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Gabriele Tedeschi

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. Maria Cristina Recchioni & Yu Sun & Gabriele Tedeschi, 2016. "Can negative interest rates really affect option pricing? Empirical evidence from an explicitly solvable stochastic volatility model," Working Papers 2016/23, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Deelstra, Griselda & Grasselli, Martino & Van Weverberg, Christopher, 2016. "The role of the dependence between mortality and interest rates when pricing Guaranteed Annuity Options," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 205-219.
    2. Jae‐Yun Jun & Victor Lebreton & Yves Rakotondratsimba, 2021. "Forecasting negative yield‐curve distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 367-386, April.
    3. Riccardo Bramante & Gimmi Dallago & Silvia Facchinetti, 2022. "Black’s model in a negative interest rate environment, with application to OTC derivatives," Computational Management Science, Springer, vol. 19(1), pages 25-39, January.

  2. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    2. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.

  3. Simone Berardi & Gabriele Tedeschi, 2015. "From banks’ strategies to financial (in)stability," Working Papers 2015/11, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Iván Arribas & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2015. "Is full banking integration desirable?," Working Papers 2015/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    3. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    4. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2017. "The effect of heterogeneity on financial contagion due to overlapping portfolios," Papers 1704.06791, arXiv.org.
    5. Emanuele Ciola, 2020. "Financial sector bargaining power, aggregate growth and systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 89-109, January.
    6. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    7. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    8. Kapar, Burcu & Iori, Giulia & Gabbi, Giampaolo & Germano, Guido, 2020. "Market microstructure, banks' behaviour and interbank spreads: evidence after the crisis," LSE Research Online Documents on Economics 100467, London School of Economics and Political Science, LSE Library.
    9. Annarita Colasante & Aurora García-Gallego & Nikolaos Georgantzis & Andrea Morone, 2020. "Voluntary contributions in a system with uncertain returns: a case of systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 111-132, January.

  4. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

    Cited by:

    1. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    2. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    3. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    4. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    5. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02312186, HAL.
    6. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    7. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    8. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    9. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Gaffeo, Edoardo & Molinari, Massimo, 2017. "Taxing financial transactions in fundamentally heterogeneous markets," Economic Modelling, Elsevier, vol. 64(C), pages 322-333.
    11. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. 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.
    13. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    14. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    16. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    17. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    18. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    19. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    20. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    21. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    22. 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.
    23. Niu, Xiaojian & Niu, Xiaoli & Wu, Kexing, 2021. "Implicit government guarantees and the externality of portfolio diversification: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    24. Ji, Jingru & Wang, Donghua & Xu, Dinghai, 2019. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Economic Modelling, Elsevier, vol. 80(C), pages 383-391.
    25. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    26. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    27. Filippo Gusella, 2022. "Detecting And Measuring Financial Cycles In Heterogeneous Agents Models: An Empirical Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 25(02n03), pages 1-22, March.
    28. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    29. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," Post-Print halshs-02375423, HAL.
    30. Luigi Bonatti & Lorenza Lorenzetti, 2016. "The co-evolution of tax evasion, social capital and policy responses: A theoretical approach," DEM Working Papers 2016/08, Department of Economics and Management.
    31. Xu, Hai-Chuan & Zhang, Wei & Xiong, Xiong & Wang, Xue & Zhou, Wei-Xing, 2021. "The double-edged role of social learning: Flash crash and lower total volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 405-420.
    32. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    33. Minh Tran & Thanh Duong & Duc Pham-Hi & Marc Bui, 2020. "Detecting the Proportion of Traders in the Stock Market: An Agent-Based Approach," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    34. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.
    35. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.
    36. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    37. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    38. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    39. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    40. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02000726, HAL.
    41. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    42. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    43. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    44. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    45. Donovan Platt & Tim Gebbie, 2016. "The Problem of Calibrating an Agent-Based Model of High-Frequency Trading," Papers 1606.01495, arXiv.org, revised Mar 2017.
    46. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    47. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    48. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    49. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
    50. 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.
    51. Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
    52. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    53. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    54. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    55. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  5. Recchioni, Maria Cristina & Tedeschi, Gabriele & Berardi, Simone, 2014. "Bank's strategies during the financial crisis," FinMaP-Working Papers 25, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

    Cited by:

    1. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.

  6. 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.

