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Matthieu Cristelli

Citations

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

Working papers

  1. Andrea Zaccaria & Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2014. "How the Taxonomy of Products Drives the Economic Development of Countries," Papers 1408.2138, arXiv.org.

    Cited by:

    1. Mercedes Campi & Marco Dueñas & Le Li & Huabin Wu, 2021. "Diversification, economies of scope, and exports growth of Chinese firms," Working Papers 65, Red Nacional de Investigadores en Economía (RedNIE).
    2. Campi, Mercedes & Dueñas, Marco & Fagiolo, Giorgio, 2021. "Specialization in food production affects global food security and food systems sustainability," World Development, Elsevier, vol. 141(C).
    3. Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The green transition: public policy, finance, and the role of the State," SciencePo Working papers Main hal-04114748, HAL.
    4. Orazio Angelini & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2017. "The complex dynamics of products and its asymptotic properties," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-20, May.
    5. CALDAROLA Bernardo & MAZZILLI Dario & NAPOLITANO Lorenzo & PATELLI Aurelio & SBARDELLA Angelica, 2024. "Economic complexity and the sustainability transition: A review of data, methods, and literature," JRC Working Papers on Corporate R&D and Innovation 2024-01, Joint Research Centre.
    6. Mercedes Campi & Marco Dueñas & Giorgio Fagiolo, 2019. "How do countries specialize in food production? A complex-network analysis of the global agricultural product space," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2020-48, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    7. Dosi, Giovanni & Mathew, Nanditha & Pugliese, Emanuele, 2019. "What a firm produces matters: diversi cation, coherence and performance of Indian manufacturing," MERIT Working Papers 2019-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Emanuele Pugliese & Guido L Chiarotti & Andrea Zaccaria & Luciano Pietronero, 2017. "Complex Economies Have a Lateral Escape from the Poverty Trap," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.
    9. Francesco de Cunzo & Alberto Petri & Andrea Zaccaria & Angelica Sbardella, 2022. "The trickle down from environmental innovation to productive complexity," Papers 2206.07537, arXiv.org.
    10. Yang, Shuhui & Li, Zhongkai & Zhou, Jianlin & Gao, Yancheng & Cui, Xuefeng, 2024. "Evolving patterns of agricultural production space in China: A network-based approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(1), pages 121-134.
    11. Kemp-Benedict, Eric, 2014. "An interpretation and critique of the Method of Reflections," MPRA Paper 60705, University Library of Munich, Germany.
    12. Lorenzo Napolitano & Angelica Sbardella & Davide Consoli & Nicolo Barbieri & Francois Perruchas, 2020. "Green Innovation and Income Inequality: A Complex System Analysis," SPRU Working Paper Series 2020-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Sabrina Aufiero & Giordano De Marzo & Angelica Sbardella & Andrea Zaccaria, 2023. "Mapping job complexity and skills into wages," Papers 2304.05251, arXiv.org.
    14. Mercedes Campi & Marco Duenas & Giorgio Fagiolo, 2020. "Specialization in food production, global food security and sustainability," LEM Papers Series 2020/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2017. "Technology networks: the autocatalytic origins of innovation," Papers 1708.03511, arXiv.org, revised Apr 2018.
    16. Angelica Sbardella & Andrea Zaccaria & Luciano Pietronero & Pasquale Scaramozzino, 2021. "Behind the Italian Regional Divide: An Economic Fitness and Complexity Perspective," LEM Papers Series 2021/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Vidmer, Alexandre & Zeng, An & Medo, Matúš & Zhang, Yi-Cheng, 2015. "Prediction in complex systems: The case of the international trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 188-199.
    18. Freire, Clovis, 2019. "Economic diversification: A model of structural economic dynamics and endogenous technological change," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 13-28.
    19. Seung Hwan Kim & Bogang Jun & Jeong-Dong Lee, 2023. "Technological relatedness: how do firms diversify their technology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 4901-4931, September.
    20. Castañeda, Gonzalo & Pietronero, Luciano & Romero-Padilla, Juan & Zaccaria, Andrea, 2022. "The complex dynamic of growth: Fitness and the different patterns of economic activity in the medium and long terms," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 231-246.
    21. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.
    22. Onder Nomaler & Bart Verspagen, 2024. "Reinterpreting economic complexity in multiple dimensions," Papers 2409.01830, arXiv.org.
    23. Tacchella, Andrea & Zaccaria, Andrea & Miccheli, Marco & Pietronero, Luciano, 2023. "Relatedness in the era of machine learning," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    24. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2019. "Coherent diversification in corporate technological portfolios," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    25. Filippo Bontadini & Mercedes Campi & Marco Due~nas, 2023. "Being at the core: firm product specialisation," Papers 2302.02767, arXiv.org, revised Mar 2023.
    26. Giovanni Dosi & Nanditha Mathew & Emanuele Pugliese, 2019. "What a firm produces matters: diversification, coherence and performance of Indian manufacturing firms," LEM Papers Series 2019/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    27. Dosi, Giovanni & Mathew, Nanditha & Pugliese, Emanuele, 2022. "What a firm produces matters: Processes of diversification, coherence and performances of Indian manufacturing firms," Research Policy, Elsevier, vol. 51(8).
    28. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2017. "Coherent diversification in corporate technological portfolios," Papers 1707.02188, arXiv.org.
    29. Orazio Angelini & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2016. "The complex dynamics of products and its asymptotic properties," Papers 1610.00274, arXiv.org, revised May 2017.
    30. Andrea Tacchella & Andrea Zaccaria & Marco Miccheli & Luciano Pietronero, 2021. "Relatedness in the Era of Machine Learning," Papers 2103.06017, arXiv.org.
    31. Massimiliano Fessina & Giambattista Albora & Andrea Tacchella & Andrea Zaccaria, 2022. "Which products activate a product? An explainable machine learning approach," Papers 2212.03094, arXiv.org.
    32. Aurelio Patelli & Andrea Zaccaria & Luciano Pietronero, 2021. "Universal Database for Economic Complexity," Papers 2110.00302, arXiv.org.
    33. Giambattista Albora & Matteo Straccamore & Andrea Zaccaria, 2024. "Machine learning-based similarity measure to forecast M&A from patent data," Papers 2404.07179, arXiv.org.
    34. Hausmann, Ricardo & Stock, Daniel P. & Yıldırım, Muhammed A., 2022. "Implied comparative advantage," Research Policy, Elsevier, vol. 51(8).
    35. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Luciano Pietronero, 2015. "From innovation to diversification: a simple competitive model," Papers 1508.03571, arXiv.org, revised Nov 2015.
    36. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    37. Emanuele Pugliese & Guido L. Chiarotti & Andrea Zaccaria & Luciano Pietronero, 2015. "Complex economies have a lateral escape from the poverty trap," Papers 1511.08622, arXiv.org.
    38. Cristelli, Matthieu & Tacchella, Andrea & Zaccaria, Andrea & Pietronero, Luciano, 2014. "Growth scenarios for sub-Saharan countries in the framework of economic complexity," MPRA Paper 71594, University Library of Munich, Germany.
    39. Alessio Emanuele Biondo & Alfio Giarlotta & Alessandro Pluchino & Andrea Rapisarda, 2016. "Perfect Information vs Random Investigation: Safety Guidelines for a Consumer in the Jungle of Product Differentiation," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-26, January.
    40. Saurabh Mishra & Robert Koopman & Giuditta De-Prato & Anand Rao & Israel Osorio-Rodarte & Julie Kim & Nikola Spatafora & Keith Strier & Andrea Zaccaria, 2021. "AI Specialization for Pathways of Economic Diversification," Papers 2103.11042, arXiv.org.
    41. Orazio Angelini & Tiziana Di Matteo, 2018. "Complexity of products: the effect of data regularisation," Papers 1808.08249, arXiv.org, revised Oct 2018.

