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Arthur Charpentier

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. Arthur Charpentier & Arthur David & Romuald Elie, 2016. "Optimal Claiming Strategies in Bonus Malus Systems and Implied Markov Chains," Working Papers hal-01326798, HAL.

    Cited by:

    1. Aivars Spilbergs & Andris Fomins & Māris Krastiņš, 2022. "Multivariate Modelling of Motor Third Party Liability Insurance Claims," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 8(1), pages 5-18.
    2. Martinek, László & Arató, N. Miklós, 2019. "An approach to merit rating by means of autoregressive sequences," Insurance: Mathematics and Economics, Elsevier, vol. 85(C), pages 205-217.

  2. Arthur Charpentier & Mathieu Pigeon, 2016. "Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)," Working Papers hal-01280033, HAL.

    Cited by:

    1. Eduardo Ramos-P'erez & Pablo J. Alonso-Gonz'alez & Jos'e Javier N'u~nez-Vel'azquez, 2020. "Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network," Papers 2008.07564, arXiv.org.
    2. Francis Duval & Mathieu Pigeon, 2019. "Individual Loss Reserving Using a Gradient Boosting-Based Approach," Risks, MDPI, vol. 7(3), pages 1-18, July.
    3. Lindholm, Mathias & Verrall, Richard, 2020. "Regression based reserving models and partial information," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 109-124.

  3. Arthur Charpentier & Marilou Durand, 2015. "Modeling earthquake dynamics," Post-Print halshs-01241841, HAL.

    Cited by:

    1. Md. Habibur Rahman & Md. Moyazzem Hossain, 2022. "Distribution of Earthquake Magnitude Levels in Bangladesh," Journal of Geography and Geology, Canadian Center of Science and Education, vol. 11(3), pages 1-15, September.

  4. Arthur Charpentier & Emmanuel Flachaire, 2015. "Log-Transform Kernel Density Estimation of Income Distribution," AMSE Working Papers 1506, Aix-Marseille School of Economics, France.

    Cited by:

    1. Edwin Fourrier-Nicolai & Michel Lubrano, 2021. "Bayesian Inference for Parametric Growth Incidence Curves," Working Papers halshs-03225236, HAL.
    2. Ouimet, Frédéric & Tolosana-Delgado, Raimon, 2022. "Asymptotic properties of Dirichlet kernel density estimators," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
    3. Surya Bhushan, 2021. "Labour Productivity Dynamics in Indian Agriculture: 2000–2016," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(2), pages 371-388, June.
    4. Pierre Lafaye de Micheaux & Frédéric Ouimet, 2021. "A Study of Seven Asymmetric Kernels for the Estimation of Cumulative Distribution Functions," Mathematics, MDPI, vol. 9(20), pages 1-35, October.

  5. Arthur Charpentier & Michel M. Denuit & Romuald Elie, 2015. "Segmentation et mutualisation, les deux faces d'une même pièce?," Post-Print halshs-01242561, HAL.

    Cited by:

    1. Antonio José Heras Martínez & David Teira & Pierre-Charles Pradier, 2016. "What was fair in acturial fairness?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01400213, HAL.

  6. Arthur Charpentier, 2015. "Prévision avec des copules en finance," Working Papers hal-01151233, HAL.

    Cited by:

    1. Johan Dahlin & Mattias Villani & Thomas B. Schon, 2015. "Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods," Papers 1506.06975, arXiv.org, revised Jun 2017.
    2. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.

  7. Marco T. Bastos & Dan Mercea & Arthur Charpentier, 2015. "Tents, Tweets, and Events: The Interplay Between Ongoing Protests and Social Media," Post-Print halshs-01241882, HAL.

    Cited by:

    1. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
    2. Simplice A. Asongu & Stella-Maris I. Orim & Rexon T. Nting, 2019. "Terrorism and Social Media: Global Evidence," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 22(3), pages 208-228, July.
    3. Pedro Ramaciotti Morales & Jean-Philippe Cointet & Caterina Froio, 2022. "Posters and protesters," Journal of Computational Social Science, Springer, vol. 5(2), pages 1129-1157, November.