    Cited by:

    1. Hatzopoulos, V. & Iori, G. & Mantegna, R. & Micciche, S. & Tumminello, M., 2013. "Quantifying preferential trading in the e-MID interbank market," Working Papers 13/14, Department of Economics, City University London.
    2. 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.
    3. Gabbi, Giampaolo & Iori, Giulia & Jafarey, Saqib & Porter, James, 2015. "Financial regulations and bank credit to the real economy," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 117-143.
    4. Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2019. "Dynamic Bank Runs: an agent-based approach," Working Papers, Department of Economics 2019_07, University of São Paulo (FEA-USP).
    5. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    6. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    7. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    8. Maria Elvira Mancino & Simona Sanfelici, 2020. "Identifying financial instability conditions using high frequency data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 221-242, January.
    9. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    10. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    11. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Demian Macedo & Victor Troster, 2021. "Liquidity shocks and interbank market failures: the role of deposit flights, non-performing loans, and competition," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(4), pages 705-746, October.
    13. Tao Xu & Jianmin He & Shouwei Li, 2016. "Multi-Channel Contagion In Dynamic Interbank Market Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-25, September.
    14. Iori, Giulia & Mantegna, Rosario N. & Marotta, Luca & Miccichè, Salvatore & Porter, James & Tumminello, Michele, 2015. "Networked relationships in the e-MID interbank market: A trading model with memory," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 98-116.
    15. Qianqian Gao & Hong Fan, 2020. "Macroprudential regulation for a dynamic Chinese banking system with a scale-free network," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 579-611, July.
    16. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    17. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    18. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    19. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    20. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    21. Sharif Mazumder & Louis R. Piccotti, 2023. "Systemic Risk: Bank Characteristics Matter," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 265-301, October.
    22. 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.
    23. Emanuele Ciola, 2020. "Financial sector bargaining power, aggregate growth and systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 89-109, January.
    24. Edoardo Gaffeo & Lucio Gobbi & Massimo Molinari, 2019. "The economics of netting in financial networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 595-622, September.
    25. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    26. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    27. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    28. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    29. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    30. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    31. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  7. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Daniel Grigat & Fabio Caccioli, 2017. "Reverse stress testing interbank networks," Papers 1702.08744, arXiv.org, revised Mar 2017.
    2. Dasha Safonova, 2017. "Interbank Network Disruptions and The Real Economy," 2017 Meeting Papers 1568, Society for Economic Dynamics.
    3. Pedro Elosegui & Federico Forte & Gabriel Montes-Rojas, 2021. "Network Structure and Fragmentation of the Argentinean Interbank Markets," BCRA Working Paper Series 202196, Central Bank of Argentina, Economic Research Department.
    4. Song, Jae Wook & Ko, Bonggyun & Cho, Poongjin & Chang, Woojin, 2016. "Time-varying causal network of the Korean financial system based on firm-specific risk premiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 287-302.
    5. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Gabbi, Giampaolo & Iori, Giulia & Jafarey, Saqib & Porter, James, 2015. "Financial regulations and bank credit to the real economy," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 117-143.
    7. Teruyoshi Kobayashi, 2013. "A model of financial contagion with variable asset returns may be replaced with a simple threshold model of cascades," Discussion Papers 1315, Graduate School of Economics, Kobe University.
    8. 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.
    9. Roberto Antonietti & Giulia De Masi & Giorgio Ricchiuti, 2020. "Linking FDI Network Topology with the Covid-19 Pandemic," Papers in Evolutionary Economic Geography (PEEG) 2054, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2020.
    10. 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.
    11. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    12. Caccioli, Fabio & Farmer, J. Doyne & Foti, Nick & Rockmore, Daniel, 2015. "Overlapping portfolios, contagion, and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 50-63.
    13. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    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. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
    16. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    17. Ohsung Kwon & Sung-guan Yun & Seung Hun Han & Yang Hon Chung & Duk Hee Lee, 2018. "Network Topology and Systemically Important Firms in the Interfirm Credit Network," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 847-864, April.
    18. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    19. Kok, Christoffer & Hałaj, Grzegorz & Hüser, Anne-Caroline & Perales, Cristian & van der Kraaij, Anton, 2017. "The systemic implications of bail-in: a multi-layered network approach," Working Paper Series 2010, European Central Bank.
    20. Teruyoshi Kobayashi & Kohei Hasui, 2013. "Efficient immunization strategies to prevent financial contagion," Papers 1308.0652, arXiv.org, revised Dec 2013.
    21. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    22. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2013. "The multiplex structure of interbank networks," Papers 1311.4798, arXiv.org.
    23. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    24. Teruyoshi Kobayashi, 2012. "Diversity among banks may increase systemic risk," Discussion Papers 1213, Graduate School of Economics, Kobe University.
    25. Teteryatnikova, Mariya, 2014. "Systemic risk in banking networks: Advantages of “tiered” banking systems," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 186-210.