  2. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.

    Cited by:

    1. Eric Kemp-Benedict, 2012. "Second-order Price Dynamics: Approach to Equilibrium with Perpetual Arbitrage," Papers 1202.5926, arXiv.org.

  3. Ilaria Bordino & Stefano Battiston & Guido Caldarelli & Matthieu Cristelli & Antti Ukkonen & Ingmar Weber, 2011. "Web search queries can predict stock market volumes," Papers 1110.4784, arXiv.org, revised Jun 2012.

    Cited by:

    1. David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
    2. 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.
    3. Jichang Dong & Wei Dai & Ying Liu & Lean Yu & Jie Wang, 2019. "Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1605-1629, September.
    4. Young Bin Kim & Sang Hyeok Lee & Shin Jin Kang & Myung Jin Choi & Jung Lee & Chang Hun Kim, 2015. "Virtual World Currency Value Fluctuation Prediction System Based on User Sentiment Analysis," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-18, August.
    5. Guo, Jian-Feng & Ji, Qiang, 2013. "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, vol. 112(C), pages 1536-1543.
    6. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
    7. David W Carter & Scott Crosson & Christopher Liese, 2015. "Nowcasting Intraseasonal Recreational Fishing Harvest with Internet Search Volume," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-18, September.
    8. Matteo Accornero & Mirko Moscatelli, 2018. "Listening to the buzz: social media sentiment and retail depositors' trust," Temi di discussione (Economic working papers) 1165, Bank of Italy, Economic Research and International Relations Area.
    9. Chih-Yu Chin & Chia-Hsien Tang & Yen-Hsien Lee, 2020. "The Social Network Volume of COVID-19 and Stock Market Response," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-4.
    10. Dimitris Andriosopoulos & Michael Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Post-Print hal-02880149, HAL.
    11. Ana Fern'andez Vilas & Rebeca D'iaz Redondo & Ant'on Lorenzo Garc'ia, 2023. "The irruption of cryptocurrencies into Twitter cashtags: a classifying solution," Papers 2312.11531, arXiv.org.
    12. Pavlicek, Jaroslav & Kristoufek, Ladislav, 2015. "Nowcasting unemployment rates with Google searches: Evidence from the Visegrad Group countries," FinMaP-Working Papers 34, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    13. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.
    14. Martina Halouskov'a & Daniel Stav{s}ek & Mat'uv{s} Horv'ath, 2022. "The role of investor attention in global asset price variation during the invasion of Ukraine," Papers 2205.05985, arXiv.org, revised Aug 2022.
    15. Thomas J Hwang, 2013. "Stock Market Returns and Clinical Trial Results of Investigational Compounds: An Event Study Analysis of Large Biopharmaceutical Companies," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    16. Raphael H Heiberger, 2015. "Collective Attention and Stock Prices: Evidence from Google Trends Data on Standard and Poor's 100," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-14, August.
    17. Semen Son-Turan, 2016. "The Impact of Investor Sentiment on the "Leverage Effect"," International Econometric Review (IER), Econometric Research Association, vol. 8(1), pages 4-18, April.
    18. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
    19. Halousková, Martina & Stašek, Daniel & Horváth, Matúš, 2022. "The role of investor attention in global asset price variation during the invasion of Ukraine," Finance Research Letters, Elsevier, vol. 50(C).
    20. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2014. "Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics," Papers 1412.3948, arXiv.org, revised Dec 2015.
    21. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2016. "Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
    22. Piñeiro-Chousa, Juan Ramón & López-Cabarcos, M. Ángeles & Pérez-Pico, Ada María, 2016. "Examining the influence of stock market variables on microblogging sentiment," Journal of Business Research, Elsevier, vol. 69(6), pages 2087-2092.
    23. Ilaria Gianstefani & Luigi Longo & Massimo Riccaboni, 2022. "The echo chamber effect resounds on financial markets: a social media alert system for meme stocks," Papers 2203.13790, arXiv.org.
    24. Ji, Qiang & Guo, Jian-Feng, 2015. "Oil price volatility and oil-related events: An Internet concern study perspective," Applied Energy, Elsevier, vol. 137(C), pages 256-264.
    25. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    26. Latoeiro, Pedro & Ramos, Sofía B. & Veiga, Helena, 2013. "Predictability of stock market activity using Google search queries," DES - Working Papers. Statistics and Econometrics. WS ws130605, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Xiao-Qian Sun & Hua-Wei Shen & Xue-Qi Cheng & Yuqing Zhang, 2016. "Market Confidence Predicts Stock Price: Beyond Supply and Demand," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-10, July.
    28. Semen Son Turan, 2014. "Internet Search Volume and Stock Return Volatility: The Case of Turkish Companies," Information Management and Business Review, AMH International, vol. 6(6), pages 317-328.
    29. Damien Challet & Ahmed Bel Hadj Ayed, 2015. "Do Google Trend data contain more predictability than price returns?," Post-Print hal-00960875, HAL.
    30. Bai, Lijuan & Yan, Xiangbin & Yu, Guang, 2019. "Impact of CEO media appearance on corporate performance in social media," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    31. 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.
    32. Chong Guan & Wenting Liu & Jack Yu-Chao Cheng, 2022. "Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital ‘Haves’ and ‘Have-mores’," Annals of Data Science, Springer, vol. 9(1), pages 5-31, February.
    33. Jaroslav Pavlicek & Ladislav Kristoufek, 2014. "Can Google searches help nowcast and forecast unemployment rates in the Visegrad Group countries?," Papers 1408.6639, arXiv.org.
    34. Xianlei Dong & Johan Bollen, 2015. "Computational Models of Consumer Confidence from Large-Scale Online Attention Data: Crowd-Sourcing Econometrics," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.
    35. Daniel Felix Ahelegbey & Paola Cerchiello & Roberta Scaramozzino, 2021. "Network Based Evidence of the Financial Impact of Covid-19 Pandemic," DEM Working Papers Series 198, University of Pavia, Department of Economics and Management.
    36. Paola Cerchiello & Paolo Giudici, 2017. "Categorical network models for systemic risk measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1593-1609, July.
    37. Ladislav Kristoufek, 2015. "Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components," Papers 1502.00225, arXiv.org.
    38. Liu, Jian-Guo & Yang, Zhen-Hua & Li, Sheng-Nan & Yu, Chang-Rui, 2018. "A generative model for the collective attention of the Chinese stock market investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1175-1182.
    39. Ding Ding & Chong Guan & Calvin M. L. Chan & Wenting Liu, 2020. "Building stock market resilience through digital transformation: using Google trends to analyze the impact of COVID-19 pandemic," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-21, December.
    40. David Garcia & Frank Schweitzer, 2015. "Social signals and algorithmic trading of Bitcoin," Papers 1506.01513, arXiv.org, revised Sep 2015.
    41. Eli Arditi & Eldad Yechiam & Gal Zahavi, 2015. "Association between Stock Market Gains and Losses and Google Searches," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-12, October.
    42. Milla Siikanen & Kk{e}stutis Baltakys & Juho Kanniainen & Ravi Vatrapu & Raghava Mukkamala & Abid Hussain, 2017. "Facebook drives behavior of passive households in stock markets," Papers 1709.07300, arXiv.org, revised May 2018.
    43. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    44. Ahelegbey, Daniel Felix & Celani, Alessandro & Cerchiello, Paola, 2024. "Measuring the impact of the EU health emergency response authority on the economic sectors and the public sentiment," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    45. Shan Lu & Jichang Zhao & Huiwen Wang, 2018. "The Power of Trading Polarity: Evidence from China Stock Market Crash," Papers 1802.01143, arXiv.org.
    46. Ming-Yuan Yang & Sai-Ping Li & Li-Xin Zhong & Fei Ren, 2018. "Modelling stock correlations with expected returns from investors," Papers 1803.02019, arXiv.org, revised Mar 2018.
    47. Juan Manuel García Sánchez & Xavier Vilasís Cardona & Alexandre Lerma Martín, 2022. "Influence of Car Configurator Webpage Data from Automotive Manufacturers on Car Sales by Means of Correlation and Forecasting," Forecasting, MDPI, vol. 4(3), pages 1-20, July.
    48. Long Wen & Chang Liu & Haiyan Song, 2019. "Forecasting tourism demand using search query data: A hybrid modelling approach," Tourism Economics, , vol. 25(3), pages 309-329, May.
    49. Matija Piv{s}korec & Nino Antulov-Fantulin & Petra Kralj Novak & Igor Mozetiv{c} & Miha Grv{c}ar & Irena Vodenska & Tomislav v{S}muc, 2014. "News Cohesiveness: an Indicator of Systemic Risk in Financial Markets," Papers 1402.3483, arXiv.org.
    50. Abay,Kibrom A. & Hirfrfot,Kibrom Tafere & Woldemichael,Andinet, 2020. "Winners and Losers from COVID-19 : Global Evidence from Google Search," Policy Research Working Paper Series 9268, The World Bank.
    51. Asgari, Mahdi & Nemati, Mehdi & Zheng, Yuqing, 2018. "Nowcasting Food Stock Movement using Food Safety Related Web Search Queries," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266323, Southern Agricultural Economics Association.
    52. Takao Noguchi & Neil Stewart & Christopher Y Olivola & Helen Susannah Moat & Tobias Preis, 2014. "Characterizing the Time-Perspective of Nations with Search Engine Query Data," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-5, April.
    53. Gabriele Ranco & Darko Aleksovski & Guido Caldarelli & Miha Grčar & Igor Mozetič, 2015. "The Effects of Twitter Sentiment on Stock Price Returns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    54. Young Bin Kim & Kyeongpil Kang & Jaegul Choo & Shin Jin Kang & TaeHyeong Kim & JaeHo Im & Jong-Hyun Kim & Chang Hun Kim, 2017. "Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum," Complexity, Hindawi, vol. 2017, pages 1-10, December.
    55. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    56. Arezoo Hatefi Ghahfarrokhi & Mehrnoush Shamsfard, 2019. "Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinions," Papers 1909.03792, arXiv.org, revised Sep 2019.
    57. Won Sang Lee & Hyo Shin Choi & So Young Sohn, 2018. "Forecasting new product diffusion using both patent citation and web search traffic," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-12, April.
    58. Arezoo Hatefi Ghahfarrokhi & Mehrnoush Shamsfard, 2020. "Tehran stock exchange prediction using sentiment analysis of online textual opinions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 22-37, January.
    59. Merve Alanyali & Tobias Preis & Helen Susannah Moat, 2016. "Tracking Protests Using Geotagged Flickr Photographs," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-8, March.
    60. Li, Zhenghui & Chen, Liming & Dong, Hao, 2021. "What are bitcoin market reactions to its-related events?," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 1-10.
    61. Audrino, Francesco & Sigrist, Fabio & Ballinari, Daniele, 2020. "The impact of sentiment and attention measures on stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 334-357.
    62. 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.
    63. Agosto, Arianna & Cerchiello, Paola & Pagnottoni, Paolo, 2022. "Sentiment, Google queries and explosivity in the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    64. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.