  8. Gery Geenens & Arthur Charpentier & Davy Paindaveine, 2014. "Probit Transformation for Nonparametric Kernel Estimation of the Copula Density," Working Papers ECARES ECARES 2014-23, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Zhang, Yifei & Goodwin, Barry K., 2020. "Implications of U.S. Crop Insurance -- A Perspective from Copulas," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304343, Agricultural and Applied Economics Association.
    2. Gery Geenens & Richard Dunn, 2017. "A nonparametric copula approach to conditional Value-at-Risk," Papers 1712.05527, arXiv.org, revised Oct 2019.
    3. Olivier Cabrignac & Arthur Charpentier & Ewen Gallic, 2020. "Modeling Joint Lives within Families," AMSE Working Papers 2021, Aix-Marseille School of Economics, France.
    4. Rodrigues, G.S. & Nott, David J. & Sisson, S.A., 2016. "Functional regression approximate Bayesian computation for Gaussian process density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 229-241.
    5. De Backer, Mickael & El Ghouch, Anouar & Van Keilegom, Ingrid, 2016. "Semiparametric Copula Quantile Regression for Complete or Censored Data," LIDAM Discussion Papers ISBA 2016009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Nagler, Thomas & Czado, Claudia, 2016. "Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas," Journal of Multivariate Analysis, Elsevier, vol. 151(C), pages 69-89.
    7. Jesús Fajardo & Pedro Harmath, 2021. "Boundary estimation with the fuzzy set density estimator," METRON, Springer;Sapienza Università di Roma, vol. 79(3), pages 285-302, December.
    8. Niemierko, Rochus & Töppel, Jannick & Tränkler, Timm, 2019. "A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data," Applied Energy, Elsevier, vol. 233, pages 691-708.
    9. Tim Janke & Mohamed Ghanmi & Florian Steinke, 2021. "Implicit Generative Copulas," Papers 2109.14567, arXiv.org, revised Nov 2021.
    10. Otneim, Håkon & Tjøstheim, Dag, 2016. "Non-parametric estimation of conditional densities: A new method," Discussion Papers 2016/22, Norwegian School of Economics, Department of Business and Management Science.
    11. Tepegjozova Marija & Zhou Jing & Claeskens Gerda & Czado Claudia, 2022. "Nonparametric C- and D-vine-based quantile regression," Dependence Modeling, De Gruyter, vol. 10(1), pages 1-21, January.
    12. Nagler Thomas & Czado Claudia & Schellhase Christian, 2017. "Nonparametric estimation of simplified vine copula models: comparison of methods," Dependence Modeling, De Gruyter, vol. 5(1), pages 99-120, January.

  9. Arthur Charpentier & Benoît Le Maux, 2014. "Natural catastrophe insurance: How should the government intervene?," Post-Print halshs-01018022, HAL.

    Cited by:

    1. Haitham Nobanee & Fayrouz Aksam Elsaied & Nouf Alhammadi & Noora Wazir, 2023. "Bibliometric analysis and visualization of green, sustainable, and environmental insurance research," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 631-648, December.
    2. Bobtcheff, Catherine & Alary, David & Haritchabalet, Carole, 2020. "Organizing insurance supply for new and undiversifiable risks," CEPR Discussion Papers 15234, C.E.P.R. Discussion Papers.
    3. Ji Yun Lee & Fangjiao Ma & Yue Li, 2022. "Understanding homeowner proactive actions for managing wildfire risks," 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. 114(2), pages 1525-1547, November.
    4. Alexis Louaas & Pierre Picard, 2018. "Optimal insurance coverage of low probability-high severity risks," Working Papers hal-01924408, HAL.
    5. Mary Kelly & Anne Kleffner & Grant Kelly, 2020. "An examination of catastrophes, insurance guaranty funds and contagion risk," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 256-280, April.
    6. Arnaud Goussebaïle, 2016. "Risk prevention in cities prone to natural hazards," Working Papers hal-01358734, HAL.
    7. Debora Zaparova, 2020. "Mutual or stock insurance: Solidarity in the face of insolvency," Working Papers of BETA 2020-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Thomas G. Koch, 2017. "The Shifting Shape of Risk: Endogenous Market Failure for Insurance," Risks, MDPI, vol. 5(1), pages 1-13, January.
    9. Morteza Tavanaie Marvi & Daniël Linders, 2021. "Decomposition of Natural Catastrophe Risks: Insurability Using Parametric CAT Bonds," Risks, MDPI, vol. 9(12), pages 1-19, December.
    10. Alexis Louaas & Pierre Picard, 2020. "Optimal insurance coverage of low-probability catastrophic risks," Working Papers hal-02875534, HAL.
    11. Wu, Yang-Che, 2020. "Equilibrium in natural catastrophe insurance market under disaster-resistant technologies, financial innovations and government interventions," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 116-128.
    12. Clarke,Daniel Jonathan & Wren-Lewis,Liam, 2016. "Solving commitment problems in disaster risk finance," Policy Research Working Paper Series 7720, The World Bank.
    13. Selene Perazzini, 2020. "Public-Private Partnership in the Management of Natural Disasters: A Review," Papers 2006.05845, arXiv.org.
    14. Menna Hassan & Nourhan Sakr & Arthur Charpentier, 2022. "Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach," Papers 2207.01010, arXiv.org.
    15. Arthur Charpentier & Laurence Barry & Molly R. James, 2022. "Insurance against natural catastrophes: balancing actuarial fairness and social solidarity," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 50-78, January.
    16. Selene Perazzini & Giorgio Stefano Gnecco & Fabio Pammolli, 2020. "A Public-Private Insurance Model for Natural Risk Management: an Application to Seismic and Flood Risks on Residential Buildings in Italy," Papers 2006.05840, arXiv.org.