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    27. Spiros Bougheas & Alan Kirman, 2015. "Complex Financial Networks and Systemic Risk: A Review," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 115-139, Springer.
    28. Jiang, Shanshan & Fan, Hong, 2021. "Systemic risk in the interbank market with overlapping portfolios and cross-ownership of the subordinated debts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    29. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2017. "The effect of heterogeneity on financial contagion due to overlapping portfolios," Papers 1704.06791, arXiv.org.
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    31. Iori, Giulia & Mantegna, Rosario N. & Marotta, Luca & Miccichè, Salvatore & Porter, James & Tumminello, Michele, 2015. "Networked relationships in the e-MID interbank market: A trading model with memory," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 98-116.
    32. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    33. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    34. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    35. Temizsoy, Asena & Iori, Giulia & Montes-Rojas, Gabriel, 2017. "Network centrality and funding rates in the e-MID interbank market," Journal of Financial Stability, Elsevier, vol. 33(C), pages 346-365.
    36. Zhang, Minghui & He, Jianmin & Li, Shouwei, 2018. "Interbank lending, network structure and default risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 203-209.
    37. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    38. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    39. Emanuele Ciola, 2020. "Financial sector bargaining power, aggregate growth and systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 89-109, January.
    40. Fabio Caccioli & J. Doyne Farmer & Nick Foti & Daniel Rockmore, 2013. "How interbank lending amplifies overlapping portfolio contagion: A case study of the Austrian banking network," Papers 1306.3704, arXiv.org.
    41. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    42. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    43. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    44. Ali Hosseiny & Mohammadreza Absalan & Mohammad Sherafati & Mauro Gallegati, 2018. "Hysteresis of economic networks in an XY model," Papers 1808.03404, arXiv.org.
    45. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    46. Hossein Dastkhan & Naser Shams Gharneh, 2016. "Determination of Systemically Important Companies with Cross-Shareholding Network Analysis: A Case Study from an Emerging Market," IJFS, MDPI, vol. 4(3), pages 1-17, June.
    47. Qingru Sun & Xiangyun Gao & Shaobo Wen & Sida Feng & Ze Wang, 2019. "Modeling the impulse response complex network for studying the fluctuation transmission of price indices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 835-858, December.
    48. Arnd Hübsch & Ursula Walther, 2017. "The impact of network inhomogeneities on contagion and system stability," Annals of Operations Research, Springer, vol. 254(1), pages 61-87, July.
    49. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang & Uryasev, Stan, 2016. "A financial network perspective of financial institutions’ systemic risk contributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 183-196.
    50. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    51. Di Xiao & Andreas Krause, 2023. "Balancing liquidity and returns through interbank markets: Endogenous interest rates and network structures," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 131-149, February.
    52. Hossein Dastkhan, 2021. "Network‐based early warning system to predict financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 594-616, January.
    53. Christoph Siebenbrunner, 2021. "Quantifying the importance of different contagion channels as sources of systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 103-131, January.
    54. He, Yi & Wu, Shan & Tong, Mu, 2019. "Systemic risk and liquidity rescue in complex financial networks: Pit hole and black hole of liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    55. 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.
    56. Valentina Y. Guleva & Klavdiya O. Bochenina & Maria V. Skvorcova & Alexander V. Boukhanovsky, 2017. "A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-15.
    57. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    58. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    59. Qianqian Gao & Hong Fan & Shanshan Jiang, 2018. "Macroprudential Regulation for the Chinese Banking Network System with Complete and Random Structures," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    60. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    61. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    62. Sigríður Benediktsdóttir & Margrét V. Bjarnadóttir & Guðmundur A. Hansen, 2016. "Large exposure estimation through automatic business group identification," Annals of Operations Research, Springer, vol. 247(2), pages 503-521, December.
    63. Matteo Chinazzi & Stefano Pegoraro & Giorgio Fagiolo, 2015. "Defuse the Bomb: Rewiring Interbank Networks," LEM Papers Series 2015/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    64. Amzallag, Adrien & Blau, Maximilian L., 2017. "Tracing European structured finance counterparty networks," Occasional Paper Series 199, European Central Bank.
    65. 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).
    66. Sui, Xin & Li, Liang & Chen, Xiaohui, 2020. "Risk contagion caused by interactions between credit and guarantee networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    67. Li, Yuelei & Hao, Aiting & Zhang, Xiaotao & Xiong, Xiong, 2018. "Network topology and systemic risk in Peer-to-Peer lending market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 118-130.
    68. Jiajia, Liu & Kun, Guo & Fangcheng, Tang & Yahan, Wang & Shouyang, Wang, 2023. "The effect of the disposal of non-performing loans on interbank liquidity risk in China: A cash flow network-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 105-119.
    69. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    70. Giulia Masi & Giorgio Ricchiuti, 2020. "From FDI network topology to macroeconomic instability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 133-158, January.
    71. Li, Shouwei & Sui, Xin, 2016. "Contagion risk in endogenous financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 591-597.
    72. Ardekani, Aref Mahdavi & Distinguin, Isabelle & Tarazi, Amine, 2020. "Do banks change their liquidity ratios based on network characteristics?," European Journal of Operational Research, Elsevier, vol. 285(2), pages 789-803.
    73. Nadine Walters & Gusti Van Zyl & Conrad Beyers, 2019. "Financial Contagion In Large, Inhomogeneous Stochastic Interbank Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-26, March.