  4. M. Cristelli & L. Pietronero & A. Zaccaria, 2011. "Critical Overview of Agent-Based Models for Economics," Papers 1101.1847, arXiv.org.

    Cited by:

    1. Aleksejus Kononovicius & Vygintas Gontis, 2012. "Three-state herding model of the financial markets," Papers 1210.1838, arXiv.org, revised Jan 2013.
    2. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.
    3. Tseng, Jie-Jun & Li, Sai-Ping, 2012. "Quantifying volatility clustering in financial time series," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 11-19.
    4. Aleksejus Kononovicius & Vygintas Gontis & Valentas Daniunas, 2012. "Agent-based Versus Macroscopic Modeling of Competition and Business Processes in Economics and Finance," Papers 1202.3533, arXiv.org, revised Jun 2012.
    5. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. 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.
    7. Pierre Blanc & Jonathan Donier & Jean-Philippe Bouchaud, 2015. "Quadratic Hawkes processes for financial prices," Papers 1509.07710, arXiv.org.
    8. Vikram Krishnamurthy & Sujay Bhatt, 2015. "Sequential Detection of Market shocks using Risk-averse Agent Based Models," Papers 1511.01965, arXiv.org.
    9. Kononovicius, A. & Gontis, V., 2014. "Control of the socio-economic systems using herding interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 80-84.
    10. 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.
    11. Jan A. Lipski & Ryszard Kutner, 2013. "Agent-Based Stock Market Model with Endogenous Agents' Impact," Papers 1310.0762, arXiv.org, revised Dec 2013.
    12. 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.
    13. Aleksejus Kononovicius & Vygintas Gontis, 2014. "Herding interactions as an opportunity to prevent extreme events in financial markets," Papers 1409.8024, arXiv.org, revised May 2015.
    14. Jan A. Lipski & Ryszard Kutner, 2013. "Trust in foreseeing neighbours - a novel threshold model of financial market," Papers 1301.1824, arXiv.org.
    15. Biondi, Yuri & Giannoccolo, Pierpaolo & Galam, Serge, 2012. "Formation of share market prices under heterogeneous beliefs and common knowledge," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5532-5545.
    16. Zeng, Yayun & Wang, Jun & Xu, Kaixuan, 2017. "Complexity and multifractal behaviors of multiscale-continuum percolation financial system for Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 364-376.
    17. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    18. Jean-Philippe Bouchaud, 2012. "Crises and collective socio-economic phenomena: simple models and challenges," Papers 1209.0453, arXiv.org, revised Dec 2012.
    19. Pietro DeLellis & Franco Garofalo & Francesco Lo Iudice & Elena Napoletano, 2015. "Wealth distribution across communities of adaptive financial agents," Papers 1509.01217, arXiv.org, revised Sep 2015.
    20. Minh Tran & Thanh Duong & Duc Pham-Hi & Marc Bui, 2020. "Detecting the Proportion of Traders in the Stock Market: An Agent-Based Approach," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    21. 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.
    22. Aleksejus Kononovicius & Vygintas Gontis, 2015. "Herding interactions as an opportunity to prevent extreme events in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(7), pages 1-6, July.
    23. Vygintas Gontis & Aleksejus Kononovicius, 2013. "Fluctuation analysis of the three agent groups herding model," Papers 1305.5958, arXiv.org.
    24. Elena Green & Daniel M. Heffernan, 2019. "An Agent-Based Model to Explain the Emergence of Stylised Facts in Log Returns," Papers 1901.05053, arXiv.org.
    25. Aleksejus Kononovicius & Vygintas Gontis, 2011. "Agent based reasoning for the non-linear stochastic models of long-range memory," Papers 1106.2685, arXiv.org, revised Aug 2011.
    26. Aleksejus Kononovicius & Julius Ruseckas, 2014. "Continuous transition from the extensive to the non-extensive statistics in an agent-based herding model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(8), pages 1-7, August.
    27. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    28. Aleksejus Kononovicius & Vygintas Gontis, 2013. "Control of the socio-economic systems using herding interactions," Papers 1309.6105, arXiv.org, revised Feb 2014.
    29. Aleksejus Kononovicius & Valentas Daniunas, 2013. "Agent-based and macroscopic modeling of the complex socio-economic systems," Papers 1303.3693, arXiv.org, revised Apr 2013.

  5. 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.

    Cited by:

    1. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.
    2. 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.
    3. Kononovicius, Aleksejus & Ruseckas, Julius, 2019. "Order book model with herd behavior exhibiting long-range memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 171-191.
    4. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2017. "Heterogeneity and Self-Organization of Complex Systems Through an Application to Financial Market with Multiagent Systems," Post-Print hal-02114933, HAL.
    5. Hernández, Juan Antonio & Benito, Rosa Marı´a & Losada, Juan Carlos, 2012. "An adaptive stochastic model for financial markets," Chaos, Solitons & Fractals, Elsevier, vol. 45(6), pages 899-908.
    6. Roberto Mota Navarro & Francois Leyvraz & Hern'an Larralde, 2023. "Dynamical properties of volume at the spread in the Bitcoin/USD market," Papers 2304.01907, arXiv.org, revised May 2023.
    7. 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.
    8. Aleksejus Kononovicius & Julius Ruseckas, 2018. "Order book model with herd behavior exhibiting long-range memory," Papers 1809.02772, arXiv.org, revised Apr 2019.