  10. Arthur Charpentier, 2010. "On the return period of the 2003 heat wave," Working Papers hal-00463492, HAL.

    Cited by:

    1. Peter Stott & Nikolaos Christidis & Richard Betts, 2011. "Changing return periods of weather-related impacts: the attribution challenge," Climatic Change, Springer, vol. 109(3), pages 263-268, December.
    2. Yang, Yuchen & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate change and energy performance of European residential building stocks – A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment," Applied Energy, Elsevier, vol. 298(C).
    3. Nik, Vahid M. & Moazami, Amin, 2021. "Using collective intelligence to enhance demand flexibility and climate resilience in urban areas," Applied Energy, Elsevier, vol. 281(C).
    4. E. M. Fischer & U. Beyerle & L. Bloin-Wibe & C. Gessner & V. Humphrey & F. Lehner & A. G. Pendergrass & S. Sippel & J. Zeder & R. Knutti, 2023. "Storylines for unprecedented heatwaves based on ensemble boosting," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

  11. Arthur Charpentier & Benoît Le Maux, 2010. "Natural Catastrophe Insurance: When Should the Government Intervene?," Working Papers hal-00536925, HAL.

    Cited by:

    1. Mary Kelly & Anne Kleffner & Grant Kelly, 2020. "An examination of catastrophes, insurance guaranty funds and contagion risk," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 256-280, April.
    2. Burren, Daniel, 2013. "Insurance demand and welfare-maximizing risk capital—Some hints for the regulator in the case of exponential preferences and exponential claims," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 551-568.

  12. Arthur Charpentier & Christophe Villa, 2010. "Generating Yield Curve Stress-Scenarios," Working Papers hal-00550582, HAL.

    Cited by:

    1. Karimalis, Emmanouil & Kosmidis, Ioannis & Peters, Gareth, 2017. "Multi yield curve stress-testing framework incorporating temporal and cross tenor structural dependencies," Bank of England working papers 655, Bank of England.
    2. Abdymomunov, Azamat & Gerlach, Jeffrey, 2014. "Stress testing interest rate risk exposure," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 287-301.
    3. Johan Hagenbjörk & Jörgen Blomvall, 2019. "Simulation and evaluation of the distribution of interest rate risk," Computational Management Science, Springer, vol. 16(1), pages 297-327, February.

  13. Arthur Charpentier & Stéphane Mussard, 2010. "Income Inequality Games," Working Papers hal-00456573, HAL.

    Cited by:

    1. Cowell, Frank & Fiorio, Carlo V., 2009. "Inequality decomposition: a reconciliation," LSE Research Online Documents on Economics 25431, London School of Economics and Political Science, LSE Library.
    2. Frederic Chantreuil & Kévin Fourrey & Isabelle Lebon & Thérèse Rebière, 2021. "Magnitude and evolution of gender and race contributions to earnings inequality across US regions," Post-Print hal-03245932, HAL.
    3. Elena M. Parilina & Alessandro Tampieri, 2018. "Stability and cooperative solution in stochastic games," Theory and Decision, Springer, vol. 84(4), pages 601-625, June.
    4. Pauline Mornet, 2013. "A program for weakly decomposable inequality measures by population subgroups," Economics Bulletin, AccessEcon, vol. 33(3), pages 1738-1750.
    5. John Creedy & Nicolas Hérault, 2011. "Decomposing Inequality and Social Welfare Changes: The Use of Alternative Welfare Metrics," Melbourne Institute Working Paper Series wp2011n08, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Carlos Gradín, 2021. "Inequality by Population Groups and Income Sources: Accounting for Inequality Changes in Spain During the Recession," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 481-508, June.
    7. Frederic Chantreuil & Kévin Fourrey & Thérèse Rebière & Isabelle Lebon, 2020. "Decomposing US Income Inequality à la Shapley: Race Matters, but Gender Too," Working Papers hal-02552244, HAL.
    8. Palestini, Arsen & Pignataro, Giuseppe, 2016. "A graph-based approach to inequality assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 455(C), pages 65-78.
    9. Carlos Gradín, 2020. "Quantifying the contribution of a subpopulation to inequality an application to Mozambique," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(3), pages 391-419, September.
    10. Ferreira Lima, Luis Cristovao, 2013. "A Persistente Desigualdade nas Grandes Cidades Brasileiras: o Caso de Brasília [The Persistent Inequality in the Great Brazilian Cities: The case of Brasília]," MPRA Paper 50936, University Library of Munich, Germany.
    11. Pim Verbunt & Anne-Catherine Guio, 2019. "Explaining Differences Within and Between Countries in the Risk of Income Poverty and Severe Material Deprivation: Comparing Single and Multilevel Analyses," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 827-868, July.
    12. Stéphane Mussard & Françoise Seyte & Michel Terraza, 2006. "La décomposition de l’indicateur de Gini en sous-groupes : une revue de la littérature," Cahiers de recherche 06-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    13. A. Palestini & G. Pignataro, 2013. "A multi-factor inequality approach to a transfer scheme: the case of Common Agricultural Policy," Working Papers wp891, Dipartimento Scienze Economiche, Universita' di Bologna.
    14. Ogwang Tomson, 2016. "The Marginal Effects in Subgroup Decomposition of the Gini Index," Journal of Official Statistics, Sciendo, vol. 32(3), pages 733-745, September.
    15. Yawo Agbényég Noglo, 2014. "Monetary Inequality Among Households in Togo: An Illustration Based on the Decomposition of the Gini Coefficient Using the Shapley Value Approach," WIDER Working Paper Series wp-2014-151, World Institute for Development Economic Research (UNU-WIDER).
    16. Joseph Deutsch & María Noel Pi Alperin & Jacques Silber, 2018. "Using the Shapley Decomposition to Disentangle the Impact of Circumstances and Efforts on Health Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 523-543, July.
    17. Ferreira Lima, Luis Cristovao, 2013. "The Persistent Inequality in the Great Brazilian Cities: The Case of Brasília," MPRA Paper 50938, University Library of Munich, Germany.

