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J. Doyne Farmer

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. J. Doyne Farmer & John Geanakoplos, 2009. "Hyperbolic Discounting Is Rational: Valuing the Far Future with Uncertain Discount Rates," Cowles Foundation Discussion Papers 1719, Cowles Foundation for Research in Economics, Yale University.

    Mentioned in:

    1. Is hyperbolic discounting rational?
      by Economic Logician in Economic Logic on 2009-09-21 19:54:00
    2. Deep Discounting Errors?
      by Mark Buchanan in The Physics of Finance on 2011-05-28 15:42:00
    3. The sickness of short-term-ism -- it's everywhere
      by Mark Buchanan in The Physics of Finance on 2011-07-06 17:36:00
  2. J. Doyne Farmer & John Geanakoplos & Jaume Masoliver & Miquel Montero & Josep Perello, 2014. "Discounting the Distant Future," Cowles Foundation Discussion Papers 1951, Cowles Foundation for Research in Economics, Yale University.

    Mentioned in:

    1. How much is our distant future worth?
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2014-08-11 17:10:42

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective," Papers 2004.06759, arXiv.org.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Production and supply
  2. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Production and supply

Working papers

  1. J. Doyne Farmer & John Geanakoplos & Matteo G. Richiardi & Miquel Montero & Josep Perell'o & Jaume Masoliver, 2023. "Discounting the distant future: What do historical bond prices imply about the long term discount rate?," Papers 2312.17157, arXiv.org.

    Cited by:

    1. Thomas J. Sargent & John Stachurski, 2024. "Dynamic Programming: Finite States," Papers 2401.10473, arXiv.org.
    2. Jaume Masoliver & Miquel Montero & Josep Perelló, 2021. "Jump-Diffusion Models for Valuing the Future: Discounting under Extreme Situations," Mathematics, MDPI, vol. 9(14), pages 1-26, July.

  2. Farmer, J. Doyne & Axtell, Robert L., 2022. "Agent-Based Modeling in Economics and Finance: Past, Present, and Future," INET Oxford Working Papers 2022-10, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Ștefan Ionescu & Nora Chiriță & Ionuț Nica & Camelia Delcea, 2023. "An Analysis of Residual Financial Contagion in Romania’s Banking Market for Mortgage Loans," Sustainability, MDPI, vol. 15(15), pages 1-32, August.
    2. Arthur, W. Brian, 2023. "Economics in nouns and verbs," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 638-647.
    3. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.
    5. Michele Vodret & Iacopo Mastromatteo & Bence Tóth & Michael Benzaquen, 2023. "Microfounding GARCH models and beyond: a Kyle-inspired model with adaptive agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 599-625, July.
    6. Aaron Wheeler & Jeffrey D. Varner, 2023. "Scalable Agent-Based Modeling for Complex Financial Market Simulations," Papers 2312.14903, arXiv.org, revised Jan 2024.
    7. Luca Grilli & Domenico Santoro, 2022. "Forecasting financial time series with Boltzmann entropy through neural networks," Computational Management Science, Springer, vol. 19(4), pages 665-681, October.
    8. Fulin Guo, 2023. "GPT in Game Theory Experiments," Papers 2305.05516, arXiv.org, revised Dec 2023.
    9. Moreno-Casas, Vicente & Espinosa, Victor I. & Wang, William Hongsong, 2022. "The political economy of complexity: The case of cyber-communism," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 566-580.
    10. Xinyu Li, 2022. "The impact of moving expenses on social segregation: a simulation with RL and ABM," Papers 2211.12475, arXiv.org.
    11. Benjamin Patrick Evans & Sumitra Ganesh, 2024. "Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning," Papers 2402.00787, arXiv.org.
    12. Namid R. Stillman & Rory Baggott & Justin Lyon & Jianfei Zhang & Dingqiu Zhu & Tao Chen & Perukrishnen Vytelingum, 2023. "Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks," Papers 2311.11913, arXiv.org, revised Nov 2023.
    13. Jialin Dong & Kshama Dwarakanath & Svitlana Vyetrenko, 2023. "Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents," Papers 2311.17252, arXiv.org.
    14. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    15. 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.
    16. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
    17. Haochong Xia & Shuo Sun & Xinrun Wang & Bo An, 2023. "Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context," Papers 2309.07708, arXiv.org, revised Feb 2024.
    18. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.

  3. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    2. Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
    3. Deepeka Garg & Benjamin Patrick Evans & Leo Ardon & Annapoorani Lakshmi Narayanan & Jared Vann & Udari Madhushani & Makada Henry-Nickie & Sumitra Ganesh, 2024. "A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis," Papers 2402.17932, arXiv.org, revised Feb 2024.
    4. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  4. Lafond, François & Farmer, J. Doyne & Mungo, Luca & Astudillo-Estévez, Pablo, 2022. "Reconstructing production networks using machine learning," INET Oxford Working Papers 2022-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Jan 2023.

    Cited by:

    1. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2023. "Estimating the loss of economic predictability from aggregating firm-level production networks," Papers 2302.11451, arXiv.org.
    2. Lafond, François & Astudillo-Estévez, Pablo & Bacilieri, Andrea & Borsos, András, 2023. "Firm-level production networks: what do we (really) know?," INET Oxford Working Papers 2023-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

  5. Farmer, J. Doyne & Dyer, Joel & Cannon, Patrick & Schmon, Sebastian, 2022. "Black-box Bayesian inference for economic agent-based models," INET Oxford Working Papers 2022-05, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.

  6. Anton Pichler & J. Doyne Farmer, 2021. "Simultaneous supply and demand constraints in input-output networks: The case of Covid-19 in Germany, Italy, and Spain," Papers 2101.07818, arXiv.org, revised May 2021.

    Cited by:

    1. Matteo Trabucco & Pietro De Giovanni, 2021. "Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    2. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    3. Adelar Fochezatto & Eduardo Rodrigues Sanguinet & Patricia Batistela & Rodrigo Valdes, 2023. "Income Leakage Regional Effects: Supply and Demand Shocks during the Pandemic in Brazil and Chile," Geographies, MDPI, vol. 3(4), pages 1-19, October.
    4. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    5. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    6. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2021. "Quantifying firm-level economic systemic risk from nation-wide supply networks," Papers 2104.07260, arXiv.org.
    7. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Tommaso Ferraresi & Leonardo Ghezzi, 2024. "A regional input-output model of the COVID-19 crisis in Italy: decomposing demand and supply factors," Economic Systems Research, Taylor & Francis Journals, vol. 36(1), pages 100-130, January.
    8. Betty Agnani & Ana Isabel Guerra & Ferran Sancho, 2023. "An index of static resilience in interindustry economics," ThE Papers 23/09, Department of Economic Theory and Economic History of the University of Granada..
    9. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.

  7. Pichler, Anton & Farmer, J. Doyne, 2021. "Modeling simultaneous supply and demand shocks in input-output networks," INET Oxford Working Papers 2021-05, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Armantier, Olivier & Koşar, Gizem & Pomerantz, Rachel & Skandalis, Daphné & Smith, Kyle & Topa, Giorgio & van der Klaauw, Wilbert, 2021. "How economic crises affect inflation beliefs: Evidence from the Covid-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 443-469.
    2. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).

  8. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Wiersema, Garbrand, 2020. "Scenario-Free Analysis of Financial Stability with Interacting Contagion Channels," INET Oxford Working Papers 2019-10, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Gourdel, Régis & Sydow, Matthias, 2023. "Non-banks contagion and the uneven mitigation of climate risk," International Review of Financial Analysis, Elsevier, vol. 89(C).

  9. Pichler, Anton & Lafond, François & Farmer, J. Doyne, 2020. "Technological interdependencies predict innovation dynamics," INET Oxford Working Papers 2020-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Nicolò Barbieri & Alberto Marzucchi & Ugo Rizzo, 2021. "Green technologies, complementarities, and policy," SEEDS Working Papers 1021, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2021.
    2. Kerstin Hotte & Su Jung Jee, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," Papers 2108.03722, arXiv.org, revised Apr 2022.
    3. Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org, revised Sep 2020.
    4. Hötte, Kerstin & Jee, Su Jung, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," INET Oxford Working Papers 2021-19, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Hötte, Kerstin & Jee, Su Jung, 2022. "Knowledge for a warmer world: A patent analysis of climate change adaptation technologies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2023. "Green technologies, interdependencies, and policy," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).

  10. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.

    Cited by:

    1. Anton Pichler & J. Doyne Farmer, 2021. "Simultaneous supply and demand constraints in input-output networks: The case of Covid-19 in Germany, Italy, and Spain," Papers 2101.07818, arXiv.org, revised May 2021.
    2. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    3. Giammetti, Raffaele & Papi, Luca & Teobaldelli, Désirée & Ticchi, Davide, 2022. "The optimality of age-based lockdown policies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 722-738.
    4. Matthew S. Lyons, 2023. "The economic impact of COVID-19 on the creative industries: a sub-regional input–output approach," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-12, December.

  11. R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective," Papers 2004.06759, arXiv.org.

    Cited by:

    1. Fang, Da & Guo, Yan, 2022. "Flow of goods to the shock of COVID-19 and toll-free highway policy: Evidence from logistics data in China," Research in Transportation Economics, Elsevier, vol. 93(C).
    2. Rouselle F. LAVADO & Keiko NOWACKA & David A. RAITZER & Yana van der Meulen RODGERS & Joseph E. ZVEGLICH, 2022. "COVID‐19 disparities by gender and income: Evidence from the Philippines," International Labour Review, International Labour Organization, vol. 161(1), pages 107-123, March.
    3. Carrascal, André & Orea, Luis, 2022. "TFP growth, embeddedness, and Covid-19: a novel production model that allows estimating trade elasticities," Efficiency Series Papers 2022/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    4. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic impact of lockdowns in Italy: a computational input-output approach," SciencePo Working papers Main hal-03373672, HAL.
    5. Masood, Amjad & Ahmed, Junaid & Martínez-Zarzoso, Inmaculada, 2021. "Gravity of Covid-19," MPRA Paper 109651, University Library of Munich, Germany.
    6. Bole, Velimir & Prašnikar, Janez & Rop, Anton, 2023. "Support for those not affected: How macroeconomic policies have shaped COVID’s impact on sectoral activity," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 265-280.
    7. Lee, Sang Yoon (Tim) & Aum, Sangmin & Shin, Yongseok, 2020. "Who Should Work from Home during a Pandemic? The Wage-Infection Trade-off," CEPR Discussion Papers 15332, C.E.P.R. Discussion Papers.
    8. Anton Pichler & J. Doyne Farmer, 2021. "Simultaneous supply and demand constraints in input-output networks: The case of Covid-19 in Germany, Italy, and Spain," Papers 2101.07818, arXiv.org, revised May 2021.
    9. Stephen Hansen & Peter John Lambert & Nicholas Bloom & Steven J. Davis & Raffaella Sadun & Bledi Taska, 2023. "Remote Work across Jobs, Companies, and Space," NBER Working Papers 31007, National Bureau of Economic Research, Inc.
    10. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Modelling and Estimating Large Macroeconomic Shocks During the Pandemic," CREATES Research Papers 2021-08, Department of Economics and Business Economics, Aarhus University.
    11. Davor Mance & Borna Debelić & Alen Jugović, 2021. "Dependence of Transportation on Industry in Croatia," Economies, MDPI, vol. 9(2), pages 1-11, March.
    12. Nano Prawoto & Eko Priyo Purnomo & Abitassha Az Zahra, 2020. "The Impacts of Covid-19 Pandemic on Socio-Economic Mobility in Indonesia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 57-71.
    13. Mia Gray & Michael Kitson & Linda Lobao & Ron Martin, 2023. "Understanding the post-COVID state and its geographies," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 16(1), pages 1-18.
    14. Gottlieb, Charles & Grobovsek, Jan & Poschke, Markus & Saltiel, Fernando, 2020. "Working from Home in Developing Countries," IZA Discussion Papers 13737, Institute of Labor Economics (IZA).
    15. George, Ammu & Li, Changtai & Lim, Jing Zhi & Xie, Taojun, 2021. "From SARS to COVID-19: The evolving role of China-ASEAN production network," Economic Modelling, Elsevier, vol. 101(C).
    16. Wang, Brian Yutao & Xu, Ruiyao & Zhang, Jing, 2022. "Outbreak risk, managerial distraction, and corporate information disclosure: Evidence from the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    17. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    18. Anna Tokarz-Kocik & Anna Bera & Karolina Drela & Agnieszka Malkowska, 2023. "The Impact of the COVID-19 Pandemic on the Labour Market in the Hotel Industry: Selected Conditions in Poland," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    19. Marco Bottone & Cristina Conflitti & Marianna Riggi & Alex Tagliabracci, 2021. "Firms' inflation expectations and pricing strategies during Covid-19," Questioni di Economia e Finanza (Occasional Papers) 619, Bank of Italy, Economic Research and International Relations Area.
    20. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    21. Tolcha, Tassew Dufera, 2023. "The state of Africa's air transport market amid COVID-19, and forecasts for recovery," Journal of Air Transport Management, Elsevier, vol. 108(C).
    22. Dueñas, Marco & Campi, Mercedes & Olmos, Luis, 2020. "Changes in mobility and socioeconomic conditions in Bogotá city during the COVID-19 outbreak," Working papers 62, Red Investigadores de Economía.
    23. Suphanit Piyapromdee & Peter Spittal, 2020. "The Income and Consumption Effects of COVID‐19 and the Role of Public Policy," Fiscal Studies, John Wiley & Sons, vol. 41(4), pages 805-827, December.
    24. Marco Pangallo & Alberto Aleta & R. Maria del Rio-Chanona & Anton Pichler & David Martín-Corral & Matteo Chinazzi & François Lafond & Marco Ajelli & Esteban Moro & Yamir Moreno & Alessandro Vespignani, 2024. "The unequal effects of the health–economy trade-off during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 8(2), pages 264-275, February.
    25. Carmen Valentina Radulescu & Georgiana-Raluca Ladaru & Sorin Burlacu & Florentina Constantin & Corina Ioanăș & Ionut Laurentiu Petre, 2020. "Impact of the COVID-19 Pandemic on the Romanian Labor Market," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    26. Garrote Sanchez,Daniel & Gomez Parra,Nicolas & Ozden,Caglar & Rijkers,Bob & Viollaz,Mariana & Winkler,Hernan Jorge, 2020. "Who on Earth Can Work from Home ?," Policy Research Working Paper Series 9347, The World Bank.
    27. David Baqaee & Emmanuel Farhi & Michael J. Mina & James H. Stock, 2020. "Reopening Scenarios," NBER Working Papers 27244, National Bureau of Economic Research, Inc.
    28. Choi, Sun-Yong, 2022. "Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    29. Arceo-Gomez, Eva O. & Campos-Vazquez, Raymundo M. & Esquivel, Gerardo & Alcaraz, Eduardo & Martinez, Luis A. & Lopez, Norma G., 2023. "The impact of COVID-19 infection on labor outcomes of Mexican formal workers," World Development Perspectives, Elsevier, vol. 29(C).
    30. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    31. Pedro Brinca & Joao B. Duarte & Miguel Faria-e-Castro, 2020. "Measuring Labor Supply and Demand Shocks during COVID-19," Working Papers 2020-011, Federal Reserve Bank of St. Louis, revised Jul 2021.
    32. Tagashira, Takumi, 2021. "The financial incentivization and communication effects of a government’s postpandemic measure: The “go-to-travel” campaign and consumer behaviors in Japan," TDB-CAREE Discussion Paper Series E-2021-01, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    33. Eduardo Rodrigues Sanguinet & Augusto Mussi Alvim & Miguel Atienza & Adelar Fochezatto, 2021. "The subnational supply chain and the COVID‐19 pandemic: Short‐term impacts on the Brazilian regional economy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 158-186, November.
    34. Gries, Thomas & Naudé, Wim, 2020. "Extreme Events, Entrepreneurial Start-Ups, and Innovation: Theoretical Conjectures," IZA Discussion Papers 13835, Institute of Labor Economics (IZA).
    35. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Post-Print halshs-03043350, HAL.
    36. Leonardo Bonilla-Mejía & Mauricio Villamizar-Villegas, 2022. "The Leading Role of Bank Supply Shocks," Borradores de Economia 1205, Banco de la Republica de Colombia.
    37. Qianxue Zhang, 2022. "The Hubei lockdown and its global impacts via supply chains," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1087-1109, September.
    38. Adelar Fochezatto & Eduardo Rodrigues Sanguinet & Patricia Batistela & Rodrigo Valdes, 2023. "Income Leakage Regional Effects: Supply and Demand Shocks during the Pandemic in Brazil and Chile," Geographies, MDPI, vol. 3(4), pages 1-19, October.
    39. Omrane Guedhami & April Knill & William L. Megginson & Lemma W. Senbet, 2022. "The dark side of globalization: Evidence from the impact of COVID-19 on multinational companies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1603-1640, October.
    40. Feuerbacher, Arndt & Flaig, Dorothee, 2021. "Global and local effects of the COVID-19 pandemic on Africa: What role does tourism play?," Conference papers 333269, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    41. Dhruv Sharma & Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2020. "V-, U-, L-, or W-shaped economic recovery after COVID: Insights from an Agent Based Model," Papers 2006.08469, arXiv.org, revised Feb 2021.
    42. Théophile T Azomahou & Njuguna Ndung'U & Mahamady Ouedraogo, 2021. "Coping with a dual shock : the economic effects of COVID-19 and oil price crises on African economies," Post-Print hal-03344118, HAL.
    43. Mohamed Ali Marouani & Phuong Le Minh, 2020. "The first victims of Covid-19 in developing countries? The most vulnerable workers to the lockdown of the Tunisian economy," Working Papers DT/2020/06, DIAL (Développement, Institutions et Mondialisation).
    44. Levchenko, Andrei & Bonadio, Barthelemey & Huo, Zhen & Pandalai-Nayar, Nitya, 2020. "Global Supply Chains in the Pandemic," CEPR Discussion Papers 14766, C.E.P.R. Discussion Papers.
    45. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    46. Alvaro Espitia & Aaditya Mattoo & Nadia Rocha & Michele Ruta & Deborah Winkler, 2022. "Pandemic trade: COVID‐19, remote work and global value chains," The World Economy, Wiley Blackwell, vol. 45(2), pages 561-589, February.
    47. Chadha, Jagjit S. & Corrado, Luisa & Meaning, Jack & Schuler, Tobias, 2021. "Monetary and fiscal complementarity in the Covid-19 pandemic," Working Paper Series 2588, European Central Bank.
    48. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
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    161. Mario Coccia, 2021. "Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9405-9429, December.
    162. Azomahou, Théophile T. & Ndung’u, Njuguna & Ouédraogo, Mahamady, 2021. "Coping with a dual shock: The economic effects of COVID-19 and oil price crises on African economies," Resources Policy, Elsevier, vol. 72(C).
    163. Semanur Soyyiğit & Ercan Eren, 2020. "Covid-19 and Digitalization: Network Analysis On Industrial Robots Trade Among The Bri Countries," Yildiz Social Science Review, Yildiz Technical University, vol. 6(2), pages 99-118.
    164. Torsten Heinrich, 2021. "Epidemics in modern economies," Papers 2105.02387, arXiv.org, revised May 2021.
    165. Crespo, Nuno Fernandes & Crespo, Cátia Fernandes & Silva, Graça Miranda & Nicola, Maura Bedin, 2023. "Innovation in times of crisis: The relevance of digitalization and early internationalization strategies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    166. Omodara Damilola & Ikhile Deborah & Ogundana Oyedele & Akin-Akinyosoye Kehinde, 2020. "Global pandemic and business performance: Impacts and responses," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(6), pages 01-11, October.
    167. Chavarín, Ricardo & Gómez, Ricardo & Salgado, Alfredo, 2023. "Sectoral supply and demand shocks during COVID-19: Evidence from Mexico," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    168. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2023. "COVID-19 and bank branch lending: The moderating effect of digitalization," Journal of Banking & Finance, Elsevier, vol. 152(C).
    169. Kubota, So & Onishi, Koichiro & Toyama, Yuta, 2021. "Consumption responses to COVID-19 payments: Evidence from a natural experiment and bank account data," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1-17.

  12. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," INET Oxford Working Papers 2020-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic impact of lockdowns in Italy: a computational input-output approach," SciencePo Working papers Main hal-03373672, HAL.
    2. Anton Pichler & J. Doyne Farmer, 2021. "Simultaneous supply and demand constraints in input-output networks: The case of Covid-19 in Germany, Italy, and Spain," Papers 2101.07818, arXiv.org, revised May 2021.
    3. Lazebnik, Teddy & Shami, Labib & Bunimovich-Mendrazitsky, Svetlana, 2023. "Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Yuli Shan & Jiamin Ou & Daoping Wang & Zhao Zeng & Shaohui Zhang & Dabo Guan & Klaus Hubacek, 2021. "Impacts of COVID-19 and fiscal stimuli on global emissions and the Paris Agreement," Nature Climate Change, Nature, vol. 11(3), pages 200-206, March.
    5. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    6. Bogusława Drelich-Skulska & Sebastian Bobowski & Jan Gola, 2021. "Global Value Chains in the Era of the COVID-19 Pandemic: Symptoms of Deglobalization," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 905-913.
    7. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    8. Qianxue Zhang, 2022. "The Hubei lockdown and its global impacts via supply chains," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1087-1109, September.
    9. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    10. Ipsen, Leonhard & Aminian, Armin & Schulz-Gebhard, Jan, 2023. "Stress-testing inflation exposure: Systemically significant prices and asymmetric shock propagation in the EU28," BERG Working Paper Series 188, Bamberg University, Bamberg Economic Research Group.
    11. Heinrich, Torsten, 2021. "Epidemics in modern economies," MPRA Paper 107578, University Library of Munich, Germany.
    12. Blagica Petreski & Marjan Petreski & Bojan Srbinoski, 2020. "The potential of export-oriented companies to contribute to post-Covid-19 economic recovery in North Macedonia," Finance Think Policy Studies 2020-12/33, Finance Think - Economic Research and Policy Institute.
    13. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic effects of lockdowns in Italy: a computational Input-Output approach," LEM Papers Series 2021/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Fabio Caccioli & Tiziana Di Matteo & Giulia Iori & Saqib Jafarey & Giacomo Livan & Simone Righi, 2022. "Introduction to the special issue on the 24th annual Workshop on Economic science with Heterogeneous Interacting Agents, London, 2019 (WEHIA 2019)," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 401-404, April.
    15. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    16. David J. Haw & Christian Morgenstern & Giovanni Forchini & Robert Johnson & Patrick Doohan & Peter C. Smith & Katharina D. Hauck, 2022. "Data needs for integrated economic-epidemiological models of pandemic mitigation policies," Papers 2209.01487, arXiv.org.
    17. Hayakawa, Kazunobu & Mukunoki, Hiroshi, 2020. "Impacts of COVID-19 on global value chains," IDE Discussion Papers 797, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    18. Orkideh Gharehgozli & Peyman Nayebvali & Amir Gharehgozli & Zaman Zamanian, 2020. "Impact of COVID-19 on the Economic Output of the US Outbreak’s Epicenter," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 561-573, October.
    19. Guimaraes, Luis, 2020. "Antibody Tests: They are More Important than We Thought," QBS Working Paper Series 2020/07, Queen's University Belfast, Queen's Business School.
    20. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2021. "Quantifying firm-level economic systemic risk from nation-wide supply networks," Papers 2104.07260, arXiv.org.
    21. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    22. Bazzana, Davide & Cohen, Jed J. & Golinucci, Nicolò & Hafner, Manfred & Noussan, Michel & Reichl, Johannes & Rocco, Matteo Vincenzo & Sciullo, Alessandro & Vergalli, Sergio, 2022. "A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy," Energy, Elsevier, vol. 238(PC).
    23. Souknilanh Keola & Kazunobu Hayakawa, 2021. "Do Lockdown Policies Reduce Economic and Social Activities? Evidence from NO2 Emissions," The Developing Economies, Institute of Developing Economies, vol. 59(2), pages 178-205, June.
    24. Çakmaklı, Cem & Demiralp, Selva & Özcan, Şebnem Kalemli & Yeşiltaş, Sevcan & Yıldırım, Muhammed A., 2023. "COVID-19 and emerging markets: A SIR model, demand shocks and capital flows," Journal of International Economics, Elsevier, vol. 145(C).
    25. Tsai, I-Chun & Chiang, Ying-Hui & Lin, Shih-Yuan, 2022. "Effect of COVID-19 lockdowns on city-center and suburban housing markets: Evidence from Hangzhou, China," Journal of Asian Economics, Elsevier, vol. 83(C).
    26. Nicolas Petit & Thibault Schrepel, 2023. "Complexity-minded antitrust," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 541-570, April.
    27. Aleksey Ponomarenko & Svetlana Popova & Andrey Sinyakov & Natalia Turdyeva & Dmitry Chernyadyev, 2020. "Assessing the Consequences of the Pandemic for the Russian Economy Through an Input-Output Model," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 3-17, December.
    28. Tijs W. Alleman & Jan M. Baetens, 2024. "Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic," Papers 2401.08442, arXiv.org.
    29. Domenico Delli Gatti & Elisa Grugni, 2021. "Breaking Bad: Supply Chain Disruptions in a Streamlined Agent Based Model," CESifo Working Paper Series 9029, CESifo.
    30. Zhang, Qianxue, 2021. "Supply shocks in China hit the world economy via global supply chains," The Warwick Economics Research Paper Series (TWERPS) 1323, University of Warwick, Department of Economics.
    31. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Tommaso Ferraresi & Leonardo Ghezzi, 2024. "A regional input-output model of the COVID-19 crisis in Italy: decomposing demand and supply factors," Economic Systems Research, Taylor & Francis Journals, vol. 36(1), pages 100-130, January.

  13. Maarten P. Scholl & Anisoara Calinescu & J. Doyne Farmer, 2020. "How Market Ecology Explains Market Malfunction," Papers 2009.09454, arXiv.org, revised Jan 2021.

    Cited by:

    1. Xiao-Yang Liu & Jingyang Rui & Jiechao Gao & Liuqing Yang & Hongyang Yang & Zhaoran Wang & Christina Dan Wang & Jian Guo, 2021. "FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance," Papers 2112.06753, arXiv.org, revised Mar 2022.
    2. de Moura, Fernanda Senra & Barbrook-Johnson, Peter, 2022. "Using data-driven systems mapping to contextualise complexity economics insights," INET Oxford Working Papers 2022-27, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Schmitt, Noemi & Westerhoff, Frank H., 2019. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," BERG Working Paper Series 151, Bamberg University, Bamberg Economic Research Group.
    4. Edgardo Brigatti & Estevan Augusto Amazonas Mendes, 2021. "Testing macroecological theories in cryptocurrency market: neutral models can not describe diversity patterns and their variation," Papers 2111.02067, arXiv.org, revised Jul 2022.
    5. Gardini, L. & Radi, D. & Schmitt, N. & Sushko, I. & Westerhoff, F., 2022. "Causes of fragile stock market stability," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 483-498.
    6. Hirshleifer, David & Lo, Andrew W. & Zhang, Ruixun, 2023. "Social contagion and the survival of diverse investment styles," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    7. Didier Wernli & Lucas Böttcher & Flore Vanackere & Yuliya Kaspiarovich & Maria Masood & Nicolas Levrat, 2023. "Understanding and governing global systemic crises in the 21st century: A complexity perspective," Global Policy, London School of Economics and Political Science, vol. 14(2), pages 207-228, May.

  14. Lafond, François & Farmer, J. Doyne & Greenwald, Diana, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," INET Oxford Working Papers 2020-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Papers 2212.14159, arXiv.org.
    2. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Chemnitz Economic Papers 058, Department of Economics, Chemnitz University of Technology.
    3. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    4. Heinrich, Torsten & Yang, Jangho, 2022. "Innovation in times of Covid-19," MPRA Paper 115809, University Library of Munich, Germany.
    5. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.

  15. Farmer, J. Doyne & Ives, Matthew & Way, Rupert & Mealy, Penny, 2020. "Empirically grounded technology forecasts and the energy transition," INET Oxford Working Papers 2021-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised 2021.

    Cited by:

    1. Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2023. "How can technology significantly contribute to climate change mitigation?," Post-Print hal-04184412, HAL.
    2. Migo-Sumagang, Maria Victoria & Tan, Raymond R. & Aviso, Kathleen B., 2023. "A multi-period model for optimizing negative emission technology portfolios with economic and carbon value discount rates," Energy, Elsevier, vol. 275(C).
    3. Francesco Vona, 2021. "Managing the distributional effects of environmental and climate policies: The narrow path for a triple dividend," OECD Environment Working Papers 188, OECD Publishing.
    4. Huckebrink, David & Bertsch, Valentin, 2022. "Decarbonising the residential heating sector: A techno-economic assessment of selected technologies," Energy, Elsevier, vol. 257(C).
    5. Femke J. M. M. Nijsse & Jean-Francois Mercure & Nadia Ameli & Francesca Larosa & Sumit Kothari & Jamie Rickman & Pim Vercoulen & Hector Pollitt, 2023. "The momentum of the solar energy transition," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

  16. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Gourdel, Régis & Sydow, Matthias, 2022. "Non-banks contagion and the uneven mitigation of climate risk," Working Paper Series 2757, European Central Bank.
    2. Aikman, David & Beale, Daniel & Brinley-Codd, Adam & Covi, Giovanni & Hüser, Anne‑Caroline & Lepore, Caterina, 2023. "Macroprudential stress‑test models: a survey," Bank of England working papers 1037, Bank of England.
    3. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    4. Sydow, Matthias & Schilte, Aurore & Covi, Giovanni & Deipenbrock, Marija & Del Vecchio, Leonardo & Fiedor, Paweł & Fukker, Gábor & Gehrend, Max & Gourdel, Régis & Grassi, Alberto & Hilberg, Björn & Ka, 2021. "Shock amplification in an interconnected financial system of banks and investment funds," Working Paper Series 2581, European Central Bank.
    5. Romain Plassard, 2020. "Making a Breach: The Incorporation of Agent-Based Models into the Bank of England's Toolkit," GREDEG Working Papers 2020-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    6. Emmanuel Caiazzo & Alberto Zazzaro, 2023. "Bank Diversity and Financial Contagion," CSEF Working Papers 667, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    7. Gourdel, Régis & Sydow, Matthias, 2023. "Non-banks contagion and the uneven mitigation of climate risk," International Review of Financial Analysis, Elsevier, vol. 89(C).
    8. Yan, Chun & Ding, Yi & Liu, Wei & Liu, Xinhong & Liu, Jiahui, 2023. "Multilayer interbank networks and systemic risk propagation: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    9. Hüser, Anne-Caroline & Lepore, Caterina & Veraart, Luitgard, 2021. "How does the repo market behave under stress? Evidence from the Covid-19 crisis," Bank of England working papers 910, Bank of England, revised 18 Jun 2021.

  17. Lafond, François & Farmer, J. Doyne & Koutroumpis, Pantelis & Winkler, Julian & Heinrich, Torsten & Yang, Jangho, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," INET Oxford Working Papers 2019-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    2. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2021. "Growth, development, and structural change at the firm level: The example of the PR China," Working Papers on East Asian Studies 128/2021, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
    3. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Levels of structural change: An analysis of China's development push 1998-2014," Papers 2005.01882, arXiv.org, revised Sep 2020.
    4. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.

  18. Jangho Yang & Torsten Heinrich & Julian Winkler & Franc{c}ois Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2019. "Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution," Papers 1910.05219, arXiv.org, revised Apr 2022.

    Cited by:

    1. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    2. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2021. "Growth, development, and structural change at the firm level: The example of the PR China," Working Papers on East Asian Studies 128/2021, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
    3. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Levels of structural change: An analysis of China's development push 1998-2014," Papers 2005.01882, arXiv.org, revised Sep 2020.
    4. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.

  19. Farmer, J. Doyne & Asano, Yuki & Kolb, Jakob & Heitzig, Jobst, 2019. "Emergent Inequality and Endogenous Dynamics in a Simple Behavioral Macroeconomic Model," INET Oxford Working Papers 2019-11, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Federico Guglielmo Morelli & Michael Benzaquen & Marco Tarzia & Jean-Philippe Bouchaud, 2020. "Confidence collapse in a multihousehold, self-reflexive DSGE model," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(17), pages 9244-9249, April.
    2. Federico Morelli & Michael Benzaquen & Marco Tarzia & Jean-Philippe Bouchaud, 2020. "Confidence Collapse in a Multi-Household, Self-Reflexive DSGE Model," Post-Print hal-02323098, HAL.

  20. Josep Perell'o & Miquel Montero & Jaume Masoliver & J. Doyne Farmer & John Geanakoplos, 2019. "Statistical analysis and stochastic interest rate modelling for valuing the future with implications in climate change mitigation," Papers 1910.01928, arXiv.org, revised Feb 2020.

    Cited by:

    1. Matteo Richiardi & J. Doyne Farmer & John Geanakoplos & Jaume Masoliver & Miquel Montero & Josep Perellò, 2017. "Discounting the distant future: What do historical bond prices imply about the long term discount rate?," LABORatorio R. Revelli Working Papers Series 156, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Jaume Masoliver & Miquel Montero & Josep Perelló, 2021. "Jump-Diffusion Models for Valuing the Future: Discounting under Extreme Situations," Mathematics, MDPI, vol. 9(14), pages 1-26, July.

  21. R. Maria del Rio-Chanona & Penny Mealy & Mariano Beguerisse-D'iaz & Francois Lafond & J. Doyne Farmer, 2019. "Automation and occupational mobility: A data-driven network model," Papers 1906.04086, arXiv.org, revised Feb 2020.

    Cited by:

    1. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.

  22. James McNerney & Charles Savoie & Francesco Caravelli & Vasco M. Carvalho & J. Doyne Farmer, 2018. "How production networks amplify economic growth," Papers 1810.07774, arXiv.org, revised Nov 2021.

    Cited by:

    1. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    2. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    3. Olivera Kostoska & Viktor Stojkoski & Ljupco Kocarev, 2020. "On the structure of the world economy: An absorbing Markov chain approach," Papers 2003.05204, arXiv.org.
    4. Silvia Bartolucci & Fabio Caccioli & Francesco Caravelli & Pierpaolo Vivo, 2020. "Upstreamness and downstreamness in input-output analysis from local and aggregate information," Papers 2009.06350, arXiv.org, revised Feb 2024.

  23. Mealy, Penny & Farmer, J. Doyne & Hausmann, Ricardo, 2018. "Determining the Differences that Matter: Development and Divergence in US States over 1850-2010," Working Paper Series rwp18-030, Harvard University, John F. Kennedy School of Government.