  6. 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.

    Cited by:

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

  7. V. Alfi & M. Cristelli & L. Pietronero & A. Zaccaria, 2008. "Minimal Agent Based Model for Financial Markets I: Origin and Self-Organization of Stylized Facts," Papers 0808.3562, arXiv.org.

    Cited by:

    1. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.

  8. V. Alfi & M. Cristelli & L. Pietronero & A. Zaccaria, 2008. "Mechanisms of Self-Organization and Finite Size Effects in a Minimal Agent Based Model," Papers 0811.4256, arXiv.org.

    Cited by:

    1. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.
    2. Monira Essa Aloud, 2016. "Profitability of Directional Change Based Trading Strategies: The Case of Saudi Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 87-95.
    3. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.

  9. V. Alfi & M. Cristelli & L. Pietronero & A. Zaccaria, 2008. "Minimal Agent Based Model for Financial Markets II: Statistical Properties of the Linear and Multiplicative Dynamics," Papers 0808.3565, arXiv.org.

    Cited by:

    1. Federico Garzarelli & Matthieu Cristelli & Andrea Zaccaria & Luciano Pietronero, 2011. "Memory effects in stock price dynamics: evidences of technical trading," Papers 1110.5197, arXiv.org.
    2. Danilo Delpini & Giacomo Bormetti, 2012. "Stochastic Volatility with Heterogeneous Time Scales," Papers 1206.0026, arXiv.org, revised Apr 2013.

Articles

  1. Tacchella, A. & Cristelli, M. & Caldarelli, G. & Gabrielli, A. & Pietronero, L., 2013. "Economic complexity: Conceptual grounding of a new metrics for global competitiveness," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1683-1691.

    Cited by:

    1. Claudius Graebner-Radkowitsch, 2022. "Elements of an evolutionary approach to comparative economic studies: complexity, systemism, and path dependent development," ICAE Working Papers 134, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    2. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2020. "Public policies and the art of catching up: matching the historical evidence with a multicountry agent-based model," Post-Print hal-04090415, HAL.
    3. Chu, Lan Khanh & Ghosh, Sudeshna & Doğan, Buhari & Nguyen, Nam Hoai & Shahbaz, Muhammad, 2023. "Energy security as new determinant of renewable energy: The role of economic complexity in top energy users," Energy, Elsevier, vol. 263(PC).
    4. Adam, Antonis & Garas, Antonios & Lapatinas, Athanasios, 2019. "Economic complexity and jobs: an empirical analysis," MPRA Paper 92401, University Library of Munich, Germany.
    5. Andrea Flori & Fabrizio Lillo & Fabio Pammolli & Alessandro Spelta, 2021. "Better to stay apart: asset commonality, bipartite network centrality, and investment strategies," Annals of Operations Research, Springer, vol. 299(1), pages 177-213, April.
    6. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(3).
    7. Garas, Antonios & Guthmuller, Sophie & Lapatinas, Athanasios, 2019. "The development of nations conditions the disease space," MPRA Paper 92831, University Library of Munich, Germany.
    8. Gräbner, Claudius & Tamesberger, Dennis & Heimberger, Philipp & Kapelari, Timo & Kapeller, Jakob, 2019. "Trade models in the European Union," ifso working paper series 3, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    9. Pengcheng Song & Xiangyu Zong & Ximing Chen & Qin Zhao & Lubingzhi Guo, 2021. "The Shortest Duration Constrained Hidden Markov Model: Data denoise and forecast optimization on the country-product matrix for the Fitness-Complexity Algorithm," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-18, July.
    10. Francesco de Cunzo & Alberto Petri & Andrea Zaccaria & Angelica Sbardella, 2022. "The trickle down from environmental innovation to productive complexity," Papers 2206.07537, arXiv.org.
    11. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    12. Nguyen, Canh Phuc & Su, Thanh Dinh, 2021. "Economic integration and economic complexity: The role of basic resources in absorptive capability in 40 selected developing countries," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 609-625.
    13. Kamguia, Brice & Tadadjeu, Sosson & Miamo, Clovis & Njangang, Henri, 2022. "Does foreign aid impede economic complexity in developing countries?," International Economics, Elsevier, vol. 169(C), pages 71-88.
    14. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "Reprint of The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(8).
    15. Philipp Koch, 2020. "Economic Complexity and Growth: Can value-added exports better explain the link?," Papers 2009.07599, arXiv.org, revised Nov 2020.
    16. Felipe Orsolin Teixeira & Fabricio Jose Missio & Ricardo Dathein, 2022. "Economic complexity, structural transformation and economic growth in a regional context: Evidence for Brazil," PSL Quarterly Review, Economia civile, vol. 75(300), pages 63-79.
    17. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.
    18. Sudeshna Ghosh & Buhari Doğan & Muhlis Can & Muhammad Ibrahim Shah & Nicholas Apergis, 2023. "Does economic structure matter for income inequality?," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2507-2527, June.
    19. Dosi, Giovanni & Riccio, Federico & Virgillito, Maria Enrica, 2021. "Varieties of deindustrialization and patterns of diversification: why microchips are not potato chips," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 182-202.
    20. Angelica Sbardella & Andrea Zaccaria & Luciano Pietronero & Pasquale Scaramozzino, 2021. "Behind the Italian Regional Divide: An Economic Fitness and Complexity Perspective," LEM Papers Series 2021/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Bustos, Sebastián & Yıldırım, Muhammed A., 2022. "Production Ability and economic growth," Research Policy, Elsevier, vol. 51(8).
    22. Angelica Sbardella & Emanuele Pugliese & Andrea Zaccaria & Pasquale Scaramozzino, 2018. "The role of complex analysis in modeling economic growth," Papers 1808.10428, arXiv.org.
    23. Cassandra Sweet & Dalibor Eterovic, 2014. "Do Stronger Intellectual Property Rights Increase Innovation?," Working Papers ClioLab 18, EH Clio Lab. Instituto de Economía. Pontificia Universidad Católica de Chile.
    24. Castañeda, Gonzalo & Pietronero, Luciano & Romero-Padilla, Juan & Zaccaria, Andrea, 2022. "The complex dynamic of growth: Fitness and the different patterns of economic activity in the medium and long terms," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 231-246.
    25. Hao Liao & Xiao-Min Huang & Xing-Tong Wu & Ming-Kai Liu & Alexandre Vidmer & Ming-Yang Zhou & Yi-Cheng Zhang, 2018. "Enhancing Countries’ Fitness with Recommender Systems on the International Trade Network," Complexity, Hindawi, vol. 2018, pages 1-12, October.
    26. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "An Eco-Systems Approach To Constructing Economic Complexity Measures: Endogenization Of The Technological Dimension Using Lotka–Volterra Equations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.
    27. Gnangnon, Sèna Kimm, 2021. "Do Unilateral Trade Preferences Help Reduce Poverty in Beneficiary Countries?," EconStor Preprints 247346, ZBW - Leibniz Information Centre for Economics.
    28. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    29. William Baah-Boateng & Eric Twum, 2019. "Economic Complexity and Employment for Women and Youth: The Case of Ghana," Working Papers idrcdprughana, University of Cape Town, Development Policy Research Unit.
    30. Nguyen, Canh Phuc & Nguyen, Bach & Duy Tung, Bui & Dinh Su, Thanh, 2021. "Economic complexity and entrepreneurship density: A non-linear effect study," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    31. Maurya, Garima & Sahu, Sohini, 2022. "Cross-country variations in economic complexity: The role of individualism," Economic Modelling, Elsevier, vol. 115(C).