  8. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

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    1. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    3. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    4. D’Orazio, Paola & Valente, Marco, 2019. "The role of finance in environmental innovation diffusion: An evolutionary modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 417-439.
    5. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    6. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    7. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.
    8. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    9. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    11. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    12. Alessandro STERLACCHINI, 2012. "Patent Oppositions as Competitive Tools: An Analysis of the Major Players in the European Market of White Goods," Working Papers 374, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  9. Iori, G. & Tedeschi, G., 2010. "Herding effects in order driven markets: The rise and fall of gurus," Working Papers 10/05, Department of Economics, City University London.

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    1. Misha Perepelitsa & Ilya Timofeyev, 2022. "Self-sustained price bubbles driven by digital currency innovations and adaptive market behavior," SN Business & Economics, Springer, vol. 2(3), pages 1-15, March.
    2. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    3. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.
    4. Emilios C. C Galariotis & Spyros I. Spyrou & Wu Rong, 2015. "Herding on fundamental information: A comparative study," Post-Print hal-01092519, HAL.
    5. Jiewang Chu & Jiaxuan Li, 2022. "The Composition and Operation Mechanism of Digital Entrepreneurial Ecosystem: A Study of Hangzhou Yunqi Town as an Example," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    6. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    7. Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
    8. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(1), pages 196-218, March.
    9. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    10. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    11. 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.
    12. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    13. 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).
    14. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    15. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    16. Yamamoto, Ryuichi, 2019. "Dynamic Predictor Selection And Order Splitting In A Limit Order Market," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
    17. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    18. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," Papers 1605.01354, arXiv.org.
    19. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    20. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    21. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    22. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2022. "Predicting the unpredictable: New experimental evidence on forecasting random walks," ISER Discussion Paper 1181, Institute of Social and Economic Research, Osaka University.
    23. Егорова Людмила Геннадьевна, 2014. "Эффективность Торговых Стратегий Мелких Трейдеров," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 5, pages 34-41.
    24. Ibrahim Filiz & Thomas Nahmer & Markus Spiwoks & Kilian Bizer, 2018. "Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 167-205, May.
    25. Brzezicka Justyna & Wisniewski Radosław, 2014. "Price Bubble In The Real Estate Market - Behavioral Aspects," Real Estate Management and Valuation, Sciendo, vol. 22(1), pages 1-14, March.
    26. Zhang, Junhuan, 2018. "Influence of individual rationality on continuous double auction markets with networked traders," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 353-392.
    27. Alessio Emanuele Biondo & Alessandro Pluchino & Andrea Rapisarda & Dirk Helbing, 2013. "Are Random Trading Strategies More Successful than Technical Ones?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.
    28. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    29. Humayun Kabir, M. & Shakur, Shamim, 2018. "Regime-dependent herding behavior in Asian and Latin American stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 60-78.
    30. Liudmila G. Egorova, 2014. "The Effectiveness Of Different Trading Strategies For Price-Takers," HSE Working papers WP BRP 29/FE/2014, National Research University Higher School of Economics.
    31. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    32. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    33. Maria Elvira Mancino & Maria Cristina Recchioni, 2015. "Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-33, September.
    34. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
    35. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    36. Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    38. Mark Setterfield & Bill Gibson, 2013. "Real and financial crises: A multi-agent approach," Working Papers 1309, Trinity College, Department of Economics, revised Jul 2014.
    39. Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
    40. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    41. Patrick Chang, 2020. "Fourier instantaneous estimators and the Epps effect," Papers 2007.03453, arXiv.org, revised Sep 2020.
    42. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
    43. Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    44. Chang Sheng-Kai, 2014. "Herd behavior, bubbles and social interactions in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 89-101, February.
    45. Jan Polach & Jiri Kukacka, 2016. "Prospect Theory in the Heterogeneous Agent Model," Working Papers IES 2016/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2016.
    46. Muskan Sachdeva & Ritu Lehal & Sanjay Gupta & Aashish Garg, 2021. "What make investors herd while investing in the Indian stock market? A hybrid approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(1), pages 19-37, September.
    47. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    48. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    49. Junhuan Zhang & Peter McBurney & Katarzyna Musial, 2018. "Convergence of trading strategies in continuous double auction markets with boundedly-rational networked traders," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 301-352, January.
    50. Hazem Krichene & Mhamed-Ali El-Aroui, 2018. "Artificial stock markets with different maturity levels: simulation of information asymmetry and herd behavior using agent-based and network models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 511-535, October.
    51. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    52. Christopher M Wray & Steven R Bishop, 2016. "A Financial Market Model Incorporating Herd Behaviour," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-28, March.
    53. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    54. A. E. Biondo & A. Pluchino & A. Rapisarda & D. Helbing, 2013. "Are random trading strategies more successful than technical ones?," Papers 1303.4351, arXiv.org, revised Jul 2013.