    Cited by:

    1. Fritz, Benedikt & Manduca, Robert, 2021. "The Economic Complexity of US Metropolitan Areas," SocArXiv 2gw9c, Center for Open Science.

  24. Farmer, J. Doyne & Mealy, Penny & Teytelboym, Alexander, 2018. "A New Interpretation of the Economic Complexity Index," INET Oxford Working Papers 2018-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Helena Afonso & Sebastian Vergara, 2020. "Exporters in Africa: What Role for Trade Costs?," Working Papers 168, United Nations, Department of Economics and Social Affairs.
    2. Sebastian Vergara, 2019. "The Role of Productive and Technological Capabilities on Export Dynamics in Developing Countries," Working Papers 161, United Nations, Department of Economics and Social Affairs.
    3. Bernardo Caldarola & Dario Mazzilli & Lorenzo Napolitano & Aurelio Patelli & Angelica Sbardella, 2023. "Economic complexity and the sustainability transition: A review of data, methods, and literature," Papers 2308.07172, arXiv.org, revised Mar 2024.
    4. Yuyuan Yu & Muhammad Qayyum, 2023. "Impacts of financial openness on economic complexity: Cross‐country evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1514-1526, April.

  25. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Aymanns, Christopher, 2018. "Models of Financial Stability and Their Application in Stress Tests," INET Oxford Working Papers 2018-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Farmer, J. Doyne & Goodhart, C. A. E. & Kleinnijenhuis, Alissa M., 2021. "Systemic implications of the bail-in design," LSE Research Online Documents on Economics 111903, London School of Economics and Political Science, LSE Library.
    2. Ramadiah, Amanah & Fricke, Daniel & Caccioli, Fabio, 2020. "Backtesting macroprudential stress tests," Discussion Papers 45/2020, Deutsche Bundesbank.
    3. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).

  26. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.

    Cited by:

    1. Lafond, François & Farmer, J. Doyne & Greenwald, Diana, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," INET Oxford Working Papers 2020-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    3. Edoardo Ruffino & Bruno Piga & Alessandro Casasso & Rajandrea Sethi, 2022. "Heat Pumps, Wood Biomass and Fossil Fuel Solutions in the Renovation of Buildings: A Techno-Economic Analysis Applied to Piedmont Region (NW Italy)," Energies, MDPI, vol. 15(7), pages 1-25, March.
    4. Zadourian, Rubina & Klümper, Andreas, 2018. "Exact probability distribution function for the volatility of cumulative production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 59-66.
    5. Elizabeth Baldwin & Yongyang Cai & Karlygash Kuralbayeva, 2019. "To Build or not to Build? Capital Stocks and Climate Policy," OxCarre Working Papers 204, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    6. Hann-Earl Kim & Yu-Sang Chang & Hee-Jin Kim, 2021. "Dynamic Electricity Intensity Trends in 91 Countries," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    7. Gary, Robert F. & Fink, Matthias & Belousova, Olga & Marinakis, Yorgos & Tierney, Robert & Walsh, Steven T., 2020. "An introduction to the field of abundant economic thought," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    8. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    9. Mitrašinović, Aleksandar M., 2021. "Photovoltaics advancements for transition from renewable to clean energy," Energy, Elsevier, vol. 237(C).
    10. Baldwin, Elizabeth & Cai, Yongyang & Kuralbayeva, Karlygash, 2020. "To build or not to build? Capital stocks and climate policy∗," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).
    11. Thomas Hale, 2020. "Catalytic Cooperation," Global Environmental Politics, MIT Press, vol. 20(4), pages 73-98, Autumn.

  27. Farmer, J. Doyne & Sanders, James & Galla, Tobias, 2017. "The prevalence of chaotic dynamics in games with many players," INET Oxford Working Papers 2017-05, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Dieter Hendricks & Adam Cobb & Richard Everett & Jonathan Downing & Stephen J. Roberts, 2017. "Inferring agent objectives at different scales of a complex adaptive system," Papers 1712.01137, arXiv.org.

  28. Rupert Way & Franc{c}ois Lafond & Fabrizio Lillo & Valentyn Panchenko & J. Doyne Farmer, 2017. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Papers 1705.03423, arXiv.org, revised Aug 2018.

    Cited by:

    1. De Gennaro Aquino, Luca & Sornette, Didier & Strub, Moris S., 2023. "Portfolio selection with exploration of new investment assets," European Journal of Operational Research, Elsevier, vol. 310(2), pages 773-792.
    2. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    3. José Alex Gualotuña Parra & Omar Valverde-Arias & Ana M. Tarquis & Juan B. Grau Olivé & Federico Colombo Speroni & Antonio Saa-Requejo, 2023. "Combining Markowitz Portfolio Model and Simplex Algorithm to Achieve Sustainable Land Management Objectives: Case Study of Rivadavia Banda Norte, Salta (Argentina)," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    4. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).
    5. Farrell, Niall, 2023. "Policy design for green hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    6. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    7. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    8. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
    9. Vera Ivanyuk, 2022. "Proposed Model of a Dynamic Investment Portfolio with an Adaptive Strategy," Mathematics, MDPI, vol. 10(23), pages 1-19, November.
    10. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).
    11. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    12. Cameron Hepburn & Jacquelyn Pless & David Popp, 2018. "Policy Brief—Encouraging Innovation that Protects Environmental Systems: Five Policy Proposals," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 154-169.

  29. Marco Pangallo & James Sanders & Tobias Galla & Doyne Farmer, 2017. "Towards a taxonomy of learning dynamics in 2 x 2 games," Papers 1701.09043, arXiv.org, revised Sep 2021.

    Cited by:

    1. Pangallo, Marco & Farmer, J. Doyne & Heinrich, Torsten, "undated". "Best reply structure and equilibrium convergence in generic games," INET Oxford Working Papers 2017-07, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Mar 2018.
    2. Torsten Heinrich & Yoojin Jang & Luca Mungo & Marco Pangallo & Alex Scott & Bassel Tarbush & Samuel Wiese, 2021. "Best-response dynamics, playing sequences, and convergence to equilibrium in random games," Papers 2101.04222, arXiv.org, revised Nov 2022.
    3. Lin, Zewei & Wang, Peng & Ren, Songyan & Zhao, Daiqing, 2023. "Economic and environmental impacts of EVs promotion under the 2060 carbon neutrality target—A CGE based study in Shaanxi Province of China," Applied Energy, Elsevier, vol. 332(C).
    4. Stefanos Leonardos & Georgios Piliouras & Kelly Spendlove, 2021. "Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality," Papers 2106.12928, arXiv.org.
    5. Robertson, Matthew J., 2018. "Contests with Ex-Ante Target Setting," CRETA Online Discussion Paper Series 47, Centre for Research in Economic Theory and its Applications CRETA.

  30. Penny Mealy & J. Doyne Farmer & Alexander Teytelboym, 2017. "Interpreting Economic Complexity," Papers 1711.08245, arXiv.org, revised Sep 2018.

    Cited by:

    1. Benjamin Davies & David C Maré, 2019. "Relatedness, Complexity and Local Growth," Working Papers 19_01, Motu Economic and Public Policy Research.
    2. Carlo Piccardi & Lucia Tajoli, 2018. "Complexity, centralization, and fragility in economic networks," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    3. Sebastian Bustos & Muhammed A. Yildirim, 2019. "Production Ability and Economic Growth," CID Working Papers 110a, Center for International Development at Harvard University.

  31. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.

    Cited by:

    1. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    4. Dimitrios Laliotis & Alejandro Buesa & Miha Leber & Javier Población, 2020. "An agent-based model for the assessment of LTV caps," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1721-1748, October.
    5. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    6. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    7. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    8. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    10. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Gross, Marco & Población, Javier, 2017. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Economic Modelling, Elsevier, vol. 61(C), pages 510-528.
    12. Alexander Lord & Yiquan Gu, 2019. "Can the market be tamed? A thought experiment on the value(s) of planning," Environment and Planning A, , vol. 51(1), pages 11-24, February.
    13. Tae-Sub Yun & Il-Chul Moon, 2020. "Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-5.
    14. Anna Samarina & Anh D.M. Nguyen, 2019. "Does monetary policy affect income inequality in the euro area?," Bank of Lithuania Working Paper Series 61, Bank of Lithuania.
    15. Ruben Tarne & Dirk Bezemer & Thomas Theobald, 2021. "The Effect of borrower-specific Loan-to-Value policies on household debt, wealth inequality and consumption volatility," FMM Working Paper 70-2021, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    16. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    17. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    18. Barasinska, Nataliya & Ludwig, Johannes & Vogel, Edgar, 2021. "The impact of borrower-based instruments on household vulnerability in Germany," Discussion Papers 20/2021, Deutsche Bundesbank.
    19. Marco Pangallo & Jean Pierre Nadal & Annick Vignes, 2016. "Residential income segregation: A behavioral model of the housing market," Papers 1606.00424, arXiv.org, revised Oct 2018.
    20. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    21. Thomas Theobald & Silke Tober & Ruben Tarne, 2020. "Makroprudenzielle Politik: Kurzfristig expansiv bleiben, mittelfristig straffen," IMK Report 162-2020, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    22. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    23. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    24. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    25. Tarne, Ruben & Bezemer, Dirk & Theobald, Thomas, 2022. "The effect of borrower-specific loan-to-value policies on household debt, wealth inequality and consumption volatility: An agent-based analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    26. Donnery, Sharon & Fitzpatrick, Trevor & Greaney, Darren & McCann, Fergal & O'Keeffe, Micheal, 2018. "Resolving Non-Performing Loans in Ireland: 2010-2018," Quarterly Bulletin Articles, Central Bank of Ireland, pages 54-70, April.
    27. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    28. Romain Plassard, 2020. "Making a Breach: The Incorporation of Agent-Based Models into the Bank of England's Toolkit," GREDEG Working Papers 2020-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    29. Gennaro Catapano & Francesco Franceschi & Valentina Michelangeli & Michele Loberto, 2021. "Macroprudential Policy Analysis via an Agent Based Model of the Real Estate Sector," Temi di discussione (Economic working papers) 1338, Bank of Italy, Economic Research and International Relations Area.
    30. 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.
    31. Fatouh, Mahmoud & Markose, Sheri & Giansante, Simone, 2021. "The impact of quantitative easing on UK bank lending: Why banks do not lend to businesses?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 928-953.
    32. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    33. Gerth, Florian & Temnov, Grigory, 2021. "New Ways of Modeling Loan-to-Income Distributions and their Evolution in Time - A Probability Copula Approach," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 217-236.

  32. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.

    Cited by:

    1. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    2. Emily Burchfield & Neil Matthews-Pennanen & Justin Schoof & Christopher Lant, 2020. "Changing yields in the Central United States under climate and technological change," Climatic Change, Springer, vol. 159(3), pages 329-346, April.
    3. Xaviery N. Penisa & Michael T. Castro & Jethro Daniel A. Pascasio & Eugene A. Esparcia & Oliver Schmidt & Joey D. Ocon, 2020. "Projecting the Price of Lithium-Ion NMC Battery Packs Using a Multifactor Learning Curve Model," Energies, MDPI, vol. 13(20), pages 1-18, October.
    4. Elena Verdolini & Laura Diaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2016. "The Future Prospects of Energy Technologies: Insights from Expert Elicitations," Working Papers 2016.47, Fondazione Eni Enrico Mattei.
    5. Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
    6. Tamer Khraisha & Keren Arthur, 2018. "Can we have a general theory of financial innovation processes? A conceptual review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-27, December.
    7. JongRoul Woo & Christopher L. Magee, 2018. "Forecasting the value of battery electric vehicles compared to internal combustion engine vehicles: the influence of driving range and battery technology," Papers 1806.06947, arXiv.org.
    8. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    9. Zaid A. Aljawary & Santiago de Pablo & Luis Carlos Herrero-de Lucas & Fernando Martinez-Rodrigo, 2020. "Local Carrier PWM for Modular Multilevel Converters with Distributed PV Cells and Circulating Current Reduction," Energies, MDPI, vol. 13(21), pages 1-21, October.
    10. Proskuryakova, Liliana N. & Ermolenko, Georgy V., 2019. "The future of Russia’s renewable energy sector: Trends, scenarios and policies," Renewable Energy, Elsevier, vol. 143(C), pages 1670-1686.
    11. Zadourian, Rubina & Klümper, Andreas, 2018. "Exact probability distribution function for the volatility of cumulative production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 59-66.
    12. Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021. "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    13. Guanglu Zhang & Douglas Allaire & Venkatesh Shankar & Daniel A McAdams, 2019. "A case against the trickle-down effect in technology ecosystems," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-7, June.
    14. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    15. Sugandha Srivastav & Ryan Rafaty, 2023. "Political Strategies to Overcome Climate Policy Obstructionism," Papers 2304.14960, arXiv.org.
    16. Aydin, Erdal & Eichholtz, Piet & Yönder, Erkan, 2018. "The economics of residential solar water heaters in emerging economies: The case of Turkey," Energy Economics, Elsevier, vol. 75(C), pages 285-299.
    17. Hann-Earl Kim & Yu-Sang Chang & Hee-Jin Kim, 2021. "Dynamic Electricity Intensity Trends in 91 Countries," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    18. David Newbery & Michael Pollitt & Robert Ritz & Wadim Strielkowski, 2017. "Market design for a high-renewables European electricity system," Working Papers EPRG 1711, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    19. Alex Coad & Gianluca Biggi & Elisa Giuliani, 2021. "Asbestos, leaded petrol, and other aberrations: comparing countries’ regulatory responses to disapproved products and technologies," Industry and Innovation, Taylor & Francis Journals, vol. 28(2), pages 201-233, February.
    20. David F. Hendry, 2020. "First in, First out: Econometric Modelling of UK Annual CO_2 Emissions, 1860–2017," Economics Papers 2020-W02, Economics Group, Nuffield College, University of Oxford.
    21. Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org, revised Sep 2020.
    22. Rosaria Ciriminna & Francesco Meneguzzo & Lorenzo Albanese & Mario Pagliaro, 2017. "Solar street lighting: a key technology en route to sustainability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(2), March.
    23. Pegels, Anna & Altenburg, Tilman, 2020. "Latecomer development in a “greening” world: Introduction to the Special Issue," World Development, Elsevier, vol. 135(C).
    24. Ives, Matthew & Cesaro, Zac & Bramstoft, Rasmus & Bañares-Alcántara, René, 2023. "Facilitating deep decarbonization via sector coupling of green hydrogen and ammonia," INET Oxford Working Papers 2023-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    25. Cesaro, Zac & Ives, Matthew & Nayak-Luke, Richard & Mason, Mike & Bañares-Alcántara, René, 2021. "Ammonia to power: Forecasting the levelized cost of electricity from green ammonia in large-scale power plants," Applied Energy, Elsevier, vol. 282(PA).
    26. Mario Coccia, 2019. "Technological Parasitism," Papers 1901.09073, arXiv.org.
    27. Martin Kalthaus, 2017. "Identifying technological sub-trajectories in photovoltaic patents," Jena Economics Research Papers 2017-010, Friedrich-Schiller-University Jena.
    28. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    29. José L. Torres & Pablo Casas, 2020. "Automation, Automatic Capital Returns, and the Functional Income Distribution," Working Papers 2020-02, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    30. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    31. Côme Billard, 2020. "Technology Contagion in Networks," Working Papers 2020.01, FAERE - French Association of Environmental and Resource Economists.
    32. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    33. Pearce, Phoebe & Slade, Raphael, 2018. "Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model," Energy Policy, Elsevier, vol. 116(C), pages 95-111.
    34. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2019. "From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning," Energy Policy, Elsevier, vol. 127(C), pages 134-146.
    35. Wen, Xin & Jaxa-Rozen, Marc & Trutnevyte, Evelina, 2023. "Hindcasting to inform the development of bottom-up electricity system models: The cases of endogenous demand and technology learning," Applied Energy, Elsevier, vol. 340(C).
    36. Pichler, Anton & Lafond, François & Farmer, J. Doyne, 2020. "Technological interdependencies predict innovation dynamics," INET Oxford Working Papers 2020-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    37. Farmer, J. Doyne & Hepburn, Cameron & Beinhocker, Eric, 2018. "The Tipping Point: How the G20 Can Lead the Transition to a Prosperous Clean Energy Economy," INET Oxford Working Papers 2018-09, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    38. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    39. James Holehouse & Hector Pollitt, 2021. "Non-equilibrium time-dependent solution to discrete choice with social interactions," Papers 2109.09633, arXiv.org, revised Jan 2022.
    40. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    41. Giovanni Dosi & Marco Grazzi & Nanditha Mathew, 2016. "The cost-quantity relations and the diverse patterns of "learning by doing": Evidence from India," LEM Papers Series 2016/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    42. Herche, Wesley, 2017. "Solar energy strategies in the U.S. utility market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 590-595.
    43. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.
    44. Li, Yanan & Lin, Jun & Qian, Yanjun & Li, Dehong, 2023. "Feed-in tariff policy for biomass power generation: Incorporating the feedstock acquisition process," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1113-1132.
    45. Christopher L. Benson & Christopher L. Magee, 2018. "Data-Driven Investment Decision-Making: Applying Moore's Law and S-Curves to Business Strategies," Papers 1805.06339, arXiv.org.
    46. Hansen, J.P. & Narbel, P.A. & Aksnes, D.L., 2017. "Limits to growth in the renewable energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 769-774.
    47. Krupa, Joel & Harvey, L.D. Danny, 2017. "Renewable electricity finance in the United States: A state-of-the-art review," Energy, Elsevier, vol. 135(C), pages 913-929.
    48. Parviz Sohrabi & Behshad Jodeiri Shokri & Hesam Dehghani, 2023. "Predicting coal price using time series methods and combination of radial basis function (RBF) neural network with time series," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 207-216, June.
    49. Hepburn, Cameron & Pfeiffer, Alexander & Vogt-Schilb, Adrien & J. Tulloch, Daniel, 2018. "Dead on arrival? Implicit stranded assets in leading IAM scenarios," INET Oxford Working Papers 2018-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    50. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.
    51. ALI, Essossinam, 2018. "Impact of Climate Variability on Staple Food Crops Production in Northern Togo," MPRA Paper 91972, University Library of Munich, Germany, revised 10 Oct 2018.
    52. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    53. Hugo Confraria & Vitor Hugo Ferreira & Manuel Mira Godinho, 2021. "Emerging 21st Century technologies: Is Europe still falling behind?," Working Papers REM 2021/0188, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    54. Francois Rozon & Craig McGregor & Michael Owen, 2023. "Long-Term Forecasting Framework for Renewable Energy Technologies’ Installed Capacity and Costs for 2050," Energies, MDPI, vol. 16(19), pages 1-20, September.
    55. Zhang, Bowen & Rees, Griffith & Solomon, Guy & Wilson, Alan, 2023. "Input-output analytics for urban systems: explorations in policy and planning," SocArXiv sruq7, Center for Open Science.
    56. Femke J. M. M. Nijsse & Jean-Francois Mercure & Nadia Ameli & Francesca Larosa & Sumit Kothari & Jamie Rickman & Pim Vercoulen & Hector Pollitt, 2023. "The momentum of the solar energy transition," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    57. Zhang, Guanglu & McAdams, Daniel A. & Shankar, Venkatesh & Darani, Milad Mohammadi, 2017. "Modeling the evolution of system technology performance when component and system technology performances interact: Commensalism and amensalism," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 116-124.
    58. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    59. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    60. Rashid Gill, Abid & Viswanathan, Kuperan K. & Hassan, Sallahuddin, 2018. "The Environmental Kuznets Curve (EKC) and the environmental problem of the day," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1636-1642.
    61. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    62. Vecchiato, Riccardo, 2020. "Analogical reasoning, cognition, and the response to technological change: Lessons from mobile communication," Research Policy, Elsevier, vol. 49(5).
    63. Guo, Shibo & Zhang, Zhentao & Guo, Erjing & Fu, Zhenzhen & Gong, Jingjin & Yang, Xiaoguang, 2022. "Historical and projected impacts of climate change and technology on soybean yield in China," Agricultural Systems, Elsevier, vol. 203(C).

  33. Robin L. Lumsdaine & Daniel N. Rockmore & Nicholas Foti & Gregory Leibon & J. Doyne Farmer, 2015. "The Intrafirm Complexity of Systemically Important Financial Institutions," Papers 1505.02305, arXiv.org.

    Cited by:

    1. Mark D. Flood & Dror Y. Kenett & Robin L. Lumsdaine & Jonathan K. Simon, 2017. "The Complexity of Bank Holding Companies: A Topological Approach," NBER Working Papers 23755, National Bureau of Economic Research, Inc.
    2. Samuel Antill & Asani Sarkar, 2018. "Is size everything?," Staff Reports 864, Federal Reserve Bank of New York.
    3. Jacopo Carmassi & Richard Herring, 2016. "The Corporate Complexity of Global Systemically Important Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 175-201, June.
    4. Mark D. Flood & Dror Y. Kenett & Robin L. Lumsdaine & Jonathan J. Simon, 2017. "The Complexity of Bank Holding Companies: A New Measurement Approach," Working Papers 17-03, Office of Financial Research, US Department of the Treasury.

  34. Christoph Aymanns & Fabio Caccioli & J. Doyne Farmer & Vincent W. C. Tan, 2015. "Taming the Basel Leverage Cycle," Papers 1507.04136, arXiv.org.

    Cited by:

    1. Nava, Noemi & Di Matteo, T. & Aste, Tomaso, 2018. "Dynamic correlations at different time-scales with empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 534-544.
    2. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    3. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    4. Marcus Miller & Lei Zhang & Songklod Rastapana, 2017. "Subprime assets and financial crisis: theory, policy and the law," CAGE Online Working Paper Series 340, Competitive Advantage in the Global Economy (CAGE).
    5. Jondeau, Eric & Khalilzadeh, Amir, 2017. "Collateralization, leverage, and stressed expected loss," Journal of Financial Stability, Elsevier, vol. 33(C), pages 226-243.
    6. Gaffeo, Edoardo, 2019. "Leverage and evolving heterogeneous beliefs in a simple agent-based financial market," Finance Research Letters, Elsevier, vol. 29(C), pages 272-279.
    7. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    8. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    9. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    10. Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.
    11. 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.
    12. Nava, Noemi & Di Matteo, Tiziana & Aste, Tomaso, 2018. "Financial time series forecasting using empirical mode decomposition and support vector regression," LSE Research Online Documents on Economics 91028, London School of Economics and Political Science, LSE Library.
    13. Noemi Nava & Tiziana Di Matteo & Tomaso Aste, 2018. "Financial Time Series Forecasting Using Empirical Mode Decomposition and Support Vector Regression," Risks, MDPI, vol. 6(1), pages 1-21, February.
    14. Mariya Gubareva, 2019. "Weight of the Default Component of CDS Spreads: Avoiding Procyclicality in Credit Loss Provisioning Framework," Complexity, Hindawi, vol. 2019, pages 1-19, July.
    15. Llacay, Bàrbara & Peffer, Gilbert, 2017. "Impact of value-at-risk models on market stability," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 223-256.
    16. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    17. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
    18. 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.

  35. J. Doyne Farmer & John Geanakoplos & Jaume Masoliver & Miquel Montero & Josep Perello, 2014. "Discounting the Distant Future," Cowles Foundation Discussion Papers 1951, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Gollier, Christian, 2014. "Gamma discounters are short-termist," IDEI Working Papers 828, Institut d'Économie Industrielle (IDEI), Toulouse, revised Oct 2014.
    2. Katz, Yuri A., 2017. "Value of the distant future: Model-independent results," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 269-276.
    3. Jaume Masoliver & Miquel Montero & Josep Perelló, 2021. "Jump-Diffusion Models for Valuing the Future: Discounting under Extreme Situations," Mathematics, MDPI, vol. 9(14), pages 1-26, July.

  36. Christoph Aymanns & J. Doyne Farmer, 2014. "The dynamics of the leverage cycle," Papers 1407.5305, arXiv.org, revised Aug 2014.

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    2. Bakoush, Mohamed & Gerding, Enrico H. & Wolfe, Simon, 2019. "Margin requirements and systemic liquidity risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 78-95.
    3. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    4. Marc van Kralingen & Diego Garlaschelli & Karolina Scholtus & Iman van Lelyveld, 2020. "Crowded trades, market clustering, and price instability," Papers 2002.03319, arXiv.org.
    5. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    6. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    7. 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.
    8. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Jason Allen & Andrew Usher, 2020. "Investment dealer collateral and leverage procyclicality," Empirical Economics, Springer, vol. 58(2), pages 489-505, February.
    10. Aymanns, Christoph & Caccioli, Fabio & Farmer, J. Doyne & Tan, Vincent W.C., 2015. "Taming the Basel leverage cycle," LSE Research Online Documents on Economics 65089, London School of Economics and Political Science, LSE Library.
    11. 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.
    12. Braun-Munzinger, Karen & Liu, Zijun & Turrell, Arthur, 2016. "An agent-based model of dynamics in corporate bond trading," Bank of England working papers 592, Bank of England.
    13. Karel Janda & Oleg Kravtsov, 2018. "Basel III Leverage and Capital Ratio over the Economic Cycle in the Czech Republic and its Comparison with the CEE Region," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2018(4), pages 5-23.
    14. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    15. Sercin Sahin, 2021. "Consumer confidence, consumption, and macroeconomic fluctuations: A systemic stock‐flow consistent model," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 868-904, November.
    16. 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.
    17. Poledna, Sebastian & Molina-Borboa, José Luis & Martínez-Jaramillo, Serafín & van der Leij, Marco & Thurner, Stefan, 2015. "The multi-layer network nature of systemic risk and its implications for the costs of financial crises," Journal of Financial Stability, Elsevier, vol. 20(C), pages 70-81.
    18. Barbara Llacay & Gilbert Peffer, 2019. "Impact of Basel III Countercyclical Measures on Financial Stability: An Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(1), pages 1-6.
    19. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    20. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    21. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    22. van der Veer, Koen & Levels, Anouk & Lambert, Claudia & Weistroffer, Christian & Chaudron, Raymond & van Stralen, René de Sousa & Molestina Vivar, Luis, 2017. "Developing macroprudential policy for alternative investment funds," Occasional Paper Series 202, European Central Bank.
    23. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    24. 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.
    25. Llacay, Bàrbara & Peffer, Gilbert, 2017. "Impact of value-at-risk models on market stability," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 223-256.
    26. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    27. Nils Bertschinger & Oliver Pfante, 2020. "Early Warning Signs of Financial Market Turmoils," JRFM, MDPI, vol. 13(12), pages 1-24, November.

  37. Peter Klimek & Sebastian Poledna & J. Doyne Farmer & Stefan Thurner, 2014. "To bail-out or to bail-in? Answers from an agent-based model," Papers 1403.1548, arXiv.org.

    Cited by:

    1. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    2. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    3. Hryckiewicz, Aneta & Kryg, Natalia & Tsomocos, Dimitrios P., 2023. "Bank resolution mechanisms revisited: Towards a new era of restructuring," Journal of Financial Stability, Elsevier, vol. 67(C).
    4. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Beck, Thorsten & Radev, Dayen & Schnabel, Isabel, 2020. "Bank Resolution Regimes and Systemic Risk," CEPR Discussion Papers 14724, C.E.P.R. Discussion Papers.
    6. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    7. 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).
    8. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2023. "Systemically important banks - emerging risk and policy responses: An agent-based investigation," LEM Papers Series 2023/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    10. 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.
    11. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    12. King, Michael R., 2019. "Time to buy or just buying time? Lessons from October 2008 for the cross-border bailout of banks," Journal of Financial Stability, Elsevier, vol. 41(C), pages 55-72.
    13. Farmer, J. Doyne & Goodhart, C. A. E. & Kleinnijenhuis, Alissa M., 2021. "Systemic implications of the bail-in design," LSE Research Online Documents on Economics 111903, London School of Economics and Political Science, LSE Library.
    14. 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.
    15. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    16. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Carlos Eduardo de Almeida, 2019. "Bailing in Banks: costs and benefits," Working Papers Series 504, Central Bank of Brazil, Research Department.
    17. Yuanying Guan & Micah Pollak, 2016. "Contagion In Heterogeneous Financial Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-25, February.
    18. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    19. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    20. Poledna, Sebastian & Molina-Borboa, José Luis & Martínez-Jaramillo, Serafín & van der Leij, Marco & Thurner, Stefan, 2015. "The multi-layer network nature of systemic risk and its implications for the costs of financial crises," Journal of Financial Stability, Elsevier, vol. 20(C), pages 70-81.
    21. João Silvestre, 2017. "Sovereign default contagion: an agent-based model approach," Working Papers Department of Economics 2017/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    22. 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.
    23. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    24. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    25. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    26. Thorsten Beck & Samuel Da-Rocha-Lopes & André F Silva & Francesca Cornelli, 2021. "Sharing the Pain? Credit Supply and Real Effects of Bank Bail-ins [High wage workers and high wage firms]," The Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 1747-1788.
    27. Correia, Ricardo & Dubiel-Teleszynski, Tomasz & Población, Javier, 2019. "Anticipating individual bank rescues," Economic Modelling, Elsevier, vol. 82(C), pages 345-360.
    28. Tian, Songtao & Liu, Zhirong, 2020. "Emergence of income inequality: Origin, distribution and possible policies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    29. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    30. 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).
    31. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    32. Annika Westphal, 2015. "Systemic Risk in the European Union: A Network Approach to Banks’ Sovereign Debt Exposures," IJFS, MDPI, vol. 3(3), pages 1-36, July.
    33. Polyzos, Stathis & Samitas, Aristeidis & Katsaiti, Marina-Selini, 2020. "Who is unhappy for Brexit? A machine-learning, agent-based study on financial instability," International Review of Financial Analysis, Elsevier, vol. 72(C).
    34. 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.
    35. Lorenzo Pandolfi, 2022. "Bail-in and Bailout: Friends or Foes?," Management Science, INFORMS, vol. 68(2), pages 1450-1468, February.
    36. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    37. Florian Chávez-Juárez, 2017. "On the Role of Agent-based Modeling in the Theory of Development Economics," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 713-730, August.
    38. Andrzej R. Stopczyński, 2020. "Banki na progu upadłości – refleksje nad postępowaniem," Bank i Kredyt, Narodowy Bank Polski, vol. 51(5), pages 517-548.
    39. 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.
    40. Lorenzo Pandolfi, 2018. "Bail-in vs. Bailout: a False Dilemma?," CSEF Working Papers 499, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    41. 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.

  38. Elia Zarinelli & Michele Treccani & J. Doyne Farmer & Fabrizio Lillo, 2014. "Beyond the square root: Evidence for logarithmic dependence of market impact on size and participation rate," Papers 1412.2152, arXiv.org.

    Cited by:

    1. Gianbiagio Curato & Jim Gatheral & Fabrizio Lillo, 2014. "Optimal execution with nonlinear transient market impact," Papers 1412.4839, arXiv.org.
    2. Marek Andrzej Kocinski, 2021. "The Analysis of Some Trading Strategy on the Stock Market with the Liquidity Shortage," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 273-286.
    3. Jonathan Donier & Julius Bonart, 2014. "A Million Metaorder Analysis of Market Impact on the Bitcoin," Papers 1412.4503, arXiv.org, revised Sep 2015.
    4. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.

  39. 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.

    Cited by:

    1. Georgescu, Oana-Maria, 2015. "Contagion in the interbank market: Funding versus regulatory constraints," Journal of Financial Stability, Elsevier, vol. 18(C), pages 1-18.
    2. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019. "Interconnectedness in the interbank market," Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
    4. Farmer, J. Doyne & Goodhart, C. A. E. & Kleinnijenhuis, Alissa M., 2021. "Systemic implications of the bail-in design," LSE Research Online Documents on Economics 111903, London School of Economics and Political Science, LSE Library.
    5. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    6. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Aymanns, Christopher, 2018. "Models of Financial Stability and Their Application in Stress Tests," INET Oxford Working Papers 2018-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    7. Peilong Shen & Zhinan Li, 2020. "Financial contagion in inter-bank networks with overlapping portfolios," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 845-865, October.
    8. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    9. Farmer, J. Doyne & Wiersema, Garbrand & Kemp, Esti, 2023. "Liquidity Spirals," INET Oxford Working Papers 2023-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    10. Amzallag, Adrien & Blau, Maximilian L., 2017. "Tracing European structured finance counterparty networks," Occasional Paper Series 199, European Central Bank.
    11. Emmanuel Caiazzo & Alberto Zazzaro, 2023. "Bank Diversity and Financial Contagion," CSEF Working Papers 667, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

  40. Sebastian Poledna & Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2013. "Leverage-induced systemic risk under Basle II and other credit risk policies," Papers 1301.6114, arXiv.org, revised Jan 2014.