    32. Keneck-Massil, Joseph & Nvuh-Njoya, Youssouf, 2021. "Did colonisation matter for comparative economic complexity?," Economics Letters, Elsevier, vol. 203(C).
    33. Buhari Doğan & Oana M. Driha & Daniel Balsalobre Lorente & Umer Shahzad, 2021. "The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 1-12, January.
    34. Zhu, Xiangdong & He, Canfei & Gu, Zhutong, 2021. "Benefit from local or destination? The export expansion of Chinese photovoltaic industry under trade protection," Energy Economics, Elsevier, vol. 104(C).
    35. Lucrezia Fanti & Marcelo C. Pereira & Maria Enrica Virgillito, 2023. "A North-South agent based model of segmented labour markets. The role of education and trade asymmetries," LEM Papers Series 2023/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Giovanni Dosi & Federico Riccio & Maria Enrica Virgillito, 2022. "Specialize or diversify? And in What? Trade composition, quality of specialization, and persistent growth [Catching up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 301-337.
    37. Dosi, Giovanni & Roventini, Andrea & Russo, Emanuele, 2019. "Endogenous growth and global divergence in a multi-country agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 101-129.
    38. Gómez Zaldívar Manuel de Jesús & Chávez Juan Carlos & Mosqueda Chávez Marco Tulio, 2016. "Economic Complexity and Regional Growth Performance, Evidence From the Mexican Economy," Working Papers 2016-17, Banco de México.
    39. Stefano Costa & Stefano De Santis & Giovanni Dosi & Roberto Monducci & Angelica Sbardella & Maria Enrica Virgillito, 2021. "From organizational capabilities to corporate performances: at the roots of productivity slowdown," LEM Papers Series 2021/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Guohao Song & Chunlin Ding, 2024. "How Do Local Environmental Regulations Affect the Export Technological Complexity of Enterprises?," Sustainability, MDPI, vol. 16(17), pages 1-16, September.
    41. Lapatinas, Athanasios & Garas, Antonios & Boleti, Eirini & Kyriakou, Alexandra, 2019. "Economic complexity and environmental performance: Evidence from a world sample," MPRA Paper 92833, University Library of Munich, Germany.
    42. Inga Ivanova & Nataliya Smorodinskaya & Loet Leydesdorff, 2020. "On measuring complexity in a post-industrial economy: the ecosystem’s approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 197-212, February.
    43. Inga Ivanova, 2022. "The relation between complexity and synergy in the case of China: different ways of predicting GDP growth in a complex and adaptive system," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 195-215, February.
    44. Tacchella, Andrea & Zaccaria, Andrea & Miccheli, Marco & Pietronero, Luciano, 2023. "Relatedness in the era of machine learning," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    45. Gnangnon, Sèna Kimm, 2023. "The Quality of Aid for Trade Flows and Economic Complexity," EconStor Preprints 271538, ZBW - Leibniz Information Centre for Economics.
    46. Canh Phuc Nguyen & Thanh Dinh Su, 2021. "Financing the economy: The multidimensional influences of financial development on economic complexity," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(4), pages 644-684, May.
    47. Patelli, Aurelio & Napolitano, Lorenzo & Cimini, Giulio & Gabrielli, Andrea, 2023. "Geography of science: Competitiveness and inequality," Journal of Informetrics, Elsevier, vol. 17(1).
    48. Valeria Costantini & Valerio Leone Sciabolazza & Elena Paglialunga, 2023. "Network-driven positive externalities in clean energy technology production: the case of energy efficiency in the EU residential sector," The Journal of Technology Transfer, Springer, vol. 48(2), pages 716-748, April.
    49. Ben Saad, Myriam & Brahim, Mariem & Schaffar, Alexandra & Guesmi, Khaled & Ben Saad, Rym, 2023. "Economic complexity, diversification and economic development: The strategic factors," Research in International Business and Finance, Elsevier, vol. 64(C).
    50. Rita María del Río-Chanona & Jelena Grujić & Henrik Jeldtoft Jensen, 2017. "Trends of the World Input and Output Network of Global Trade," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    51. Hardik Rajpal & Omar A Guerrero, 2023. "Synergistic Small Worlds that Drive Technological Sophistication," Papers 2301.04579, arXiv.org, revised Jul 2023.
    52. Henri Njangang & Youssouf Nvuh-Njoya, 2023. "Unravelling the link between democracy and economic complexity: fresh evidence from the Varieties of Democracy data," SN Business & Economics, Springer, vol. 3(3), pages 1-32, March.
    53. Abdullah Almaatouq, 2016. "Complex Systems and a Computational Social Science Perspective on the Labor Market," Papers 1606.08562, arXiv.org.
    54. Isaac Ketu & Jules-Eric Tchapchet Tchouto & Arsene Mouongue Kelly, 2022. "Does infrastructure development drive economic complexity in African countries?," Economics Bulletin, AccessEcon, vol. 42(4), pages 2043-2053.
    55. Valentine Soumtang Bime & Dieudonné Mignamissi & Agathe Cassandra Koumis Ngagni, 2024. "Does financial openness matter for economic transformation in sub-Saharan Africa?," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-49, April.
    56. Claudius Graebner & Anna Hornykewycz, 2020. "Capability accumulation and product innovation: an agent-based perspective," ICAE Working Papers 108, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    57. Canh Phuc Nguyen & Christophe Schinckus & Thanh Dinh Su, 2020. "The drivers of economic complexity: International evidence from financial development and patents," International Economics, CEPII research center, issue 164, pages 140-150.
    58. Lapatinas, Athanasios, 2019. "The effect of the Internet on economic sophistication: An empirical analysis," Economics Letters, Elsevier, vol. 174(C), pages 35-38.
    59. Natera, Jose Miguel & Castellacci, Fulvio, 2021. "Transformational complexity, systemic complexity and economic development," Research Policy, Elsevier, vol. 50(7).