Articles

  1. Recchioni, Maria Cristina & Iori, Giulia & Tedeschi, Gabriele & Ouellette, Michelle S., 2021. "The complete Gaussian kernel in the multi-factor Heston model: Option pricing and implied volatility applications," European Journal of Operational Research, Elsevier, vol. 293(1), pages 336-360.

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    1. Alessandro Bondi & Sergio Pulido & Simone Scotti, 2022. "The rough Hawkes Heston stochastic volatility model," Working Papers hal-03827332, HAL.
    2. Alessandro Bondi & Sergio Pulido & Simone Scotti, 2022. "The rough Hawkes Heston stochastic volatility model," Papers 2210.12393, arXiv.org.

  2. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.

    Cited by:

    1. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    2. 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.

  3. Caferra, Rocco & Tedeschi, Gabriele & Morone, Andrea, 2021. "Bitcoin: Bubble that bursts or Gold that glitters?," Economics Letters, Elsevier, vol. 205(C).

    Cited by:

    1. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "Can cryptocurrencies provide a viable hedging mechanism for benchmark index investors?," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    3. Cascavilla, Alessandro, 2023. "Between money and speculative asset: the role of financial literacy on the perception towards Bitcoin in Italy," MPRA Paper 118472, University Library of Munich, Germany.

  4. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).

    Cited by:

    1. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    2. Manavi, Seyed Alireza & Jafari, Gholamreza & Rouhani, Shahin & Ausloos, Marcel, 2020. "Demythifying the belief in cryptocurrencies decentralized aspects. A study of cryptocurrencies time cross-correlations with common currencies, commodities and financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    3. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    4. Murat Tiniç & Ahmet Sensoy & Muge Demir & Duc Khuong Nguyen, 2021. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," Working Papers 2021-002, Department of Research, Ipag Business School.
    5. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    6. Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    7. Dorsa Mohammadi Arezooji, 2021. "A Big Data Analysis of the Ethereum Network: from Blockchain to Google Trends," Papers 2104.01764, arXiv.org.
    8. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.

  5. Vidal-Tomás, David & Tedeschi, Gabriele & Ripollés, Jordi, 2020. "The desertion of rich countries and the mutual support of the poor ones: Preferential lending agreements among the PIGS," Finance Research Letters, Elsevier, vol. 34(C).

