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Giacomo Livan

Personal Details

First Name:Giacomo
Middle Name:
Last Name:Livan
Suffix:
RePEc Short-ID:pli713

Affiliation

Abdus Salam International Centre for Theoretical Physics

http://www.ictp.it/
Trieste, Italy

Research output

as
Jump to: Working papers Articles

Working papers

  1. Riccardo Marcaccioli & Giacomo Livan, 2019. "Maximum Entropy approach to multivariate time series randomization," Papers 1907.04925, arXiv.org, revised Jun 2020.
  2. Livan, Giacomo & Caccioli, Fabio & Aste, Tomaso, 2017. "Excess reciprocity distorts reputation in online social networks," LSE Research Online Documents on Economics 83563, London School of Economics and Political Science, LSE Library.
  3. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2015. "Statistical mechanics of complex economies," Papers 1511.09203, arXiv.org, revised Apr 2017.
  4. Giacomo Livan & Simone Alfarano & Mishael Milakovic & Enrico Scalas, 2014. "A spectral perspective on excess volatility," Working Papers 2014/13, Economics Department, Universitat Jaume I, Castellón (Spain).
  5. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2012. "Financial instability from local market measures," Papers 1207.0356, arXiv.org, revised Sep 2012.
  6. Giacomo Livan & Jun-ichi Inoue & Enrico Scalas, 2012. "On the non-stationarity of financial time series: impact on optimal portfolio selection," Papers 1205.0877, arXiv.org, revised Jul 2012.
  7. Giacomo Livan & Luca Rebecchi, 2012. "Asymmetric correlation matrices: an analysis of financial data," Papers 1201.6535, arXiv.org, revised Apr 2012.
  8. Mario Filiasi & Giacomo Livan & Matteo Marsili & Maria Peressi & Erik Vesselli & Elia Zarinelli, 2012. "On the concentration of large deviations for fat tailed distributions, with application to financial data," Papers 1201.2817, arXiv.org, revised Jun 2014.
  9. Livan, Giacomo & Alfarano, Simone & Scalas, Enrico, 2011. "The fine structure of spectral properties for random correlation matrices: an application to financial markets," MPRA Paper 28964, University Library of Munich, Germany.
  10. Giacomo Bormetti & Valentina Cazzola & Danilo Delpini & Giacomo Livan, 2010. "Accounting for risk of non linear portfolios: a novel Fourier approach," Papers 1002.4817, arXiv.org, revised May 2010.
  11. G. Bormetti & V. Cazzola & G. Livan & G. Montagna & O. Nicrosini, 2009. "A Generalized Fourier Transform Approach to Risk Measures," Papers 0909.3978, arXiv.org, revised May 2012.
  12. Marco Bardoscia & Giancarlo De Luca & Giacomo Livan & Matteo Marsili & Claudio J. Tessone, "undated". "The Social Climbing Game," Working Papers ETH-RC-12-014, ETH Zurich, Chair of Systems Design.

Articles

  1. Mircea Zloteanu & Nigel Harvey & David Tuckett & Giacomo Livan, 2018. "Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-18, December.
  2. Giacomo Livan & Simone Alfarano & Mishael Milaković & Enrico Scalas, 2015. "A spectral perspective on excess volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 22(9), pages 745-750, June.
  3. G. Bormetti & V. Cazzola & D. Delpini & G. Livan, 2010. "Accounting for risk of non linear portfolios," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 76(1), pages 157-165, July.

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. Livan, Giacomo & Caccioli, Fabio & Aste, Tomaso, 2017. "Excess reciprocity distorts reputation in online social networks," LSE Research Online Documents on Economics 83563, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Mircea Zloteanu & Nigel Harvey & David Tuckett & Giacomo Livan, 2018. "Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-18, December.
    2. Starr, Richard G. & Zhu, Andrew Q. & Frethey-Bentham, Catherine & Brodie, Roderick J., 2020. "Peer-to-peer interactions in the sharing economy: Exploring the role of reciprocity within a Chinese social network," Australasian marketing journal, Elsevier, vol. 28(3), pages 67-80.
    3. Andrey Fradkin & Elena Grewal & David Holtz, 2021. "Reciprocity and Unveiling in Two-Sided Reputation Systems: Evidence from an Experiment on Airbnb," Marketing Science, INFORMS, vol. 40(6), pages 1013-1029, November.