    60. Quang Hoan Truong & Van Chung Dong, 2023. "Impacts of FDI Presence and Product Sophistication on the Demand for Skilled and Unskilled Labour: Evidence from SMEs in Viet Nam," Working Papers DP-2022-40, Economic Research Institute for ASEAN and East Asia (ERIA).
    61. Andrea Tacchella & Andrea Zaccaria & Marco Miccheli & Luciano Pietronero, 2021. "Relatedness in the Era of Machine Learning," Papers 2103.06017, arXiv.org.
    62. Daniela MAGGIONI & Alessia LO TURCO & Mauro GALLEGATI, 2014. "Does export complexity matter for firms' output volatility?," Working Papers 407, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    63. Ming-Yang Zhou & Xiao-Yu Li & Wen-Man Xiong & Hao Liao, 2018. "Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods," Complexity, Hindawi, vol. 2018, pages 1-10, December.
    64. Massimiliano Fessina & Giambattista Albora & Andrea Tacchella & Andrea Zaccaria, 2022. "Which products activate a product? An explainable machine learning approach," Papers 2212.03094, arXiv.org.
    65. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2016. "Economic Development and Inequality: a complex system analysis," Papers 1605.03133, arXiv.org.
    66. Aurelio Patelli & Andrea Zaccaria & Luciano Pietronero, 2021. "Universal Database for Economic Complexity," Papers 2110.00302, arXiv.org.
    67. Bjørn Bo Sørensen, 2020. "Turnin' it up a notch: how spillovers from foreign direct investment boost the complexity of South Africa's exports," WIDER Working Paper Series wp-2020-3, World Institute for Development Economic Research (UNU-WIDER).
    68. You, Wanhai & Zhang, Yue & Lee, Chien-Chiang, 2022. "The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 112-128.
    69. Aurelio Patelli & Lorenzo Napolitano & Giulio Cimini & Andrea Gabrielli, 2021. "Geography of Science: Competitiveness and Inequality," Papers 2110.01615, arXiv.org.
    70. Claudius Graebner-Radkowitsch & Theresa Hager, 2021. "(Mis)Measuring Competitiveness: The Quantification of a Malleable Concept in the European Semester," ICAE Working Papers 130, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    71. Cyrielle Gaglio, 2015. "Measuring Country Competitiveness: A Survey of Exporting-based Indexes," GREDEG Working Papers 2015-42, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    72. Riccardo Di Clemente & Guido L Chiarotti & Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2014. "Diversification versus Specialization in Complex Ecosystems," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-8, November.
    73. Hausmann, Ricardo & Stock, Daniel P. & Yıldırım, Muhammed A., 2022. "Implied comparative advantage," Research Policy, Elsevier, vol. 51(8).
    74. Veronika Belousova & Nikolai Chichkanov & Grigory Gashnikov & Zhaklin Krayushkina & Thomas Thurner, 2023. "Technology-Intense Service Offerings in the Light of Economic Complexity: Establishing a Holistic Service Ecosystem," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 17(1), pages 7-17.
    75. Mishra, Saurabh & Tewari, Ishani & Toosi, Siavash, 2020. "Economic complexity and the globalization of services," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 267-280.
    76. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Luciano Pietronero, 2015. "From innovation to diversification: a simple competitive model," Papers 1508.03571, arXiv.org, revised Nov 2015.
    77. Robert Kitt, 2016. "Complex Endogenous Growth Model and Its Applications," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 8(1).
    78. Hao Liao & Xiao-Min Huang & Xing-Tong Wu & Ming-Kai Liu & Alexandre Vidmer & Mingyang Zhou & Yi-Cheng Zhang, 2019. "Enhancing countries' fitness with recommender systems on the international trade network," Papers 1904.02412, arXiv.org.
    79. Ajide, Kazeem Bello, 2022. "Is natural resource curse thesis an empirical regularity for economic complexity in Africa?," Resources Policy, Elsevier, vol. 76(C).
    80. Konstantīns Beņkovskis & Peter Jarrett & Ze’ev Krill & Oļegs Tkačevs & Naomitsu Yashiro, 2024. "Aim high, shoot low? Product complexity and export survival in Latvia," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 185-207, February.
    81. Charles D. Brummitt & Andres Gomez-Lievano & Ricardo Hausmann & Matthew H. Bonds, 2018. "Machine-learned patterns suggest that diversification drives economic development," Papers 1812.03534, arXiv.org.
    82. Arnaud Persenda & Alexandre Ruiz, 2023. "Autocatalytic Networks and the Green Economy," GREDEG Working Papers 2023-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    83. Maggioni, Daniela & Lo Turco, Alessia & Gallegati, Mauro, 2016. "Does product complexity matter for firms' output volatility?," Journal of Development Economics, Elsevier, vol. 121(C), pages 94-109.
    84. Cristelli, Matthieu & Tacchella, Andrea & Zaccaria, Andrea & Pietronero, Luciano, 2014. "Growth scenarios for sub-Saharan countries in the framework of economic complexity," MPRA Paper 71594, University Library of Munich, Germany.
    85. Cieślik, Andrzej & Parteka, Aleksandra, 2021. "Relative Productivity, Country Size and Export Diversification," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 28-44.
    86. Canh, Nguyen Phuc & Schinckus, Christophe & Thanh, Su Dinh, 2020. "The natural resources rents: Is economic complexity a solution for resource curse?," Resources Policy, Elsevier, vol. 69(C).
    87. Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2015. "The Heterogeneous Dynamics of Economic Complexity," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    88. Honoré Tekam Oumbé & Ronald Djeunankan & Alain Mekia Ndzana, 2023. "Does information and communication technologies affect economic complexity?," SN Business & Economics, Springer, vol. 3(4), pages 1-25, April.
    89. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2017. "Economic development and wage inequality: A complex system analysis," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-26, September.