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    2. Thonifho Pollen Muridili & Ruschelle Sgammini & Sune Ferreira-Schenk & John George Jansen van Rensburg & Daniel Mokatsanyane, 2022. "The Impact of Covid-19 on the Performance of Hedge Funds Compared to Mutual Funds in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 12(6), pages 133-144, November.
    3. Aymeric Vie & J. Doyne Farmer, 2023. "Towards Evology: a Market Ecology Agent-Based Model of US Equity Mutual Funds II," Papers 2302.01216, arXiv.org.
    4. Naji Massad & Jørgen Vitting Andersen, 2017. "Three different ways synchronization can cause contagion in financial markets," Post-Print halshs-01673333, HAL.
    5. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    6. Christoph Aymanns & Co-Pierre Georg, 2014. "Contagious Synchronization and Endogenous Network Formation in Financial Networks," Papers 1408.0440, arXiv.org.
    7. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    8. Schmitt, Noemi & Westerhoff, Frank H., 2019. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," BERG Working Paper Series 151, Bamberg University, Bamberg Economic Research Group.
    9. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    10. 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.
    11. Peter Klimek & Sebastian Poledna & J. Doyne Farmer & Stefan Thurner, 2014. "To bail-out or to bail-in? Answers from an agent-based model," Papers 1403.1548, arXiv.org.
    12. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    13. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Hedging against Risk in a Heterogeneous Leveraged Market," Economic Research Papers 270010, University of Warwick - Department of Economics.
    14. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    15. 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.
    16. Naji Massad & Jørgen Vitting Andersen, 2018. "Three Different Ways Synchronization Can Cause Contagion in Financial Markets," Risks, MDPI, vol. 6(4), pages 1-13, September.
    17. Lillo, Fabrizio & Pirino, Davide, 2015. "The impact of systemic and illiquidity risk on financing with risky collateral," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 180-202.
    18. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Aymanns, Christopher, 2018. "Models of Financial Stability and Their Application in Stress Tests," INET Oxford Working Papers 2018-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    19. Naji Massad & Jørgen Vitting Andersen, 2017. "Three different ways synchronization can cause contagion in financial markets," Documents de travail du Centre d'Economie de la Sorbonne 17059, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    20. Zhao, Zhijun & Zhang, Xiaoqi, 2022. "A continuous heterogeneous-agent model for the co-evolution of asset price and wealth distribution in financial market," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    21. Naji Massad & Jørgen Vitting Andersen, 2018. "Three Different Ways Synchronization Can Cause Contagion in Financial Markets," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01951164, HAL.
    22. Poledna, Sebastian & Molina-Borboa, José Luis & Martínez-Jaramillo, Serafín & van der Leij, Marco & Thurner, Stefan, 2015. "The multi-layer network nature of systemic risk and its implications for the costs of financial crises," Journal of Financial Stability, Elsevier, vol. 20(C), pages 70-81.
    23. Naji Massad & Jørgen Vitting Andersen, 2018. "Three Different Ways Synchronization Can Cause Contagion in Financial Markets," Post-Print hal-01951164, HAL.
    24. 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.
    25. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    26. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    27. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    28. Naji Massad & J{o}rgen Vitting Andersen, 2019. "Three Different Ways Synchronization Can Cause Contagion in Financial Markets," Papers 1902.10800, arXiv.org.
    29. Khaldoun Khashanah & Talal Alsulaiman, 2017. "Connectivity, Information Jumps, and Market Stability: An Agent-Based Approach," Complexity, Hindawi, vol. 2017, pages 1-16, August.
    30. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    31. Naji Massad & Jørgen Vitting Andersen, 2017. "Three different ways synchronization can cause contagion in financial markets," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01673333, HAL.
    32. 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.
    33. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    34. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    35. Charles-Cadogan, G., 2021. "Market Instability, Investor Sentiment, And Probability Judgment Error in Index Option Prices," CRETA Online Discussion Paper Series 71, Centre for Research in Economic Theory and its Applications CRETA.
    36. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    37. Adachi-Sato, Meg & Vithessonthi, Chaiporn, 2021. "Bank risk-taking and corporate investment: Evidence from the Global Financial Crisis of 2007–2009," Global Finance Journal, Elsevier, vol. 49(C).

  41. Jaume Masoliver & Miquel Montero & Josep Perell'o & John Geanakoplos & J. Doyne Farmer, 2013. "Uncertain growth and the value of the future," Papers 1311.4068, arXiv.org.

    Cited by:

    1. Rob Aalbers & Marjon Ruijter & Kees Oosterlee, 2014. "The social discount rate under a stochastic A2 scenario," CPB Discussion Paper 296, CPB Netherlands Bureau for Economic Policy Analysis.

  42. John Geanakoplos & Robert Axtell & Doyne J. Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," Cowles Foundation Discussion Papers 1852, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    4. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    5. Dimitrios Laliotis & Alejandro Buesa & Miha Leber & Javier Población, 2020. "An agent-based model for the assessment of LTV caps," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1721-1748, October.
    6. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    7. Molood Ale Ebrahim Dehkordi & Amineh Ghorbani & Giangiacomo Bravo & Mike Farjam & René van Weeren & Anders Forsman & Tine De Moor, 2021. "Long-Term Dynamics of Institutions: Using ABM as a Complementary Tool to Support Theory Development in Historical Studies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(4), pages 1-7.
    8. Nicoletta Batini & Mr. Giovanni Melina & Stefania Villa, 2016. "Fiscal Buffers, Private Debt, and Stagnation: The Good, the Bad and the Ugly," IMF Working Papers 2016/104, International Monetary Fund.
    9. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    10. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    11. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    12. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    13. Trond G. Husby & Elco E. Koks, 2017. "Household migration in disaster impact analysis: incorporating behavioural responses to risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 287-305, May.
    14. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    15. Frank McGroarty & Ash Booth & Enrico Gerding & V. L. Raju Chinthalapati, 2019. "High frequency trading strategies, market fragility and price spikes: an agent based model perspective," Annals of Operations Research, Springer, vol. 282(1), pages 217-244, November.
    16. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret, 2015. "Exploring sprawl: Results from an economic agent-based model of land and housing markets," Ecological Economics, Elsevier, vol. 113(C), pages 114-125.
    17. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    18. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    19. Gao, Lin, 2017. "Between Trust and Performance: Exploring Socio-Economic Mechanisms on Directed Weighted Regular Ring with Agent-Based Modeling," MPRA Paper 78428, University Library of Munich, Germany.
    20. 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.
    21. Alqaralleh, Huthaifa & Canepa, Alessandra, 2020. "Housing market cycles in large urban areas," Economic Modelling, Elsevier, vol. 92(C), pages 257-267.
    22. Gross, Marco & Población, Javier, 2017. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Economic Modelling, Elsevier, vol. 61(C), pages 510-528.
    23. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    24. Yifei Wu & Jeffrey H Dorfman, 2018. "Reducing residential mortgage default: Should policy act before or after home purchases?," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    25. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    26. Corrado Monti & Marco Pangallo & Gianmarco De Francisci Morales & Francesco Bonchi, 2022. "On learning agent-based models from data," Papers 2205.05052, arXiv.org, revised Nov 2022.
    27. Chiang, Shu-hen & Chen, Chien-Fu, 2022. "From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    28. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    29. Dag Einar Sommervoll & Jan de Haan, 2014. "Homes and Castles: Should We Care about Idiosyncratic Risk?," Land Economics, University of Wisconsin Press, vol. 90(4), pages 700-716.
    30. Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
    31. Miguel Angel Iraola & Juan Pablo Torres-Martinez, 2012. "Liquidity Contractions and Prepayment Risk on Collateralized Asset Markets," Working Papers 1204, Centro de Investigacion Economica, ITAM.
    32. Robert L. Axtell & Omar A. Guerrero & Eduardo L'opez, 2019. "Frictional Unemployment on Labor Flow Networks," Papers 1903.04954, arXiv.org.
    33. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    34. Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
    35. Batini, Nicoletta & Melina, Giovanni & Villa, Stefania, 2019. "Fiscal buffers, private debt, and recession: The good, the bad and the ugly," Journal of Macroeconomics, Elsevier, vol. 62(C).
    36. Neuberger, Doris & Rissi, Roger, 2012. "Macroprudential banking regulation: Does one size fit all?," Thuenen-Series of Applied Economic Theory 124, University of Rostock, Institute of Economics.
    37. Martin Guzman & Peter Howitt, 2016. "Learning, Expectations, and the Financial Instability Hypothesis," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 6, pages 50-60, Palgrave Macmillan.
    38. 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.
    39. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    40. John Muellbauer, 2016. "Macroeconomics and Consumption," Economics Series Working Papers Paper-811, University of Oxford, Department of Economics.
    41. Roy Kouwenberg & Remco C J Zwinkels, 2015. "Endogenous Price Bubbles in a Multi-Agent System of the Housing Market," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-10, June.
    42. Yun Liu, 2022. "Housing and monetary policy: Fresh evidence from China," Financial Economics Letters, Anser Press, vol. 1(1), pages 1-12, December.
    43. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    44. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    45. Marco Pangallo & Jean Pierre Nadal & Annick Vignes, 2016. "Residential income segregation: A behavioral model of the housing market," Papers 1606.00424, arXiv.org, revised Oct 2018.
    46. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
    47. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.
    48. Hanappi, Hardy, 2017. "Agent-based modelling. History, essence, future," MPRA Paper 79331, University Library of Munich, Germany.
    49. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    50. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    51. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    52. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    53. Timothy C Haas & Sam M Ferreira, 2016. "Combating Rhino Horn Trafficking: The Need to Disrupt Criminal Networks," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-26, November.
    54. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    55. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    56. 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.
    57. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    58. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2016. "The Network Composition of Aggregate Unemployment," MPRA Paper 68962, University Library of Munich, Germany.
    59. Lo Andrew W., 2019. "The Visible Hand," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(3), pages 1-5, December.
    60. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    61. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    62. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    63. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    64. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    65. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    66. Filandri, Marianna & Pasqua, Silvia & Priori, Eleonora, 2023. "Breaking through the glass ceiling. Simulating policies to close the gender gap in the Italian academia," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    67. Gräbner, Claudius, 2015. "Formal Approaches to Socio Economic Policy Analysis - Past and Perspectives," MPRA Paper 61348, University Library of Munich, Germany.
    68. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2018. "Multi-unit multiple bid auctions in balancing markets: an agent-based Q-learning approach," EWI Working Papers 2018-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    69. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    70. Yang, Xiaoliang & Zhou, Peng, 2022. "Wealth inequality and social mobility: A simulation-based modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 307-329.
    71. Dieci, Roberto & Westerhoff, Frank, 2015. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear dynamics approach," BERG Working Paper Series 99, Bamberg University, Bamberg Economic Research Group.
    72. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    73. Benjamin Patrick Evans & Kirill Glavatskiy & Michael S. Harré & Mikhail Prokopenko, 2023. "The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 5-57, January.
    74. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
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    76. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.
    77. Gao, Lin, 2016. "Trust and Performance: Exploring Socio-Economic Mechanisms in the “Deep” Network Structure with Agent-Based Modeling," MPRA Paper 75214, University Library of Munich, Germany.
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    Cited by:

    1. Calimani, Susanna & Hałaj, Grzegorz & Żochowski, Dawid, 2022. "Simulating fire sales in a system of banks and asset managers," Journal of Banking & Finance, Elsevier, vol. 138(C).
    2. Roncoroni, Alan & Battiston, Stefano & Escobar-Farfán, Luis O.L. & Martinez-Jaramillo, Serafin, 2021. "Climate risk and financial stability in the network of banks and investment funds," Journal of Financial Stability, Elsevier, vol. 54(C).
    3. Ramadiah, Amanah & Caccioli, Fabio & Fricke, Daniel, 2018. "Reconstructing and stress testing credit networks," ESRB Working Paper Series 84, European Systemic Risk Board.
    4. Fricke, Christoph & Fricke, Daniel, 2017. "Vulnerable asset management? The case of mutual funds," Discussion Papers 32/2017, Deutsche Bundesbank.
    5. Giuseppe Brandi & Riccardo Di Clemente & Giulio Cimini, 2016. "Epidemics of Liquidity Shortages in Interbank Markets," Papers 1610.03259, arXiv.org, revised May 2018.
    6. Fricke, Daniel & Roukny, Tarik, 2020. "Generalists and specialists in the credit market," Journal of Banking & Finance, Elsevier, vol. 112(C).
    7. Micah Pollak & Yuanying Guan, 2017. "Partially Overlapping Ownership and Contagion in Financial Networks," Complexity, Hindawi, vol. 2017, pages 1-16, November.
    8. Spiros Bougheas & Adam Hal Spencer, 2022. "Fire Sales and Ex Ante Valuation of Systemic Risk: A Financial Equilibrium Networks Approach," CESifo Working Paper Series 10111, CESifo.
    9. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    10. Anton Pichler & Sebastian Poledna & Stefan Thurner, 2018. "Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem," Papers 1801.10515, arXiv.org, revised Mar 2018.
    11. Yongli Li & Guanghe Liu & Paolo Pin, 2018. "Network-based risk measurements for interbank systems," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    12. Marc van Kralingen & Diego Garlaschelli & Karolina Scholtus & Iman van Lelyveld, 2020. "Crowded trades, market clustering, and price instability," Papers 2002.03319, arXiv.org.
    13. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    14. Daniel Grigat & Fabio Caccioli, 2017. "Reverse stress testing interbank networks," Papers 1702.08744, arXiv.org, revised Mar 2017.
    15. Hu Wang & Shouwei Li, 2023. "Identifying Systemically Important Banks Based on an Improved DebtRank Model," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1505-1523, December.
    16. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    17. T. R. Hurd, 2017. "Bank Panics and Fire Sales, Insolvency and Illiquidity," Papers 1711.05289, arXiv.org.
    18. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2015. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 71-79.
    19. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
    20. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    21. Ben R. Craig & Margherita Giuzio & Sandra Paterlini, 2019. "The Effect of Possible EU Diversification Requirements on the Risk of Banks’ Sovereign Bond Portfolios," Working Papers 19-12, Federal Reserve Bank of Cleveland.
    22. Zachary Feinstein, 2018. "Capital Regulation under Price Impacts and Dynamic Financial Contagion," Papers 1807.02711, arXiv.org, revised Aug 2019.
    23. Hong Fan & Chirongo Moses Keregero & Qianqian Gao, 2018. "The Application of Macroprudential Capital Requirements in Managing Systemic Risk," Complexity, Hindawi, vol. 2018, pages 1-15, January.
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    161. Levy-Carciente, Sary & Kenett, Dror Y. & Avakian, Adam & Stanley, H. Eugene & Havlin, Shlomo, 2015. "Dynamical macroprudential stress testing using network theory," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 164-181.
    162. Chen, Naixi & Fan, Hong, 2023. "Credit risk contagion and optimal dual control—An SIS/R model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 210(C), pages 448-472.
    163. Shan Lu & Jichang Zhao & Huiwen Wang, 2019. "The emergence of critical stocks in market crash," Papers 1908.07244, arXiv.org.
    164. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    165. Ma, Jing & He, Jianmin & Liu, Xiaoxing & Wang, Chao, 2019. "Diversification and systemic risk in the banking system," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 413-421.
    166. Oliver Kley & Claudia Klüppelberg & Gesine Reinert, 2016. "Risk in a Large Claims Insurance Market with Bipartite Graph Structure," Operations Research, INFORMS, vol. 64(5), pages 1159-1176, October.
    167. Giulia Poce & Giulio Cimini & Andrea Gabrielli & Andrea Zaccaria & Giuditta Baldacci & Marco Polito & Mariangela Rizzo & Silvia Sabatini, 2016. "What do central counterparties default funds really cover? A network-based stress test answer," Papers 1611.03782, arXiv.org.
    168. Domenico Di Gangi & Fabrizio Lillo & Davide Pirino, 2015. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Papers 1509.00607, arXiv.org, revised Jul 2018.
    169. Paul Glasserman & H. Peyton Young, 2016. "Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September.
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    173. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    174. Alessandro Micheli & Eyal Neuman, 2020. "Evidence of Crowding on Russell 3000 Reconstitution Events," Papers 2006.07456, arXiv.org, revised Sep 2022.
    175. Bucci, Alberto & La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2019. "Financial contagion and economic development: An epidemiological approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 211-228.
    176. Maehashi, Kohei, 2021. "Systemic risk of portfolio diversification," Economics Letters, Elsevier, vol. 208(C).
    177. Jean-Philippe Bouchaud & Matteo Marsili & Jean-Pierre Nadal, 2023. "Application of spin glass ideas in social sciences, economics and finance," Papers 2306.16165, arXiv.org.

  44. Bela Nagy & J. Doyne Farmer & Quan M. Bui & Jessika E. Trancik, 2012. "Statistical Basis for Predicting Technological Progress," Papers 1207.1463, arXiv.org.

    Cited by:

    1. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    2. Bergesen, Joseph D. & Suh, Sangwon, 2016. "A framework for technological learning in the supply chain: A case study on CdTe photovoltaics," Applied Energy, Elsevier, vol. 169(C), pages 721-728.
    3. Lafond, François & Farmer, J. Doyne & Greenwald, Diana, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," INET Oxford Working Papers 2020-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Hetong Wang & Kuishuang Feng & Peng Wang & Yuyao Yang & Laixiang Sun & Fan Yang & Wei-Qiang Chen & Yiyi Zhang & Jiashuo Li, 2023. "China’s electric vehicle and climate ambitions jeopardized by surging critical material prices," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Gi-Young Chae & Seung-Hyun An & Chul-Yong Lee, 2021. "Demand Forecasting for Liquified Natural Gas Bunkering by Country and Region Using Meta-Analysis and Artificial Intelligence," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    6. Xaviery N. Penisa & Michael T. Castro & Jethro Daniel A. Pascasio & Eugene A. Esparcia & Oliver Schmidt & Joey D. Ocon, 2020. "Projecting the Price of Lithium-Ion NMC Battery Packs Using a Multifactor Learning Curve Model," Energies, MDPI, vol. 13(20), pages 1-18, October.
    7. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    8. Moglianesi, Andrea & Keppo, Ilkka & Lerede, Daniele & Savoldi, Laura, 2023. "Role of technology learning in the decarbonization of the iron and steel sector: An energy system approach using a global-scale optimization model," Energy, Elsevier, vol. 274(C).
    9. Philip Metzger, 2023. "Economics of In-Space Industry and Competitiveness of Lunar-Derived Rocket Propellant," Papers 2303.09011, arXiv.org.
    10. Salvador Pueyo, 2014. "Ecological Econophysics for Degrowth," Sustainability, MDPI, vol. 6(6), pages 1-53, May.
    11. Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    12. Salvador Pueyo, 2019. "Limits to green growth and the dynamics of innovation," Papers 1904.09586, arXiv.org, revised May 2019.
    13. Rick Kotze & Alan C. Brent & Josephine Musango & Imke de Kock & Leonard A. Malczynski, 2021. "Investigating the Investments Required to Transition New Zealand’s Heavy-Duty Vehicles to Hydrogen," Energies, MDPI, vol. 14(6), pages 1-22, March.
    14. Mariam Barry & Giorgio Triulzi & Christopher L. Magee, 2017. "Food Productivity Trends from Hybrid Corn: Statistical Analysis of Patents and Field-test data," Papers 1706.05911, arXiv.org.
    15. Benjamin David, 2014. "On the information and communication technologies - productivity nexus: a long-lasting adjustment period," Working Papers hal-04141282, HAL.
    16. Gregory P. Casey, 2022. "Energy Efficiency and Directed Technical Change: Implications for Climate Change Mitigation," CESifo Working Paper Series 9580, CESifo.
    17. Boik, John C., 2016. "Optimality of Social Choice Systems: Complexity, Wisdom, and Wellbeing Centrality," OSF Preprints 75jh7, Center for Open Science.
    18. Reed, Jeffrey & Dailey, Emily & Shaffer, Brendan & Lane, Blake & Flores, Robert & Fong, Amber & Samuelsen, Scott, 2023. "Potential evolution of the renewable hydrogen sector using California as a reference market," Applied Energy, Elsevier, vol. 331(C).
    19. Guanglu Zhang & Douglas Allaire & Venkatesh Shankar & Daniel A McAdams, 2019. "A case against the trickle-down effect in technology ecosystems," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-7, June.
    20. Funk, Jeffrey L. & Magee, Christopher L., 2015. "Rapid improvements with no commercial production: How do the improvements occur?," Research Policy, Elsevier, vol. 44(3), pages 777-788.
    21. Benjamin David, 2014. "On the information and communication technologies - productivity nexus: a long-lasting adjustment period," EconomiX Working Papers 2014-60, University of Paris Nanterre, EconomiX.
    22. Santhakumar, Srinivasan & Smart, Gavin & Noonan, Miriam & Meerman, Hans & Faaij, André, 2022. "Technological progress observed for fixed-bottom offshore wind in the EU and UK," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    23. Franklyn Kanyako & Erin Baker, 2021. "Uncertainty analysis of the future cost of wind energy on climate change mitigation," Climatic Change, Springer, vol. 166(1), pages 1-17, May.
    24. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
    25. Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
    26. Prata, Ricardo & Carvalho, Pedro M.S., 2018. "Self-supply and regulated tariffs: Dynamic equilibria between photovoltaic market evolution and rate structures to ensure network sustainability," Utilities Policy, Elsevier, vol. 50(C), pages 111-123.
    27. Hann-Earl Kim & Yu-Sang Chang & Hee-Jin Kim, 2021. "Dynamic Electricity Intensity Trends in 91 Countries," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    28. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.
    29. Pfeiffer, Alexander & Millar, Richard & Hepburn, Cameron & Beinhocker, Eric, 2016. "The ‘2°C capital stock’ for electricity generation: Committed cumulative carbon emissions from the electricity generation sector and the transition to a green economy," Applied Energy, Elsevier, vol. 179(C), pages 1395-1408.
    30. Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.
    31. Christopher L. Magee & Tessaleno C. Devezas, 2016. "A Simple extension of Dematerialization Theory: Incorporation of Technical Progress and the Rebound Effect," Papers 1602.00090, arXiv.org.
    32. Lane, Blake & Kinnon, Michael Mac & Shaffer, Brendan & Samuelsen, Scott, 2022. "Deployment planning tool for environmentally sensitive heavy-duty vehicles and fueling infrastructure," Energy Policy, Elsevier, vol. 171(C).
    33. Alexander Kott, 2020. "Toward universal laws of technology evolution: modeling multi-century advances in mobile direct-fire systems," The Journal of Defense Modeling and Simulation, , vol. 17(4), pages 373-388, October.
    34. Joshua S. Gans & Michael Kearney & Erin L. Scott & Scott Stern, 2020. "Choosing Technology: An Entrepreneurial Strategy Approach," NBER Working Papers 27489, National Bureau of Economic Research, Inc.
    35. Das, Saptarshi & Hittinger, Eric & Williams, Eric, 2020. "Learning is not enough: Diminishing marginal revenues and increasing abatement costs of wind and solar," Renewable Energy, Elsevier, vol. 156(C), pages 634-644.
    36. Mario Coccia, 2019. "Technological Parasitism," Papers 1901.09073, arXiv.org.
    37. Nykvist, Björn & Sprei, Frances & Nilsson, Måns, 2019. "Assessing the progress toward lower priced long range battery electric vehicles," Energy Policy, Elsevier, vol. 124(C), pages 144-155.
    38. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    39. Gilmore, Elisabeth A. & Blohm, Andrew & Sinsabaugh, Steven, 2014. "An economic and environmental assessment of transporting bulk energy from a grazing ocean thermal energy conversion facility," Renewable Energy, Elsevier, vol. 71(C), pages 361-367.
    40. Christopher L Benson & Christopher L Magee, 2015. "Quantitative Determination of Technological Improvement from Patent Data," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-23, April.
    41. Abdulla Kaya & Denes Csala & Sgouris Sgouridis, 2017. "Constant elasticity of substitution functions for energy modeling in general equilibrium integrated assessment models: a critical review and recommendations," Climatic Change, Springer, vol. 145(1), pages 27-40, November.
    42. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    43. Ashwin K Seshadri, 2018. "Economics of carbon-dioxide abatement under an exogenous constraint on cumulative emissions," Papers 1808.08717, arXiv.org, revised Jun 2020.
    44. Kavlak, Goksin & McNerney, James & Trancik, Jessika E., 2018. "Evaluating the causes of cost reduction in photovoltaic modules," Energy Policy, Elsevier, vol. 123(C), pages 700-710.
    45. Nicolas Schmid & Leonore Haelg & Sebastian Sewerin & Tobias S. Schmidt & Irina Simmen, 2021. "Governing complex societal problems: The impact of private on public regulation through technological change," Regulation & Governance, John Wiley & Sons, vol. 15(3), pages 840-855, July.
    46. Erin Baker & Olaitan Olaleye & Lara Aleluia Reis, 2015. "Decision Frameworks and the Investment in R&D," Working Papers 2015.42, Fondazione Eni Enrico Mattei.
    47. Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.
    48. Giovanni Dosi & Marco Grazzi & Nanditha Mathew, 2016. "The cost-quantity relations and the diverse patterns of "learning by doing": Evidence from India," LEM Papers Series 2016/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    49. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    50. Ding, H. & Zhou, D.Q. & Liu, G.Q. & Zhou, P., 2020. "Cost reduction or electricity penetration: Government R&D-induced PV development and future policy schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    51. Li, Yanan & Lin, Jun & Qian, Yanjun & Li, Dehong, 2023. "Feed-in tariff policy for biomass power generation: Incorporating the feedstock acquisition process," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1113-1132.
    52. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    53. Özdemir, Özge & Hobbs, Benjamin F. & van Hout, Marit & Koutstaal, Paul R., 2020. "Capacity vs energy subsidies for promoting renewable investment: Benefits and costs for the EU power market," Energy Policy, Elsevier, vol. 137(C).
    54. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    55. Gilmore, Nicholas & Koskinen, Ilpo & van Gennip, Domenique & Paget, Greta & Burr, Patrick A. & Obbard, Edward G. & Daiyan, Rahman & Sproul, Alistair & Kay, Merlinde & Lennon, Alison & Konstantinou, Ge, 2022. "Clean energy futures: An Australian based foresight study," Energy, Elsevier, vol. 260(C).
    56. Gruetzemacher, Ross & Dorner, Florian E. & Bernaola-Alvarez, Niko & Giattino, Charlie & Manheim, David, 2021. "Forecasting AI progress: A research agenda," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    57. Sgouris Sgouridis & Abdulla Kaya & Denes Csala, 2016. "Switching Economics for Physics and the Carbon Price Inflation: Problems in Integrated Assessment Models and their Implications," Papers 1603.06196, arXiv.org.
    58. Tibebu, Tiruwork B. & Hittinger, Eric & Miao, Qing & Williams, Eric, 2021. "What is the optimal subsidy for residential solar?," Energy Policy, Elsevier, vol. 155(C).
    59. Zhang, Guanglu & McAdams, Daniel A. & Shankar, Venkatesh & Darani, Milad Mohammadi, 2017. "Modeling the evolution of system technology performance when component and system technology performances interact: Commensalism and amensalism," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 116-124.
    60. Few, Sheridan & Schmidt, Oliver & Offer, Gregory J. & Brandon, Nigel & Nelson, Jenny & Gambhir, Ajay, 2018. "Prospective improvements in cost and cycle life of off-grid lithium-ion battery packs: An analysis informed by expert elicitations," Energy Policy, Elsevier, vol. 114(C), pages 578-590.
    61. Patrick Planing, 2017. "On the origin of innovations—the opportunity vacuum as a conceptual model for the explanation of innovation," Journal of Innovation and Entrepreneurship, Springer, vol. 6(1), pages 1-18, December.
    62. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    63. Baker, Erin & Bosetti, Valentina & Diaz Anadon, Laura & Henrion, Max & Aleluia Reis, Lara, 2015. "Future Costs of Key Low-Carbon Energy Technologies: Harmonization and Aggregation of Energy Technology Expert Elicitation Data," Climate Change and Sustainable Development 204890, Fondazione Eni Enrico Mattei (FEEM).
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  45. Fabio Caccioli & Jean-Philippe Bouchaud & J. Doyne Farmer, 2012. "A proposal for impact-adjusted valuation: Critical leverage and execution risk," Papers 1204.0922, arXiv.org, revised Aug 2012.

    Cited by:

    1. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2014. "$L_p$ regularized portfolio optimization," Papers 1404.4040, arXiv.org.
    2. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    3. Sebastian Poledna & Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2013. "Leverage-induced systemic risk under Basle II and other credit risk policies," Papers 1301.6114, arXiv.org, revised Jan 2014.
    4. Shanshan Jiang & Jie Wang & Ruiting Dong & Yutong Li & Min Xia, 2023. "Systemic Risk with Multi-Channel Risk Contagion in the Interbank Market," Sustainability, MDPI, vol. 15(3), pages 1-24, February.
    5. Thomas Breuer & Martin Summer & Branko Urošević, 2021. "Bank Solvency Stress Tests with Fire Sales (Thomas Breuer, Martin Summer, Branko Urošević)," Working Papers 235, Oesterreichische Nationalbank (Austrian Central Bank).
    6. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2016. "Liquidity Risk And Instabilities In Portfolio Optimization," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-28, August.

  46. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2011. "How efficiency shapes market impact," Papers 1102.5457, arXiv.org, revised Sep 2013.

    Cited by:

    1. Louis Saddier & Matteo Marsili, 2023. "A Bayesian theory of market impact," Papers 2303.08867, arXiv.org, revised Feb 2024.
    2. Emilio Said, 2019. "How Option Hedging Shapes Market Impact," Papers 1910.05056, arXiv.org, revised Nov 2019.
    3. Jonathan Donier & Jean-Philippe Bouchaud, 2015. "Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights," Post-Print hal-01277584, HAL.
    4. Ismael Lemhadri, 2018. "Market Impact in a Latent Order Book," Papers 1802.06101, arXiv.org, revised Sep 2020.
    5. Francesco Cordoni & Fabrizio Lillo, 2022. "Transient impact from the Nash equilibrium of a permanent market impact game," Papers 2205.00494, arXiv.org, revised Mar 2023.
    6. Fabrizio Lillo, 2021. "Order flow and price formation," Papers 2105.00521, arXiv.org.
    7. Emilio Said, 2022. "Market Impact: Empirical Evidence, Theory and Practice," Working Papers hal-03668669, HAL.
    8. Emilio Said & Ahmed Bel Hadj Ayed & Damien Thillou & Jean-Jacques Rabeyrin & Frédéric Abergel, 2020. "Market Impact: A Systematic Study of the High Frequency Options Market," Post-Print hal-02014248, HAL.
    9. Brunovský, Pavol & Černý, Aleš & Komadel, Ján, 2018. "Optimal trade execution under endogenous pressure to liquidate: Theory and numerical solutions," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1159-1171.
    10. Sergey Nadtochiy, 2020. "A simple microstructural explanation of the concavity of price impact," Papers 2001.01860, arXiv.org, revised Dec 2020.
    11. Emilio Said & Ahmed Bel Hadj Ayed & Alexandre Husson & Frédéric Abergel, 2018. "Market Impact: A Systematic Study of Limit Orders," Post-Print hal-01561128, HAL.
    12. Andre Cardoso Barato & Iacopo Mastromatteo & Marco Bardoscia & Matteo Marsili, 2011. "Impact of meta-order in the Minority Game," Papers 1112.3908, arXiv.org, revised Nov 2012.
    13. Jonathan Donier & Jean-Philippe Bouchaud, 2015. "Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-11, October.
    14. Ismael Lemhadri, 2018. "Market impact in a latent order book," Working Papers hal-01711192, HAL.
    15. 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.
    16. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2014. "$L_p$ regularized portfolio optimization," Papers 1404.4040, arXiv.org.
    17. Kyle Bechler & Michael Ludkovski, 2017. "Order Flows and Limit Order Book Resiliency on the Meso-Scale," Papers 1708.02715, arXiv.org.
    18. Thibault Jaisson, 2015. "Liquidity and Impact in Fair Markets," Papers 1506.02507, arXiv.org.
    19. Jean-Philippe Bouchaud, 2021. "The Inelastic Market Hypothesis: A Microstructural Interpretation," Papers 2108.00242, arXiv.org, revised Jan 2022.
    20. Weibing Huang & Charles-Albert Lehalle & Mathieu Rosenbaum, 2015. "Simulating and Analyzing Order Book Data: The Queue-Reactive Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 107-122, March.
    21. Jonathan Donier & Julius Bonart, 2014. "A Million Metaorder Analysis of Market Impact on the Bitcoin," Papers 1412.4503, arXiv.org, revised Sep 2015.
    22. Andrew C. Meldrum & Oleg Sokolinskiy, 2023. "The Effects of Volatility on Liquidity in the Treasury Market," Finance and Economics Discussion Series 2023-028, Board of Governors of the Federal Reserve System (U.S.).
    23. A. C. Barato & I. Mastromatteo & M. Bardoscia & M. Marsili, 2013. "Impact of meta-order in the Minority Game," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1343-1352, September.
    24. Matthew Dicks & Andrew Paskaramoorthy & Tim Gebbie, 2023. "Many learning agents interacting with an agent-based market model," Papers 2303.07393, arXiv.org, revised Nov 2023.
    25. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    26. Aurélien Alfonsi & Pierre Blanc, 2016. "Dynamic optimal execution in a mixed-market-impact Hawkes price model," Finance and Stochastics, Springer, vol. 20(1), pages 183-218, January.
    27. Emmanuel Bacry & Adrian Iuga & Matthieu Lasnier & Charles-Albert Lehalle, 2014. "Market impacts and the life cycle of investors orders," Papers 1412.0217, arXiv.org, revised Dec 2014.
    28. Damian Eduardo Taranto & Giacomo Bormetti & Fabrizio Lillo, 2014. "The adaptive nature of liquidity taking in limit order books," Papers 1403.0842, arXiv.org, revised Apr 2014.
    29. Thibault Jaisson, 2015. "Market impact as anticipation of the order flow imbalance," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1123-1135, July.
    30. Kyle Bechler & Mike Ludkovski, 2014. "Optimal Execution with Dynamic Order Flow Imbalance," Papers 1409.2618, arXiv.org, revised Oct 2014.
    31. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    32. Iacopo Mastromatteo & Bence Toth & Jean-Philippe Bouchaud, 2013. "Agent-based models for latent liquidity and concave price impact," Papers 1311.6262, arXiv.org, revised Dec 2014.
    33. J. Donier & J. Bonart & I. Mastromatteo & J.-P. Bouchaud, 2015. "A fully consistent, minimal model for non-linear market impact," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1109-1121, July.
    34. Çetin, Umut & Waelbroeck, Henri, 2023. "Power laws in market microstructure," LSE Research Online Documents on Economics 120809, London School of Economics and Political Science, LSE Library.
    35. Emilio Said, 2022. "Market Impact: Empirical Evidence, Theory and Practice," Papers 2205.07385, arXiv.org.
    36. Thibault Jaisson, 2014. "Market impact as anticipation of the order flow imbalance," Papers 1402.1288, arXiv.org.
    37. Emilio Said & Ahmed Bel Hadj Ayed & Alexandre Husson & Fr'ed'eric Abergel, 2018. "Market Impact: A Systematic Study of Limit Orders," Papers 1802.08502, arXiv.org, revised May 2022.
    38. Fabio Caccioli & Jean-Philippe Bouchaud & J. Doyne Farmer, 2012. "A proposal for impact-adjusted valuation: Critical leverage and execution risk," Papers 1204.0922, arXiv.org, revised Aug 2012.
    39. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    40. Aurélien Alfonsi & Pierre Blanc, 2016. "Dynamic optimal execution in a mixed-market-impact Hawkes price model," Finance and Stochastics, Springer, vol. 20(1), pages 183-218, January.
    41. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    42. Sergey Nadtochiy, 2022. "A simple microstructural explanation of the concavity of price impact," Mathematical Finance, Wiley Blackwell, vol. 32(1), pages 78-113, January.
    43. Paolo Barucca & Fabrizio Lillo, 2017. "Behind the price: on the role of agent's reflexivity in financial market microstructure," Papers 1708.07047, arXiv.org.
    44. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2016. "Liquidity Risk And Instabilities In Portfolio Optimization," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-28, August.
    45. Nataliya Bershova & Dmitry Rakhlin, 2013. "The non-linear market impact of large trades: evidence from buy-side order flow," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1759-1778, November.
    46. Umut c{C}etin & Henri Waelbroeck, 2020. "Informed trading, limit order book and implementation shortfall: equilibrium and asymptotics," Papers 2003.04425, arXiv.org.
    47. Elia Zarinelli & Michele Treccani & J. Doyne Farmer & Fabrizio Lillo, 2014. "Beyond the square root: Evidence for logarithmic dependence of market impact on size and participation rate," Papers 1412.2152, arXiv.org.
    48. Aurélien Alfonsi & Pierre Blanc, 2016. "Dynamic optimal execution in a mixed-market-impact Hawkes price model," Post-Print hal-00971369, HAL.
    49. John Cartlidge & Nigel P. Smart & Younes Talibi Alaoui, 2021. "Multi‐party computation mechanism for anonymous equity block trading: A secure implementation of turquoise plato uncross," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 239-267, October.
    50. Emilio Said, 2019. "How Option Hedging Shapes Market Impact," Working Papers hal-02310080, HAL.
    51. Emilio Said & Ahmed Bel Hadj Ayed & Damien Thillou & Jean-Jacques Rabeyrin & Fr'ed'eric Abergel, 2019. "Market Impact: A Systematic Study of the High Frequency Options Market," Papers 1902.05418, arXiv.org, revised May 2022.