  2. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2015. "Statistical mechanics of complex economies," Papers 1511.09203, arXiv.org, revised Apr 2017.

    Cited by:

    1. Pierre Gosselin & Aileen Lotz, 2024. "Financial Interactions and Capital Accumulation," Papers 2405.10338, arXiv.org.
    2. Demidov, Denis & Frahm, Klaus M. & Shepelyansky, Dima L., 2020. "What is the central bank of Wikipedia?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    3. 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.
    4. C'elestin Coquid'e & Leonardo Ermann & Jos'e Lages & D. L. Shepelyansky, 2019. "Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data," Papers 1903.01820, arXiv.org.
    5. José Balsa-Barreiro & Aymeric Vié & Alfredo J. Morales & Manuel Cebrián, 2020. "Deglobalization in a hyper-connected world," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-4, December.
    6. Leonie Wenz & Anders Levermann & Sven Norman Willner & Christian Otto & Kilian Kuhla, 2020. "Post-Brexit no-trade-deal scenario: Short-term consumer benefit at the expense of long-term economic development," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    7. Célestin Coquidé & José Lages & Dima Shepelyansky, 2020. "Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data," Post-Print hal-02132487, HAL.
    8. Célestin Coquidé & José Lages & Leonardo Ermann & Dima Shepelyansky, 2022. "COVID-19 impact on the international trade," Post-Print hal-03536528, HAL.
    9. Cárdenas, Juan Pablo & Vidal, Gerardo & Urbina, Carolina & Olivares, Gastón & Fuentes, Miguel Angel, 2018. "Social crises. A network model approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 35-48.
    10. Qingru Sun & Xiangyun Gao & Shaobo Wen & Sida Feng & Ze Wang, 2019. "Modeling the impulse response complex network for studying the fluctuation transmission of price indices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 835-858, December.
    11. 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.

  3. Giacomo Livan & Simone Alfarano & Mishael Milakovic & Enrico Scalas, 2014. "A spectral perspective on excess volatility," Working Papers 2014/13, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2020. "Survival and the ergodicity of corporate profitability," BERG Working Paper Series 162, Bamberg University, Bamberg Economic Research Group.
    2. Chakrabarti, Arnab & Chakrabarti, Anindya S., 2020. "Fractional Differencing: (In)stability of Spectral Structure and Risk Measures of Financial Networks," IIMA Working Papers WP 2020-07-01, Indian Institute of Management Ahmedabad, Research and Publication Department.

  4. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2012. "Financial instability from local market measures," Papers 1207.0356, arXiv.org, revised Sep 2012.

    Cited by:

    1. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2015. "DebtRank: A microscopic foundation for shock propagation," Papers 1504.01857, arXiv.org, revised Jun 2015.
    2. 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.
    3. Cárdenas, Juan Pablo & Vidal, Gerardo & Urbina, Carolina & Olivares, Gastón & Fuentes, Miguel Angel, 2018. "Social crises. A network model approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 35-48.

  5. Giacomo Livan & Jun-ichi Inoue & Enrico Scalas, 2012. "On the non-stationarity of financial time series: impact on optimal portfolio selection," Papers 1205.0877, arXiv.org, revised Jul 2012.

    Cited by:

    1. Matthias Raddant & Friedrich Wagner, 2013. "Phase Transition in the S&P Stock Market," Papers 1306.2508, arXiv.org, revised Jun 2015.
    2. Roman Matkovskyy & Akanksha Jalan & Michael Dowling & Taoufik Bouraoui, 2021. "From bottom ten to top ten: The role of cryptocurrencies in enhancing portfolio return of poorly performing stocks," Post-Print hal-04273124, HAL.
    3. Marcaccioli, Riccardo & Livan, Giacomo, 2020. "Maximum entropy approach to multivariate time series randomization," LSE Research Online Documents on Economics 115284, London School of Economics and Political Science, LSE Library.
    4. Marian Gidea & Daniel Goldsmith & Yuri Katz & Pablo Roldan & Yonah Shmalo, 2018. "Topological recognition of critical transitions in time series of cryptocurrencies," Papers 1809.00695, arXiv.org.
    5. Li, Yan & Jiang, Xiong-Fei & Tian, Yue & Li, Sai-Ping & Zheng, Bo, 2019. "Portfolio optimization based on network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 671-681.
    6. 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. Alessio Emanuele Biondo & Alessandro Pluchino & Andrea Rapisarda & Dirk Helbing, 2013. "Are Random Trading Strategies More Successful than Technical Ones?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.
    8. James, Nick & Menzies, Max, 2023. "An exploration of the mathematical structure and behavioural biases of 21st century financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    9. Douglas Castilho & Tharsis T. P. Souza & Soong Moon Kang & Jo~ao Gama & Andr'e C. P. L. F. de Carvalho, 2021. "Forecasting Financial Market Structure from Network Features using Machine Learning," Papers 2110.11751, arXiv.org.
    10. Gidea, Marian & Goldsmith, Daniel & Katz, Yuri & Roldan, Pablo & Shmalo, Yonah, 2020. "Topological recognition of critical transitions in time series of cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    11. Bertram During & Nicos Georgiou & Enrico Scalas, 2016. "A stylized model for wealth distribution," Papers 1609.08978, arXiv.org, revised Jul 2021.
    12. Nicol'o Musmeci & Tomaso Aste & Tiziana Di Matteo, 2016. "What does past correlation structure tell us about the future? An answer from network filtering," Papers 1605.08908, arXiv.org.
    13. Nicol'o Musmeci & Tomaso Aste & Tiziana Di Matteo, 2014. "Risk diversification: a study of persistence with a filtered correlation-network approach," Papers 1410.5621, arXiv.org.
    14. Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.
    15. A. E. Biondo & A. Pluchino & A. Rapisarda & D. Helbing, 2013. "Are random trading strategies more successful than technical ones?," Papers 1303.4351, arXiv.org, revised Jul 2013.
    16. Chakrabarti, Arnab & Chakrabarti, Anindya S., 2020. "Fractional Differencing: (In)stability of Spectral Structure and Risk Measures of Financial Networks," IIMA Working Papers WP 2020-07-01, Indian Institute of Management Ahmedabad, Research and Publication Department.

  6. Giacomo Livan & Luca Rebecchi, 2012. "Asymmetric correlation matrices: an analysis of financial data," Papers 1201.6535, arXiv.org, revised Apr 2012.

    Cited by:

    1. Sandoval, Leonidas, 2014. "To lag or not to lag? How to compare indices of stock markets that operate on different times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 227-243.
    2. Yongcheng Qi & Mengzi Xie, 2020. "Spectral Radii of Products of Random Rectangular Matrices," Journal of Theoretical Probability, Springer, vol. 33(4), pages 2185-2212, December.
    3. Linyu Cao & Ruili Sun & Tiefeng Ma & Conan Liu, 2023. "On Asymmetric Correlations and Their Applications in Financial Markets," JRFM, MDPI, vol. 16(3), pages 1-18, March.
    4. Sandoval, Leonidas Junior, 2013. "To lag or not to lag? How to compare indices of stock markets that operate at different times," Insper Working Papers wpe_319, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    5. Zeng, Xingyuan, 2017. "Limiting empirical distribution for eigenvalues of products of random rectangular matrices," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 33-40.
    6. Tang, Yong & Luo, Yong & Xiong, Jie & Zhao, Fei & Zhang, Yi-Cheng, 2013. "Impact of monetary policy changes on the Chinese monetary and stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4435-4449.
    7. 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.

  7. Mario Filiasi & Giacomo Livan & Matteo Marsili & Maria Peressi & Erik Vesselli & Elia Zarinelli, 2012. "On the concentration of large deviations for fat tailed distributions, with application to financial data," Papers 1201.2817, arXiv.org, revised Jun 2014.

    Cited by:

    1. Sergey Bredikhin & Jonathan Linton & Thais Matoszko, 2017. "Why and How the Value of Science-Based Firms Violates Financial Theory: Implications for Policy and Governance," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 11(1 (eng)), pages 24-30.
    2. Aur'elien Hazan, 2017. "Stock-flow consistent macroeconomic model with nonuniform distributional constraint," Papers 1708.00645, arXiv.org.
    3. Cerqueti, Roy & Giacalone, Massimiliano & Panarello, Demetrio, 2019. "A Generalized Error Distribution Copula-based method for portfolios risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 687-695.