  2. M. Cristelli & V. Alfi & L. Pietronero & A. Zaccaria, 2010. "Liquidity crisis, granularity of the order book and price fluctuations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(1), pages 41-49, January.
    See citations under working paper version above.
  3. V. Alfi & M. Cristelli & L. Pietronero & A. Zaccaria, 2009. "Minimal agent based model for financial markets II," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 399-417, February.

    Cited by:

    1. Roberto Mota Navarro & Hern'an Larralde Ridaura, 2016. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," Papers 1601.00229, arXiv.org, revised Jul 2016.
    2. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    3. 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.
    4. D. Delpini & G. Bormetti, 2015. "Stochastic volatility with heterogeneous time scales," Quantitative Finance, Taylor & Francis Journals, vol. 15(10), pages 1597-1608, October.
    5. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: II. Agent-based models," Post-Print hal-00621059, HAL.
    6. Vikram Krishnamurthy & Sujay Bhatt, 2015. "Sequential Detection of Market shocks using Risk-averse Agent Based Models," Papers 1511.01965, arXiv.org.
    7. Yang, G. & Chen, Y. & Huang, J.P., 2016. "The highly intelligent virtual agents for modeling financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 98-108.
    8. Monira Essa Aloud, 2016. "Profitability of Directional Change Based Trading Strategies: The Case of Saudi Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 87-95.
    9. Kononovicius, A. & Gontis, V., 2014. "Control of the socio-economic systems using herding interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 80-84.
    10. Alfarano, Simone & Milakovic, Mishael & Raddant, Matthias, 2011. "A Note on institutional hierarchy and volatility in financial markets," MPRA Paper 30902, University Library of Munich, Germany.
    11. Wenzhi Zheng & Yuting Lou & Yu Chen, 2019. "On the Unsustainable Macroeconomy with Increasing Inequality of Firms Induced by Excessive Liquidity," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    12. Ioane Muni Toke, 2011. ""Market making" behaviour in an order book model and its impact on the bid-ask spread," Post-Print hal-01705266, HAL.
    13. Murakami, Ryo & Nakamura, Tomomichi & Kimura, Shin & Manabe, Masashi & Tanizawa, Toshihiro, 2015. "On possible origins of trends in financial market price changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 179-189.
    14. Antoine Fosset & Jean-Philippe Bouchaud & Michael Benzaquen, 2020. "Endogenous Liquidity Crises," Post-Print hal-02567495, HAL.
    15. Aleksejus Kononovicius & Vygintas Gontis, 2014. "Herding interactions as an opportunity to prevent extreme events in financial markets," Papers 1409.8024, arXiv.org, revised May 2015.
    16. Roberto Mota Navarro & Hernán Larralde, 2017. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-27, February.
    17. Luis Goncalves de Faria, 2022. "An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation," Papers 2206.09772, arXiv.org.
    18. Schinckus, C., 2013. "Between complexity of modelling and modelling of complexity: An essay on econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3654-3665.
    19. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
    20. Hongler, Max-Olivier & Gallay, Olivier & Hülsmann, Michael & Cordes, Philip & Colmorn, Richard, 2010. "Centralized versus decentralized control—A solvable stylized model in transportation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(19), pages 4162-4171.
    21. Kononovicius, Aleksejus & Ruseckas, Julius, 2019. "Order book model with herd behavior exhibiting long-range memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 171-191.
    22. Ryo Murakami & Tomomichi Nakamura & Shin Kimura & Masashi Manabe & Toshihiro Tanizawa, 2014. "On possible origins of trends in financial market price changes," Papers 1406.5276, arXiv.org, revised Nov 2014.
    23. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    24. Aleksejus Kononovicius, 2017. "Empirical Analysis and Agent-Based Modeling of the Lithuanian Parliamentary Elections," Complexity, Hindawi, vol. 2017, pages 1-15, November.
    25. Katahira, Kei & Chen, Yu & Akiyama, Eizo, 2021. "Self-organized Speculation Game for the spontaneous emergence of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    26. Elena Green & Daniel M. Heffernan, 2019. "An Agent-Based Model to Explain the Emergence of Stylised Facts in Log Returns," Papers 1901.05053, arXiv.org.
    27. Antoine Fosset & Jean-Philippe Bouchaud & Michael Benzaquen, 2019. "Endogenous Liquidity Crises," Papers 1912.00359, arXiv.org, revised Feb 2020.
    28. Immonen, Eero, 2017. "Simple agent-based dynamical system models for efficient financial markets: Theory and examples," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 38-53.
    29. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    30. Aleksejus Kononovicius & Julius Ruseckas, 2018. "Order book model with herd behavior exhibiting long-range memory," Papers 1809.02772, arXiv.org, revised Apr 2019.
    31. 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.
    32. 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.
    33. Aleksejus Kononovicius & Valentas Daniunas, 2013. "Agent-based and macroscopic modeling of the complex socio-economic systems," Papers 1303.3693, arXiv.org, revised Apr 2013.

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