  14. Arthur Charpentier & Abder Oulidi, 2010. "Beta kernel quantile estimators of heavy-tailed loss distributions," Post-Print halshs-00425566, HAL.

    Cited by:

    1. Ouimet, Frédéric & Tolosana-Delgado, Raimon, 2022. "Asymptotic properties of Dirichlet kernel density estimators," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
    2. Charpentier, Arthur & Flachaire, Emmanuel, 2015. "Log-Transform Kernel Density Estimation Of Income Distribution," L'Actualité Economique, Société Canadienne de Science Economique, vol. 91(1-2), pages 141-159, Mars-Juin.
    3. Antoine J.‐P. Tixier & Matthew R. Hallowell & Balaji Rajagopalan, 2017. "Construction Safety Risk Modeling and Simulation," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1917-1935, October.
    4. Rocco Roberto Cerchiara & Francesco Acri, 2020. "Estimating the Volatility of Non-Life Premium Risk Under Solvency II: Discussion of Danish Fire Insurance Data," Risks, MDPI, vol. 8(3), pages 1-19, July.
    5. Hussein Khraibani & Bilal Nehme & Olivier Strauss, 2018. "Interval Estimation of Value-at-Risk Based on Nonparametric Models," Econometrics, MDPI, vol. 6(4), pages 1-30, December.
    6. Rocco Roberto Cerchiara & Francesco Acri, 2016. "Aggregate Loss Distribution And Dependence: Composite Models, Copula Functions And Fast Fourier Transform For The Danish Re Insurance Data," Working Papers 201608, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    7. Yogendra P. Chaubey & Isha Dewan & Jun Li, 2021. "On Some Smooth Estimators of the Quantile Function for a Stationary Associated Process," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 114-139, May.

  15. Arthur Charpentier & Abder Oulidi, 2009. "Estimating allocations for Value-at-Risk portfolio optimization," Post-Print halshs-00347250, HAL.

    Cited by:

    1. Matthieu Chauvigny & Laurent Devineau & Stéphane Loisel & Véronique Maume-Deschamps, 2011. "Fast remote but not extreme quantiles with multiple factors. Applications to Solvency II and Enterprise Risk Management," Post-Print hal-00517766, HAL.
    2. Alonso-Ayuso, Antonio & Carvallo, Felipe & Escudero, Laureano F. & Guignard, Monique & Pi, Jiaxing & Puranmalka, Raghav & Weintraub, Andrés, 2014. "Medium range optimization of copper extraction planning under uncertainty in future copper prices," European Journal of Operational Research, Elsevier, vol. 233(3), pages 711-726.
    3. Lwin, Khin T. & Qu, Rong & MacCarthy, Bart L., 2017. "Mean-VaR portfolio optimization: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 260(2), pages 751-766.

  16. Arthur Charpentier, 2008. "Pricing catastrophe options in incomplete markets," Post-Print halshs-00481185, HAL.

    Cited by:

    1. Gunther Leobacher & Philip Ngare, 2014. "Utility indifference pricing of derivatives written on industrial loss indexes," Papers 1404.0879, arXiv.org.

  17. Arthur Charpentier, 2008. "Insurability of climate risks," Post-Print halshs-00347254, HAL.

    Cited by:

    1. Arthur Charpentier & Benoît Le Maux, 2014. "Natural catastrophe insurance: How should the government intervene?," Post-Print halshs-01018022, HAL.
    2. Andrea Hauser & Carlos Rosa & Rui Esteves & Alexandra Moura & Carlos Oliveira, 2021. "Building a hurricane risk map for continental Portugal based on loss data from hurricane Leslie," Working Papers REM 2021/0209, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    3. Roger Fouquet (ed.), 2013. "Handbook on Energy and Climate Change," Books, Edward Elgar Publishing, number 14429.
    4. John Whalley & Yufei Yuan, 2013. "Global Financial Structure and Climate Change," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    5. Surminski, Swenja, 2014. "The role of insurance in reducing direct risk: the case of flood insurance," LSE Research Online Documents on Economics 60764, London School of Economics and Political Science, LSE Library.
    6. Daniel Kouloukoui & Ângelo Marcio Oliveira Sant'Anna & Sônia Maria da Silva Gomes & Marcia Mara de Oliveira Marinho & Pieter de Jong & Asher Kiperstok & Ednildo Andrade Torres, 2019. "Factors influencing the level of environmental disclosures in sustainability reports: Case of climate risk disclosure by Brazilian companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(4), pages 791-804, July.
    7. Amanda Savitt, 2017. "Insurance as a tool for hazard risk management? An evaluation of the literature," 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. 86(2), pages 583-599, March.
    8. Susannah Fisher & Swenja Surminski, 2012. "The roles of public and private actors in the governance of adaptation: the case of agricultural insurance in India," GRI Working Papers 89, Grantham Research Institute on Climate Change and the Environment.
    9. Brian Walker & Anne-Sophie Crépin & Magnus Nyström & John M. Anderies & Erik Andersson & Thomas Elmqvist & Cibele Queiroz & Scott Barrett & Elena Bennett & Juan Camilo Cardenas & Stephen R. Carpenter , 2023. "Response diversity as a sustainability strategy," Nature Sustainability, Nature, vol. 6(6), pages 621-629, June.
    10. Fisher, Susannah & Surminski, Swenja, 2012. "The roles of public and private actors in the governance of adaptation: the case of agricultural insurance in India," LSE Research Online Documents on Economics 46400, London School of Economics and Political Science, LSE Library.
    11. Leigh Johnson, 2014. "Geographies of Securitized Catastrophe Risk and the Implications of Climate Change," Economic Geography, Clark University, vol. 90(2), pages 155-185, April.
    12. Jinhong Wan & Ruoxi Li & Wenxin Wang & Zhongmei Liu & Bizhen Chen, 2016. "Income Diversification: A Strategy for Rural Region Risk Management," Sustainability, MDPI, vol. 8(10), pages 1-12, October.
    13. Paul Hudson, 2018. "A comparison of definitions of affordability for flood risk adaption measures: a case study of current and future risk-based flood insurance premiums in Europe," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1019-1038, October.
    14. Swenja Surminski & Delioma Oramas-Dorta, 2013. "Do flood insurance schemes in developing countries provide incentives to reduce physical risks?," GRI Working Papers 119, Grantham Research Institute on Climate Change and the Environment.
    15. Massimo Arnone & Michele Leonardo Bianchi & Anna Grazia Quaranta & Gian Luca Tassinari, 2021. "Catastrophic risks and the pricing of catastrophe equity put options," Computational Management Science, Springer, vol. 18(2), pages 213-237, June.
    16. Arthur Charpentier & Molly James & Hani Ali, 2021. "Predicting Drought and Subsidence Risks in France," Papers 2107.07668, arXiv.org.
    17. Helmut Gründl & Danjela Guxha & Anastasia Kartasheva & Hato Schmeiser, 2021. "Insurability of pandemic risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(4), pages 863-902, December.
    18. Grislain-Letrémy, Céline, 2012. "Assurance et prévention des catastrophes naturelles et technologiques," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/9073 edited by Villeneuve, Bertrand.
    19. Erwann Michel-Kerjan, 2013. "Finance des risques catastrophiques. Le marché américain est en plein bouleversement," Revue économique, Presses de Sciences-Po, vol. 64(4), pages 615-634.
    20. Paul Hudson & Annegret H. Thieken, 2022. "The presence of moral hazard regarding flood insurance and German private businesses," 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. 112(2), pages 1295-1319, June.
    21. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    22. Surminski, Swenja & Oramas-Dorta, Delioma, 2013. "Flood insurance schemes and climate adaptation in developing countries," LSE Research Online Documents on Economics 66294, London School of Economics and Political Science, LSE Library.
    23. Surminski, Swenja & Eldridge, Jillian, 2015. "Flood insurance in England: an assessment of the current and newly proposed insurance scheme in the context of rising flood risk," LSE Research Online Documents on Economics 66256, London School of Economics and Political Science, LSE Library.
    24. Mohor, Guilherme Samprogna & Mendiondo, Eduardo Mario, 2017. "Economic indicators of hydrologic drought insurance under water demand and climate change scenarios in a Brazilian context," Ecological Economics, Elsevier, vol. 140(C), pages 66-78.
    25. Roger Fouquet, 2013. "Low-carbon economy: dark age or golden age?," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 32, pages 682-708, Edward Elgar Publishing.
    26. Swenja Surminski & Paul Hudson & Jeroen Aerts & Wouter Botzen & M.Conceição Colaço & Florence Crick & Jill Eldridge & Anna Lorant & António Macedo & Reinhard Mechler & Carlos Neto & Robin Nicolai & Di, 2015. "Novel and improved insurance instruments for risk reduction," GRI Working Papers 188, Grantham Research Institute on Climate Change and the Environment.
    27. Arthur Charpentier & Laurence Barry & Molly R. James, 2022. "Insurance against natural catastrophes: balancing actuarial fairness and social solidarity," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 50-78, January.
    28. Hao Guo & Xingming Zhang & Fang Lian & Yuan Gao & Degen Lin & Jing’ai Wang, 2016. "Drought Risk Assessment Based on Vulnerability Surfaces: A Case Study of Maize," Sustainability, MDPI, vol. 8(8), pages 1-22, August.
    29. Donatella Porrini & Reimund Schwarze, 2014. "Insurance models and European climate change policies: an assessment," European Journal of Law and Economics, Springer, vol. 38(1), pages 7-28, August.
    30. E. Keskitalo & Gregor Vulturius & Peter Scholten, 2014. "Adaptation to climate change in the insurance sector: examples from the UK, Germany and the Netherlands," 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. 71(1), pages 315-334, March.
    31. Swenja Surminski & Jillian Eldridge, 2014. "Flood insurance in England � an assessment of the current and newly proposed insurance scheme in the context of rising flood risk," GRI Working Papers 144, Grantham Research Institute on Climate Change and the Environment.