  47. Bence Toth & Zoltan Eisler & Fabrizio Lillo & Julien Kockelkoren & Jean-Philippe Bouchaud & J. Doyne Farmer, 2011. "How does the market react to your order flow?," Papers 1104.0587, arXiv.org, revised May 2012.

    Cited by:

    1. Emilio Said, 2019. "How Option Hedging Shapes Market Impact," Papers 1910.05056, arXiv.org, revised Nov 2019.
    2. Gregoire Loeper, 2013. "Option pricing with linear market impact and non-linear Black and Scholes equations," Papers 1301.6252, arXiv.org, revised Aug 2016.
    3. Hiroyuki Moriya, 2017. "Quantized price volatility model for transaction data," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 397-408, December.
    4. Damien Challet & Nikita Gourianov, 2018. "Dynamical regularities of US equities opening and closing auctions," Post-Print hal-01702726, HAL.
    5. Pankaj Kumar, 2021. "Deep Hawkes Process for High-Frequency Market Making," Papers 2109.15110, arXiv.org.
    6. 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.
    7. Kyle Bechler & Michael Ludkovski, 2017. "Order Flows and Limit Order Book Resiliency on the Meso-Scale," Papers 1708.02715, arXiv.org.
    8. Li-Xin Zhong & Wen-Juan Xu & Fei Ren & Yong-Dong Shi, 2012. "Coupled effects of market impact and asymmetric sensitivity in financial markets," Papers 1209.3399, arXiv.org, revised Jan 2013.
    9. Damian Eduardo Taranto & Giacomo Bormetti & Jean-Philippe Bouchaud & Fabrizio Lillo & Bence Toth, 2016. "Linear models for the impact of order flow on prices I. Propagators: Transient vs. History Dependent Impact," Papers 1602.02735, arXiv.org.
    10. Zhong, Li-Xin & Xu, Wen-Juan & Ren, Fei & Shi, Yong-Dong, 2013. "Coupled effects of market impact and asymmetric sensitivity in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2139-2149.
    11. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    12. Bence Toth & Zoltan Eisler & Jean-Philippe Bouchaud, 2017. "The short-term price impact of trades is universal," Papers 1702.08029, arXiv.org, revised Jan 2018.
    13. Charles-Albert Lehalle & Othmane Mounjid, 2016. "Limit Order Strategic Placement with Adverse Selection Risk and the Role of Latency," Papers 1610.00261, arXiv.org, revised Mar 2018.
    14. Sandro Claudio Lera & Didier Sornette, 2015. "Currency target zone modeling: An interplay between physics and economics," Papers 1508.04754, arXiv.org, revised Oct 2015.
    15. Damian Eduardo Taranto & Giacomo Bormetti & Jean-Philippe Bouchaud & Fabrizio Lillo & Bence Toth, 2016. "Linear models for the impact of order flow on prices II. The Mixture Transition Distribution model," Papers 1604.07556, arXiv.org.
    16. Emilio Said, 2019. "How Option Hedging Shapes Market Impact," Working Papers hal-02310080, HAL.
    17. A. Gareche & G. Disdier & J. Kockelkoren & J. -P. Bouchaud, 2013. "A Fokker-Planck description for the queue dynamics of large tick stocks," Papers 1304.6819, arXiv.org.

  48. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.

    Cited by:

    1. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2017. "Mixture of Distribution Hypothesis: Analyzing daily liquidity frictions and information flows," Post-Print hal-01593402, HAL.
    2. F. Campigli & G. Bormetti & F. Lillo, 2022. "Measuring price impact and information content of trades in a time-varying setting," Papers 2212.12687, arXiv.org, revised Dec 2023.
    3. Aur'elien Alfonsi & Pierre Blanc, 2014. "Dynamic optimal execution in a mixed-market-impact Hawkes price model," Papers 1404.0648, arXiv.org, revised Jun 2015.
    4. Gulten Mero & Serge Darolles & Gaëlle Le Fol, 2015. "Financial Market Liquidity: Who Is Acting Strategically?," THEMA Working Papers 2015-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  49. Fabio Caccioli & Thomas A. Catanach & J. Doyne Farmer, 2011. "Heterogeneity, correlations and financial contagion," Papers 1109.1213, arXiv.org.

    Cited by:

    1. Calimani, Susanna & Hałaj, Grzegorz & Żochowski, Dawid, 2022. "Simulating fire sales in a system of banks and asset managers," Journal of Banking & Finance, Elsevier, vol. 138(C).
    2. Levan Efremidze & John Rutledge & Thomas D. Willett, 2016. "Capital Flow Surges As Bubbles: Behavioral Finance And Mckinnon’S Over-Borrowing Syndrome Extended," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(02), pages 1-27, June.
    3. Micah Pollak & Yuanying Guan, 2017. "Partially Overlapping Ownership and Contagion in Financial Networks," Complexity, Hindawi, vol. 2017, pages 1-16, November.
    4. Chinazzi, Matteo & Fagiolo, Giorgio & Reyes, Javier A. & Schiavo, Stefano, 2013. "Post-mortem examination of the international financial network," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1692-1713.
    5. 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.
    6. 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.
    7. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    8. Solomon Sorin & Golo Natasa, 2013. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall–Walras Disequilibrium," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 3(3), pages 167-260, October.
    9. Antoaneta Sergueiva, 2013. "Systemic Risk Identification, Modelling, Analysis, and Monitoring: An Integrated Approach," Papers 1310.6486, arXiv.org.
    10. Cheng, Xian & Zhao, Haichuan, 2019. "Modeling, analysis and mitigation of contagion in financial systems," Economic Modelling, Elsevier, vol. 76(C), pages 281-292.
    11. John Leventides & Kalliopi Loukaki & Vassilios G. Papavassiliou, 2019. "Simulating financial contagion dynamics in random interbank networks," Open Access publications 10197/9601, Research Repository, University College Dublin.
    12. Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
    13. A. V. Leonidov & E. L. Rumyantsev, 2014. "Systemic Interbank Network Risks in Russia," Papers 1410.0125, arXiv.org.
    14. Graham Bird & Wenti Du & Thomas Willett, 2017. "Behavioral Finance and Efficient Markets: What does the Euro Crisis Tell us?," Open Economies Review, Springer, vol. 28(2), pages 273-295, April.
    15. Leonidov, A.V. & Rumyantsev, E.L., 2016. "Default contagion risks in Russian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 36-48.
    16. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    17. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
    18. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    19. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    20. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    21. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2015. "DebtRank: A Microscopic Foundation for Shock Propagation," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    22. V. Sasidevan & Nils Bertschinger, 2019. "Systemic Risk: Fire-Walling Financial Systems Using Network-Based Approaches," Papers 1912.05273, arXiv.org.
    23. Everett Grant, 2018. "The Double-Edged Sword of Global Integration: Robustness, Fragility \& Contagion in the International Firm Network," 2018 Meeting Papers 506, Society for Economic Dynamics.
    24. Yuanying Guan & Micah Pollak, 2016. "Contagion In Heterogeneous Financial Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-25, February.
    25. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    26. Chen, Tingqiang & Wang, Jiepeng & Liu, Haifei & He, Yuanping, 2019. "Contagion model on counterparty credit risk in the CRT market by considering the heterogeneity of counterparties and preferential-random mixing attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 458-480.
    27. Marco Bardoscia & Fabio Caccioli & Juan Ignacio Perotti & Gianna Vivaldo & Guido Caldarelli, 2016. "Distress Propagation in Complex Networks: The Case of Non-Linear DebtRank," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-12, October.
    28. Kotlicki, Artur & Austin, Andrea & Humphry, David & Burnett, Hanna & Ridgill, Philip & Smith, Sam, 2023. "Network analysis of the UK reinsurance market," Bank of England working papers 1000, Bank of England.
    29. Yuanyuan Chang & Dena Firoozi & David Benatia, 2023. "Large Banks and Systemic Risk: Insights from a Mean-Field Game Model," Papers 2305.17830, arXiv.org, revised Aug 2023.
    30. Cameron Hepburn & Eric Beinhocker & J. Doyne Farmer & Alexander Teytelboym, 2014. "Resilient and Inclusive Prosperity within Planetary Boundaries," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(5), pages 76-92, September.
    31. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
    32. 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.
    33. Alexandre, Michel & Silva, Thiago Christiano & Michalak, Krzysztof & Rodrigues, Francisco Aparecido, 2023. "Does the default pecking order impact systemic risk? Evidence from Brazilian data," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1379-1391.
    34. Lasse Loepfe & Antonio Cabrales & Angel Sánchez, 2013. "Towards a Proper Assignment of Systemic Risk: The Combined Roles of Network Topology and Shock Characteristics," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    35. 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.
    36. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2016. "The Effect Of Heterogeneity On Financial Contagion Due To Overlapping Portfolios," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-20, December.
    37. 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.
    38. Caceres-Santos, Jonnathan & Rodriguez-Martinez, Anahi & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2020. "Systemic risk and other interdependencies among banks in Bolivia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    39. Amanda, Citra, 2023. "Rural banking spatial competition and stability," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 492-504.
    40. 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).
    41. 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).
    42. 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.
    43. 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.
    44. 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.
    45. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
    46. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    47. Roger Koppl & Stuart Kauffman & Giuseppe Longo & Teppo ­­­felin, 2015. "Economics for a creative world," Post-Print hal-01415131, HAL.
    48. 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.
    49. Fricke, Daniel & Lux, Thomas, 2012. "Core-periphery structure in the overnight money market: Evidence from the e-MID trading platform," Kiel Working Papers 1759, Kiel Institute for the World Economy (IfW Kiel).
    50. 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).
    51. Everett Grant & Julieta Yung, 2021. "The double‐edged sword of global integration: Robustness, fragility, and contagion in the international firm network," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 760-783, September.

  50. Gabriele La Spada & J. Doyne Farmer & Fabrizio Lillo, 2010. "Tick size and price diffusion," Papers 1009.2329, arXiv.org, revised Oct 2010.

    Cited by:

    1. Gabriele La Spada & Fabrizio Lillo, 2011. "The effect of round-off error on long memory processes," Papers 1107.4476, arXiv.org, revised Mar 2013.
    2. Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.

  51. Bence Toth & Fabrizio Lillo & J. Doyne Farmer, 2010. "Segmentation algorithm for non-stationary compound Poisson processes," Papers 1001.2549, arXiv.org, revised Feb 2011.

    Cited by:

    1. Kucharczyk, Daniel & Wyłomańska, Agnieszka & Zimroz, Radosław, 2017. "Structural break detection method based on the Adaptive Regression Splines technique," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 499-511.
    2. Siew Ann Cheong, 2013. "Econophysics: An Experimental Course for Advanced Undergraduates in the Nanyang Technological University," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 79-99, July.
    3. Fabrizio Lillo, 2021. "Order flow and price formation," Papers 2105.00521, arXiv.org.
    4. Kucharczyk, Daniel & Wyłomańska, Agnieszka & Sikora, Grzegorz, 2018. "Variance change point detection for fractional Brownian motion based on the likelihood ratio test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 439-450.
    5. B. Tóth & Z. Eisler & F. Lillo & J. Kockelkoren & J.-P. Bouchaud & J.D. Farmer, 2012. "How does the market react to your order flow?," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1015-1024, May.
    6. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2011. "The Japanese economy in crises: A time series segmentation study," Economics Discussion Papers 2011-24, Kiel Institute for the World Economy (IfW Kiel).
    7. Bence Toth & Yves Lemperiere & Cyril Deremble & Joachim de Lataillade & Julien Kockelkoren & Jean-Philippe Bouchaud, 2011. "Anomalous price impact and the critical nature of liquidity in financial markets," Papers 1105.1694, arXiv.org, revised Nov 2011.
    8. Lillo, Fabrizio & Pirino, Davide, 2015. "The impact of systemic and illiquidity risk on financing with risky collateral," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 180-202.
    9. Jonathan Donier & Julius Bonart, 2014. "A Million Metaorder Analysis of Market Impact on the Bitcoin," Papers 1412.4503, arXiv.org, revised Sep 2015.
    10. Sikora, Grzegorz & Wyłomańska, Agnieszka & Krapf, Diego, 2018. "Recurrence statistics for anomalous diffusion regime change detection," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 380-394.
    11. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2012. "The Japanese economy in crises: A time series segmentation study," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-81.
    12. Zhang, Yiting & Lee, Gladys Hui Ting & Wong, Jian Cheng & Kok, Jun Liang & Prusty, Manamohan & Cheong, Siew Ann, 2011. "Will the US economy recover in 2010? A minimal spanning tree study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2020-2050.
    13. Elia Zarinelli & Michele Treccani & J. Doyne Farmer & Fabrizio Lillo, 2014. "Beyond the square root: Evidence for logarithmic dependence of market impact on size and participation rate," Papers 1412.2152, arXiv.org.
    14. Michele Tumminello & Fabrizio Lillo & Jyrki Piilo & Rosario N. Mantegna, 2011. "Identification of clusters of investors from their real trading activity in a financial market," Papers 1107.3942, arXiv.org.

  52. Yonathan Schwarzkopf & J. Doyne Farmer, 2010. "An empirical study of the tails of mutual fund size," Papers 1005.4976, arXiv.org.

    Cited by:

    1. Andrea Flori & Fabrizio Lillo & Fabio Pammolli & Alessandro Spelta, 2018. "Better to stay apart: asset commonality, bipartite network centrality, and investment strategies," Papers 1811.01624, arXiv.org.

  53. Bence Toth & Janos Kertesz & J. Doyne Farmer, 2009. "Studies of the limit order book around large price changes," Papers 0901.0495, arXiv.org, revised Jun 2009.

    Cited by:

    1. Fabrizio Pomponio & Frédéric Abergel, 2013. "Multiple-limit trades : empirical facts and application to lead-lag measures," Post-Print hal-00745317, HAL.
    2. Hai-Chuan Xu & Wei Zhang & Yi-Fang Liu, 2013. "Short-term Market Reaction after Trading Halts in Chinese Stock Market," Papers 1309.1138, arXiv.org, revised Jun 2014.
    3. Xu, Hai-Chuan & Zhang, Wei & Liu, Yi-Fang, 2014. "Short-term market reaction after trading halts in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 103-111.
    4. Alex Langnau & Yanko Punchev, 2011. "Stochastic Price Dynamics Implied By the Limit Order Book," Papers 1105.4789, arXiv.org.
    5. Mazza, Paolo & Petitjean, Mikael, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," LIDAM Reprints LFIN 2019006, Université catholique de Louvain, Louvain Finance (LFIN).
    6. Antonio Briola & Silvia Bartolucci & Tomaso Aste, 2024. "Deep Limit Order Book Forecasting," Papers 2403.09267, arXiv.org, revised Mar 2024.
    7. Havran, Dániel & Erb, Tamás, 2015. "Mit veszítünk a piaci súrlódásokkal?. A pénzügyi piacok mikrostruktúrája [Trading mechanisms and market frictions. Microstructure of the financial markets]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 229-262.
    8. Zhi-Qiang Jiang & Wen-Jie Xie & Xiong Xiong & Wei Zhang & Yong-Jie Zhang & W. -X. Zhou, 2012. "Trading networks, abnormal motifs and stock manipulation," Papers 1301.0007, arXiv.org.
    9. Wei Cui & Anthony Brabazon & Michael O'Neill, 2011. "Dynamic trade execution: a grammatical evolution approach," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 2(1/2), pages 4-31.
    10. Andor, György & Bohák, András, 2017. "Identifying events in financial time series – A new approach with bipower variation," Finance Research Letters, Elsevier, vol. 22(C), pages 42-48.

  54. Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2009. "Leverage Causes Fat Tails and Clustered Volatility," Papers 0908.1555, arXiv.org, revised Jan 2010.

    Cited by:

    1. Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2016. "When Micro Prudence Increases Macro Risk: The Destabilizing Effects of Financial Innovation, Leverage, and Diversification," Operations Research, INFORMS, vol. 64(5), pages 1073-1088, October.
    2. Anton Pichler & Sebastian Poledna & Stefan Thurner, 2018. "Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem," Papers 1801.10515, arXiv.org, revised Mar 2018.
    3. Marc van Kralingen & Diego Garlaschelli & Karolina Scholtus & Iman van Lelyveld, 2020. "Crowded trades, market clustering, and price instability," Papers 2002.03319, arXiv.org.
    4. Bernard, Carole & Vanduffel, Steven & Ye, Jiang, 2019. "A new efficiency test for ranking investments: Application to hedge fund performance," Economics Letters, Elsevier, vol. 181(C), pages 203-207.
    5. David Morton de Lachapelle & Damien Challet, 2009. "Turnover, account value and diversification of real traders: evidence of collective portfolio optimizing behavior," Papers 0912.4723, arXiv.org, revised Jun 2010.
    6. Dayong Lv & Wenfeng Wu, 2020. "Margin trading and price efficiency: information content or price‐adjustment speed?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2889-2918, September.
    7. Yaping Zhou & Xundi Diao & Dayong Lv, 2023. "Role of OTC options in stock price efficiency: Evidence from the Chinese market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4629-4655, December.
    8. Frank McGroarty & Ash Booth & Enrico Gerding & V. L. Raju Chinthalapati, 2019. "High frequency trading strategies, market fragility and price spikes: an agent based model perspective," Annals of Operations Research, Springer, vol. 282(1), pages 217-244, November.
    9. Mark Setterfield & Bill Gibson, 2013. "Real and financial crises: A multi-agent approach," Working Papers 1309, Trinity College, Department of Economics, revised Jul 2014.
    10. Po-Keng Cheng & Young Shin Kim, 2017. "Speculative bubbles and crashes： Fundamentalists and positive‐feedback trading," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1381370-138, January.
    11. Antoaneta Sergueiva, 2013. "Systemic Risk Identification, Modelling, Analysis, and Monitoring: An Integrated Approach," Papers 1310.6486, arXiv.org.
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    43. Sebastian Poledna & Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2013. "Leverage-induced systemic risk under Basle II and other credit risk policies," Papers 1301.6114, arXiv.org, revised Jan 2014.
    44. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
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    47. Takanobu Mizuta & Shintaro Kosugi & Takuya Kusumoto & Wataru Matsumoto & Kiyoshi Izumi & Isao Yagi & Shinobu Yoshimura, 2016. "Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 97-120, January.
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    49. Christoph Aymanns & J. Doyne Farmer, 2014. "The dynamics of the leverage cycle," Papers 1407.5305, arXiv.org, revised Aug 2014.
    50. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
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    53. Khaldoun Khashanah & Talal Alsulaiman, 2017. "Connectivity, Information Jumps, and Market Stability: An Agent-Based Approach," Complexity, Hindawi, vol. 2017, pages 1-16, August.
    54. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    55. Ana Fostel & John Geanakoplos, 2013. "Leverage and Default in Binomial Economies: A Complete Characterization," Working Papers 2013-16, The George Washington University, Institute for International Economic Policy.
    56. Sami Al-Suwailem, 2012. "Complexity and Endogenous Instability," ASSRU Discussion Papers 1203, ASSRU - Algorithmic Social Science Research Unit.
    57. Miguel Fuentes & Pablo Pincheira & Juan Manuel Julio & Hernán Rincón & Santiago García-Verdú & Miguel Zerecero & Marco Vega & Erick Lahura & Ramon Moreno, 2014. "The effects of intraday foreign exchange market operations in Latin America: results for Chile, Colombia, Mexico and Peru," BIS Working Papers 462, Bank for International Settlements.
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    59. Dospinescu, Andrei Silviu, 2012. "Local Environment Analysis and Rules Inferring Procedure in an Agent-Based Model – Applications in Economics," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-143, March.
    60. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: II. Agent-based models," Post-Print hal-00621059, HAL.
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    70. Forrest Jeffrey Yi-Lin & Gong Zaiwu & Köse Erkan & Galbraith Diane D. & Arık Oğuzhan A., 2021. "An Economy’s Emergent Properties and How Micro Agents with Inconsistent or Conflicting Interests Are Holistically Organized into Macro Entities," Naše gospodarstvo/Our economy, Sciendo, vol. 67(3), pages 53-66, September.
    71. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
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    73. Li-Xin Wang, 2014. "Gaussian-Chain Filters for Heavy-Tailed Noise with Application to Detecting Big Buyers and Big Sellers in Stock Market," Papers 1405.2220, arXiv.org.
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  55. Esteban Moro & Javier Vicente & Luis G. Moyano & Austin Gerig & J. Doyne Farmer & Gabriella Vaglica & Fabrizio Lillo & Rosario N. Mantegna, 2009. "Market impact and trading profile of large trading orders in stock markets," Papers 0908.0202, arXiv.org.

    Cited by:

    1. Louis Saddier & Matteo Marsili, 2023. "A Bayesian theory of market impact," Papers 2303.08867, arXiv.org, revised Feb 2024.
    2. Jonathan Donier & Jean-Philippe Bouchaud, 2015. "Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights," Post-Print hal-01277584, HAL.
    3. Zura Kakushadze, 2015. "Combining Alphas via Bounded Regression," Papers 1501.05381, arXiv.org, revised Oct 2015.
    4. Rama Cont & Lakshithe Wagalath, 2016. "Institutional Investors And The Dependence Structure Of Asset Returns," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-37, March.
    5. Aur'elien Alfonsi & Alexander Schied & Florian Klock, 2013. "Multivariate transient price impact and matrix-valued positive definite functions," Papers 1310.4471, arXiv.org, revised Sep 2015.
    6. Lakshithe Wagalath, 2017. "Lost In Contagion? Building A Liquidation Index From Covariance Dynamics," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-26, February.
    7. Alexander Barzykin & Fabrizio Lillo, 2019. "Optimal VWAP execution under transient price impact," Papers 1901.02327, arXiv.org, revised Jan 2019.
    8. Emilio Said, 2022. "Market Impact: Empirical Evidence, Theory and Practice," Working Papers hal-03668669, HAL.
    9. Musciotto, Federico & Marotta, Luca & Miccichè, Salvatore & Piilo, Jyrki & Mantegna, Rosario N., 2016. "Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 267-278.
    10. Kantar, Ersin & Keskin, Mustafa, 2013. "The relationships between electricity consumption and GDP in Asian countries, using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5678-5684.
    11. Rama Cont & Lakshithe Wagalath, 2014. "Institutional Investors and the Dependence Structure of Asset Returns," Working Papers 2014-ACF-01, IESEG School of Management.
    12. Zura Kakushadze, 2015. "Combining Alphas via Bounded Regression," Risks, MDPI, vol. 3(4), pages 1-17, November.
    13. Andre Cardoso Barato & Iacopo Mastromatteo & Marco Bardoscia & Matteo Marsili, 2011. "Impact of meta-order in the Minority Game," Papers 1112.3908, arXiv.org, revised Nov 2012.
    14. Iacopo Mastromatteo, 2014. "Apparent impact: the hidden cost of one-shot trades," Papers 1409.8497, arXiv.org, revised Jun 2015.
    15. Serguei Saavedra & Luis J. Gilarranz & Rudolf P. Rohr & Michael Schnabel & Brian Uzzi & Jordi Bascompte, 2014. "Stock fluctuations are correlated and amplified across networks of interlocking directorates," Papers 1410.6646, arXiv.org.
    16. Jonathan Donier & Jean-Philippe Bouchaud, 2015. "Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-11, October.
    17. B. Tóth & Z. Eisler & F. Lillo & J. Kockelkoren & J.-P. Bouchaud & J.D. Farmer, 2012. "How does the market react to your order flow?," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1015-1024, May.
    18. 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.
    19. Bence Toth & Yves Lemperiere & Cyril Deremble & Joachim de Lataillade & Julien Kockelkoren & Jean-Philippe Bouchaud, 2011. "Anomalous price impact and the critical nature of liquidity in financial markets," Papers 1105.1694, arXiv.org, revised Nov 2011.
    20. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2014. "$L_p$ regularized portfolio optimization," Papers 1404.4040, arXiv.org.
    21. Ioanna-Yvonni Tsaknaki & Fabrizio Lillo & Piero Mazzarisi, 2023. "Online Learning of Order Flow and Market Impact with Bayesian Change-Point Detection Methods," Papers 2307.02375, arXiv.org.
    22. Thibault Jaisson, 2015. "Liquidity and Impact in Fair Markets," Papers 1506.02507, arXiv.org.
    23. Qing-Qing Yang & Wai-Ki Ching & Jiawen Gu & Tak-Kuen Siu, 2020. "Trading strategy with stochastic volatility in a limit order book market," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 277-301, June.
    24. Mathias Pohl & Alexander Ristig & Walter Schachermayer & Ludovic Tangpi, 2017. "The amazing power of dimensional analysis: Quantifying market impact," Papers 1702.05434, arXiv.org, revised Sep 2017.
    25. Weibing Huang & Charles-Albert Lehalle & Mathieu Rosenbaum, 2015. "Simulating and Analyzing Order Book Data: The Queue-Reactive Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 107-122, March.
    26. Jonathan Donier & Julius Bonart, 2014. "A Million Metaorder Analysis of Market Impact on the Bitcoin," Papers 1412.4503, arXiv.org, revised Sep 2015.
    27. Zura Kakushadze, 2014. "Notes on Alpha Stream Optimization," Papers 1406.1249, arXiv.org, revised Mar 2015.
    28. Rongju Zhang & Nicolas Langren'e & Yu Tian & Zili Zhu & Fima Klebaner & Kais Hamza, 2018. "Local Control Regression: Improving the Least Squares Monte Carlo Method for Portfolio Optimization," Papers 1803.11467, arXiv.org, revised Sep 2018.
    29. Zoltan Eisler & Jean-Philippe Bouchaud, 2016. "Price impact without order book: A study of the OTC credit index market," Papers 1609.04620, arXiv.org.
    30. Fr'ed'eric Bucci & Iacopo Mastromatteo & Zolt'an Eisler & Fabrizio Lillo & Jean-Philippe Bouchaud & Charles-Albert Lehalle, 2018. "Co-impact: Crowding effects in institutional trading activity," Papers 1804.09565, arXiv.org, revised Jul 2018.
    31. Andrew C. Meldrum & Oleg Sokolinskiy, 2023. "The Effects of Volatility on Liquidity in the Treasury Market," Finance and Economics Discussion Series 2023-028, Board of Governors of the Federal Reserve System (U.S.).
    32. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2011. "How efficiency shapes market impact," Papers 1102.5457, arXiv.org, revised Sep 2013.
    33. Li-Xin Zhong & Wen-Juan Xu & Fei Ren & Yong-Dong Shi, 2012. "Coupled effects of market impact and asymmetric sensitivity in financial markets," Papers 1209.3399, arXiv.org, revised Jan 2013.
    34. Ponta, Linda & Trinh, Mailan & Raberto, Marco & Scalas, Enrico & Cincotti, Silvano, 2019. "Modeling non-stationarities in high-frequency financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 173-196.
    35. Yann Braouezec & Lakshithe Wagalath, 2016. "Risk-based capital requirements and optimal liquidation in a stress scenario," Working Papers 2016-ACF-01, IESEG School of Management.
    36. Roncalli, Thierry & Cherief, Amina & Karray-Meziou, Fatma & Regnault, Margaux, 2021. "Liquidity Stress Testing in Asset Management - Part 2. Modeling the Asset Liquidity Risk," MPRA Paper 108295, University Library of Munich, Germany.
    37. Iacopo Mastromatteo & Bence Toth & Jean-Philippe Bouchaud, 2013. "Agent-based models for latent liquidity and concave price impact," Papers 1311.6262, arXiv.org, revised Dec 2014.
    38. Zhong, Li-Xin & Xu, Wen-Juan & Ren, Fei & Shi, Yong-Dong, 2013. "Coupled effects of market impact and asymmetric sensitivity in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2139-2149.
    39. Thibault Jaisson, 2014. "Market impact as anticipation of the order flow imbalance," Papers 1402.1288, arXiv.org.
    40. Emilio Said & Ahmed Bel Hadj Ayed & Alexandre Husson & Fr'ed'eric Abergel, 2018. "Market Impact: A Systematic Study of Limit Orders," Papers 1802.08502, arXiv.org, revised May 2022.
    41. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    42. Rongju Zhang & Nicolas Langren'e & Yu Tian & Zili Zhu & Fima Klebaner & Kais Hamza, 2016. "Dynamic portfolio optimization with liquidity cost and market impact: a simulation-and-regression approach," Papers 1610.07694, arXiv.org, revised Jun 2019.
    43. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2016. "A new structural stochastic volatility model of asset pricing and its stylized facts," Papers 1604.08824, arXiv.org.
    44. Chen, Jingnan & Feng, Liming & Peng, Jiming, 2015. "Optimal deleveraging with nonlinear temporary price impact," European Journal of Operational Research, Elsevier, vol. 244(1), pages 240-247.
    45. Aurélien Alfonsi & Alexander Schied, 2013. "Capacitary measures for completely monotone kernels via singular control," Post-Print hal-00659421, HAL.
    46. Mario Gutiérrez-Roig & Carlota Segura & Jordi Duch & Josep Perelló, 2016. "Market Imitation and Win-Stay Lose-Shift Strategies Emerge as Unintended Patterns in Market Direction Guesses," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-19, August.
    47. Frédéric Bucci & Michael Benzaquen & Fabrizio Lillo & Jean-Philippe Bouchaud, 2019. "Slow Decay of Impact in Equity Markets: Insights from the ANcerno Database," Post-Print hal-02323357, HAL.
    48. Christopher Lorenz & Alexander Schied, 2013. "Drift dependence of optimal trade execution strategies under transient price impact," Finance and Stochastics, Springer, vol. 17(4), pages 743-770, October.
    49. Robert Azencott & Arjun Beri & Yutheeka Gadhyan & Nicolas Joseph & Charles-Albert Lehalle & Matthew Rowley, 2013. "Realtime market microstructure analysis: online Transaction Cost Analysis," Papers 1302.6363, arXiv.org, revised Mar 2013.
    50. E. Bacry & J. F Muzy, 2013. "Hawkes model for price and trades high-frequency dynamics," Papers 1301.1135, arXiv.org.
    51. Jingnan Chen & Liming Feng & Jiming Peng & Yinyu Ye, 2014. "Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact," Operations Research, INFORMS, vol. 62(1), pages 195-206, February.
    52. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2016. "Liquidity Risk And Instabilities In Portfolio Optimization," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-28, August.
    53. Hai-Chuan Xu & Zhi-Qiang Jiang & Wei-Xing Zhou, 2016. "Immediate price impact of a stock and its warrant: Power-law or logarithmic model?," Papers 1611.04091, arXiv.org.
    54. Der Chyan Lin, 2013. "Synchrony in Broadband Fluctuation and the 2008 Financial Crisis," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
    55. Elia Zarinelli & Michele Treccani & J. Doyne Farmer & Fabrizio Lillo, 2014. "Beyond the square root: Evidence for logarithmic dependence of market impact on size and participation rate," Papers 1412.2152, arXiv.org.
    56. Zura Kakushadze, 2014. "Combining Alpha Streams with Costs," Papers 1405.4716, arXiv.org, revised Jan 2015.
    57. Emilio Said & Ahmed Bel Hadj Ayed & Damien Thillou & Jean-Jacques Rabeyrin & Fr'ed'eric Abergel, 2019. "Market Impact: A Systematic Study of the High Frequency Options Market," Papers 1902.05418, arXiv.org, revised May 2022.
    58. Michele Tumminello & Fabrizio Lillo & Jyrki Piilo & Rosario N. Mantegna, 2011. "Identification of clusters of investors from their real trading activity in a financial market," Papers 1107.3942, arXiv.org.

  56. Dmitriy Cherkashin & J. Doyne Farmer & Seth Lloyd, 2009. "The Reality Game," Papers 0902.0100, arXiv.org, revised Feb 2009.

    Cited by:

    1. Martin Hilbert, 2017. "Complementary Variety: When Can Cooperation in Uncertain Environments Outperform Competitive Selection?," Complexity, Hindawi, vol. 2017, pages 1-15, September.
    2. Hilbert, Martin, 2016. "Formal definitions of information and knowledge and their role in growth through structural change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 69-82.

  57. J. Doyne Farmer & John Geanakoplos, 2009. "Hyperbolic discounting is rational: Valuing the far future with uncertain discount rates," Levine's Working Paper Archive 814577000000000356, David K. Levine.