  8. Livan, Giacomo & Alfarano, Simone & Scalas, Enrico, 2011. "The fine structure of spectral properties for random correlation matrices: an application to financial markets," MPRA Paper 28964, University Library of Munich, Germany.

    Cited by:

    1. Giacomo Livan & Simone Alfarano & Mishael Milaković & Enrico Scalas, 2015. "A spectral perspective on excess volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 22(9), pages 745-750, June.
    2. Matthias Raddant & Friedrich Wagner, 2013. "Phase Transition in the S&P Stock Market," Papers 1306.2508, arXiv.org, revised Jun 2015.
    3. Longfeng Zhao & Wei Li & Andrea Fenu & Boris Podobnik & Yougui Wang & H. Eugene Stanley, 2017. "The q-dependent detrended cross-correlation analysis of stock market," Papers 1705.01406, arXiv.org, revised Jun 2017.
    4. Marcaccioli, Riccardo & Livan, Giacomo, 2020. "Maximum entropy approach to multivariate time series randomization," LSE Research Online Documents on Economics 115284, London School of Economics and Political Science, LSE Library.
    5. Anshul Verma & Orazio Angelini & Tiziana Di Matteo, 2019. "A new set of cluster driven composite development indicators," Papers 1911.11226, arXiv.org, revised Mar 2020.
    6. Thomas Bury, 2014. "Collective behaviours in the stock market -- A maximum entropy approach," Papers 1403.5179, arXiv.org, revised Mar 2014.
    7. Riccardo Marcaccioli & Giacomo Livan, 2019. "Maximum Entropy approach to multivariate time series randomization," Papers 1907.04925, arXiv.org, revised Jun 2020.
    8. Matthias Raddant & Friedrich Wagner, 2015. "Transitions in the Stock Markets of the US, UK, and Germany," Papers 1504.06113, arXiv.org.
    9. Bury, Thomas, 2014. "Predicting trend reversals using market instantaneous state," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 79-91.
    10. Anshul Verma & Riccardo Junior Buonocore & Tiziana di Matteo, 2017. "A cluster driven log-volatility factor model: a deepening on the source of the volatility clustering," Papers 1712.02138, arXiv.org, revised May 2018.
    11. 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.
    12. M. Raddant & T. Di Matteo, 2023. "A look at financial dependencies by means of econophysics and financial economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(4), pages 701-734, October.
    13. Thomas Bury, 2013. "Predicting trend reversals using market instantaneous state," Papers 1310.8169, arXiv.org, revised Mar 2014.
    14. Giacomo Livan & Luca Rebecchi, 2012. "Asymmetric correlation matrices: an analysis of financial data," Papers 1201.6535, arXiv.org, revised Apr 2012.
    15. Gerardo-Giorda, Luca & Germano, Guido & Scalas, Enrico, 2015. "Large scale simulation of synthetic markets," LSE Research Online Documents on Economics 67563, London School of Economics and Political Science, LSE Library.
    16. Antti J Tanskanen & Jani Lukkarinen & Kari Vatanen, 2018. "Random selection of factors preserves the correlation structure in a linear factor model to a high degree," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-22, December.
    17. Giacomo Livan & Jun-ichi Inoue & Enrico Scalas, 2012. "On the non-stationarity of financial time series: impact on optimal portfolio selection," Papers 1205.0877, arXiv.org, revised Jul 2012.
    18. Yi†Hui Zhou & J. S. Marron & Fred A. Wright, 2018. "Eigenvalue significance testing for genetic association," Biometrics, The International Biometric Society, vol. 74(2), pages 439-447, June.

  9. G. Bormetti & V. Cazzola & G. Livan & G. Montagna & O. Nicrosini, 2009. "A Generalized Fourier Transform Approach to Risk Measures," Papers 0909.3978, arXiv.org, revised May 2012.