  18. Arthur Charpentier & Johan Segers, 2008. "Tails of multivariate archimedean copulas," Post-Print halshs-00325984, HAL.

    Cited by:

    1. Elena Di Bernardino & Didier Rullière, 2017. "A note on upper-patched generators for Archimedean copulas," Post-Print hal-01347869, HAL.
    2. Holger Drees, 2012. "Extreme value analysis of actuarial risks: estimation and model validation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(2), pages 225-264, June.
    3. Hashorva, Enkelejd, 2015. "Extremes of aggregated Dirichlet risks," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 334-345.
    4. Balakrishnan, N. & Hashorva, E., 2011. "On Pearson-Kotz Dirichlet distributions," Journal of Multivariate Analysis, Elsevier, vol. 102(5), pages 948-957, May.
    5. Charpentier, Arthur & Mussard, Stéphane & Ouraga, Téa, 2021. "Principal component analysis: A generalized Gini approach," European Journal of Operational Research, Elsevier, vol. 294(1), pages 236-249.
    6. Kurowicka, Dorota & van Horssen, Wim T., 2015. "On an interaction function for copulas," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 127-142.
    7. Bernardi, M. & Durante, F. & Jaworski, P., 2017. "CoVaR of families of copulas," Statistics & Probability Letters, Elsevier, vol. 120(C), pages 8-17.
    8. Michael Falk & Florian Wisheckel, 2018. "Multivariate Order Statistics: the Intermediate Case," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 110-120, February.
    9. Jaworski Piotr, 2017. "On Truncation Invariant Copulas and their Estimation," Dependence Modeling, De Gruyter, vol. 5(1), pages 133-144, January.
    10. Stefan Aulbach & Michael Falk & Timo Fuller, 2019. "Testing for a $$\delta $$ δ -neighborhood of a generalized Pareto copula," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(3), pages 599-626, June.
    11. Véronique Maume-Deschamps & Didier Rullière & Khalil Said, 2018. "Asymptotic Multivariate Expectiles," Working Papers hal-01509963, HAL.
    12. Genest Christian & Mesfioui Mhamed & Nešlehová Johanna G., 2019. "On the asymptotic covariance of the multivariate empirical copula process," Dependence Modeling, De Gruyter, vol. 7(1), pages 279-291, January.
    13. Hua, Lei & Joe, Harry, 2011. "Tail order and intermediate tail dependence of multivariate copulas," Journal of Multivariate Analysis, Elsevier, vol. 102(10), pages 1454-1471, November.
    14. Li, Jinzhu, 2022. "Asymptotic analysis of a dynamic systemic risk measure in a renewal risk model," Insurance: Mathematics and Economics, Elsevier, vol. 107(C), pages 38-56.
    15. Hua, Lei, 2015. "Tail negative dependence and its applications for aggregate loss modeling," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 135-145.
    16. Xie, Jiehua & Lin, Feng & Yang, Jingping, 2017. "On a generalization of Archimedean copula family," Statistics & Probability Letters, Elsevier, vol. 125(C), pages 121-129.
    17. Asimit, Alexandru V. & Furman, Edward & Tang, Qihe & Vernic, Raluca, 2011. "Asymptotics for risk capital allocations based on Conditional Tail Expectation," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 310-324.
    18. Okhrin Ostap & Okhrin Yarema & Schmid Wolfgang, 2013. "Properties of hierarchical Archimedean copulas," Statistics & Risk Modeling, De Gruyter, vol. 30(1), pages 21-54, March.
    19. Mai Jan-Frederik, 2014. "A note on the Galambos copula and its associated Bernstein function," Dependence Modeling, De Gruyter, vol. 2(1), pages 1-8, March.
    20. Jaworski, Piotr, 2015. "Univariate conditioning of vine copulas," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 89-103.
    21. Belzile, Léo R. & Nešlehová, Johanna G., 2017. "Extremal attractors of Liouville copulas," Journal of Multivariate Analysis, Elsevier, vol. 160(C), pages 68-92.
    22. Hashorva, Enkelejd & Pakes, Anthony G. & Tang, Qihe, 2010. "Asymptotics of random contractions," Insurance: Mathematics and Economics, Elsevier, vol. 47(3), pages 405-414, December.
    23. Weng, Chengguo & Zhang, Yi, 2012. "Characterization of multivariate heavy-tailed distribution families via copula," Journal of Multivariate Analysis, Elsevier, vol. 106(C), pages 178-186.
    24. Li, Haijun & Wu, Peiling, 2013. "Extremal dependence of copulas: A tail density approach," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 99-111.
    25. Bikramjit Das & Vicky Fasen-Hartmann, 2023. "Aggregating heavy-tailed random vectors: from finite sums to L\'evy processes," Papers 2301.10423, arXiv.org.