    Cited by:

    1. David F. Burgess & Richard O. Zerbe, 2013. "Appropriate discounting for benefit–cost analysis," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 7, pages 247-263, Edward Elgar Publishing.
    2. Matteo Richiardi & J. Doyne Farmer & John Geanakoplos & Jaume Masoliver & Miquel Montero & Josep Perellò, 2017. "Discounting the distant future: What do historical bond prices imply about the long term discount rate?," LABORatorio R. Revelli Working Papers Series 156, LABORatorio R. Revelli, Centre for Employment Studies.
    3. Orlando Gomes & Alexandra Ferreira-Lopes & Tiago Sequeira, 2014. "Exponential discounting bias," Journal of Economics, Springer, vol. 113(1), pages 31-57, September.
    4. Gaël Giraud & Céline Rochon, 2010. "Transition to Equilibrium in International Trades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00657038, HAL.
    5. Eric Crampton & Matt Burgess & Brad Taylor, 2011. "The Cost of Cost Studies," Working Papers in Economics 11/29, University of Canterbury, Department of Economics and Finance.
    6. Matthew O. Jackson & Leeat Yariv, 2014. "Present Bias and Collective Dynamic Choice in the Lab," American Economic Review, American Economic Association, vol. 104(12), pages 4184-4204, December.
    7. Koen Vermeylen, 2013. "The Consumption Discount Rate for the Distant Future (if we do not die out)," Tinbergen Institute Discussion Papers 13-201/VI, Tinbergen Institute.
    8. Katz, Yuri A., 2017. "Value of the distant future: Model-independent results," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 269-276.
    9. J. Doyne Farmer & John Geanakoplos & Jaume Masoliver & Miquel Montero & Josep Perello, 2014. "Discounting the Distant Future," Cowles Foundation Discussion Papers 1951, Cowles Foundation for Research in Economics, Yale University.
    10. Dorje C. Brody & Lane P. Hughston, 2018. "Social Discounting And The Long Rate Of Interest," Mathematical Finance, Wiley Blackwell, vol. 28(1), pages 306-334, January.
    11. Boyarchenko, Svetlana & Levendorskii, Sergei, 2010. "Discounting when income is stochastic and climate change policies," MPRA Paper 27998, University Library of Munich, Germany.
    12. Daniele Pennesi, 2017. "Uncertain discount and hyperbolic preferences," Theory and Decision, Springer, vol. 83(3), pages 315-336, October.
    13. Jaume Masoliver & Miquel Montero & Josep Perelló, 2021. "Jump-Diffusion Models for Valuing the Future: Discounting under Extreme Situations," Mathematics, MDPI, vol. 9(14), pages 1-26, July.
    14. Josep Perell'o & Miquel Montero & Jaume Masoliver & J. Doyne Farmer & John Geanakoplos, 2019. "Statistical analysis and stochastic interest rate modelling for valuing the future with implications in climate change mitigation," Papers 1910.01928, arXiv.org, revised Feb 2020.
    15. Herwig Buchholz & Thomas Eberle & Manfred Klevesath & Alexandra Jürgens & Douglas Beal & Alexander Baic & Joanna Radeke, 2020. "Forward Thinking for Sustainable Business Value: A New Method for Impact Valuation," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    16. Mark Dean & Anja Sautmann, 2014. "Credit Constraints and the Measurement of Time Preferences," Working Papers 2014-1, Brown University, Department of Economics.
    17. Karen Pittel & Dirk T.G. Rübbelke, 2012. "Decision processes of a suicide bomber—the economics and psychology of attacking and defecting," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(3), pages 251-272, June.
    18. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    19. Dorje C. Brody & Lane P. Hughston, 2013. "Social Discounting and the Long Rate of Interest," Papers 1306.5145, arXiv.org, revised Sep 2015.
    20. Koen Vermeylen, 2013. "Non-Marginal Cost-Benefit Analysis and the Tyranny of Discounting," Tinbergen Institute Discussion Papers 13-203/VI, Tinbergen Institute.

  58. J. Doyne Farmer & John Geanakoplos, 2008. "The virtues and vices of equilibrium and the future of financial economics," Papers 0803.2996, arXiv.org.

    Cited by:

    1. Salazar Trujillo, Boris, 2013. "¿Crisis después de la crisis?: el estado de la macroeconomía financiera después de la crisis global," Documentos de Trabajo 11025, Universidad del Valle, CIDSE.
    2. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    3. Hawkins, Raymond J. & Aoki, Masanao & Roy Frieden, B., 2010. "Asymmetric information and macroeconomic dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3565-3571.
    4. Lotz, Aileen & Gosselin, Pierre, 2012. "A dynamic model of interactions between conscious and unconscious," MPRA Paper 36697, University Library of Munich, Germany.
    5. Bell, William Paul, 2009. "Network Averaging: a technique for determining a proxy for the dynamics of networks," MPRA Paper 38026, University Library of Munich, Germany.
    6. Gaël Giraud & Nguenamadji Orntangar, 2011. "Monetary policy under finite speed of trades and myopia," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00609824, HAL.
    7. Lee Smolin, 2009. "Time and symmetry in models of economic markets," Papers 0902.4274, arXiv.org.
    8. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    9. Libo Xu & Apostolos Serletis, "undated". "Communication Frictions, Sentiments, and Nonlinear Business Cycles," Working Papers 2016-35, Department of Economics, University of Calgary, revised 20 Jun 2016.
    10. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    11. Simone Caschili & Francesca Medda & Francesco Parola & Claudio Ferrari, 2014. "An Analysis of Shipping Agreements: The Cooperative Container Network," Networks and Spatial Economics, Springer, vol. 14(3), pages 357-377, December.
    12. Samuel E. Vazquez, 2009. "Scale Invariance, Bounded Rationality and Non-Equilibrium Economics," Papers 0902.3840, arXiv.org.
    13. Bell, William Paul, 2009. "Adaptive interactive expectations: dynamically modelling profit expectations," MPRA Paper 38260, University Library of Munich, Germany, revised 09 Feb 2010.
    14. 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.
    15. Cameli, Simone Amato, 2023. "A complexity economics framework for 21st-century industrial policy," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 168-178.

  59. Yonathan Schwarzkopf & J. Doyne Farmer, 2008. "What drives mutual fund asset concentration?," Papers 0807.3800, arXiv.org, revised May 2010.

    Cited by:

    1. Danilo Delpini & Stefano Battiston & Guido Caldarelli & Massimo Riccaboni, 2019. "Systemic risk from investment similarities," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.

  60. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.

    Cited by:

    1. B. Tóth & F. Lillo & J. D. Farmer, 2010. "Segmentation algorithm for non-stationary compound Poisson processes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 78(2), pages 235-243, November.
    2. Willis, Geoff, 2011. "Pricing, liquidity and the control of dynamic systems in finance and economics," MPRA Paper 31137, University Library of Munich, Germany.
    3. Ban Zheng & François Roueff & Frédéric Abergel, 2014. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Post-Print hal-00777941, HAL.
    4. Amir E. Khandani & Andrew W. Lo, 2008. "What Happened To The Quants In August 2007?: Evidence from Factors and Transactions Data," NBER Working Papers 14465, National Bureau of Economic Research, Inc.
    5. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part I: The Models," Papers 1401.1888, arXiv.org, revised Feb 2016.
    6. Gianbiagio Curato & Jim Gatheral & Fabrizio Lillo, 2014. "Optimal execution with nonlinear transient market impact," Papers 1412.4839, arXiv.org.
    7. Michael Benzaquen & J.-P. Bouchaud, 2018. "Market impact with multi-timescale liquidity," Post-Print hal-02323248, HAL.
    8. Michael Benzaquen & Jean-Philippe Bouchaud, 2018. "A fractional reaction–diffusion description of supply and demand," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(2), pages 1-7, February.
    9. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
    10. David Morton de Lachapelle & Damien Challet, 2009. "Turnover, account value and diversification of real traders: evidence of collective portfolio optimizing behavior," Papers 0912.4723, arXiv.org, revised Jun 2010.
    11. Toke, Ioane Muni & Pomponio, Fabrizio, 2011. "Modelling trades-through in a limited order book using Hawkes processes," Economics Discussion Papers 2011-32, Kiel Institute for the World Economy (IfW Kiel).
    12. Li, Daye & Nishimura, Yusaku & Men, Ming, 2016. "Why the long-term auto-correlation has not been eliminated by arbitragers: Evidences from NYMEX," Energy Economics, Elsevier, vol. 59(C), pages 167-178.
    13. Sandoval, Leonidas & Franca, Italo De Paula, 2012. "Correlation of financial markets in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 187-208.
    14. Clinet, Simon & Yoshida, Nakahiro, 2017. "Statistical inference for ergodic point processes and application to Limit Order Book," Stochastic Processes and their Applications, Elsevier, vol. 127(6), pages 1800-1839.
    15. Rama Cont & Adrien de Larrard, 2013. "Price Dynamics in a Markovian Limit Order Market," Post-Print hal-00552252, HAL.
    16. Mark D. Flood & John C. Liechty & Thomas Piontek, 2015. "Systemwide Commonalities in Market Liquidity," Working Papers 15-11, Office of Financial Research, US Department of the Treasury.
    17. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part II: Analysis of the Models," Papers 1401.1891, arXiv.org, revised Feb 2016.
    18. Chávez-Casillas, Jonathan A. & Figueroa-López, José E., 2017. "A one-level limit order book model with memory and variable spread," Stochastic Processes and their Applications, Elsevier, vol. 127(8), pages 2447-2481.
    19. Leonidas Sandoval Junior & Italo De Paula Franca, 2011. "Correlation of financial markets in times of crisis," Papers 1102.1339, arXiv.org, revised Mar 2011.
    20. Sabrina Camargo & Silvio M. Duarte Queiros & Celia Anteneodo, 2013. "Bridging stylized facts in finance and data non-stationarities," Papers 1302.3197, arXiv.org, revised May 2013.
    21. Donovan Platt & Tim Gebbie, 2016. "Can Agent-Based Models Probe Market Microstructure?," Papers 1611.08510, arXiv.org, revised Aug 2017.
    22. Michele Vodret & Iacopo Mastromatteo & Bence T'oth & Michael Benzaquen, 2021. "Do fundamentals shape the price response? A critical assessment of linear impact models," Papers 2112.04245, arXiv.org.
    23. Michael Benzaquen & Jean-Philippe Bouchaud, 2017. "Market impact with multi-timescale liquidity," Papers 1710.03734, arXiv.org, revised Oct 2017.
    24. Emmanuel Bacry & Iacopo Mastromatteo & Jean-Franc{c}ois Muzy, 2015. "Hawkes processes in finance," Papers 1502.04592, arXiv.org, revised May 2015.
    25. Andre Cardoso Barato & Iacopo Mastromatteo & Marco Bardoscia & Matteo Marsili, 2011. "Impact of meta-order in the Minority Game," Papers 1112.3908, arXiv.org, revised Nov 2012.
    26. Rama Cont & Sasha Stoikov & Rishi Talreja, 2010. "A Stochastic Model for Order Book Dynamics," Operations Research, INFORMS, vol. 58(3), pages 549-563, June.
    27. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.
    28. Ban Zheng & Eric Moulines & Fr'ed'eric Abergel, 2012. "Price Jump Prediction in Limit Order Book," Papers 1204.1381, arXiv.org.
    29. Jasmina Hasanhodzic & Andrew W. Lo & Emanuele Viola, 2009. "A Computational View of Market Efficiency," Papers 0908.4580, arXiv.org.
    30. B. Tóth & Z. Eisler & F. Lillo & J. Kockelkoren & J.-P. Bouchaud & J.D. Farmer, 2012. "How does the market react to your order flow?," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1015-1024, May.
    31. Bence Toth & Yves Lemperiere & Cyril Deremble & Joachim de Lataillade & Julien Kockelkoren & Jean-Philippe Bouchaud, 2011. "Anomalous price impact and the critical nature of liquidity in financial markets," Papers 1105.1694, arXiv.org, revised Nov 2011.
    32. Stephan Grimm & Thomas Guhr, 2018. "How spread changes affect the order book: Comparing the price responses of order deletions and placements to trades," Papers 1812.09067, arXiv.org.
    33. Seemann, Lars & McCauley, Joseph L. & Gunaratne, Gemunu H., 2011. "Intraday volatility and scaling in high frequency foreign exchange markets," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 121-126, June.
    34. Jay Chok & Jifeng Qian, 2013. "Comparable Stocks, Boundedly Rational Stock Markets and IPO Entry Rates," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-8, May.
    35. Weibing Huang & Charles-Albert Lehalle & Mathieu Rosenbaum, 2015. "Simulating and Analyzing Order Book Data: The Queue-Reactive Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 107-122, March.
    36. Jonathan A. Ch'avez-Casillas & Jos'e E. Figueroa-L'opez, 2014. "One-level limit order book models with memory and variable spread," Papers 1407.5684, arXiv.org, revised Mar 2016.
    37. Fricke, Daniel & Lux, Thomas, 2013. "The effects of a financial transaction tax in an artificial financial market," Kiel Working Papers 1868, Kiel Institute for the World Economy (IfW Kiel).
    38. Enzo Busseti & Fabrizio Lillo, 2012. "Calibration of optimal execution of financial transactions in the presence of transient market impact," Papers 1206.0682, arXiv.org.
    39. Alexander Lykov & Stepan Muzychka & Kirill Vaninsky, 2016. "Investor'S Sentiment In Multi-Agent Model Of The Continuous Double Auction," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1-29, September.
    40. João da Gama Batista & Domenico Massaro & Jean-Philippe Bouchaud & Damien Challet & Cars Hommes, 2017. "Do investors trade too much? A laboratory experiment," Post-Print hal-01244465, HAL.
    41. Schasfoort, Joeri & Stockermans, Christopher, 2017. "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers 2017-63, Kiel Institute for the World Economy (IfW Kiel).
    42. Khalil al Dayri & Emmanuel Bacry & Jean-Francois Muzy, 2010. "The nature of price returns during periods of high market activity," Papers 1010.4226, arXiv.org, revised Oct 2010.
    43. A. C. Barato & I. Mastromatteo & M. Bardoscia & M. Marsili, 2013. "Impact of meta-order in the Minority Game," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1343-1352, September.
    44. Aaron Wheeler & Jeffrey D. Varner, 2023. "Scalable Agent-Based Modeling for Complex Financial Market Simulations," Papers 2312.14903, arXiv.org, revised Jan 2024.
    45. Sabiou Inoua, 2015. "The Intrinsic Instability of Financial Markets," Papers 1508.02203, arXiv.org.
    46. M. Cristelli & V. Alfi & L. Pietronero & A. Zaccaria, 2009. "Liquidity Crisis, Granularity of the Order Book and Price Fluctuations," Papers 0902.4159, arXiv.org, revised Jul 2009.
    47. Nicolas Huth & Frédéric Abergel, 2012. "The times change: multivariate subordination, empirical facts," Post-Print hal-00620841, HAL.
    48. Michele Vodret & Iacopo Mastromatteo & Bence Tóth & Michael Benzaquen, 2021. "A Stationary Kyle Setup: Microfounding propagator models," Post-Print hal-03016486, HAL.
    49. Rama Cont & Adrien De Larrard, 2012. "Order book dynamics in liquid markets: limit theorems and diffusion approximations," Papers 1202.6412, arXiv.org.
    50. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2020. "Price response functions and spread impact in correlated financial markets," Papers 2010.15105, arXiv.org.
    51. M. Abeille & E. Serie & A. Lazaric & X. Brokmann, 2016. "LQG for portfolio optimization," Papers 1611.00997, arXiv.org, revised Nov 2016.
    52. Iacopo Mastromatteo & Bence Toth & Jean-Philippe Bouchaud, 2013. "Agent-based models for latent liquidity and concave price impact," Papers 1311.6262, arXiv.org, revised Dec 2014.
    53. J. Donier & J. Bonart & I. Mastromatteo & J.-P. Bouchaud, 2015. "A fully consistent, minimal model for non-linear market impact," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1109-1121, July.
    54. Duarte Queirós, Sílvio M., 2016. "Trading volume in financial markets: An introductory review," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 24-37.
    55. Lublóy, Ágnes & Gyarmati, Ákos & Váradi, Kata, 2012. "Virtuális árhatás a Budapesti Értéktőzsdén [Virtual price effects on the Budapest stock exchange]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 508-539.
    56. Thibault Jaisson, 2014. "Market impact as anticipation of the order flow imbalance," Papers 1402.1288, arXiv.org.
    57. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    58. Stephan Grimm & Thomas Guhr, 2019. "How spread changes affect the order book: comparing the price responses of order deletions and placements to trades," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 92(6), pages 1-11, June.
    59. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: II. Agent-based models," Post-Print hal-00621059, HAL.
    60. Michael Benzaquen & Jean-Philippe Bouchaud, 2018. "A fractional reaction–diffusion description of supply and demand," Post-Print hal-02323544, HAL.
    61. Chen, Jingnan & Feng, Liming & Peng, Jiming, 2015. "Optimal deleveraging with nonlinear temporary price impact," European Journal of Operational Research, Elsevier, vol. 244(1), pages 240-247.
    62. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part III: Application to Hong Kong Stocks," Papers 1401.1892, arXiv.org, revised Feb 2016.
    63. M. A. Virasoro, 2011. "Non-Gaussianity of the Intraday Returns Distribution: its evolution in time," Papers 1112.0770, arXiv.org, revised Dec 2011.
    64. Ban Zheng & Eric Moulines & Frédéric Abergel, 2013. "Price jump prediction in a limit order book," Post-Print hal-00684716, HAL.
    65. F. Caccioli & M. Marsili & P. Vivo, 2009. "Eroding market stability by proliferation of financial instruments," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 467-479, October.
    66. Paolo Barucca & Fabrizio Lillo, 2017. "Behind the price: on the role of agent's reflexivity in financial market microstructure," Papers 1708.07047, arXiv.org.
    67. Alexander Lipton & Umberto Pesavento & Michael G Sotiropoulos, 2013. "Trade arrival dynamics and quote imbalance in a limit order book," Papers 1312.0514, arXiv.org.
    68. Michele Vodret & Iacopo Mastromatteo & Bence T'oth & Michael Benzaquen, 2020. "A Stationary Kyle Setup: Microfounding propagator models," Papers 2011.10242, arXiv.org, revised Feb 2021.
    69. Jacopo Rocchi & Enoch Yan Lok Tsui & David Saad, 2017. "Emerging interdependence between stock values during financial crashes," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-15, May.
    70. Michael Benzaquen & Iacopo Mastromatteo & Zoltan Eisler & Jean-Philippe Bouchaud, 2016. "Dissecting cross-impact on stock markets: An empirical analysis," Papers 1609.02395, arXiv.org, revised Nov 2016.
    71. Rama Cont & Adrien de Larrard, 2011. "Order book dynamics in liquid markets: limit theorems and diffusion approximations," Working Papers hal-00672274, HAL.
    72. Campbell, Michael J., 2022. "Heavy-tailed distributions of volume and price-change resulting from strategy coordination and decision noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    73. A. Zaccaria & M. Cristelli & V. Alfi & F. Ciulla & L. Pietronero, 2009. "Asymmetric statistics of order books: The role of discreteness and evidence for strategic order placement," Papers 0906.1387, arXiv.org, revised May 2010.
    74. Rama Cont & Adrien De Larrard, 2011. "Price dynamics in a Markovian limit order market," Papers 1104.4596, arXiv.org.
    75. Eric Kemp-Benedict, 2012. "Second-order Price Dynamics: Approach to Equilibrium with Perpetual Arbitrage," Papers 1202.5926, arXiv.org.
    76. Federico Musciotto & Luca Marotta & Jyrki Piilo & Rosario N. Mantegna, 2018. "Long-term ecology of investors in a financial market," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-12, December.
    77. Ban Zheng & Franc{c}ois Roueff & Fr'ed'eric Abergel, 2013. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Papers 1301.5007, arXiv.org, revised Feb 2014.
    78. Jakob Albers & Mihai Cucuringu & Sam Howison & Alexander Y. Shestopaloff, 2021. "Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets," Papers 2108.09750, arXiv.org.
    79. Baviera, Roberto & Nassigh, Aldo & Nastasi, Emanuele, 2021. "A closed formula for illiquid corporate bonds and an application to the European market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    80. Csóka, Péter & Havran, Dániel & Váradi, Kata, 2013. "Konferencia a pénzügyi piacok likviditásáról. Third Annual Financial Market Liquidity Conference BCE Befektetések és Vállalati Pénzügy Tanszék-MTA KRTK KTI Játékelméleti Kutatócsoport-Nemzetközi Banká," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 477-485.
    81. Michele Vodret & Bence Tóth & Iacopo Mastromatteo & Michael Benzaquen, 2022. "Do fundamentals shape the price response? A critical assessment of linear impact models," Post-Print hal-03797375, HAL.
    82. Miquel Montero, 2008. "Predator-Prey Model for Stock Market Fluctuations," Papers 0810.4844, arXiv.org, revised Jul 2009.
    83. Elia Zarinelli & Michele Treccani & J. Doyne Farmer & Fabrizio Lillo, 2014. "Beyond the square root: Evidence for logarithmic dependence of market impact on size and participation rate," Papers 1412.2152, arXiv.org.
    84. Michael Benzaquen & Jean-Philippe Bouchaud, 2017. "A fractional reaction-diffusion description of supply and demand," Papers 1704.02638, arXiv.org, revised Aug 2017.
    85. Sağlam, Mehmet & Moallemi, Ciamac C. & Sotiropoulos, Michael G., 2019. "Short-term trading skill: An analysis of investor heterogeneity and execution quality," Journal of Financial Markets, Elsevier, vol. 42(C), pages 1-28.
    86. Gyarmati, Ákos & Lublóy, Ágnes & Váradi, Kata, 2012. "The Budapest liquidity measure and the price impact function," MPRA Paper 40339, University Library of Munich, Germany.
    87. Roberto Baviera & Aldo Nassigh & Emanuele Nastasi, 2019. "A closed formula for illiquid corporate bonds and an application to the European market," Papers 1901.06855, arXiv.org, revised May 2020.

  61. Gabriele La Spada & J. Doyne Farmer & Fabrizio Lillo, 2007. "The non-random walk of stock prices: The long-term correlation between signs and sizes," Papers 0711.4596, arXiv.org, revised May 2008.

    Cited by:

    1. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    2. Z. Sun & P. A. Hamill & Y. Li & Y. C. Yang & S. A. Vigne, 2019. "Did long-memory of liquidity signal the European sovereign debt crisis?," Annals of Operations Research, Springer, vol. 282(1), pages 355-377, November.
    3. Assaf Almog & Ferry Besamusca & Mel MacMahon & Diego Garlaschelli, 2015. "Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.
    4. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    5. Kirchler, Michael & Huber, Jürgen, 2009. "An exploration of commonly observed stylized facts with data from experimental asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1631-1658.
    6. Zhi-Qiang Jiang & Wei-Xing Zhou, 2010. "Complex stock trading network among investors," Papers 1003.2459, arXiv.org, revised May 2010.
    7. Assaf Almog & Ferry Besamusca & Mel MacMahon & Diego Garlaschelli, 2015. "Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations," Papers 1504.00590, arXiv.org.
    8. Ji, Aiwen & Shang, Pengjian, 2019. "Analysis of financial time series through forbidden patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

  62. Szabolcs Mike & J. Doyne Farmer, 2007. "An empirical behavioral model of liquidity and volatility," Papers 0709.0159, arXiv.org.

    Cited by:

    1. Gu, Gao-Feng & Chen, Wei & Zhou, Wei-Xing, 2008. "Empirical shape function of limit-order books in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5182-5188.
    2. Xiao-Hui Ni & Wei-Xing Zhou, 2007. "Intraday pattern in bid-ask spreads and its power-law relaxation for Chinese A-share stocks," Papers 0710.2402, arXiv.org.
    3. T. T. Chen & B. Zheng & Y. Li & X. F. Jiang, 2017. "New approaches in agent-based modeling of complex financial systems," Papers 1703.06840, arXiv.org.
    4. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    5. Martin Šmíd, 2016. "Estimation of zero-intelligence models by L1 data," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1423-1444, September.
    6. Zoltan Eisler & Janos Kertesz & Fabrizio Lillo & Rosario Mantegna, 2009. "Diffusive behavior and the modeling of characteristic times in limit order executions," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 547-563.
    7. Venelina Nikolova & Juan E. Trinidad Segovia & Manuel Fernández-Martínez & Miguel Angel Sánchez-Granero, 2020. "A Novel Methodology to Calculate the Probability of Volatility Clusters in Financial Series: An Application to Cryptocurrency Markets," Mathematics, MDPI, vol. 8(8), pages 1-15, July.
    8. Martin D. Gould & Julius Bonart, 2015. "Queue Imbalance as a One-Tick-Ahead Price Predictor in a Limit Order Book," Papers 1512.03492, arXiv.org.
    9. Clinet, Simon & Yoshida, Nakahiro, 2017. "Statistical inference for ergodic point processes and application to Limit Order Book," Stochastic Processes and their Applications, Elsevier, vol. 127(6), pages 1800-1839.
    10. Sandrine Jacob Leal & Mauro Napoletano, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," SciencePo Working papers Main hal-03403589, HAL.
    11. Wei-Xing Zhou, 2012. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1253-1263, June.
    12. Ladislav Kristoufek, 2013. "Fractal Markets Hypothesis and the Global Financial Crisis: Wavelet Power Evidence," Papers 1310.1446, arXiv.org.
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  63. Ilija I. Zovko & J. Doyne Farmer, 2007. "Correlations and clustering in the trading of members of the London Stock Exchange," Papers 0709.3261, arXiv.org.

    Cited by:

    1. Musciotto, Federico & Marotta, Luca & Miccichè, Salvatore & Piilo, Jyrki & Mantegna, Rosario N., 2016. "Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 267-278.
    2. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    3. Angelo Carollo & Gabriella Vaglica & Fabrizio Lillo & Rosario N. Mantegna, 2012. "Trading activity and price impact in parallel markets: SETS vs. off-book market at the London Stock Exchange," Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 517-530, November.
    4. Fricke, Daniel, 2012. "Trading strategies in the overnight money market: Correlations and clustering on the e-MID trading platform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6528-6542.
    5. Damien Challet & R'emy Chicheportiche & Mehdi Lallouache & Serge Kassibrakis, 2016. "Statistically validated lead-lag networks and inventory prediction in the foreign exchange market," Papers 1609.04640, arXiv.org, revised Jul 2018.
    6. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    7. Horváth, Lajos & Rice, Gregory, 2019. "Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 138-165.

  64. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Szabolcs Mike, 2006. "Market efficiency and the long-memory of supply and demand: Is price impact variable and permanent or fixed and temporary?," Papers physics/0602015, arXiv.org.

    Cited by:

    1. Haochen Li & Yi Cao & Maria Polukarov & Carmine Ventre, 2023. "An Empirical Analysis on Financial Markets: Insights from the Application of Statistical Physics," Papers 2308.14235, arXiv.org, revised Dec 2023.
    2. Martin D. Gould & Julius Bonart, 2015. "Queue Imbalance as a One-Tick-Ahead Price Predictor in a Limit Order Book," Papers 1512.03492, arXiv.org.
    3. Solomon Sorin & Golo Natasa, 2013. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall–Walras Disequilibrium," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 3(3), pages 167-260, October.
    4. Borland, Lisa, 2016. "Exploring the dynamics of financial markets: from stock prices to strategy returns," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 59-74.
    5. Michele Vodret & Iacopo Mastromatteo & Bence T'oth & Michael Benzaquen, 2021. "Do fundamentals shape the price response? A critical assessment of linear impact models," Papers 2112.04245, arXiv.org.
    6. Bartram, Söhnke & Branke, Jürgen & Motahari, Mehrshad, 2020. "Artificial Intelligence in Asset Management," CEPR Discussion Papers 14525, C.E.P.R. Discussion Papers.
    7. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    8. Szabolcs Mike & J. Doyne Farmer, 2007. "An empirical behavioral model of liquidity and volatility," Papers 0709.0159, arXiv.org.
    9. Jasmina Hasanhodzic & Andrew W. Lo & Emanuele Viola, 2009. "A Computational View of Market Efficiency," Papers 0908.4580, arXiv.org.
    10. Jim Gatheral, 2010. "No-dynamic-arbitrage and market impact," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 749-759.
    11. B. Tóth & Z. Eisler & F. Lillo & J. Kockelkoren & J.-P. Bouchaud & J.D. Farmer, 2012. "How does the market react to your order flow?," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1015-1024, May.
    12. Zoltán Eisler & Jean-Philippe Bouchaud & Julien Kockelkoren, 2012. "The price impact of order book events: market orders, limit orders and cancellations," Quantitative Finance, Taylor & Francis Journals, vol. 12(9), pages 1395-1419, September.
    13. Avci-Surucu, Ezgi & Aydogan, A. Kursat & Akgul, Doganbey, 2016. "Bidding structure, market efficiency and persistence in a multi-time tariff setting," Energy Economics, Elsevier, vol. 54(C), pages 77-87.
    14. Khalil al Dayri & Emmanuel Bacry & Jean-Francois Muzy, 2010. "The nature of price returns during periods of high market activity," Papers 1010.4226, arXiv.org, revised Oct 2010.
    15. Andrew C. Meldrum & Oleg Sokolinskiy, 2023. "The Effects of Volatility on Liquidity in the Treasury Market," Finance and Economics Discussion Series 2023-028, Board of Governors of the Federal Reserve System (U.S.).
    16. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2011. "How efficiency shapes market impact," Papers 1102.5457, arXiv.org, revised Sep 2013.
    17. Ahmet Duran & Michael Bommarito, 2011. "A profitable trading and risk management strategy despite transaction costs," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 829-848.
    18. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    19. Anderegg, Benjamin & Ulmann, Florian & Sornette, Didier, 2022. "The impact of option hedging on the spot market volatility," Journal of International Money and Finance, Elsevier, vol. 124(C).
    20. Emmanuel Bacry & Adrian Iuga & Matthieu Lasnier & Charles-Albert Lehalle, 2014. "Market impacts and the life cycle of investors orders," Papers 1412.0217, arXiv.org, revised Dec 2014.
    21. Damian Eduardo Taranto & Giacomo Bormetti & Fabrizio Lillo, 2014. "The adaptive nature of liquidity taking in limit order books," Papers 1403.0842, arXiv.org, revised Apr 2014.
    22. Wang, Yougui & Stanley, H.E., 2009. "Statistical approach to partial equilibrium analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1173-1180.
    23. Julius Bonart & Fabrizio Lillo, 2016. "A continuous and efficient fundamental price on the discrete order book grid," Papers 1608.00756, arXiv.org, revised Aug 2016.
    24. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "The Long Memory of Order Flow in the Foreign Exchange Spot Market," Papers 1504.04354, arXiv.org, revised Oct 2015.
    25. Bonart, Julius & Lillo, Fabrizio, 2018. "A continuous and efficient fundamental price on the discrete order book grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 698-713.
    26. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    27. Ryosuke Ishii, 2010. "Optimal Execution in a Market with Small Investors," Applied Mathematical Finance, Taylor & Francis Journals, vol. 17(5), pages 431-451.
    28. Jianfeng Guo & Bin Su & Guang Yang & Lianyong Feng & Yinpeng Liu & Fu Gu, 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    29. Aur'elien Alfonsi & Pierre Blanc, 2015. "Extension and calibration of a Hawkes-based optimal execution model," Papers 1506.08740, arXiv.org.
    30. Michele Vodret & Bence Tóth & Iacopo Mastromatteo & Michael Benzaquen, 2022. "Do fundamentals shape the price response? A critical assessment of linear impact models," Post-Print hal-03797375, HAL.
    31. Frédéric Abergel & Aymen Jedidi, 2013. "A Mathematical Approach to Order Book Modelling," Post-Print hal-00621253, HAL.
    32. Hai-Chuan Xu & Wei Chen & Xiong Xiong & Wei Zhang & Wei-Xing Zhou & H Eugene Stanley, 2016. "Limit-order book resiliency after effective market orders: Spread, depth and intensity," Papers 1602.00731, arXiv.org, revised Feb 2017.

  65. J. Doyne Farmer & Neda Zamani, 2006. "Mechanical vs. informational components of price impact," Papers physics/0608271, arXiv.org, revised Sep 2006.

    Cited by:

    1. Shanshan Wang, 2017. "Trading strategies for stock pairs regarding to the cross-impact cost," Papers 1701.03098, arXiv.org, revised Jul 2017.
    2. Zoltán Eisler & Jean-Philippe Bouchaud & Julien Kockelkoren, 2012. "The price impact of order book events: market orders, limit orders and cancellations," Quantitative Finance, Taylor & Francis Journals, vol. 12(9), pages 1395-1419, September.
    3. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.

  66. Szabolcs Mike & J. Doyne Farmer, 2005. "An empirical behavioral model of price formation," Papers physics/0509194, arXiv.org, revised Oct 2005.

    Cited by:

    1. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2006. "Relation between Bid-Ask Spread, Impact and Volatility in Double Auction Markets," Science & Finance (CFM) working paper archive 500067, Science & Finance, Capital Fund Management.
    2. Bicci, Alberto, 2016. "Limit order book and its modeling in terms of Gibbs Grand-Canonical Ensemble," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 516-524.
    3. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2008. "Relation between bid-ask spread, impact and volatility in order-driven markets," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 41-57.
    4. Zoltan Eisler & Janos Kertesz & Fabrizio Lillo, 2007. "The limit order book on different time scales," Papers 0705.4023, arXiv.org.
    5. Alberto Bicci, 2016. "Limit Order Book and its modelling in terms of Gibbs Grand-Canonical Ensemble," Papers 1602.06968, arXiv.org, revised Feb 2016.

  67. J. Doyne Farmer & Martin Shubik & Eric Smith, 2005. "Economics: the next physical science?," Cowles Foundation Discussion Papers 1520, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Louis Lefeber & Thomas Vietorisz, 2007. "The Meaning of Social Efficiency," Review of Political Economy, Taylor & Francis Journals, vol. 19(2), pages 139-164.
    2. Vogel, E.E. & Saravia, G. & Astete, J. & Díaz, J. & Riadi, F., 2015. "Information theory as a tool to improve individual pensions: The Chilean case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 372-382.
    3. Gajic, Nenad & Budinski-Petkovic, Ljuba, 2013. "Ups and downs of economics and econophysics — Facebook forecast," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 208-214.
    4. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    5. Moura, N.J. & Ribeiro, Marcelo B., 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2088-2103.
    6. Alberto Ciacci & Takumi Sueshige & Hideki Takayasu & Kim Christensen & Misako Takayasu, 2020. "The microscopic relationships between triangular arbitrage and cross-currency correlations in a simple agent based model of foreign exchange markets," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-19, June.
    7. Victor M. Yakovenko, 2012. "Applications of statistical mechanics to economics: Entropic origin of the probability distributions of money, income, and energy consumption," Papers 1204.6483, arXiv.org.
    8. Sitabhra Sinha & Uday Kovur, 2013. "Uncovering the network structure of the world currency market: Cross-correlations in the fluctuations of daily exchange rates," Papers 1305.0239, arXiv.org.
    9. Sitabhra Sinha & Raj Kumar Pan, 2006. "The Power (Law) of Indian Markets: Analysing NSE and BSE trading statistics," Papers physics/0605247, arXiv.org.
    10. Winther, K. Tobias, 2008. "Analyzing new profit opportunities: a guide to making business projects financially successful," MPRA Paper 11346, University Library of Munich, Germany.
    11. Bongo Adi & Kenneth Amaeshi & Suminori Tokunaga, 2005. "Rational Choice, Scientific Method and Social Scientism," Method and Hist of Econ Thought 0509001, University Library of Munich, Germany.
    12. Klaus Mohn, 2010. "Autism in Economics? A Second Opinion," Forum for Social Economics, Taylor & Francis Journals, vol. 39(2), pages 191-208, January.
    13. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.
    14. Bell, William Paul, 2009. "Adaptive interactive expectations: dynamically modelling profit expectations," MPRA Paper 38260, University Library of Munich, Germany, revised 09 Feb 2010.
    15. Amavilah, Voxi Heinrich, 2012. "The Caldwellian Methodological Pluralism: Wishful Thoughts and Personal Tendencies," MPRA Paper 44656, University Library of Munich, Germany, revised 28 Feb 2013.
    16. Pichl, Lukáš & Kaizoji, Taisei & Yamano, Takuya, 2007. "Stylized facts in internal rates of return on stock index and its derivative transactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 219-227.
    17. Stanislav S Borysov & Alexander V Balatsky, 2014. "Cross-Correlation Asymmetries and Causal Relationships between Stock and Market Risk," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-11, August.