    Cited by:

    1. Giacomo Bormetti & Sofia Cazzaniga, 2011. "Multiplicative noise, fast convolution, and pricing," Papers 1107.1451, arXiv.org.
    2. Dobrislav Dobrev∗ & Travis D. Nesmith & Dong Hwan Oh, 2017. "Accurate Evaluation of Expected Shortfall for Linear Portfolios with Elliptically Distributed Risk Factors," JRFM, MDPI, vol. 10(1), pages 1-14, February.
    3. Alessandro Ramponi, 2016. "On a Transform Method for the Efficient Computation of Conditional V@R (and V@R) with Application to Loss Models with Jumps and Stochastic Volatility," Methodology and Computing in Applied Probability, Springer, vol. 18(2), pages 575-596, June.
    4. Giacomo Bormetti & Sofia Cazzaniga, 2014. "Multiplicative noise, fast convolution and pricing," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 481-494, March.

  10. Marco Bardoscia & Giancarlo De Luca & Giacomo Livan & Matteo Marsili & Claudio J. Tessone, "undated". "The Social Climbing Game," Working Papers ETH-RC-12-014, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Fabio Vanni & Paolo Barucca, 2019. "Degree-correlations in a bursting dynamic network model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 663-695, September.
    2. Zhang, Xin-Jie & Tang, Yong & Xiong, Jason & Wang, Wei-Jia & Zhang, Yi-Cheng, 2020. "Ranking game on networks: The evolution of hierarchical society," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    3. Cao, Yong & Zhao, Youjie & Yue, Xiaoguang & Xiong, Fei & Sun, Yongke & He, Xin & Wang, Lichao, 2016. "Between disorder and order: A case study of power law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 244-255.

Articles

  1. Mircea Zloteanu & Nigel Harvey & David Tuckett & Giacomo Livan, 2018. "Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-18, December.

    Cited by:

    1. Xiulan Jiang & Yukun Li & Jun Yang & Sen Wang & Chunjia Han, 2024. "Host–Guest Interaction and Sustainable Consumption Behaviour on Sharing-Accommodation Platforms: Using a Big Data Analytic Approach," Sustainability, MDPI, vol. 16(13), pages 1-22, June.
    2. Maik Hesse & Timm Teubner, 2020. "Reputation portability – quo vadis?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 331-349, June.
    3. Rense Corten & Judith Kas & Timm Teubner & Martijn Arets, 2023. "The role of contextual and contentual signals for online trust: Evidence from a crowd work experiment," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    4. Shuqair, Saleh & Pinto, Diego Costa & Mattila, Anna S., 2019. "Benefits of authenticity: Post-failure loyalty in the sharing economy," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
    5. Dan-Cristian Dabija & Luiela Magdalena Csorba & Florin-Lucian Isac & Sergiu Rusu, 2023. "Managing Sustainable Sharing Economy Platforms: A Stimulus–Organism–Response Based Structural Equation Modelling on an Emerging Market," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    6. Polanco-Diges, Leticia & Debasa, Felipe, 2020. "The Use Of Digital Marketing Strategies In The Sharing Economy: A Literature Review," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(3), pages 217-229.
    7. Davlembayeva, Dinara & Papagiannidis, Savvas & Alamanos, Eleftherios, 2020. "Sharing economy: Studying the social and psychological factors and the outcomes of social exchange," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    8. Cristina Pérez-Pérez & Diana Benito-Osorio & Susana María García-Moreno & Andrés Martínez-Fernández, 2021. "Is Sharing a Better Alternative for the Planet? The Contribution of Sharing Economy to Sustainable Development Goals," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    9. Gössling, Stefan & Larson, Mia & Pumputis, Aurimas, 2021. "Mutual surveillance on Airbnb," Annals of Tourism Research, Elsevier, vol. 91(C).

  2. Giacomo Livan & Simone Alfarano & Mishael Milaković & Enrico Scalas, 2015. "A spectral perspective on excess volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 22(9), pages 745-750, June.
    See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (3) 2011-03-05 2012-02-15 2019-07-29
  2. NEP-ETS: Econometric Time Series (2) 2012-01-25 2012-02-15
  3. NEP-GRO: Economic Growth (1) 2015-12-08
  4. NEP-ICT: Information and Communication Technologies (1) 2017-11-26
  5. NEP-PAY: Payment Systems and Financial Technology (1) 2017-11-26
  6. NEP-RMG: Risk Management (1) 2010-03-06
  7. NEP-SOC: Social Norms and Social Capital (1) 2017-11-26

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