    26. Das Bikramjit & Fasen-Hartmann Vicky, 2019. "Conditional excess risk measures and multivariate regular variation," Statistics & Risk Modeling, De Gruyter, vol. 36(1-4), pages 1-23, December.
    27. Fontanari Andrea & Cirillo Pasquale & Oosterlee Cornelis W., 2020. "Lorenz-generated bivariate Archimedean copulas," Dependence Modeling, De Gruyter, vol. 8(1), pages 186-209, January.
    28. Jaworski Piotr, 2023. "On copulas with a trapezoid support," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-23, January.
    29. Diakarya Barro & Moumouni Diallo & Remi Guillaume Bagré, 2016. "Spatial Tail Dependence and Survival Stability in a Class of Archimedean Copulas," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2016, pages 1-8, July.
    30. Lars Nørvang Andersen & Patrick J. Laub & Leonardo Rojas-Nandayapa, 2018. "Efficient Simulation for Dependent Rare Events with Applications to Extremes," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 385-409, March.
    31. Su, Jianxi & Hua, Lei, 2017. "A general approach to full-range tail dependence copulas," Insurance: Mathematics and Economics, Elsevier, vol. 77(C), pages 49-64.
    32. Hua, Lei & Joe, Harry, 2011. "Second order regular variation and conditional tail expectation of multiple risks," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 537-546.
    33. Hélène Cossette & Etienne Marceau & Quang Huy Nguyen & Christian Y. Robert, 2019. "Tail Approximations for Sums of Dependent Regularly Varying Random Variables Under Archimedean Copula Models," Methodology and Computing in Applied Probability, Springer, vol. 21(2), pages 461-490, June.
    34. Zhang, Ran & Czado, Claudia & Min, Aleksey, 2011. "Efficient maximum likelihood estimation of copula based meta t-distributions," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1196-1214, March.
    35. Elena Di Bernardino & Didier Rullière, 2016. "On tail dependence coefficients of transformed multivariate Archimedean copulas," Post-Print hal-00992707, HAL.
    36. Jaworski Piotr, 2017. "On Conditional Value at Risk (CoVaR) for tail-dependent copulas," Dependence Modeling, De Gruyter, vol. 5(1), pages 1-19, January.
    37. Constantinescu, Corina & Hashorva, Enkelejd & Ji, Lanpeng, 2011. "Archimedean copulas in finite and infinite dimensions—with application to ruin problems," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 487-495.
    38. Elie, Bouri & Naji, Jalkh & Dutta, Anupam & Uddin, Gazi Salah, 2019. "Gold and crude oil as safe-haven assets for clean energy stock indices: Blended copulas approach," Energy, Elsevier, vol. 178(C), pages 544-553.
    39. Y Hoga, 2018. "A structural break test for extremal dependence in β-mixing random vectors," Biometrika, Biometrika Trust, vol. 105(3), pages 627-643.
    40. Bücher, Axel & Dette, Holger & Volgushev, Stanislav, 2012. "A test for Archimedeanity in bivariate copula models," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 121-132.
    41. MICHIELS, Frederik & DE SCHEPPER, Ann, 2009. "Understanding copula transforms: A review of dependence properties," Working Papers 2009012, University of Antwerp, Faculty of Business and Economics.
    42. MICHIELS, Frederik & KOCH, Inge & DE SCHEPPR, Ann, 2008. "Exploring the ? copula construction method for Archimedean copulas: Discussion of three ? types," Working Papers 2008021, University of Antwerp, Faculty of Business and Economics.
    43. Bücher, Axel & Volgushev, Stanislav & Zou, Nan, 2019. "On second order conditions in the multivariate block maxima and peak over threshold method," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 604-619.
    44. Jan-Frederik Mai & Steffen Schenk & Matthias Scherer, 2017. "Two Novel Characterizations of Self-Decomposability on the Half-Line," Journal of Theoretical Probability, Springer, vol. 30(1), pages 365-383, March.
    45. Bucher, Axel & Segers, Johan, 2013. "Extreme value copula estimation based on block maxima of a multivariate stationary time series," LIDAM Discussion Papers ISBA 2013049, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    46. Hua, Lei, 2017. "On a bivariate copula with both upper and lower full-range tail dependence," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 94-104.
    47. Aulbach, Stefan & Falk, Michael & Hofmann, Martin, 2012. "The multivariate Piecing-Together approach revisited," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 161-170.