  68. Laszlo Gillemot & J. Doyne Farmer & Fabrizio Lillo, 2005. "There's more to volatility than volume," Papers physics/0510007, arXiv.org.

    Cited by:

    1. Mei-Ling Cai & Zhang-HangJian Chen & Sai-Ping Li & Xiong Xiong & Wei Zhang & Ming-Yuan Yang & Fei Ren, 2022. "New volatility evolution model after extreme events," Papers 2201.03213, arXiv.org.
    2. Mingjie Ji & Honggang Li, 2016. "Exploring Price Fluctuations in a Double Auction Market," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 189-209, August.
    3. Yamamoto, Ryuichi, 2011. "Order aggressiveness, pre-trade transparency, and long memory in an order-driven market," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1938-1963.
    4. Z. Sun & P. A. Hamill & Y. Li & Y. C. Yang & S. A. Vigne, 2019. "Did long-memory of liquidity signal the European sovereign debt crisis?," Annals of Operations Research, Springer, vol. 282(1), pages 355-377, November.
    5. Szabolcs Mike & J. Doyne Farmer, 2007. "An empirical behavioral model of liquidity and volatility," Papers 0709.0159, arXiv.org.
    6. Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Ata Türkoğlu, 2016. "Normally distributed high-frequency returns: a subordination approach," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 389-409, March.
    8. Damien Challet & Nikita Gourianov, 2018. "Dynamical regularities of US equities opening and closing auctions," Post-Print hal-01702726, HAL.
    9. Marcus Cordi & Damien Challet & Serge Kassibrakis, 2021. "The market nanostructure origin of asset price time reversal asymmetry," Quantitative Finance, Taylor & Francis Journals, vol. 21(2), pages 295-304, February.
    10. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2006. "Relation between Bid-Ask Spread, Impact and Volatility in Double Auction Markets," Science & Finance (CFM) working paper archive 500067, Science & Finance, Capital Fund Management.
    11. Zheng, Zeyu & Gui, Jun & Qiao, Zhi & Fu, Yang & Stanley, H.Eugene & Li, Baowen, 2019. "New dynamics between volume and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1343-1350.
    12. Torben G. Andersen & Tim Bollerslev & Per Houmann Frederiksen & Morten Ørregaard Nielsen, 2007. "Continuous-Time Models, Realized Volatilities, and Testable Distributional Implications for Daily Stock Returns," CREATES Research Papers 2007-21, Department of Economics and Business Economics, Aarhus University.
    13. Zhi-Qiang Jiang & Wei-Xing Zhou, 2010. "Complex stock trading network among investors," Papers 1003.2459, arXiv.org, revised May 2010.
    14. Timoth'ee Fabre & Vincent Ragel, 2023. "Tackling the Problem of State Dependent Execution Probability: Empirical Evidence and Order Placement," Papers 2307.04863, arXiv.org.
    15. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2011. "How efficiency shapes market impact," Papers 1102.5457, arXiv.org, revised Sep 2013.
    16. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2008. "Relation between bid-ask spread, impact and volatility in order-driven markets," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 41-57.
    17. Szabolcs Mike & J. Doyne Farmer, 2005. "An empirical behavioral model of price formation," Papers physics/0509194, arXiv.org, revised Oct 2005.
    18. Andersen, Torben G. & Bollerslev, Tim & Dobrev, Dobrislav, 2007. "No-arbitrage semi-martingale restrictions for continuous-time volatility models subject to leverage effects, jumps and i.i.d. noise: Theory and testable distributional implications," Journal of Econometrics, Elsevier, vol. 138(1), pages 125-180, May.
    19. Gianbiagio Curato & Fabrizio Lillo, 2013. "Modeling the coupled return-spread high frequency dynamics of large tick assets," Papers 1310.4539, arXiv.org.
    20. Rafael Velasco-Fuentes & Wing Lon Ng, 2011. "Nonlinearities in stochastic clocks: trades and volume as subordinators of electronic markets," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 863-881.

  69. F. Lillo & Szabolcs Mike & J. Doyne Farmer, 2004. "A theory for long-memory in supply and demand," Papers cond-mat/0412708, arXiv.org, revised Mar 2005.

    Cited by:

    1. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    2. Fabrizio Pomponio & Frédéric Abergel, 2013. "Multiple-limit trades : empirical facts and application to lead-lag measures," Post-Print hal-00745317, HAL.
    3. Ismael Lemhadri, 2018. "Market Impact in a Latent Order Book," Papers 1802.06101, arXiv.org, revised Sep 2020.
    4. Wei-Xing Zhou, 2012. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1253-1263, June.
    5. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
    6. Yamamoto, Ryuichi, 2011. "Order aggressiveness, pre-trade transparency, and long memory in an order-driven market," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1938-1963.
    7. Andrey Shternshis & Stefano Marmi, 2023. "Price predictability at ultra-high frequency: Entropy-based randomness test," Papers 2312.16637, arXiv.org, revised Dec 2023.
    8. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    9. Szabolcs Mike & J. Doyne Farmer, 2007. "An empirical behavioral model of liquidity and volatility," Papers 0709.0159, arXiv.org.
    10. Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Angelo Carollo & Gabriella Vaglica & Fabrizio Lillo & Rosario N. Mantegna, 2012. "Trading activity and price impact in parallel markets: SETS vs. off-book market at the London Stock Exchange," Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 517-530, November.
    12. Jim Gatheral, 2010. "No-dynamic-arbitrage and market impact," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 749-759.
    13. Ismael Lemhadri, 2018. "Market impact in a latent order book," Working Papers hal-01711192, HAL.
    14. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2006. "Relation between Bid-Ask Spread, Impact and Volatility in Double Auction Markets," Science & Finance (CFM) working paper archive 500067, Science & Finance, Capital Fund Management.
    15. B. Tóth & Z. Eisler & F. Lillo & J. Kockelkoren & J.-P. Bouchaud & J.D. Farmer, 2012. "How does the market react to your order flow?," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1015-1024, May.
    16. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    17. 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.
    18. Bence Toth & Yves Lemperiere & Cyril Deremble & Joachim de Lataillade & Julien Kockelkoren & Jean-Philippe Bouchaud, 2011. "Anomalous price impact and the critical nature of liquidity in financial markets," Papers 1105.1694, arXiv.org, revised Nov 2011.
    19. Ioanna-Yvonni Tsaknaki & Fabrizio Lillo & Piero Mazzarisi, 2023. "Online Learning of Order Flow and Market Impact with Bayesian Change-Point Detection Methods," Papers 2307.02375, arXiv.org.
    20. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2011. "How efficiency shapes market impact," Papers 1102.5457, arXiv.org, revised Sep 2013.
    21. Blake LeBaron & Ryuichi Yamamoto, 2008. "The Impact of Imitation on Long Memory in an Order-Driven Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 504-517.
    22. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2008. "Relation between bid-ask spread, impact and volatility in order-driven markets," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 41-57.
    23. Kevin Primicerio & Damien Challet, 2019. "Large large-trader activity weakens the long memory of limit order markets," Post-Print hal-02021772, HAL.
    24. Damian Eduardo Taranto & Giacomo Bormetti & Jean-Philippe Bouchaud & Fabrizio Lillo & Bence Toth, 2016. "Linear models for the impact of order flow on prices I. Propagators: Transient vs. History Dependent Impact," Papers 1602.02735, arXiv.org.
    25. Rosella Castellano & Roy Cerqueti & Giulia Rotundo, 2020. "Exploring the financial risk of a temperature index: a fractional integrated approach," Annals of Operations Research, Springer, vol. 284(1), pages 225-242, January.
    26. 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.
    27. Gu, Gao-Feng & Xiong, Xiong & Zhang, Yong-Jie & Chen, Wei & Zhang, Wei & Zhou, Wei-Xing, 2016. "Stylized facts of price gaps in limit order books," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 48-58.
    28. Thibault Jaisson, 2015. "Market impact as anticipation of the order flow imbalance," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1123-1135, July.
    29. Emmanuel Bacry & Thibault Jaisson & Jean-Francois Muzy, 2014. "Estimation of slowly decreasing Hawkes kernels: Application to high frequency order book modelling," Papers 1412.7096, arXiv.org.
    30. Julius Bonart & Fabrizio Lillo, 2016. "A continuous and efficient fundamental price on the discrete order book grid," Papers 1608.00756, arXiv.org, revised Aug 2016.
    31. Jonathan Donier, 2012. "Market Impact with Autocorrelated Order Flow under Perfect Competition," Papers 1212.4770, arXiv.org.
    32. Iacopo Mastromatteo & Bence Toth & Jean-Philippe Bouchaud, 2013. "Agent-based models for latent liquidity and concave price impact," Papers 1311.6262, arXiv.org, revised Dec 2014.
    33. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "The Long Memory of Order Flow in the Foreign Exchange Spot Market," Papers 1504.04354, arXiv.org, revised Oct 2015.
    34. Çetin, Umut & Waelbroeck, Henri, 2023. "Power laws in market microstructure," LSE Research Online Documents on Economics 120809, London School of Economics and Political Science, LSE Library.
    35. Szabolcs Mike & J. Doyne Farmer, 2005. "An empirical behavioral model of price formation," Papers physics/0509194, arXiv.org, revised Oct 2005.
    36. Thibault Jaisson, 2014. "Market impact as anticipation of the order flow imbalance," Papers 1402.1288, arXiv.org.
    37. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    38. Bonart, Julius & Lillo, Fabrizio, 2018. "A continuous and efficient fundamental price on the discrete order book grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 698-713.
    39. Paolo Barucca & Fabrizio Lillo, 2017. "Behind the price: on the role of agent's reflexivity in financial market microstructure," Papers 1708.07047, arXiv.org.
    40. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    41. Joshin Murai, 2016. "A model of transaction signs with order splitting and public information," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 469-480, December.
    42. Umut c{C}etin & Henri Waelbroeck, 2020. "Informed trading, limit order book and implementation shortfall: equilibrium and asymptotics," Papers 2003.04425, arXiv.org.
    43. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).
    44. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "Quasi-Centralized Limit Order Books," Papers 1502.00680, arXiv.org, revised Oct 2016.
    45. Damian Eduardo Taranto & Giacomo Bormetti & Jean-Philippe Bouchaud & Fabrizio Lillo & Bence Toth, 2016. "Linear models for the impact of order flow on prices II. The Mixture Transition Distribution model," Papers 1604.07556, arXiv.org.
    46. Yuki Sato & Kiyoshi Kanazawa, 2023. "Exact solution to a generalised Lillo-Mike-Farmer model with heterogeneous order-splitting strategies," Papers 2306.13378, arXiv.org, revised Nov 2023.
    47. Axioglou, Christos & Skouras, Spyros, 2011. "Markets change every day: Evidence from the memory of trade direction," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 423-446, June.

  70. J. Doyne Farmer & Fabrizio Lillo, 2003. "On the origin of power law tails in price fluctuations," Papers cond-mat/0309416, arXiv.org, revised Jan 2004.

    Cited by:

    1. Haochen Li & Yi Cao & Maria Polukarov & Carmine Ventre, 2023. "An Empirical Analysis on Financial Markets: Insights from the Application of Statistical Physics," Papers 2308.14235, arXiv.org, revised Dec 2023.
    2. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
    3. Levy, Moshe, 2008. "Stock market crashes as social phase transitions," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 137-155, January.
    4. David Morton de Lachapelle & Damien Challet, 2009. "Turnover, account value and diversification of real traders: evidence of collective portfolio optimizing behavior," Papers 0912.4723, arXiv.org, revised Jun 2010.
    5. Stanley, H.E. & Gabaix, Xavier & Gopikrishnan, Parameswaran & Plerou, Vasiliki, 2007. "Economic fluctuations and statistical physics: Quantifying extremely rare and less rare events in finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 286-301.
    6. Wei-Xing Zhou, 2012. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1253-1263, June.
    7. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
    8. J. B. Glattfelder & A. Dupuis & R. B. Olsen, 2008. "Patterns in high-frequency FX data: Discovery of 12 empirical scaling laws," Papers 0809.1040, arXiv.org, revised Jun 2010.
    9. Laszlo Gillemot & J. Doyne Farmer & Fabrizio Lillo, 2005. "There's more to volatility than volume," Papers physics/0510007, arXiv.org.
    10. Danilova, Albina & Julliard, Christian, 2015. "Information asymmetries, volatility, liquidity and the Tobin Tax," LSE Research Online Documents on Economics 119016, London School of Economics and Political Science, LSE Library.
    11. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    12. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    13. Philipp Weber & Bernd Rosenow, 2006. "Large stock price changes: volume or liquidity?," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 7-14.
    14. Hokky Situngkir & Yohanes Surya, 2004. "Stylized Statistical Facts of Indonesian Financial Data: Empirical Study of Several Stock Indexes in Indonesia," Papers cond-mat/0403465, arXiv.org.
    15. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    16. Kaizoji, Taisei & Miyano, Michiko, 2016. "Why does the power law for stock price hold?," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 19-23.
    17. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    18. Derksen, M. & Kleijn, B. & de Vilder, R., 2022. "Heavy tailed distributions in closing auctions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    19. Xiao-Hui Ni & Zhi-Qiang Jiang & Gao-Feng Gu & Fei Ren & Wei Chen & Wei-Xing Zhou, 2009. "Scaling and memory in the non-poisson process of limit order cancelation," Papers 0911.0057, arXiv.org.
    20. Lux, Thomas, 2006. "Financial power laws: Empirical evidence, models, and mechanism," Economics Working Papers 2006-12, Christian-Albrechts-University of Kiel, Department of Economics.
    21. Lux, Thomas, 2008. "Applications of statistical physics in finance and economics," Kiel Working Papers 1425, Kiel Institute for the World Economy (IfW Kiel).
    22. Fricke, Daniel & Lux, Thomas, 2013. "The effects of a financial transaction tax in an artificial financial market," Kiel Working Papers 1868, Kiel Institute for the World Economy (IfW Kiel).
    23. Zhi-Qiang Jiang & Wei-Xing Zhou, 2010. "Complex stock trading network among investors," Papers 1003.2459, arXiv.org, revised May 2010.
    24. Rashkovskiy, S.A., 2021. "Thermodynamics of markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    25. Sitabhra Sinha & Raj Kumar Pan, 2006. "The Power (Law) of Indian Markets: Analysing NSE and BSE trading statistics," Papers physics/0605247, arXiv.org.
    26. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    27. Gu, Gao-Feng & Xiong, Xiong & Zhang, Yong-Jie & Chen, Wei & Zhang, Wei & Zhou, Wei-Xing, 2016. "Stylized facts of price gaps in limit order books," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 48-58.
    28. Wu, Ting & Wang, Yue & Li, Ming-Xia, 2017. "Post-hit dynamics of price limit hits in the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 464-471.
    29. Stijn De Backer & Luis E. C. Rocha & Jan Ryckebusch & Koen Schoors, 2024. "On the potential of quantum walks for modeling financial return distributions," Papers 2403.19502, arXiv.org.
    30. Wagner, D.C. & Schmitt, T.A. & Schäfer, R. & Guhr, T. & Wolf, D.E., 2014. "Analysis of a decision model in the context of equilibrium pricing and order book pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 347-353.
    31. Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2005. "Institutional Investors and Stock Market Volatility," NBER Working Papers 11722, National Bureau of Economic Research, Inc.
    32. Gao-Feng Gu & Xiong Xiong & Yong-Jie Zhang & Wei Chen & Wei Zhang & Wei-Xing Zhou, 2014. "Stylized facts of price gaps in limit order books: Evidence from Chinese stocks," Papers 1405.1247, arXiv.org.
    33. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    34. Gao-Feng Gu & Xiong Xiong & Wei Zhang & Yong-Jie Zhang & Wei-Xing Zhou, 2014. "Empirical properties of inter-cancellation durations in the Chinese stock market," Papers 1403.3478, arXiv.org.
    35. Maake, Witness & Van Zyl, Terence, 2020. "Applications of Machine Learning to Estimating the Sizes and Market Impact of Hidden Orders in the BRICS Financial Markets," MPRA Paper 99075, University Library of Munich, Germany.
    36. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    37. Paolo Barucca & Fabrizio Lillo, 2017. "Behind the price: on the role of agent's reflexivity in financial market microstructure," Papers 1708.07047, arXiv.org.
    38. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    39. Bacry, Emmanuel & Kozhemyak, Alexey & Muzy, Jean-François, 2006. "Are asset return tail estimations related to volatility long-range correlations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 119-126.
    40. Daniel C. Wagner & Thilo A. Schmitt & Rudi Schafer & Thomas Guhr & Dietrich E. Wolf, 2014. "Analysis of a decision model in the context of equilibrium pricing and order book pricing," Papers 1404.7356, arXiv.org.
    41. Kim, Jae Ho & Powell, Warren B., 2011. "An hour-ahead prediction model for heavy-tailed spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1252-1266.
    42. James B. Glattfelder & Thomas Bisig & Richard B. Olsen, 2014. "R&D Strategy Document," Papers 1405.6027, arXiv.org.
    43. Hai-Chuan Xu & Zhi-Qiang Jiang & Wei-Xing Zhou, 2016. "Immediate price impact of a stock and its warrant: Power-law or logarithmic model?," Papers 1611.04091, arXiv.org.
    44. Harvey, M. & Hendricks, D. & Gebbie, T. & Wilcox, D., 2017. "Deviations in expected price impact for small transaction volumes under fee restructuring," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 416-426.
    45. Stanley, H. Eugene & Plerou, Vasiliki & Gabaix, Xavier, 2008. "A statistical physics view of financial fluctuations: Evidence for scaling and universality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3967-3981.
    46. Gabaix, Xavier & Gopikrishnan, Parameswaran & Plerou, Vasiliki & Eugene Stanley, H., 2008. "Quantifying and understanding the economics of large financial movements," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 303-319, January.

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    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2020. "Nonlinear analysis of Casablanca Stock Exchange, Dow Jones and S&P500 industrial sectors with a comparison," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    2. Adam Ponzi & Fabrizio Lillo & Rosario N. Mantegna, 2006. "Market reaction to temporary liquidity crises and the permanent market impact," Papers physics/0608032, arXiv.org.
    3. Gu, Gao-Feng & Chen, Wei & Zhou, Wei-Xing, 2008. "Empirical shape function of limit-order books in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5182-5188.
    4. Ban Zheng & François Roueff & Frédéric Abergel, 2014. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Post-Print hal-00777941, HAL.
    5. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    6. Fabrizio Pomponio & Frédéric Abergel, 2013. "Multiple-limit trades : empirical facts and application to lead-lag measures," Post-Print hal-00745317, HAL.
    7. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
    8. Zoltan Eisler & Janos Kertesz & Fabrizio Lillo & Rosario Mantegna, 2009. "Diffusive behavior and the modeling of characteristic times in limit order executions," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 547-563.
    9. Gontis, V. & Havlin, S. & Kononovicius, A. & Podobnik, B. & Stanley, H.E., 2016. "Stochastic model of financial markets reproducing scaling and memory in volatility return intervals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1091-1102.
    10. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
    11. Liu, Yuna, 2016. "Essays on Stock Market Integration - On Stock Market Efficiency, Price Jumps and Stock Market Correlations," Umeå Economic Studies 926, Umeå University, Department of Economics.
    12. Ioane Muni Toke, 2017. "Stationary Distribution Of The Volume At The Best Quote In A Poisson Order Book Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-22, September.
    13. Ioane Muni Toke, 2017. "Stationary Distribution Of The Volume At The Best Quote In A Poisson Order Book Model," Post-Print hal-01705085, HAL.
    14. Ioane Muni Toke, 2015. "Stationary distribution of the volume at the best quote in a Poisson order book model," Papers 1502.03871, arXiv.org.
    15. Sandoval, Leonidas & Franca, Italo De Paula, 2012. "Correlation of financial markets in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 187-208.
    16. Rama Cont & Adrien de Larrard, 2013. "Price Dynamics in a Markovian Limit Order Market," Post-Print hal-00552252, HAL.
    17. Oral Erdogan & Ari Yezegel, 2009. "The news of no news in stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 9(8), pages 897-909.
    18. Wei-Xing Zhou, 2012. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1253-1263, June.
    19. Ladislav Kristoufek, 2013. "Fractal Markets Hypothesis and the Global Financial Crisis: Wavelet Power Evidence," Papers 1310.1446, arXiv.org.
    20. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    21. Laszlo Gillemot & J. Doyne Farmer & Fabrizio Lillo, 2005. "There's more to volatility than volume," Papers physics/0510007, arXiv.org.
    22. Paolo Pelizzari & Frank Westerhoff, 2007. "Some Effects of Transaction Taxes Under Different Microstructures," Research Paper Series 212, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    24. Yilmaz Yildiz & Mehmet Baha Karan, 2020. "Environmental policies, national culture, and stock price crash risk: Evidence from renewable energy firms," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2374-2391, September.
    25. Jorge Pérez-Rodríguez & Beatriz G Valcarcel, 2011. "Do product innovation and news about the R&D process produce large price changes and overreaction? The case of pharmaceutical stock prices," Post-Print hal-00687812, HAL.
    26. Leonidas Sandoval Junior & Italo De Paula Franca, 2011. "Correlation of financial markets in times of crisis," Papers 1102.1339, arXiv.org, revised Mar 2011.
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    34. Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Marcin Wk{a}torek, 2023. "What is mature and what is still emerging in the cryptocurrency market?," Papers 2305.05751, arXiv.org.
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    Cited by:

    1. Willis, Geoff, 2011. "Pricing, liquidity and the control of dynamic systems in finance and economics," MPRA Paper 31137, University Library of Munich, Germany.
    2. Claude Montmarquette, 2008. "L'économétrie des données expérimentales : défis et opportunités," Economie & Prévision, La Documentation Française, vol. 0(1), pages 7-17.
    3. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    4. Eric Smith & J. Doyne Farmer & Laszlo Gillemot & Supriya Krishnamurthy, 2002. "Statistical theory of the continuous double auction," Papers cond-mat/0210475, arXiv.org.
    5. Efstathios Panayi & Gareth Peters, 2015. "Stochastic simulation framework for the Limit Order Book using liquidity motivated agents," Papers 1501.02447, arXiv.org, revised Jan 2015.
    6. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    7. Zoltan Eisler & Janos Kertesz & Fabrizio Lillo & Rosario Mantegna, 2009. "Diffusive behavior and the modeling of characteristic times in limit order executions," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 547-563.
    8. Ismael Lemhadri, 2018. "Market Impact in a Latent Order Book," Papers 1802.06101, arXiv.org, revised Sep 2020.
    9. J. Emeterio Navarro Barrientos & Frank E. Walter & Frank Schweitzer, 2008. "Risk-Seeking versus Risk-Avoiding Investments in Noisy Periodic Environments," Papers 0801.4305, arXiv.org, revised Sep 2008.
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    11. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
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    Cited by:

    1. U. Çetin & R. Jarrow & P. Protter & M. Warachka, 2008. "Pricing Options in an Extended Black Scholes Economy with Illiquidity: Theory and Empirical Evidence," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 9, pages 185-221, World Scientific Publishing Co. Pte. Ltd..
    2. Sornette, Didier & Zhou, Wei-Xing, 2006. "Importance of positive feedbacks and overconfidence in a self-fulfilling Ising model of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 704-726.
    3. Filip Stanek & Jiri Kukacka, 2018. "The Impact of the Tobin Tax in a Heterogeneous Agent Model of the Foreign Exchange Market," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 865-892, April.
    4. Alexandru Mandes, 2014. "Order Placement in a Continuous Double Auction Agent Based Model," MAGKS Papers on Economics 201443, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Marcus Lim & Richard Coggins, 2005. "The immediate price impact of trades on the Australian Stock Exchange," Quantitative Finance, Taylor & Francis Journals, vol. 5(4), pages 365-377.
    7. Damien Challet & Robin Stinchcombe, 2003. "Non-constant rates and over-diffusive prices in a simple model of limit order markets," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 155-162.
    8. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    9. M. Cristelli & V. Alfi & L. Pietronero & A. Zaccaria, 2009. "Liquidity Crisis, Granularity of the Order Book and Price Fluctuations," Papers 0902.4159, arXiv.org, revised Jul 2009.
    10. Alexandru Mandes, 2016. "Algorithmic and High-Frequency Trading Strategies: A Literature Review," MAGKS Papers on Economics 201625, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  75. M. E. J. Newman & Michelle Girvan & J. Doyne Farmer, 2002. "Optimal Design, Robustness, and Risk Aversion," Working Papers 02-02-009, Santa Fe Institute.

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    1. Kenneth T. Bogen & Edwin D. Jones, 2006. "Risks of Mortality and Morbidity from Worldwide Terrorism: 1968–2004," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 45-59, February.
    2. Hüser, Christian, 2006. "Robustness - a challenge also for the 21st century: A review of robustness phenomena in technical, biological and social systems as well as robust approaches in engineering, computer science, operatio," UFZ Discussion Papers 2/2006, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).

  76. Eric Smith & J. Doyne Farmer & Laszlo Gillemot & Supriya Krishnamurthy, 2002. "Statistical theory of the continuous double auction," Papers cond-mat/0210475, arXiv.org.

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    1. Sousa, Tânia & Domingos, Tiago, 2006. "Equilibrium econophysics: A unified formalism for neoclassical economics and equilibrium thermodynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 492-512.
    2. Ye-Sheen Lim & Denise Gorse, 2021. "Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow," Papers 2109.13905, arXiv.org.
    3. Antoine Jacquier & Hao Liu, 2017. "Optimal liquidation in a Level-I limit order book for large tick stocks," Papers 1701.01327, arXiv.org, revised Nov 2017.
    4. Maxime Morariu-Patrichi & Mikko S. Pakkanen, 2018. "State-dependent Hawkes processes and their application to limit order book modelling," Papers 1809.08060, arXiv.org, revised Sep 2021.
    5. Ban Zheng & François Roueff & Frédéric Abergel, 2014. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Post-Print hal-00777941, HAL.
    6. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    7. Haochen Li & Yi Cao & Maria Polukarov & Carmine Ventre, 2023. "An Empirical Analysis on Financial Markets: Insights from the Application of Statistical Physics," Papers 2308.14235, arXiv.org, revised Dec 2023.
    8. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    9. Charles-Albert Lehalle, 2013. "Market Microstructure Knowledge Needed for Controlling an Intra-Day Trading Process," Papers 1302.4592, arXiv.org.
    10. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
    11. Martin Šmíd, 2016. "Estimation of zero-intelligence models by L1 data," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1423-1444, September.
    12. Nicolas Baradel & Bruno Bouchard & David Evangelista & Othmane Mounjid, 2019. "Optimal inventory management and order book modeling," Post-Print hal-01710301, HAL.
    13. Efstathios Panayi & Gareth Peters, 2015. "Stochastic simulation framework for the Limit Order Book using liquidity motivated agents," Papers 1501.02447, arXiv.org, revised Jan 2015.
    14. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    15. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
    16. Ioane Muni Toke, 2017. "Stationary Distribution Of The Volume At The Best Quote In A Poisson Order Book Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-22, September.
    17. Martin D. Gould & Julius Bonart, 2015. "Queue Imbalance as a One-Tick-Ahead Price Predictor in a Limit Order Book," Papers 1512.03492, arXiv.org.
    18. Rama Cont & Marvin S. Mueller, 2019. "A stochastic partial differential equation model for limit order book dynamics," Papers 1904.03058, arXiv.org, revised May 2021.
    19. Jo~ao Pedro Jerico & Franc{c}ois P. Landes & Matteo Marsili & Isaac P'erez Castillo & Valerio Volpati, 2016. "When does inequality freeze an economy?," Papers 1602.07300, arXiv.org, revised Apr 2016.
    20. Ioane Muni Toke, 2015. "Stationary distribution of the volume at the best quote in a Poisson order book model," Papers 1502.03871, arXiv.org.
    21. Clinet, Simon & Yoshida, Nakahiro, 2017. "Statistical inference for ergodic point processes and application to Limit Order Book," Stochastic Processes and their Applications, Elsevier, vol. 127(6), pages 1800-1839.
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    23. Ichiki, Shingo & Nishinari, Katsuhiro, 2015. "Simple stochastic order-book model of swarm behavior in continuous double auction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 304-314.
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  77. Yuzuru Sato & Eizo Akiyama & J. Doyne Farmer, 2001. "Chaos in Learning a Simple Two Person Game," Working Papers 01-09-049, Santa Fe Institute.

    Cited by:

    1. Cherkashin, Dmitriy & Farmer, J. Doyne & Lloyd, Seth, 2009. "The reality game," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1091-1105, May.
      • Dmitriy Cherkashin & J. Doyne Farmer & Seth Lloyd, 2009. "The Reality Game," Papers 0902.0100, arXiv.org, revised Feb 2009.
    2. Jakub Bielawski & Thiparat Chotibut & Fryderyk Falniowski & Michal Misiurewicz & Georgios Piliouras, 2022. "Unpredictable dynamics in congestion games: memory loss can prevent chaos," Papers 2201.10992, arXiv.org, revised Jan 2022.
    3. Manfred Nermuth & Carlos Alos-Ferrer, 2003. "A comment on "The selection of preferences through imitation"," Economics Bulletin, AccessEcon, vol. 3(7), pages 1-9.
    4. Platkowski, Tadeusz & Zakrzewski, Jan, 2011. "Asymptotically stable equilibrium and limit cycles in the Rock–Paper–Scissors game in a population of players with complex personalities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4219-4226.
    5. Michael J. Fox & Jeff S. Shamma, 2013. "Population Games, Stable Games, and Passivity," Games, MDPI, vol. 4(4), pages 1-23, October.
    6. John Realpe-Gómez & Daniele Vilone & Giulia Andrighetto & Luis G. Nardin & Javier A. Montoya, 2018. "Learning Dynamics and Norm Psychology Supports Human Cooperation in a Large-Scale Prisoner’s Dilemma on Networks," Games, MDPI, vol. 9(4), pages 1-14, November.
    7. Steve Phelps & Wing Lon Ng, 2014. "A Simulation Analysis Of Herding And Unifractal Scaling Behaviour," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 39-58, January.

  78. J. Doyne Farmer & Shareen Joshi, 2000. "The price dynamics of common trading strategies," Papers cond-mat/0012419, arXiv.org.

    Cited by:

    1. Stefan Reitz & Frank Westerhoff, 2007. "Commodity price cycles and heterogeneous speculators: a STAR–GARCH model," Empirical Economics, Springer, vol. 33(2), pages 231-244, September.
    2. Lino Sau, 2013. "Instability and Crisis in Financial Complex Systems," Review of Political Economy, Taylor & Francis Journals, vol. 25(3), pages 496-511, July.
    3. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Noemi Schmitt & Frank Westerhoff, 2017. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1041-1070, November.
    5. Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
    6. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    7. Cars H. Hommes, 2001. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," Tinbergen Institute Discussion Papers 01-014/1, Tinbergen Institute.
    8. Roberto Dieci & Ilaria Foroni & Laura Gardini & Xue-Zhong He, 2005. "Market Mood, Adaptive Beliefs and Asset Price Dynamics," Research Paper Series 162, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Huang, Weihong & Zheng, Huanhuan & Chia, Wai-Mun, 2010. "Financial crises and interacting heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1105-1122, June.
    10. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    11. Federico Botta & Helen Susannah Moat & H Eugene Stanley & Tobias Preis, 2015. "Quantifying Stock Return Distributions in Financial Markets," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    12. Schmidhuber, Christof, 2021. "Trends, reversion, and critical phenomena in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    13. Weihong Huang & Huanhuan Zheng & Wai-Mun Chia, 2013. "Asymmetric returns, gradual bubbles and sudden crashes," The European Journal of Finance, Taylor & Francis Journals, vol. 19(5), pages 420-437, May.
    14. Dirk G Baur & Kristoffer Glover, 2012. "A Gold Bubble?," Working Paper Series 175, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
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    39. Choi, Jaehyung, 2014. "Physical approach to price momentum and its application to momentum strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 61-72.
    40. Gleria, Iram & Matsushita, Raul & Da Silva, Sergio, 2007. "Sistemas complexos, criticalidade e leis de potencia," MPRA Paper 3850, University Library of Munich, Germany.
    41. Yi-Jang Yu, 2015. "Short-term Technical Predictive Ability in the Taipei Stock Market," Research in World Economy, Research in World Economy, Sciedu Press, vol. 6(2), pages 50-61, June.

  81. J. Doyne Farmer, 1999. "Physicists Attempt to Scale the Ivory Towers of Finance," Working Papers 99-10-073, Santa Fe Institute.

