & Scalas, Enrico & Cuniberti, Gianaurelio & Riani, Massimo, 1999. "Volatility in the Italian stock market: an empirical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 148-155.
    See citations under working paper version above.
  38. Cuniberti, Gianaurelio & Raberto, Marco & Scalas, Enrico, 1999. "Correlations in the bond-future market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 90-97.
    See citations under working paper version above.

Chapters

  1. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2011. "Do Capital Requirements Affect Long-Run Output Trends?," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 41-52, Springer.

    Cited by:

    1. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).

  2. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2010. "Endogenous Credit Dynamics as Source of Business Cycles in the EURACE Model," Lecture Notes in Economics and Mathematical Systems, in: Marco Li Calzi & Lucia Milone & Paolo Pellizzari (ed.), Progress in Artificial Economics, pages 203-214, Springer.

    Cited by:

    1. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    2. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    3. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).

  3. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2009. "Explaining Equity Excess Return by Means of an Agent-Based Financial Market," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 145-156, Springer.

    Cited by:

    1. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    3. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    4. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

  4. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Prospect Theory Behavioral Assumptions in an Artificial Financial Economy," Lecture Notes in Economics and Mathematical Systems, in: Klaus Schredelseker & Florian Hauser (ed.), Complexity and Artificial Markets, chapter 5, pages 55-66, Springer.

    Cited by:

    1. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    3. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    4. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).

  5. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2007. "Monetary Policy Experiments in an Artificial Multi-Market Economy with Reservation Wages," Lecture Notes in Economics and Mathematical Systems, in: Andrea Consiglio (ed.), Artificial Markets Modeling, chapter 3, pages 33-44, Springer.

    Cited by:

    1. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

  6. Silvano Cincotti & Sergio M. Focardi & Linda Ponta & Marco Raberto & Enrico Scalas, 2006. "The Waiting-Time Distribution of Trading Activity in a Double Auction Artificial Financial Market," Lecture Notes in Economics and Mathematical Systems, in: Akira Namatame & Taisei Kaizouji & Yuuji Aruka (ed.), The Complex Networks of Economic Interactions, pages 239-247, Springer.

    Cited by:

    1. Can Yilmaz Altinigne & Harun Ozkan & Veli Can Kupeli & Zehra Cataltepe, 2019. "An Empirical Study on Arrival Rates of Limit Orders and Order Cancellation Rates in Borsa Istanbul," Papers 1909.08308, arXiv.org.

  7. Enrico Scalas & Silvano Cincotti & Christian Dose & Marco Raberto, 2005. "Fraudulent Agents in an Artificial Financial Market," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 317-326, Springer.

    Cited by:

    1. Hermsen, Oliver & Witte, Björn-Christopher & Westerhoff, Frank, 2009. "Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models," Economics Discussion Papers 2009-51, Kiel Institute for the World Economy (IfW Kiel).
    2. Bence Toth & Enrico Scalas & Juergen Huber & Michael Kirchler, 2006. "The value of information in a multi-agent market model," Papers physics/0610026, arXiv.org, revised Feb 2007.
    3. Bence Toth & Enrico Scalas, 2007. "The value of information in financial markets: An agent-based simulation," Papers 0712.2687, arXiv.org.

  8. Marco Raberto & Silvano Cincotti & Christian Dose & Sergio M. Focardi & Michele Marchesi, 2005. "Price Formation in an Artificial Market: Limit Order Book Versus Matching of Supply and Demand," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 305-315, Springer.

    Cited by:

    1. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
    2. Luisanna Cocco & Giulio Concas & Michele Marchesi, 2017. "Using an artificial financial market for studying a cryptocurrency market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 345-365, July.
    3. Bruno Beaufils & Olivier Brandouy & Julien Derveeuw & Philippe Mathieu, 2007. "Testing double auction as a component within a generic market model architecture," Post-Print hal-00826143, HAL.
    4. Peter Fratrič & Giovanni Sileno & Sander Klous & Tom Engers, 2022. "Manipulation of the Bitcoin market: an agent-based study," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.

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