    Cited by:

    1. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    2. Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).

  6. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.

    Cited by:

    1. Gangwal, Utkarsh & Dong, Shangjia, 2022. "Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    2. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    3. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    4. Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).

  7. Simone Alfarano & Eva Camacho & Gabriele Tedeschi, 2019. "Alternative approaches for the reformulation of economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 1-6, March.

    Cited by:

    1. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    2. Reena Marwah & Sanika Sulochani Ramanayake, 2021. "Pandemic-Led Disruptions in Asia: Tracing the Early Economic Impacts on Sri Lanka and Thailand," South Asian Survey, , vol. 28(1), pages 172-198, March.
    3. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.

  8. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.

    Cited by:

    1. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    2. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    3. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    4. Kapar, Burcu & Iori, Giulia & Gabbi, Giampaolo & Germano, Guido, 2020. "Market microstructure, banks' behaviour and interbank spreads: evidence after the crisis," LSE Research Online Documents on Economics 100467, London School of Economics and Political Science, LSE Library.
    5. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.

  9. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.

    Cited by:

    1. Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020. "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers 667, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Recchioni, Maria Cristina & Iori, Giulia & Tedeschi, Gabriele & Ouellette, Michelle S., 2021. "The complete Gaussian kernel in the multi-factor Heston model: Option pricing and implied volatility applications," European Journal of Operational Research, Elsevier, vol. 293(1), pages 336-360.
    3. Roberto Antonietti & Giulia De Masi & Giorgio Ricchiuti, 2020. "Linking FDI Network Topology with the Covid-19 Pandemic," Papers in Evolutionary Economic Geography (PEEG) 2054, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2020.
    4. 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.
    5. Maria Elvira Mancino & Simona Sanfelici, 2020. "Identifying financial instability conditions using high frequency data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 221-242, January.
    6. Lioui, Abraham & Tarelli, Andrea, 2019. "Macroeconomic environment, money demand and portfolio choice," European Journal of Operational Research, Elsevier, vol. 274(1), pages 357-374.
    7. Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    9. Giulia Masi & Giorgio Ricchiuti, 2020. "From FDI network topology to macroeconomic instability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 133-158, January.
    10. Annarita Colasante & Aurora García-Gallego & Nikolaos Georgantzis & Andrea Morone, 2020. "Voluntary contributions in a system with uncertain returns: a case of systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 111-132, January.

  10. Maria Cristina Recchioni & Yu Sun & Gabriele Tedeschi, 2017. "Can negative interest rates really affect option pricing? Empirical evidence from an explicitly solvable stochastic volatility model," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1257-1275, August.
    See citations under working paper version above.
  11. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    See citations under working paper version above.
  12. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    See citations under working paper version above.
  13. 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.
    See citations under working paper version above.
  14. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.

    Cited by:

    1. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    4. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    5. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    6. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    7. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    8. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    10. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2017. "The effect of heterogeneity on financial contagion due to overlapping portfolios," Papers 1704.06791, arXiv.org.
    12. Qianqian Gao & Hong Fan, 2020. "Macroprudential regulation for a dynamic Chinese banking system with a scale-free network," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 579-611, July.
    13. Adamuz, María de las Mercedes & Hernández Cortés, Janko, 2015. "Endogenous screening and the formation of loan syndicates," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 290-307.
    14. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    15. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    16. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.
    17. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.
    18. Philippe Deprez & Rajat Subhra Hazra & Mario V. Wüthrich, 2015. "Inhomogeneous Long-Range Percolation for Real-Life Network Modeling," Risks, MDPI, vol. 3(1), pages 1-23, January.
    19. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    20. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    21. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    22. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    23. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  15. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.

    Cited by:

    1. Christophe Charlier & Ankinée Kirakozian, 2019. "Public policies for household recycling when reputation matters," Post-Print hal-02400989, HAL.
    2. Na Zhao & Congcong Lei & Hui Liu & Chunlin Wu, 2022. "Improving the Effectiveness of Organisational Collaborative Innovation in Megaprojects: An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    3. 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).
    4. Lorenzo Zirulia, 2023. "Path dependence in evolving R&D networks," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 149-177, January.
    5. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    6. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    7. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.
    8. 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).
    9. Mansour Naser Alraja & Faris Alshubiri & Basel M. Khashab & Mahmood Shah, 2023. "The financial access, ICT trade balance and dark and bright sides of digitalization nexus in OECD countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 177-209, June.
    10. Stefan Behfar & Ekaterina Turkina & Thierry Burger-Helmchen, 2017. "Network tie structure causing OSS group innovation and growth," Post-Print hal-02153061, HAL.
    11. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.