    Cited by:

    1. Stanley, H.E & Amaral, L.A.N & Gopikrishnan, P & Plerou, V, 2000. "Scale invariance and universality of economic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 283(1), pages 31-41.
    2. Schinckus, Christophe, 2010. "Is econophysics a new discipline? The neopositivist argument," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3814-3821.
    3. Franke, Reiner, 2003. "Reinforcement learning in the El Farol model," Journal of Economic Behavior & Organization, Elsevier, vol. 51(3), pages 367-388, July.
    4. Zapart, Christopher A., 2009. "On entropy, financial markets and minority games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1157-1172.
    5. Anderson, Nicola & Noss, Joseph, 2013. "Financial Stability Paper No 23: The Fractal Market Hypothesis and its implications for the stability of financial markets," Bank of England Financial Stability Papers 23, Bank of England.
    6. Gopikrishnan, P & Plerou, V & Liu, Y & Amaral, L.A.N & Gabaix, X & Stanley, H.E, 2000. "Scaling and correlation in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 362-373.
    7. Dupoyet, B. & Fiebig, H.R. & Musgrove, D.P., 2010. "Gauge invariant lattice quantum field theory: Implications for statistical properties of high frequency financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 107-116.
    8. Gopikrishnan, P. & Plerou, V. & Gabaix, X. & Amaral, L.A.N. & Stanley, H.E., 2001. "Price fluctuations and market activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 137-143.
    9. S. M. Duarte Queiros, 2005. "On non-Gaussianity and dependence in financial time series: a nonextensive approach," Quantitative Finance, Taylor & Francis Journals, vol. 5(5), pages 475-487.
    10. J. Doyne Farmer & Shareen Joshi, 2000. "The price dynamics of common trading strategies," Papers cond-mat/0012419, arXiv.org.
    11. J. Doyne Farmer, 1999. "Market Force, Ecology, and Evolution," Computing in Economics and Finance 1999 651, Society for Computational Economics.
    12. Stanley, H.E. & Gopikrishnan, P. & Plerou, V. & Amaral, L.A.N., 2000. "Quantifying fluctuations in economic systems by adapting methods of statistical physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 339-361.
    13. C. Lawrenz & F. Westerhoff, 2003. "Modeling Exchange Rate Behavior with a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 209-229, June.
    14. Darbellay, Georges A & Wuertz, Diethelm, 2000. "The entropy as a tool for analysing statistical dependences in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 429-439.
    15. Shi-Woei Lin & Hui-Lung Huang, 2007. "Agent-Based Modeling To Investigate The Disposition Effect In Financial Markets," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 145-163.
    16. Suárez-García, Pablo & Gómez-Ullate, David, 2013. "Scaling, stability and distribution of the high-frequency returns of the Ibex35 index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1409-1417.
    17. Eric Ringhut & Stefan Kooths, 2003. "Modeling Expectations with GENEFER – an Artificial Intelligence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 173-194, February.
    18. Jean Philippe Bouchaud & Matteo Marsili & Jean-Pierre Nadal, 2023. "Application of spin glass ideas in social sciences, economics and finance," Post-Print hal-04145594, HAL.
    19. Fei Ren & Wei-Xing Zhou, 2013. "Dynamic evolution of cross-correlations in the Chinese stock market," Papers 1308.1154, arXiv.org, revised Dec 2013.
    20. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, "undated". "Economic Networks: What do we know and what do we need to know?," Working Papers CCSS-09-010, ETH Zurich, Chair of Systems Design.
    21. Cross, Rod & Grinfeld, Michael & Lamba, Harbir & Seaman, Tim, 2005. "A threshold model of investor psychology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 463-478.
    22. Eduardo Zambrano, 2004. "The Interplay between Analytics and Computation in the Study of Congestion Externalities: The Case of the El Farol Problem," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 375-395, May.
    23. Jean-Philippe Bouchaud, 2002. "An introduction to statistical finance," Science & Finance (CFM) working paper archive 313238, Science & Finance, Capital Fund Management.
    24. Carl Chiarella & Tony He, 2002. "An Adaptive Model on Asset Pricing and Wealth Dynamics with Heterogeneous Trading Strategies," Computing in Economics and Finance 2002 135, Society for Computational Economics.
    25. Ferreira, Fernando F & Francisco, Gerson & Machado, Birajara S & Muruganandam, Paulsamy, 2003. "Time series analysis for minority game simulations of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(3), pages 619-632.
    26. Jean-Philippe Bouchaud, 2000. "Power-laws in economics and finance: some ideas from physics," Science & Finance (CFM) working paper archive 500023, Science & Finance, Capital Fund Management.
    27. Ingve Simonsen & Mogens H. Jensen & Anders Johansen, 2002. "Optimal Investment Horizons," Papers cond-mat/0202352, arXiv.org.
    28. Stijn De Backer & Luis E. C. Rocha & Jan Ryckebusch & Koen Schoors, 2024. "On the potential of quantum walks for modeling financial return distributions," Papers 2403.19502, arXiv.org.
    29. Wang, Zhuo & Shang, Pengjian, 2021. "Generalized entropy plane based on multiscale weighted multivariate dispersion entropy for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    30. Selçuk, Faruk & Gençay, Ramazan, 2006. "Intraday dynamics of stock market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 375-387.
    31. Philip V. Fellman & Jonathan Vos Post & Roxana Wright & Usha Dasari, 2007. "Adaptation and Coevolution on an Emergent Global Competitive Landscape," Papers 0707.0854, arXiv.org.
    32. Valdez, Emiliano A. & Dhaene, Jan & Maj, Mateusz & Vanduffel, Steven, 2009. "Bounds and approximations for sums of dependent log-elliptical random variables," Insurance: Mathematics and Economics, Elsevier, vol. 44(3), pages 385-397, June.
    33. Stanley, H.E & Amaral, L.A.N & Gopikrishnan, P & Ivanov, P.Ch & Keitt, T.H & Plerou, V, 2000. "Scale invariance and universality: organizing principles in complex systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 60-68.
    34. Bouchaud, Jean-Philippe, 2002. "An introduction to statistical finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(1), pages 238-251.
    35. Y. Malevergne & V. F. Pisarenko & D. Sornette, 2003. "Empirical Distributions of Log-Returns: between the Stretched Exponential and the Power Law?," Papers physics/0305089, arXiv.org.
    36. Frank Westerhoff & Claudia Lawrenz, 2000. "Explaining Exchange Rate Volatility With A Genetic Algorithm," Computing in Economics and Finance 2000 325, Society for Computational Economics.
    37. Frank Westerhoff, 2003. "Multi-Asset Market Dynamics," Computing in Economics and Finance 2003 88, Society for Computational Economics.
    38. Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.
    39. Eisler, Z. & Kertész, J., 2004. "Multifractal model of asset returns with leverage effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 603-622.
    40. José Carlos Ramirez Sánchez, 2004. "Usos y limitaciones de los procesos estocásticos en el tratamiento de distribuciones de rendimientos con colas gordas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 51-76, June.
    41. Donangelo, R. & Hansen, A. & Sneppen, K. & Souza, S.R., 2000. "Physics of fashion fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 539-545.
    42. Giardina, Irene & Bouchaud, Jean-Philippe, 2003. "Volatility clustering in agent based market models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 6-16.
    43. Zawadowski, A.G & Karádi, R & Kertész, J, 2002. "Price drops, fluctuations, and correlation in a multi-agent model of stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 403-412.
    44. Jean-Philippe Bouchaud & Matteo Marsili & Jean-Pierre Nadal, 2023. "Application of spin glass ideas in social sciences, economics and finance," Papers 2306.16165, arXiv.org.

  82. Pangallo, Marco & Farmer, J. Doyne & Heinrich, Torsten, "undated". "Best reply structure and equilibrium convergence in generic games," INET Oxford Working Papers 2017-07, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Mar 2018.

    Cited by:

    1. Collins, Sean M. & James, Duncan & Servátka, Maroš & Vadovič, Radovan, 2021. "Attainment of equilibrium via Marshallian path adjustment: Queueing and buyer determinism," Games and Economic Behavior, Elsevier, vol. 125(C), pages 94-106.
    2. Pangallo, Marco & Heinrich, Torsten & Jang, Yoojin & Scott, Alex & Tarbush, Bassel & Wiese, Samuel & Mungo, Luca, 2021. "Best-Response Dynamics, Playing Sequences, And Convergence To Equilibrium In Random Games," INET Oxford Working Papers 2021-23, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Heinrich, Torsten & Wiese, Samuel, 2020. "The Frequency of Convergent Games under Best-Response Dynamics," INET Oxford Working Papers 2020-24, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Jakub Bielawski & Thiparat Chotibut & Fryderyk Falniowski & Michal Misiurewicz & Georgios Piliouras, 2022. "Unpredictable dynamics in congestion games: memory loss can prevent chaos," Papers 2201.10992, arXiv.org, revised Jan 2022.
    5. Ben Amiet & Andrea Collevecchio & Marco Scarsini & Ziwen Zhong, 2021. "Pure Nash Equilibria and Best-Response Dynamics in Random Games," Mathematics of Operations Research, INFORMS, vol. 46(4), pages 1552-1572, November.
    6. Torsten Heinrich & Yoojin Jang & Luca Mungo & Marco Pangallo & Alex Scott & Bassel Tarbush & Samuel Wiese, 2021. "Best-response dynamics, playing sequences, and convergence to equilibrium in random games," Papers 2101.04222, arXiv.org, revised Nov 2022.
    7. Collins, Sean M. & James, Duncan & Servátka, Maroš & Vadovič, Radovan, 2020. "Attainment of Equilibrium: Marshallian Path Adjustment and Buyer Determinism," MPRA Paper 104103, University Library of Munich, Germany.
    8. Samuel C. Wiese & Torsten Heinrich, 2020. "The Frequency of Convergent Games under Best-Response Dynamics," Papers 2011.01052, arXiv.org.

Articles

  1. J. Doyne Farmer & John Geanakoplos & Matteo G. Richiardi & Miquel Montero & Josep Perelló & Jaume Masoliver, 2024. "Discounting the Distant Future: What Do Historical Bond Prices Imply about the Long-Term Discount Rate?," Mathematics, MDPI, vol. 12(5), pages 1-25, February.
    See citations under working paper version above.
  2. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    See citations under working paper version above.
  3. Mungo, Luca & Lafond, François & Astudillo-Estévez, Pablo & Farmer, J. Doyne, 2023. "Reconstructing production networks using machine learning," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
    See citations under working paper version above.
  4. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    See citations under working paper version above.
  5. Anton Pichler & J. Doyne Farmer, 2022. "Simultaneous supply and demand constraints in input–output networks: the case of Covid-19 in Germany, Italy, and Spain," Economic Systems Research, Taylor & Francis Journals, vol. 34(3), pages 273-293, July.
    See citations under working paper version above.
  6. Lafond, François & Greenwald, Diana & Farmer, J. Doyne, 2022. "Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment," The Journal of Economic History, Cambridge University Press, vol. 82(3), pages 727-764, September.
    See citations under working paper version above.
  7. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

    Cited by:

    1. Temel, Tugrul & Phumpiu, Paul, 2023. "Policy Design from a Network Perspective: Targeting a Sector, Cascade of Links, Network Resilience," MPRA Paper 118466, University Library of Munich, Germany.
    2. Marco Pangallo & Alberto Aleta & R. Maria del Rio-Chanona & Anton Pichler & David Martín-Corral & Matteo Chinazzi & François Lafond & Marco Ajelli & Esteban Moro & Yamir Moreno & Alessandro Vespignani, 2024. "The unequal effects of the health–economy trade-off during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 8(2), pages 264-275, February.
    3. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    4. Hardik Rajpal & Omar A Guerrero, 2023. "Synergistic Small Worlds that Drive Technological Sophistication," Papers 2301.04579, arXiv.org, revised Jul 2023.
    5. Tijs W. Alleman & Jan M. Baetens, 2024. "Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic," Papers 2401.08442, arXiv.org.
    6. Temel, Tugrul & Phumpiu, Paul, 2023. "Policy Design from a Network Perspective: Targeting a Sector, Cascade of Links, Network Resilience," MPRA Paper 118389, University Library of Munich, Germany.

  8. Pangallo, Marco & Sanders, James B.T. & Galla, Tobias & Farmer, J. Doyne, 2022. "Towards a taxonomy of learning dynamics in 2 × 2 games," Games and Economic Behavior, Elsevier, vol. 132(C), pages 1-21.
    See citations under working paper version above.
  9. Yuki M. Asano & Jakob J. Kolb & Jobst Heitzig & J. Doyne Farmer, 2021. "Emergent inequality and business cycles in a simple behavioral macroeconomic model," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(27), pages 2025721118-, July.

    Cited by:

    1. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    2. Alexeeva, Tatyana A. & Kuznetsov, Nikolay V. & Mokaev, Timur N., 2021. "Study of irregular dynamics in an economic model: attractor localization and Lyapunov exponents," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).

  10. James McNerney & Charles Savoie & Francesco Caravelli & Vasco M. Carvalho & J. Doyne Farmer, 2021. "How production networks amplify economic growth," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(1), pages 2106031118-, 00.
    See citations under working paper version above.
  11. Lumsdaine, R.L. & Rockmore, D.N. & Foti, N.J. & Leibon, G. & Farmer, J.D., 2021. "The intrafirm complexity of systemically important financial institutions," Journal of Financial Stability, Elsevier, vol. 52(C).
    See citations under working paper version above.
  12. Maarten P. Scholl & Anisoara Calinescu & J. Doyne Farmer, 2021. "How market ecology explains market malfunction," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015574118-, June.
    See citations under working paper version above.
  13. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    See citations under working paper version above.
  14. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    See citations under working paper version above.
  15. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    See citations under working paper version above.
  16. Aymanns, Christoph & Caccioli, Fabio & Farmer, J. Doyne & Tan, Vincent W.C., 2016. "Taming the Basel leverage cycle," Journal of Financial Stability, Elsevier, vol. 27(C), pages 263-277.
    See citations under working paper version above.
  17. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    See citations under working paper version above.
  18. 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.

    Cited by:

    1. Frino, Alex & Mollica, Vito & Webb, Robert I. & Zhang, Shunquan, 2017. "The impact of latency sensitive trading on high frequency arbitrage opportunities," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 91-102.
    2. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
    3. Vygintas Gontis, 2021. "Order flow in the financial markets from the perspective of the Fractional L\'evy stable motion," Papers 2105.02057, arXiv.org, revised Nov 2021.
    4. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    5. Fabrizio Lillo, 2021. "Order flow and price formation," Papers 2105.00521, arXiv.org.
    6. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    7. Emmanuel Bacry & Iacopo Mastromatteo & Jean-Franc{c}ois Muzy, 2015. "Hawkes processes in finance," Papers 1502.04592, arXiv.org, revised May 2015.
    8. Kyle Bechler & Michael Ludkovski, 2017. "Order Flows and Limit Order Book Resiliency on the Meso-Scale," Papers 1708.02715, arXiv.org.
    9. Ioanna-Yvonni Tsaknaki & Fabrizio Lillo & Piero Mazzarisi, 2023. "Online Learning of Order Flow and Market Impact with Bayesian Change-Point Detection Methods," Papers 2307.02375, arXiv.org.
    10. Ivan Jericevich & Patrick Chang & Tim Gebbie, 2020. "Comparing the market microstructure between two South African exchanges," Papers 2011.04367, arXiv.org.
    11. Patrick Chang & Etienne Pienaar & Tim Gebbie, 2020. "The Epps effect under alternative sampling schemes," Papers 2011.11281, arXiv.org, revised Aug 2021.
    12. Vygintas Gontis, 2023. "Discrete $q$-exponential limit order cancellation time distribution," Papers 2306.00093, arXiv.org, revised Oct 2023.
    13. Kevin Primicerio & Damien Challet, 2019. "Large large-trader activity weakens the long memory of limit order markets," Post-Print hal-02021772, HAL.
    14. Damian Eduardo Taranto & Giacomo Bormetti & Jean-Philippe Bouchaud & Fabrizio Lillo & Bence Toth, 2016. "Linear models for the impact of order flow on prices I. Propagators: Transient vs. History Dependent Impact," Papers 1602.02735, arXiv.org.
    15. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    16. Ymir Makinen & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2018. "Forecasting of Jump Arrivals in Stock Prices: New Attention-based Network Architecture using Limit Order Book Data," Papers 1810.10845, arXiv.org.
    17. 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.
    18. Aurélien Alfonsi & Pierre Blanc, 2016. "Dynamic optimal execution in a mixed-market-impact Hawkes price model," Finance and Stochastics, Springer, vol. 20(1), pages 183-218, January.
    19. Michele Vodret & Iacopo Mastromatteo & Bence Tóth & Michael Benzaquen, 2021. "A Stationary Kyle Setup: Microfounding propagator models," Post-Print hal-03016486, HAL.
    20. Julius Bonart & Fabrizio Lillo, 2016. "A continuous and efficient fundamental price on the discrete order book grid," Papers 1608.00756, arXiv.org, revised Aug 2016.
    21. Lien, Donald & Hung, Pi-Hsia & Lo, Hsiang-Yu, 2022. "Order Choices: An Intraday Analysis of the Taiwan Stock Exchange," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    22. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "The Long Memory of Order Flow in the Foreign Exchange Spot Market," Papers 1504.04354, arXiv.org, revised Oct 2015.
    23. Aurélien Alfonsi & Pierre Blanc, 2016. "Dynamic optimal execution in a mixed-market-impact Hawkes price model," Finance and Stochastics, Springer, vol. 20(1), pages 183-218, January.
    24. Bonart, Julius & Lillo, Fabrizio, 2018. "A continuous and efficient fundamental price on the discrete order book grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 698-713.
    25. Bence Toth & Zoltan Eisler & Jean-Philippe Bouchaud, 2017. "The short-term price impact of trades is universal," Papers 1702.08029, arXiv.org, revised Jan 2018.
    26. Michele Vodret & Iacopo Mastromatteo & Bence T'oth & Michael Benzaquen, 2020. "A Stationary Kyle Setup: Microfounding propagator models," Papers 2011.10242, arXiv.org, revised Feb 2021.
    27. Henao-Londono, Juan C. & Guhr, Thomas, 2022. "Foreign exchange markets: Price response and spread impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    28. F. Campigli & G. Bormetti & F. Lillo, 2022. "Measuring price impact and information content of trades in a time-varying setting," Papers 2212.12687, arXiv.org, revised Dec 2023.
    29. Rytis Kazakevicius & Aleksejus Kononovicius & Bronislovas Kaulakys & Vygintas Gontis, 2021. "Understanding the nature of the long-range memory phenomenon in socioeconomic systems," Papers 2108.02506, arXiv.org, revised Aug 2021.
    30. Marcel Nutz & Kevin Webster & Long Zhao, 2023. "Unwinding Stochastic Order Flow: When to Warehouse Trades," Papers 2310.14144, arXiv.org.
    31. Joshin Murai, 2016. "A model of transaction signs with order splitting and public information," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 469-480, December.
    32. Ymir Mäkinen & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019. "Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data," Quantitative Finance, Taylor & Francis Journals, vol. 19(12), pages 2033-2050, December.
    33. Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020. "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    34. Damian Eduardo Taranto & Giacomo Bormetti & Jean-Philippe Bouchaud & Fabrizio Lillo & Bence Toth, 2016. "Linear models for the impact of order flow on prices II. The Mixture Transition Distribution model," Papers 1604.07556, arXiv.org.
    35. Aleksandra Alorić & Peter Sollich & Peter McBurney & Tobias Galla, 2016. "Emergence of Cooperative Long-Term Market Loyalty in Double Auction Markets," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-26, April.
    36. Chang, Patrick & Pienaar, Etienne & Gebbie, Tim, 2021. "The Epps effect under alternative sampling schemes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    37. Yuki Sato & Kiyoshi Kanazawa, 2023. "Exact solution to a generalised Lillo-Mike-Farmer model with heterogeneous order-splitting strategies," Papers 2306.13378, arXiv.org, revised Nov 2023.

  19. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.

    Cited by:

    1. Santos, João & Borges, Afonso S. & Domingos, Tiago, 2021. "Exploring the links between total factor productivity and energy efficiency: Portugal, 1960–2014," Energy Economics, Elsevier, vol. 101(C).
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    4. Chan, Ying Tung, 2020. "Optimal emissions tax rates under habit formation and social comparisons," Energy Policy, Elsevier, vol. 146(C).
    5. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
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    34. Michel Baes & Eric Schaanning, 2023. "Reverse stress testing: Scenario design for macroprudential stress tests," Mathematical Finance, Wiley Blackwell, vol. 33(2), pages 209-256, April.
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    36. Peralta, Gustavo & Crisóstomo, Ricardo, 2016. "Financial contagion with spillover effects: a multiplex network approach," ESRB Working Paper Series 32, European Systemic Risk Board.
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    44. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.
    45. Christian Diem & Anton Pichler & Stefan Thurner, 2019. "What is the Minimal Systemic Risk in Financial Exposure Networks?," Papers 1905.05931, arXiv.org.
    46. Shuwen Gong & Huiwen Zou, 2023. "Simulation of interactive contagion between depositors' panic and banking risk," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 392-404, January.
    47. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2017. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(1), pages 78-129, December.
    48. Shanshan Jiang & Jie Wang & Ruiting Dong & Yutong Li & Min Xia, 2023. "Systemic Risk with Multi-Channel Risk Contagion in the Interbank Market," Sustainability, MDPI, vol. 15(3), pages 1-24, February.
    49. Calimani, Susanna & Hałaj, Grzegorz & Żochowski, Dawid, 2017. "Simulating fire-sales in a banking and shadow banking system," ESRB Working Paper Series 46, European Systemic Risk Board.
    50. 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.
    51. Sullivan HUE & Yannick LUCOTTE & Sessi TOKPAVI, 2018. "Measuring Network Systemic Risk Contributions: A Leave-one-out Approach," LEO Working Papers / DR LEO 2608, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    52. Hüser, Anne-Caroline, 2016. "Too interconnected to fail: A survey of the Interbank Networks literature," SAFE Working Paper Series 91, Leibniz Institute for Financial Research SAFE, revised 2016.
    53. Caccioli, Fabio & Ferrara, Gerardo & Ramadiah, Amanah, 2020. "Modelling fire sale contagion across banks and non-banks," Bank of England working papers 878, Bank of England, revised 18 Feb 2021.
    54. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    55. James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
    56. Mario Eboli & Bulent Ozel & Andrea Teglio & Andrea Toto, 2023. "Connectivity, centralisation and ‘robustness-yet-fragility’ of interbank networks," Annals of Finance, Springer, vol. 19(2), pages 169-200, June.
    57. Su, Zhi & Xu, Fuwei, 2021. "Dynamic identification of systemically important financial markets in the spread of contagion: A ripple network based collective spillover effect approach," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    58. Fuwei Xu, 2024. "Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 47-73, January.
    59. 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).
    60. Eyal Neuman & Moritz Voß, 2023. "Trading with the crowd," Mathematical Finance, Wiley Blackwell, vol. 33(3), pages 548-617, July.
    61. Eyal Neuman & Moritz Vo{ss}, 2021. "Trading with the Crowd," Papers 2106.09267, arXiv.org, revised Mar 2023.
    62. Chen, Ruoyu & Iqbal, Najaf & Irfan, Muhammad & Shahzad, Farrukh & Fareed, Zeeshan, 2022. "Does financial stress wreak havoc on banking, insurance, oil, and gold markets? New empirics from the extended joint connectedness of TVP-VAR model," Resources Policy, Elsevier, vol. 77(C).
    63. Lin, Li & Guo, Xin-Yu, 2019. "Identifying fragility for the stock market: Perspective from the portfolio overlaps network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 132-151.
    64. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Interdependence and portfolio optimisation of bank equity returns from developed and emerging Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 678-696, January.
    65. Martin Keller-Ressel & Stephanie Nargang, 2020. "The hyperbolic geometry of financial networks," Papers 2005.00399, arXiv.org, revised May 2020.
    66. 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.
    67. 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.
    68. 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.
    69. Gkillas, Konstantinos & Konstantatos, Christoforos & Floros, Christos & Tsagkanos, Athanasios, 2021. "Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis," International Review of Financial Analysis, Elsevier, vol. 74(C).
    70. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    71. Ma, Jing & He, Jianmin & Liu, Xiaoxing & Wang, Chao, 2019. "Diversification and systemic risk in the banking system," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 413-421.
    72. 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.
    73. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    74. Alessandro Micheli & Eyal Neuman, 2020. "Evidence of Crowding on Russell 3000 Reconstitution Events," Papers 2006.07456, arXiv.org, revised Sep 2022.
    75. Everett Grant & Julieta Yung, 2021. "The double‐edged sword of global integration: Robustness, fragility, and contagion in the international firm network," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 760-783, September.
    76. Huang, Wei-Qiang & Wang, Dan, 2018. "Systemic importance analysis of chinese financial institutions based on volatility spillover network," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 19-30.

  23. Cameron Hepburn & Eric Beinhocker & J. Doyne Farmer & Alexander Teytelboym, 2014. "Resilient and Inclusive Prosperity within Planetary Boundaries," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(5), pages 76-92, September.

    Cited by:

    1. Franz Tödtling & Michaela Trippl & Alexandra Frangenheim, 2019. "Policy options for green regional development: applying a production and application perspective," PEGIS geo-disc-2019_16, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
    2. Cristini, Hélène & Kauppinen-Räisänen, Hannele & Barthod-Prothade, Mireille & Woodside, Arch, 2017. "Toward a general theory of luxury: Advancing from workbench definitions and theoretical transformations," Journal of Business Research, Elsevier, vol. 70(C), pages 101-107.
    3. Capasso, Marco & Hansen, Teis & Heiberg, Jonas & Klitkou, Antje & Steen, Markus, 2019. "Green growth – A synthesis of scientific findings," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 390-402.

  24. Poledna, Sebastian & Thurner, Stefan & Farmer, J. Doyne & Geanakoplos, John, 2014. "Leverage-induced systemic risk under Basle II and other credit risk policies," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 199-212.
    See citations under working paper version above.
  25. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    See citations under working paper version above.
  26. Béla Nagy & J Doyne Farmer & Quan M Bui & Jessika E Trancik, 2013. "Statistical Basis for Predicting Technological Progress," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    See citations under working paper version above.
  27. J. Doyne Farmer & Spyros Skouras, 2013. "An ecological perspective on the future of computer trading," Quantitative Finance, Taylor & Francis Journals, vol. 13(3), pages 325-346, February.

    Cited by:

    1. Sandrine Jacob Leal & Mauro Napoletano, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," SciencePo Working papers Main hal-03403589, HAL.
    2. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
    3. Gianluca Piero Maria Virgilio, 2019. "High-frequency trading: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 183-208, June.
    4. Maarten P. Scholl & Anisoara Calinescu & J. Doyne Farmer, 2021. "How market ecology explains market malfunction," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015574118-, June.
    5. Van Vliet, Ben, 2017. "Capability satisficing in high frequency trading," Research in International Business and Finance, Elsevier, vol. 42(C), pages 509-521.
    6. Takumi Sueshige & Didier Sornette & Hideki Takayasu & Misako Takayasu, 2019. "Classification of position management strategies at the order-book level and their influences on future market-price formation," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-19, August.
    7. Takumi Sueshige & Kiyoshi Kanazawa & Hideki Takayasu & Misako Takayasu, 2018. "Ecology of trading strategies in a forex market for limit and market orders," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-14, December.
    8. Dinh, Minh Thi Hong, 2017. "The returns, risk and liquidity relationship in high frequency trading: Evidence from the Oslo stock market," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 30-40.

  28. J. Doyne Farmer, 2013. "Hypotheses non fingo: Problems with the scientific method in economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 20(4), pages 377-385, December.

    Cited by:

    1. Gräbner, Claudius, 2016. "From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics," MPRA Paper 71933, University Library of Munich, Germany.
    2. Cimoli, Mario & Porcile, Gabriel, 2017. "Micro-macro interactions, growth and income distribution revisited," Desarrollo Productivo 41854, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

  29. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2013. "How efficiency shapes market impact," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1743-1758, November.
    See citations under working paper version above.
  30. Fabio Caccioli & Thomas A. Catanach & J. Doyne Farmer, 2012. "Heterogeneity, Correlations And Financial Contagion," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-15.
    See citations under working paper version above.
  31. Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2012. "Leverage causes fat tails and clustered volatility," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 695-707, February.
    See citations under working paper version above.
  32. John Geanakoplos & Robert Axtell & J. Doyne Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review, American Economic Association, vol. 102(3), pages 53-58, May.
    See citations under working paper version above.
  33. B. Tóth & Z. Eisler & F. Lillo & J. Kockelkoren & J.-P. Bouchaud & J.D. Farmer, 2012. "How does the market react to your order flow?," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1015-1024, May.
    See citations under working paper version above.
  34. McNerney, James & Doyne Farmer, J. & Trancik, Jessika E., 2011. "Historical costs of coal-fired electricity and implications for the future," Energy Policy, Elsevier, vol. 39(6), pages 3042-3054, June.

    Cited by:

    1. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.
    2. Matteson, Schuyler & Williams, Eric, 2015. "Residual learning rates in lead-acid batteries: Effects on emerging technologies," Energy Policy, Elsevier, vol. 85(C), pages 71-79.
    3. Dumas, Marion & Rising, James & Urpelainen, Johannes, 2016. "Political competition and renewable energy transitions over long time horizons: A dynamic approach," Ecological Economics, Elsevier, vol. 124(C), pages 175-184.
    4. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    5. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
    6. Wilson, Charlie, 2012. "Up-scaling, formative phases, and learning in the historical diffusion of energy technologies," Energy Policy, Elsevier, vol. 50(C), pages 81-94.
    7. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
    8. Muratori, Matteo & Ledna, Catherine & McJeon, Haewon & Kyle, Page & Patel, Pralit & Kim, Son H. & Wise, Marshall & Kheshgi, Haroon S. & Clarke, Leon E. & Edmonds, Jae, 2017. "Cost of power or power of cost: A U.S. modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 861-874.
    9. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
    10. Boccard, Nicolas, 2014. "The cost of nuclear electricity: France after Fukushima," Energy Policy, Elsevier, vol. 66(C), pages 450-461.
    11. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    12. Lovering, Jessica R. & Yip, Arthur & Nordhaus, Ted, 2016. "Historical construction costs of global nuclear power reactors," Energy Policy, Elsevier, vol. 91(C), pages 371-382.
    13. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
    14. Khan, Khalid & Su, Chi-Wei & Rehman, Ashfaq U., 2021. "Do multiple bubbles exist in coal price?," Resources Policy, Elsevier, vol. 73(C).
    15. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.
    16. Verdolini, Elena & Anadon, Laura Diaz & Lu, Jiaqi & Nemet, Gregory F., 2015. "The effects of expert selection, elicitation design, and R&D assumptions on experts' estimates of the future costs of photovoltaics," Energy Policy, Elsevier, vol. 80(C), pages 233-243.
    17. Barry Ball & Bertram Ehmann & John Foster & Craig Froome & Ove Hoegh-Guldberg & Paul Meredith & Lynette Molyneaux & Tapan Saha & Liam Wagner, 2011. "Delivering a Competitive Australian Power System. Part 1: Australia’s Global Position," Energy Economics and Management Group Working Papers 13, School of Economics, University of Queensland, Australia.
    18. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
    20. Farmer, J. Doyne & Hepburn, Cameron & Beinhocker, Eric, 2018. "The Tipping Point: How the G20 Can Lead the Transition to a Prosperous Clean Energy Economy," INET Oxford Working Papers 2018-09, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    21. Kavlak, Goksin & McNerney, James & Trancik, Jessika E., 2018. "Evaluating the causes of cost reduction in photovoltaic modules," Energy Policy, Elsevier, vol. 123(C), pages 700-710.
    22. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    23. Ansell, Thomas & Cayzer, Steve, 2018. "Limits to growth redux: A system dynamics model for assessing energy and climate change constraints to global growth," Energy Policy, Elsevier, vol. 120(C), pages 514-525.
    24. Abdul Ghani Olabi & Tabbi Wilberforce & Khaled Elsaid & Enas Taha Sayed & Tareq Salameh & Mohammad Ali Abdelkareem & Ahmad Baroutaji, 2021. "A Review on Failure Modes of Wind Turbine Components," Energies, MDPI, vol. 14(17), pages 1-44, August.
    25. Rolf Golombek & Kjell Arne Brekke & Michal Kaut & Sverre A.C. Kittelsen & Stein W. Wallace, 2016. "Stochastic equilibrium modeling: The Impact of Uncertainty on the European Energy Market," EcoMod2016 9201, EcoMod.
    26. Severnini, Edson R., 2014. "The Power of Hydroelectric Dams: Agglomeration Spillovers," IZA Discussion Papers 8082, Institute of Labor Economics (IZA).
    27. Webb, Jeremy & de Silva, H. Nadeeka & Wilson, Clevo, 2020. "The future of coal and renewable power generation in Australia: A review of market trends," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 363-378.
    28. Magee, Christopher L. & Devezas, Tessaleno C., 2017. "A simple extension of dematerialization theory: Incorporation of technical progress and the rebound effect," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 196-205.
    29. Bela Nagy & J. Doyne Farmer & Quan M. Bui & Jessika E. Trancik, 2012. "Statistical Basis for Predicting Technological Progress," Papers 1207.1463, arXiv.org.
    30. Bolinger, Mark & Wiser, Ryan, 2012. "Understanding wind turbine price trends in the U.S. over the past decade," Energy Policy, Elsevier, vol. 42(C), pages 628-641.
    31. Luís M A Bettencourt & Jessika E Trancik & Jasleen Kaur, 2013. "Determinants of the Pace of Global Innovation in Energy Technologies," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-6, October.
    32. Peter A. Lang, 2017. "Nuclear Power Learning and Deployment Rates; Disruption and Global Benefits Forgone," Energies, MDPI, vol. 10(12), pages 1-21, December.
    33. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.

  35. B. Tóth & F. Lillo & J. D. Farmer, 2010. "Segmentation algorithm for non-stationary compound Poisson processes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 78(2), pages 235-243, November.
    See citations under working paper version above.
  36. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.