  16. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.

    Cited by:

    1. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    2. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    3. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    4. Xiao, Di & Wang, Jun, 2021. "Attitude interaction for financial price behaviours by contact system with small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    5. Simone Alfarano & Eva Camacho & Gabriele Tedeschi, 2019. "Alternative approaches for the reformulation of economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 1-6, March.
    6. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    7. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    8. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    9. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    10. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    11. Mr. Alexei P Kireyev & Andrei Leonidov, 2015. "Network Effects of International Shocks and Spillovers," IMF Working Papers 2015/149, International Monetary Fund.
    12. Mitja Steinbacher & Timotej Jagrič, 2020. "Interbank rules during economic declines: Can banks safeguard capital base?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 471-499, April.
    13. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    14. George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.
    15. Gaffeo Edoardo & Gobbi Lucio, 2021. "Achieving financial stability during a liquidity crisis: a multi-objective approach," Risk Management, Palgrave Macmillan, vol. 23(1), pages 48-74, June.
    16. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    17. Jiajia, Liu & Kun, Guo & Fangcheng, Tang & Yahan, Wang & Shouyang, Wang, 2023. "The effect of the disposal of non-performing loans on interbank liquidity risk in China: A cash flow network-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 105-119.

  17. Stefania Vitali & Gabriele Tedeschi & Mauro Gallegati, 2013. "The impact of classes of innovators on technology, financial fragility, and economic growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 22(4), pages 1069-1091, August.
    See citations under working paper version above.
  18. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.

    Cited by:

    1. Hüseyin İkizler, 2019. "Contagion of network products in small-world networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 789-809, December.
    2. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    3. Emiliano Alvarez & Volker Grimm, 2024. "The added value of using the ODD Protocol for agent-based modeling in Economics: go for it!," Working Papers 307, Red Nacional de Investigadores en Economía (RedNIE).
    4. Simone Alfarano & Eva Camacho & Gabriele Tedeschi, 2019. "Alternative approaches for the reformulation of economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 1-6, March.
    5. David G. Green, 2023. "Emergence in complex networks of simple agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 419-462, July.
    6. Mr. Alexei P Kireyev & Andrei Leonidov, 2015. "Network Effects of International Shocks and Spillovers," IMF Working Papers 2015/149, International Monetary Fund.
    7. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.

  19. Tedeschi, Gabriele & Gallegati, Mauro & Mignot, Sylvain & Vignes, Annick, 2012. "Lost in transactions: The case of the Boulogne s/mer fish market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1400-1407.

    Cited by:

    1. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    2. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.
    3. Laura Hernández & Annick Vignes & Stéphanie Saba, 2018. "Trust or robustness? An ecological approach to the study of auction and bilateral markets," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-14, May.
    4. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    5. Laura Hernandez & Annick Vignes & Stéphanie Saba, 2018. "Trust or robustness? An ecological approach to the study of auction and bilateral markets," Post-Print hal-02005040, HAL.
    6. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.

  20. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
    See citations under working paper version above.
  21. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    See citations under working paper version above.
  22. Pasquale Cirillo & Gabriele Tedeschi & Mauro Gallegati, 2012. "The Boulogne fish market: the social structure and the role of loyalty," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1075-1079, July.

    Cited by:

    1. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    2. Ali Ellouze & Bastien Fernandez, 2023. "Population dynamics in fresh product markets with no posted prices," Papers 2311.03987, arXiv.org.

  23. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.

    Cited by:

    1. Sylvain Mignot & Stéphanie Saba & Annick Vignes, 2016. "To trust or to bid: an empirical analysis of social relationships on a fish market," Working Papers halshs-01298872, HAL.
    2. Wolff, François-Charles & Asche, Frank, 2022. "Pricing heterogeneity and transaction mode: Evidence from the French fish market," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 67-79.
    3. Sylvain Mignot & Annick Vignes, 2019. "Trust somebody but choose carefully : an empirical analysis of social relationships on an exchange market," Working Papers hal-02005026, HAL.
    4. Sylvain Mignot & Annick Vignes, 2022. "Network structures of a centralized and a decentralized market. A direct comparison," Post-Print hal-03801324, HAL.
    5. Laura Hernández & Annick Vignes & Stéphanie Saba, 2018. "Trust or robustness? An ecological approach to the study of auction and bilateral markets," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-14, May.
    6. Laura Hernandez & Annick Vignes & Stéphanie Saba, 2018. "Trust or robustness? An ecological approach to the study of auction and bilateral markets," Post-Print hal-02005040, HAL.

  24. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.

    Cited by:

    1. Daniel Grigat & Fabio Caccioli, 2017. "Reverse stress testing interbank networks," Papers 1702.08744, arXiv.org, revised Mar 2017.
    2. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    3. Song, Jae Wook & Ko, Bonggyun & Cho, Poongjin & Chang, Woojin, 2016. "Time-varying causal network of the Korean financial system based on firm-specific risk premiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 287-302.
    4. Gabbi, Giampaolo & Iori, Giulia & Jafarey, Saqib & Porter, James, 2015. "Financial regulations and bank credit to the real economy," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 117-143.
    5. 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.
    6. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    7. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    8. 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.
    9. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    10. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    11. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Teteryatnikova, Mariya, 2014. "Systemic risk in banking networks: Advantages of “tiered” banking systems," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 186-210.
    13. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2018. "Policy experiments in an agent-based model with credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-17.
    14. 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.
    15. Tao Xu & Jianmin He & Shouwei Li, 2016. "Multi-Channel Contagion In Dynamic Interbank Market Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-25, September.
    16. 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.
    17. Dirk Helbing, 2013. "Economics 2.0: The Natural Step towards A Self-Regulating, Participatory Market Society," Papers 1305.4078, arXiv.org, revised Jun 2013.
    18. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    19. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    20. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    21. 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).
    22. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    23. Maria Elvira Mancino & Maria Cristina Recchioni, 2015. "Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-33, September.
    24. Akira Namatame & Hoang Ang Q. Tran, 2013. "Enhancing The Resilience Of Networked Agents Through Risk Sharing," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-22.
    25. Douglas J. Cumming & Andrea Martinez-Salgueiro & Robert S. Reardon & Ahmed Sewaid, 2022. "COVID-19 bust, policy response, and rebound: equity crowdfunding and P2P versus banks," The Journal of Technology Transfer, Springer, vol. 47(6), pages 1825-1846, December.
    26. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    27. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    28. Oet, Mikhail V. & Ong, Stephen J., 2019. "From organization to activity in the US collateralized interbank market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 472-485.
    29. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    30. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    31. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    32. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    33. De Caux, Robert & McGroarty, Frank & Brede, Markus, 2017. "The evolution of risk and bailout strategy in banking systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 109-118.
    34. 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.

  25. G. Tedeschi & G. Iori & M. Gallegati, 2009. "The role of communication and imitation in limit order markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 489-497, October.

    Cited by:

    1. 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).
    2. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    3. Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
    4. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    5. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    6. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    7. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    9. Ibrahim Filiz & Thomas Nahmer & Markus Spiwoks & Kilian Bizer, 2018. "Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 167-205, May.
    10. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    11. Tedeschi, Gabriele & Gallegati, Mauro & Mignot, Sylvain & Vignes, Annick, 2012. "Lost in transactions: The case of the Boulogne s/mer fish market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1400-1407.
    12. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    13. Recchioni, Maria Cristina & Tedeschi, Gabriele & Berardi, Simone, 2014. "Bank's strategies during the financial crisis," FinMaP-Working Papers 25, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    14. Stefan, F.M. & Atman, A.P.F., 2015. "Is there any connection between the network morphology and the fluctuations of the stock market index?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 630-641.
    15. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    16. Maria Elvira Mancino & Maria Cristina Recchioni, 2015. "Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-33, September.
    17. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
    18. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    19. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    20. Hernández, Juan Antonio & Benito, Rosa Marı´a & Losada, Juan Carlos, 2012. "An adaptive stochastic model for financial markets," Chaos, Solitons & Fractals, Elsevier, vol. 45(6), pages 899-908.
    21. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
    22. Tóth, Bence & Palit, Imon & Lillo, Fabrizio & Farmer, J. Doyne, 2015. "Why is equity order flow so persistent?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 218-239.
    23. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    24. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    25. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.

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