    Cited by:

    1. Andrew Hoegh & Frank T. Manen & Mark Haroldson, 2021. "Agent-Based Models for Collective Animal Movement: Proximity-Induced State Switching," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(4), pages 560-579, December.
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Gianluca Pallante & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Robust-less-fragile: Tackling Systemic Risk and Financial Contagion in a Macro Agent-Based Model," GREDEG Working Papers 2024-10, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Brouillat, Eric & Saint Jean, Maïder, 2020. "Mind the gap: Investigating the impact of implementation gaps on cleaner technology transition," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    5. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    6. Takanobu Mizuta, 2022. "Do new investment strategies take existing strategies' returns -- An investigation into agent-based models," Papers 2202.01423, arXiv.org.
    7. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    8. Yue Chen & Xiaojian Niu & Yan Zhang, 2019. "Exploring Contrarian Degree in the Trading Behavior of China's Stock Market," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    9. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    10. Madureira, António & den Hartog, Frank & Bouwman, Harry & Baken, Nico, 2013. "Empirical validation of Metcalfe’s law: How Internet usage patterns have changed over time," Information Economics and Policy, Elsevier, vol. 25(4), pages 246-256.
    11. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    12. Alessandro Basurto & Herbert Dawid & Philipp Harting & Jasper Hepp & Dirk Kohlweyer, 2023. "How to design virus containment policies? A joint analysis of economic and epidemic dynamics under the COVID-19 pandemic," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 311-370, April.
    13. Sarah Wolf & Steffen Fürst & Antoine Mandel & Wiebke Lass & Daniel Lincke & Federico Pablo-Marti & Carlo Jaeger, 2013. "A multi-agent model of several economic regions," PSE-Ecole d'économie de Paris (Postprint) halshs-00825217, HAL.
    14. Conor B. Hamill & Raad Khraishi & Simona Gherghel & Jerrard Lawrence & Salvatore Mercuri & Ramin Okhrati & Greig A. Cowan, 2023. "Agent-based Modelling of Credit Card Promotions," Papers 2311.01901, arXiv.org, revised Nov 2023.
    15. Cong, Rong-Gang & Smith, Henrik G. & Olsson, Ola & Brady, Mark, 2014. "Managing ecosystem services for agriculture: Will landscape-scale management pay?," Ecological Economics, Elsevier, vol. 99(C), pages 53-62.
    16. Leila Niamir & Gregor Kiesewetter & Fabian Wagner & Wolfgang Schöpp & Tatiana Filatova & Alexey Voinov & Hans Bressers, 2020. "Assessing the macroeconomic impacts of individual behavioral changes on carbon emissions," Climatic Change, Springer, vol. 158(2), pages 141-160, January.
    17. T. T. Chen & B. Zheng & Y. Li & X. F. Jiang, 2017. "New approaches in agent-based modeling of complex financial systems," Papers 1703.06840, arXiv.org.
    18. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    19. Bhagwat, Pradyumna C. & Iychettira, Kaveri K. & Richstein, Jörn C. & Chappin, Emile J.L. & De Vries, Laurens J., 2017. "The effectiveness of capacity markets in the presence of a high portfolio share of renewable energy sources," Utilities Policy, Elsevier, vol. 48(C), pages 76-91.
    20. Fraser J. Morgan & Philip Brown & Adam J. Daigneault, 2015. "Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour," Land, MDPI, vol. 4(4), pages 1-24, September.
    21. Tamás Sebestyén & Balázs Szabó, 2022. "Market interaction structure and equilibrium price heterogeneity in monopolistic competition," Netnomics, Springer, vol. 22(2), pages 259-282, October.
    22. Andrea Coletta & Aymeric Moulin & Svitlana Vyetrenko & Tucker Balch, 2022. "Learning to simulate realistic limit order book markets from data as a World Agent," Papers 2210.09897, arXiv.org.
    23. Chu, Zhuang & Yang, Biao & Ha, Chang Yong & Ahn, Kwangwon, 2018. "Modeling GDP fluctuations with agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 572-581.
    24. Y'erali Gandica & Marco Valerio Geraci & Sophie B'ereau & Jean-Yves Gnabo, 2017. "Fragmentation, integration and macroprudential surveillance of the US financial industry: Insights from network science," Papers 1707.00296, arXiv.org, revised Jan 2018.
    25. He, Zhou & Cheng, T.C.E. & Dong, Jichang & Wang, Shouyang, 2016. "Evolutionary location and pricing strategies for service merchants in competitive O2O markets," European Journal of Operational Research, Elsevier, vol. 254(2), pages 595-609.
    26. Tamás Sebestyén & Zita Iloskics, 2020. "Do economic shocks spread randomly?: A topological study of the global contagion network," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
    27. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
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    29. Fenintsoa Andriamasinoro & Raphael Danino-Perraud, 2021. "Use of artificial intelligence to assess mineral substance criticality in the French market: the example of cobalt," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(1), pages 19-37, April.
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    283. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    284. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.
    285. Sun, Ye & Chen, Yu, 2018. "On the mechanism of phase transitions in a minimal agent-based macroeconomic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 613-624.
    286. Stern, Nicholas & Valero, Anna, 2021. "Innovation, growth and the transition to net-zero emissions," Research Policy, Elsevier, vol. 50(9).
    287. Simoyama, Felipe de Oliveira & Sarti, Flávia Mori & Battisti, Mario Cesar Guimarães, 2022. "Effects of disclosing inspection scores of health facilities," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    288. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    289. Moya, Diego & Budinis, Sara & Giarola, Sara & Hawkes, Adam, 2020. "Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector," Applied Energy, Elsevier, vol. 274(C).
    290. Masanori Hirano & Hiroki Sakaji & Kiyoshi Izumi, 2022. "Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets," Papers 2204.13338, arXiv.org.
    291. Forrest Jeffrey Yi-Lin & Gong Zaiwu & Köse Erkan & Galbraith Diane D. & Arık Oğuzhan A., 2021. "An Economy’s Emergent Properties and How Micro Agents with Inconsistent or Conflicting Interests Are Holistically Organized into Macro Entities," Naše gospodarstvo/Our economy, Sciendo, vol. 67(3), pages 53-66, September.
    292. Bhagwat, Pradyumna C. & Iychettira, Kaveri K. & Richstein, Jörn C. & Chappin, Emile J.L. & Vries, Laurens J. De, 2017. "The effectiveness of capacity markets in the presence of a high portfolio share of renewable energy sources," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48, pages 76-91.
    293. George Xianzhi Yuan & Huiqi Wang, 2019. "The general dynamic risk assessment for the enterprise by the hologram approach in financial technology," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-48, March.
    294. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    295. Simon Angus & Behrooz Hassani-Mahmooei, 2015. ""Anarchy" Reigns: A Quantitative Analysis of Agent-Based Modelling Publication Practices in JASSS, 2001-2012," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-16.
    296. Grinis, Inna, 2015. "Credit risk spillovers, systemic importance and vulnerability in financial networks," LSE Research Online Documents on Economics 60954, London School of Economics and Political Science, LSE Library.
    297. Georg Holtz & Christian Schnülle & Malcolm Yadack & Jonas Friege & Thorben Jensen & Pablo Thier & Peter Viebahn & Émile J. L. Chappin, 2020. "Using Agent-Based Models to Generate Transformation Knowledge for the German Energiewende—Potentials and Challenges Derived from Four Case Studies," Energies, MDPI, vol. 13(22), pages 1-26, November.
    298. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    299. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    300. Chen, Ting-Ting & Zheng, Bo & Li, Yan & Jiang, Xiong-Fei, 2018. "Information driving force and its application in agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 593-601.
    301. A. Madureira & F. Hartog & N. Baken, 2016. "A holonic framework to understand and apply information processes in evolutionary economics: survey and proposal," Netnomics, Springer, vol. 17(2), pages 157-190, September.
    302. Mário Amorim-Lopes & Álvaro Almeida & Bernardo Almada-Lobo, 2019. "Physician Emigration: Should they Stay or Should they Go? A Policy Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 905-931, October.
    303. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.
    304. Sedar Olmez & Akhil Ahmed & Keith Kam & Zhe Feng & Alan Tua, 2024. "Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: A Lloyd's of London Case Study," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 27(2), pages 1-7.
    305. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "Regulation at the source? Comparing upstream and downstream climate policies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    306. Polyzos, Stathis & Samitas, Aristeidis & Kampouris, Ilias, 2021. "Economic stimulus through bank regulation: Government responses to the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    307. Cooper, Rachel & Jarre, Astrid, 2017. "An Agent-based Model of the South African Offshore Hake Trawl Industry: Part I Model Description and Validation," Ecological Economics, Elsevier, vol. 142(C), pages 268-281.
    308. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2019. "Robust Mathematical Formulation and Probabilistic Description of Agent-Based Computational Economic Market Models," Papers 1904.04951, arXiv.org, revised Mar 2021.
    309. He, Zhou & Han, Guanghua & Cheng, T.C.E. & Fan, Bo & Dong, Jichang, 2019. "Evolutionary food quality and location strategies for restaurants in competitive online-to-offline food ordering and delivery markets: An agent-based approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 61-72.
    310. Kshama Dwarakanath & Svitlana Vyetrenko & Peyman Tavallali & Tucker Balch, 2024. "ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents," Papers 2402.09563, arXiv.org.
    311. Jonathan F. Cogliano & Roberto Veneziani, 2023. "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers 977, Queen Mary University of London, School of Economics and Finance.
    312. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
    313. Duncan Foley, 2017. "Crisis and theoretical methods: equilibrium and disequilibrium once again," Working Papers 1703, New School for Social Research, Department of Economics.
    314. Stern, Nicholas & Sivropoulos-Valero, Anna Valero, 2021. "Innovation, growth and the transition to net-zero emissions," LSE Research Online Documents on Economics 114385, London School of Economics and Political Science, LSE Library.
    315. Fraser J Morgan & Adam J Daigneault, 2015. "Estimating Impacts of Climate Change Policy on Land Use: An Agent-Based Modelling Approach," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-20, May.
    316. Julen Gonzalez-Redin & Iain J. Gordon & J. Gareth Polhill & Terence P. Dawson & Rosemary Hill, 2024. "Navigating Sustainability: Revealing Hidden Forces in Social–Ecological Systems," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
    317. Bouchaud, Jean-Philippe & Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco, 2018. "Optimal inflation target: Insights from an agent-based model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-27.
    318. Armendàriz, Vanessa & Armenia, Stefano & Atzori, Alberto Stanislao & Romano, Angelo, 2015. "Analyzing Food Supply and Distribution Systems using complex systems methodologies," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206211, International European Forum on System Dynamics and Innovation in Food Networks.
    319. Callum Rhys Tilbury, 2022. "Reinforcement Learning for Economic Policy: A New Frontier?," Papers 2206.08781, arXiv.org, revised Feb 2023.
    320. Mário Amorim Lopes & Álvaro Almeida & Bernardo Almada-Lobo, 2017. "Physician emigration: should they stay or should they go? A policy analysis," FEP Working Papers 585, Universidade do Porto, Faculdade de Economia do Porto.
    321. Benjamin Patrick Evans & Mikhail Prokopenko, 2022. "Bounded strategic reasoning explains crisis emergence in multi-agent market games," Papers 2206.05568, arXiv.org.
    322. Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016. "Going beyond perfect rationality: drought risk, economic choices and the influence of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.

  37. B. Tóth & J. Kertész & J. D. Farmer, 2009. "Studies of the limit order book around large price changes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 499-510, October.
    See citations under working paper version above.
  38. Cherkashin, Dmitriy & Farmer, J. Doyne & Lloyd, Seth, 2009. "The reality game," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1091-1105, May.
    • Dmitriy Cherkashin & J. Doyne Farmer & Seth Lloyd, 2009. "The Reality Game," Papers 0902.0100, arXiv.org, revised Feb 2009.
    See citations under working paper version above.
  39. Farmer, J. Doyne & Lux, Thomas, 2008. "Introduction to special issue on `Applications of Statistical Physics in Economics and Finance'," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 1-6, January.

    Cited by:

    1. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    2. Ausloos, Marcel & Jovanovic, Franck & Schinckus, Christophe, 2016. "On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 7-14.
    3. Schinckus, Christophe, 2018. "Ising model, econophysics and analogies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 95-103.
    4. Vladik Kreinovich & Monchaya Chiangpradit & Wararit Panichkitkosolkul, 2012. "Efficient algorithms for heavy-tail analysis under interval uncertainty," Annals of Operations Research, Springer, vol. 195(1), pages 73-96, May.
    5. Gregor Semieniuk & Ellis Scharfenaker, 2014. "A Bayesian Latent Variable Mixture Model for Filtering Firm Profit Rate," SCEPA working paper series. 2014-1, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    7. Shu-Heng Chen & Sai-Ping Li, 2011. "Econophysics: Bridges over a Turbulent Current," Papers 1107.5373, arXiv.org.
    8. Sandro Claudio Lera & Didier Sornette, 2015. "Currency target zone modeling: An interplay between physics and economics," Papers 1508.04754, arXiv.org, revised Oct 2015.

  40. G. Spada & J. Farmer & F. Lillo, 2008. "The non-random walk of stock prices: the long-term correlation between signs and sizes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 64(3), pages 607-614, August.
    See citations under working paper version above.
  41. Mike, Szabolcs & Farmer, J. Doyne, 2008. "An empirical behavioral model of liquidity and volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 200-234, January.
    See citations under working paper version above.
  42. J. Doyne Farmer & N. Zamani, 2007. "Mechanical vs. informational components of price impact," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 55(2), pages 189-200, January.
    See citations under working paper version above.
  43. Laszlo Gillemot & J. Doyne Farmer & Fabrizio Lillo, 2006. "There's more to volatility than volume," Quantitative Finance, Taylor & Francis Journals, vol. 6(5), pages 371-384.
    See citations under working paper version above.
  44. J. Doyne Farmer, 2006. "Comment on 'Large stock price changes: volume or liquidity?', by Weber and Rosenow," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 1-3.

    Cited by:

    1. Marco Bartolozzi, 2010. "A Multi Agent Model for the Limit Order Book Dynamics," Papers 1005.0182, arXiv.org, revised Oct 2010.

  45. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Szabolcs Mike, 2006. "Market efficiency and the long-memory of supply and demand: is price impact variable and permanent or fixed and temporary?," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 107-112.
    See citations under working paper version above.
  46. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    See citations under working paper version above.
  47. Lillo Fabrizio & Farmer J. Doyne, 2004. "The Long Memory of the Efficient Market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-35, September.
    See citations under working paper version above.
  48. Fabrizio Lillo & J. Doyne Farmer & Rosario N. Mantegna, 2003. "Master curve for price-impact function," Nature, Nature, vol. 421(6919), pages 129-130, January.

    Cited by:

    1. Lautier, Delphine & Raynaud, Franck, 2011. "Statistical properties of derivatives: A journey in term structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2009-2019.
    2. Adam Ponzi & Fabrizio Lillo & Rosario N. Mantegna, 2006. "Market reaction to temporary liquidity crises and the permanent market impact," Papers physics/0608032, arXiv.org.
    3. Ludovic Moreau & Johannes Muhle-Karbe & H. Mete Soner, 2014. "Trading with Small Price Impact," Papers 1402.5304, arXiv.org, revised Mar 2015.
    4. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    5. Gianbiagio Curato & Jim Gatheral & Fabrizio Lillo, 2014. "Optimal execution with nonlinear transient market impact," Papers 1412.4839, arXiv.org.
    6. Taisei Kaizoji, 2013. "Modelling of Stock Returns and Trading Volume," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 147-155, July.
    7. David, S.A. & Inácio, C.M.C. & Quintino, D.D. & Machado, J.A.T., 2020. "Measuring the Brazilian ethanol and gasoline market efficiency using DFA-Hurst and fractal dimension," Energy Economics, Elsevier, vol. 85(C).
    8. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
    9. Xiaofei Shi & Daran Xu & Zhanhao Zhang, 2021. "Deep Learning Algorithms for Hedging with Frictions," Papers 2111.01931, arXiv.org, revised Dec 2022.
    10. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
    11. Huiwen Wang & Shan Lu & Jichang Zhao, 2018. "Aggregating multiple types of complex data in stock market prediction: A model-independent framework," Papers 1805.05617, arXiv.org.
    12. Sun, Long Long & Hu, Ya Peng & Zhu, Chen Ping, 2023. "Scaling invariance in domestic passenger flight delays in the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    13. Zhang, Wei & Bi, Zhengzheng & Shen, Dehua, 2017. "Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 345-355.
    14. Sornette, Didier & Zhou, Wei-Xing, 2006. "Importance of positive feedbacks and overconfidence in a self-fulfilling Ising model of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 704-726.
    15. Wei-Xing Zhou, 2012. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1253-1263, June.
    16. Cebiroglu, Gökhan & Hautsch, Nikolaus & Walsh, Christopher, 2019. "Revisiting the stealth trading hypothesis: Does time-varying liquidity explain the size-effect?," CFS Working Paper Series 625, Center for Financial Studies (CFS).
    17. Makoto Nirei & Tsutomu Watanabe, 2014. "Beauty Contests and Fat Tails in Financial Markets," CARF F-Series CARF-F-346, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    18. Li, Ming-Xia & Jiang, Zhi-Qiang & Xie, Wen-Jie & Xiong, Xiong & Zhang, Wei & Zhou, Wei-Xing, 2015. "Unveiling correlations between financial variables and topological metrics of trading networks: Evidence from a stock and its warrant," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 575-584.
    19. Agostino Capponi & Paul Glasserman & Marko Weber, 2020. "Swing Pricing for Mutual Funds: Breaking the Feedback Loop Between Fire Sales and Fund Redemptions," Management Science, INFORMS, vol. 66(8), pages 3581-3602, August.
    20. Frank McGroarty & Ash Booth & Enrico Gerding & V. L. Raju Chinthalapati, 2019. "High frequency trading strategies, market fragility and price spikes: an agent based model perspective," Annals of Operations Research, Springer, vol. 282(1), pages 217-244, November.
    21. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    22. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
    23. J. Doyne Farmer & Paolo Patelli & Ilija I. Zovko, 2003. "The Predictive Power of Zero Intelligence in Financial Markets," Papers cond-mat/0309233, arXiv.org, revised Feb 2004.
    24. Jeannin, M. & Iori, G. & Samuel, D., 2006. "Modeling stock pinning," Working Papers 06/04, Department of Economics, City University London.
    25. Paolo Pelizzari & Frank Westerhoff, 2007. "Some Effects of Transaction Taxes Under Different Microstructures," Research Paper Series 212, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. Fabrizio Lillo, 2021. "Order flow and price formation," Papers 2105.00521, arXiv.org.
    27. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors," NBER Chapters, in: Market Institutions and Financial Market Risk, National Bureau of Economic Research, Inc.
    28. Steffen Bohn, 2011. "The slippage paradox," Papers 1103.2214, arXiv.org.
    29. Gianbiagio Curato & Jim Gatheral & Fabrizio Lillo, 2017. "Optimal execution with non-linear transient market impact," Quantitative Finance, Taylor & Francis Journals, vol. 17(1), pages 41-54, January.
    30. Emilio Said, 2022. "Market Impact: Empirical Evidence, Theory and Practice," Working Papers hal-03668669, HAL.
    31. Danilova, Albina & Julliard, Christian, 2015. "Information asymmetries, volatility, liquidity and the Tobin Tax," LSE Research Online Documents on Economics 119016, London School of Economics and Political Science, LSE Library.
    32. Lajbcygier, Paul & Sojka, Jeremy, 2015. "The viability of alternative indexation when including all costs," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 109-141.
    33. Wyart, Matthieu & Bouchaud, Jean-Philippe, 2007. "Self-referential behaviour, overreaction and conventions in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 1-24, May.
    34. E. Birgin & L. Bueno & N. Krejić & J. Martínez, 2011. "Low order-value approach for solving VaR-constrained optimization problems," Journal of Global Optimization, Springer, vol. 51(4), pages 715-742, December.
    35. Alexandru Mandes, 2014. "Order Placement in a Continuous Double Auction Agent Based Model," MAGKS Papers on Economics 201443, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    36. Yuta Toyama, 2022. "Dynamic Incentives and Permit Market Equilibrium in Cap-and-Trade Regulation," RIEEM Discussion Paper Series 1902, Research Institute for Environmental Economics and Management, Waseda University.
    37. Zijian Shi & John Cartlidge, 2023. "Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology," Papers 2303.00080, arXiv.org.
    38. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    39. Plamen Ch Ivanov & Ainslie Yuen & Pandelis Perakakis, 2014. "Impact of Stock Market Structure on Intertrade Time and Price Dynamics," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-14, April.
    40. Anthony Murphy & Marwan Izzeldin, 2005. "Order Flow, Transaction Clock, and Normality of Asset Returns: A Comment on Ané and Geman (2000)," Finance 0512005, University Library of Munich, Germany.
    41. Saerom Park & Jaewook Lee & Youngdoo Son, 2016. "Predicting Market Impact Costs Using Nonparametric Machine Learning Models," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-13, February.
    42. Alessio Sancetta, 2017. "Estimation for the Prediction of Point Processes with Many Covariates," Papers 1702.05315, arXiv.org.
    43. Andre Cardoso Barato & Iacopo Mastromatteo & Marco Bardoscia & Matteo Marsili, 2011. "Impact of meta-order in the Minority Game," Papers 1112.3908, arXiv.org, revised Nov 2012.
    44. Marcus Lim & Richard Coggins, 2005. "The immediate price impact of trades on the Australian Stock Exchange," Quantitative Finance, Taylor & Francis Journals, vol. 5(4), pages 365-377.
    45. Philipp Weber & Bernd Rosenow, 2006. "Large stock price changes: volume or liquidity?," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 7-14.
    46. Ban Zheng & Eric Moulines & Fr'ed'eric Abergel, 2012. "Price Jump Prediction in Limit Order Book," Papers 1204.1381, arXiv.org.
    47. Nirei, Makoto & Stachurski, John & Watanabe, Tsutomu, 2020. "Trade clustering and power laws in financial markets," Theoretical Economics, Econometric Society, vol. 15(4), November.
    48. Matthieu Wyart & Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters & Michele Vettorazzo, 2006. "Relation between Bid-Ask Spread, Impact and Volatility in Double Auction Markets," Science & Finance (CFM) working paper archive 500067, Science & Finance, Capital Fund Management.
    49. Ladislav Kristoufek, 2013. "Can Google Trends search queries contribute to risk diversification?," Papers 1310.1444, arXiv.org.
    50. Makoto Nirei, 2008. "Self-organized criticality in a herd behavior model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 89-97, June.
    51. Schoeneborn, Torsten & Schied, Alexander, 2007. "Liquidation in the Face of Adversity: Stealth Vs. Sunshine Trading, Predatory Trading Vs. Liquidity Provision," MPRA Paper 5548, University Library of Munich, Germany.
    52. Strozzi, F. & Zaldívar, J.M., 2005. "Non-linear forecasting in high-frequency financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 463-479.
    53. Lukas Gonon & Johannes Muhle-Karbe & Xiaofei Shi, 2019. "Asset Pricing with General Transaction Costs: Theory and Numerics," Papers 1905.05027, arXiv.org, revised Apr 2020.
    54. David Evangelista & Yuri Thamsten, 2023. "Approximately optimal trade execution strategies under fast mean-reversion," Papers 2307.07024, arXiv.org, revised Aug 2023.
    55. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: II. Agent-based models," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1013-1041.
    56. Ash Booth & Enrico Gerding & Frank McGroarty, 2015. "Performance-weighted ensembles of random forests for predicting price impact," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1823-1835, November.
    57. Ivan Jericevich & Patrick Chang & Tim Gebbie, 2020. "Comparing the market microstructure between two South African exchanges," Papers 2011.04367, arXiv.org.
    58. Wang, Dong-Hua & Suo, Yuan-Yuan & Yu, Xiao-Wen & Lei, Man, 2013. "Price–volume cross-correlation analysis of CSI300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1172-1179.
    59. Weibing Huang & Charles-Albert Lehalle & Mathieu Rosenbaum, 2015. "Simulating and Analyzing Order Book Data: The Queue-Reactive Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 107-122, March.
    60. Wang, Kaiyang & Yang, Haizhen, 2018. "The price-volume relationship caused by asset allocation based on Kelly criterion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1-8.
    61. Enzo Busseti & Fabrizio Lillo, 2012. "Calibration of optimal execution of financial transactions in the presence of transient market impact," Papers 1206.0682, arXiv.org.
    62. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: I. Empirical facts," Post-Print hal-00621058, HAL.
    63. João da Gama Batista & Domenico Massaro & Jean-Philippe Bouchaud & Damien Challet & Cars Hommes, 2017. "Do investors trade too much? A laboratory experiment," Post-Print hal-01244465, HAL.
    64. Jian Zhou & Gao-Feng Gu & Zhi-Qiang Jiang & Xiong Xiong & Wei Chen & Wei Zhang & Wei-Xing Zhou, 2014. "Computational experiments successfully predict the emergence of autocorrelations in ultra-high-frequency stock returns," Papers 1404.1051, arXiv.org, revised Feb 2018.
    65. Zhi-Qiang Jiang & Wei-Xing Zhou, 2010. "Complex stock trading network among investors," Papers 1003.2459, arXiv.org, revised May 2010.
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  49. Eric Smith & J Doyne Farmer & Laszlo Gillemot & Supriya Krishnamurthy, 2003. "Statistical theory of the continuous double auction," Quantitative Finance, Taylor & Francis Journals, vol. 3(6), pages 481-514.
    See citations under working paper version above.
  50. Iori, G. & Daniels, M.G. & Farmer, J.D. & Gillemot, L. & Krishnamurthy, S. & Smith, E., 2003. "An analysis of price impact function in order-driven markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 146-151.

    Cited by:

    1. Du, Bian & Zhu, Hongliang & Zhao, Jingdong, 2016. "Optimal execution in high-frequency trading with Bayesian learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 767-777.
    2. Elezovic, Suad, 2009. "Functional modelling of volatility in the Swedish limit order book," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2107-2118, April.
    3. Garud Iyengar & Anuj Kumar, 2006. "An equilibrium model for matching impatient demand and patient supply over time," Papers cs/0612065, arXiv.org, revised Mar 2007.
    4. Richard Bookstaber & Michael D. Foley & Brian F. Tivnan, 2015. "Market Liquidity and Heterogeneity in the Investor Decision Cycle," Working Papers 15-03, Office of Financial Research, US Department of the Treasury.
    5. Gianluca Mattarocci, 2009. "Market Characteristics and Chaos Dynamics in Stock Markets: an International Comparison," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Alessandro Carretta & Franco Fiordelisi & Gianluca Mattarocci (ed.), New Drivers of Performance in a Changing Financial World, chapter 6, pages 89-106, Palgrave Macmillan.
    6. Zhao, Jingdong & Zhu, Hongliang & Li, Xindan, 2018. "Optimal execution with price impact under Cumulative Prospect Theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1228-1237.
    7. Julius Bonart & Martin Gould, 2015. "Latency and liquidity provision in a limit order book," Papers 1511.04116, arXiv.org, revised Jun 2016.
    8. Frank, Julieta & Garcia, Philip, 2008. "Market Depth in Lean Hog and Live Cattle Futures Markets," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37613, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    9. Brian Tivnan & Matthew Koehler & Matthew McMahon & Matthew Olson & Neal Rothleder & Rajani Shenoy, 2011. "Adding to the Regulator's Toolbox: Integration and Extension of Two Leading Market Models," Papers 1105.5439, arXiv.org.
    10. Marco Bartolozzi, 2010. "A Multi Agent Model for the Limit Order Book Dynamics," Papers 1005.0182, arXiv.org, revised Oct 2010.
    11. Harvey, M. & Hendricks, D. & Gebbie, T. & Wilcox, D., 2017. "Deviations in expected price impact for small transaction volumes under fee restructuring," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 416-426.

  51. Ilija Zovko & J Doyne Farmer, 2002. "The power of patience: a behavioural regularity in limit-order placement," Quantitative Finance, Taylor & Francis Journals, vol. 2(5), pages 387-392.

    Cited by:

    1. Can Yilmaz Altinigne & Harun Ozkan & Veli Can Kupeli & Zehra Cataltepe, 2019. "An Empirical Study on Arrival Rates of Limit Orders and Order Cancellation Rates in Borsa Istanbul," Papers 1909.08308, arXiv.org.
    2. Efstathios Panayi & Gareth Peters, 2014. "Survival Models for the Duration of Bid-Ask Spread Deviations," Papers 1406.5487, arXiv.org.
    3. Ahmed El OUBANI & Mostafa LEKHAL, 2022. "Conception d’un modèle microscopique adapté aux marchés financiers émergents," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(1), pages 17-30, June.
    4. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    5. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    6. Ichiki, Shingo & Nishinari, Katsuhiro, 2015. "Simple stochastic order-book model of swarm behavior in continuous double auction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 304-314.
    7. Sandrine Jacob Leal & Mauro Napoletano, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," SciencePo Working papers Main hal-03403589, HAL.
    8. Lallouache, Mehdi & Abergel, Frédéric, 2014. "Tick size reduction and price clustering in a FX order book," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 488-498.
    9. Alexandru Mandes, 2014. "Order Placement in a Continuous Double Auction Agent Based Model," MAGKS Papers on Economics 201443, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Alberto Ciacci & Takumi Sueshige & Hideki Takayasu & Kim Christensen & Misako Takayasu, 2020. "The microscopic relationships between triangular arbitrage and cross-currency correlations in a simple agent based model of foreign exchange markets," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-19, June.
    12. Rama Cont & Sasha Stoikov & Rishi Talreja, 2010. "A Stochastic Model for Order Book Dynamics," Operations Research, INFORMS, vol. 58(3), pages 549-563, June.
    13. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    14. Gu, Gao-Feng & Chen, Wei & Zhou, Wei-Xing, 2008. "Empirical regularities of order placement in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3173-3182.
    15. Garud Iyengar & Anuj Kumar, 2006. "An equilibrium model for matching impatient demand and patient supply over time," Papers cs/0612065, arXiv.org, revised Mar 2007.
    16. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    17. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    18. Korolev, V.Yu. & Chertok, A.V. & Korchagin, A.Yu. & Zeifman, A.I., 2015. "Modeling high-frequency order flow imbalance by functional limit theorems for two-sided risk processes," Applied Mathematics and Computation, Elsevier, vol. 253(C), pages 224-241.
    19. Derksen, M. & Kleijn, B. & de Vilder, R., 2022. "Heavy tailed distributions in closing auctions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    20. Iori, G. & Daniels, M.G. & Farmer, J.D. & Gillemot, L. & Krishnamurthy, S. & Smith, E., 2003. "An analysis of price impact function in order-driven markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 146-151.
    21. Kyungsub Lee & Byoung Ki Seo, 2021. "Analytic formula for option margin with liquidity costs under dynamic delta hedging," Papers 2103.15302, arXiv.org.
    22. Xiao-Hui Ni & Zhi-Qiang Jiang & Gao-Feng Gu & Fei Ren & Wei Chen & Wei-Xing Zhou, 2009. "Scaling and memory in the non-poisson process of limit order cancelation," Papers 0911.0057, arXiv.org.
    23. Lux, Thomas, 2008. "Applications of statistical physics in finance and economics," Kiel Working Papers 1425, Kiel Institute for the World Economy (IfW Kiel).
    24. Adam Blazejewski & Richard Coggins, 2004. "A local non-parametric model for trade sign inference," Finance 0408009, University Library of Munich, Germany.
    25. Fricke, Daniel & Lux, Thomas, 2013. "The effects of a financial transaction tax in an artificial financial market," Kiel Working Papers 1868, Kiel Institute for the World Economy (IfW Kiel).
    26. Jian Zhou & Gao-Feng Gu & Zhi-Qiang Jiang & Xiong Xiong & Wei Chen & Wei Zhang & Wei-Xing Zhou, 2014. "Computational experiments successfully predict the emergence of autocorrelations in ultra-high-frequency stock returns," Papers 1404.1051, arXiv.org, revised Feb 2018.
    27. Withanawasam, R.M. & Whigham, P.A. & Crack, Timothy Falcon, 2013. "Characterizing limit order prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5346-5355.
    28. Boilard, J.-F. & Kanazawa, K. & Takayasu, H. & Takayasu, M., 2018. "Empirical scaling relations of market event rates in foreign currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1152-1161.
    29. Anton Bovier & Jiří Černý & Ostap Hryniv, 2006. "The Opinion Game: Stock Price Evolution From Microscopic Market Modeling," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 91-111.
    30. Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019. "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 200-229.
    31. Maskawa, Jun-ichi, 2007. "Correlation of coming limit price with order book in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 90-95.
    32. Valle, Mauricio A. & Ruz, Gonzalo A. & Rica, Sergio, 2019. "Market basket analysis by solving the inverse Ising problem: Discovering pairwise interaction strengths among products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 36-44.
    33. Shingo Ichiki & Katsuhiro Nishinari, 2014. "Simple Stochastic Order-Book Model of Swarm Behavior in Continuous Double Auction," Papers 1411.2215, arXiv.org.
    34. Szabolcs Mike & J. Doyne Farmer, 2005. "An empirical behavioral model of price formation," Papers physics/0509194, arXiv.org, revised Oct 2005.
    35. Jose Blanchet & Xinyun Chen, 2013. "Continuous-time Modeling of Bid-Ask Spread and Price Dynamics in Limit Order Books," Papers 1310.1103, arXiv.org.
    36. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    37. James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
    38. Gao-Feng Gu & Xiong Xiong & Wei Zhang & Yong-Jie Zhang & Wei-Xing Zhou, 2014. "Empirical properties of inter-cancellation durations in the Chinese stock market," Papers 1403.3478, arXiv.org.
    39. Rene Carmona & Kevin Webster, 2013. "The Self-Financing Equation in High Frequency Markets," Papers 1312.2302, arXiv.org.
    40. Y, Ivanenko. & B, Munier., 2012. "Price as a choice under nonstochastic randomness in finance," Working papers 381, Banque de France.
    41. Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
    42. Kyubin Yim & Gabjin Oh & Seunghwan Kim, 2016. "Understanding Financial Market States Using an Artificial Double Auction Market," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    43. Anton Bovier & Jiri Cerny & Ostap Hryniv, 2004. "The Opinion Game: Stock price evolution from microscopic market modelling," Papers cond-mat/0401422, arXiv.org.
    44. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "Quasi-Centralized Limit Order Books," Papers 1502.00680, arXiv.org, revised Oct 2016.

  52. Farmer, J. Doyne & Joshi, Shareen, 2002. "The price dynamics of common trading strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.
    See citations under working paper version above.
  53. J. Doyne Farmer, 2002. "Market force, ecology and evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(5), pages 895-953, November.
    See citations under working paper version above.
  54. Sun J. & Kim Y.J. & Hewett J. & Johnson J. C & Farmer J. & Gibler M., 2001. "Evaluation of Traffic Injury Prevention Programs Using Counting Process Approaches," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 469-475, June.

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    1. Zhao, Qiang & Sun, Jianguo, 2006. "Semiparametric and nonparametric analysis of recurrent events with observation gaps," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1924-1933, December.
    2. Yang-Jin Kim, 2014. "Regression analysis of recurrent events data with incomplete observation gaps," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(7), pages 1619-1626, July.

  55. J. Doyne Farmer, 2000. "A Simple Model For The Nonequilibrium Dynamics And Evolution Of A Financial Market," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 425-441.

    Cited by:

    1. Norman Ehrentreich, 2002. "The Santa Fe Artificial Stock Market Re-Examined - Suggested Corrections," Computational Economics 0209001, University Library of Munich, Germany.
    2. Irina Dezhina, 2006. "An Analysis of Competition in the Russian Banking Sector," Research Paper Series, Gaidar Institute for Economic Policy, issue 96, pages 130-130.
    3. Cross, Rod & Grinfeld, Michael & Lamba, Harbir & Seaman, Tim, 2005. "A threshold model of investor psychology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 463-478.

  56. J. Doyne Farmer, 2000. "Physicists Attempt To Scale The Ivory Towers Of Finance," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 311-333.
    See citations under working paper version above.

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