  19. Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Discussion Paper 2006-29, Tilburg University, Center for Economic Research.

    Cited by:

    1. Elena Di Bernardino & Didier Rullière, 2017. "A note on upper-patched generators for Archimedean copulas," Post-Print hal-01347869, HAL.
    2. Beare, Brendan K., 2012. "Archimedean Copulas And Temporal Dependence," Econometric Theory, Cambridge University Press, vol. 28(6), pages 1165-1185, December.
    3. Braekers, Roel & Van Keilegom, Ingrid, 2009. "Flexible modeling based on copulas in nonparametric median regression," Journal of Multivariate Analysis, Elsevier, vol. 100(6), pages 1270-1281, July.
    4. Di Bernardino Elena & Rullière Didier, 2013. "On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators," Dependence Modeling, De Gruyter, vol. 1, pages 1-36, October.
    5. Charpentier, Arthur & Segers, Johan, 2008. "Convergence of Archimedean copulas," Statistics & Probability Letters, Elsevier, vol. 78(4), pages 412-419, March.
    6. Di Bernardino, Elena & Maume-Deschamps, Véronique & Prieur, Clémentine, 2013. "Estimating a bivariate tail: A copula based approach," Journal of Multivariate Analysis, Elsevier, vol. 119(C), pages 81-100.
    7. Takaaki Koike & Marius Hofert, 2019. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Papers 1909.11794, arXiv.org, revised May 2020.
    8. Hashorva, Enkelejd & Pakes, Anthony G. & Tang, Qihe, 2010. "Asymptotics of random contractions," Insurance: Mathematics and Economics, Elsevier, vol. 47(3), pages 405-414, December.
    9. Liebscher, Eckhard, 2008. "Construction of asymmetric multivariate copulas," Journal of Multivariate Analysis, Elsevier, vol. 99(10), pages 2234-2250, November.
    10. Hofert, Marius, 2021. "Right-truncated Archimedean and related copulas," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 79-91.
    11. Elena Di Bernardino & Didier Rullière, 2016. "On tail dependence coefficients of transformed multivariate Archimedean copulas," Post-Print hal-00992707, HAL.
    12. Constantinescu, Corina & Hashorva, Enkelejd & Ji, Lanpeng, 2011. "Archimedean copulas in finite and infinite dimensions—with application to ruin problems," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 487-495.
    13. Takaaki Koike & Marius Hofert, 2020. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Risks, MDPI, vol. 8(1), pages 1-33, January.
    14. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).

  20. Charpentier, A. & Segers, J.J.J., 2006. "Convergence of Archimedean Copulas," Discussion Paper 2006-28, Tilburg University, Center for Economic Research.

    Cited by:

    1. Włodzimierz Wysocki, 2015. "Kendall's tau and Spearman's rho for n -dimensional Archimedean copulas and their asymptotic properties," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(4), pages 442-459, December.
    2. Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Discussion Paper 2006-29, Tilburg University, Center for Economic Research.
    3. Wysocki, Włodzimierz, 2012. "Constructing archimedean copulas from diagonal sections," Statistics & Probability Letters, Elsevier, vol. 82(4), pages 818-826.
    4. Christian Genest & Johanna Nešlehová & Johanna Ziegel, 2011. "Inference in multivariate Archimedean copula models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(2), pages 223-256, August.
    5. Wysocki, Włodzimierz, 2013. "When a copula is archimax," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 37-45.
    6. Henryk Zähle, 2022. "A concept of copula robustness and its applications in quantitative risk management," Finance and Stochastics, Springer, vol. 26(4), pages 825-875, October.
    7. Constantinescu, Corina & Hashorva, Enkelejd & Ji, Lanpeng, 2011. "Archimedean copulas in finite and infinite dimensions—with application to ruin problems," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 487-495.
    8. Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Other publications TiSEM ae669e5a-1929-42d9-b137-6, Tilburg University, School of Economics and Management.

  21. Arthur Charpentier & Alessandro Juri, 2004. "Limiting Dependence Structure for Credit Defaults," Working Papers 2004-16, Center for Research in Economics and Statistics.

    Cited by:

    1. Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Discussion Paper 2006-29, Tilburg University, Center for Economic Research.
    2. Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Other publications TiSEM ae669e5a-1929-42d9-b137-6, Tilburg University, School of Economics and Management.

Articles

  1. Arthur Charpentier & Mathieu Pigeon, 2016. "Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)," Risks, MDPI, vol. 4(2), pages 1-18, May.
    See citations under working paper version above.
  2. Charpentier, Arthur & Flachaire, Emmanuel, 2015. "Log-Transform Kernel Density Estimation Of Income Distribution," L'Actualité Economique, Société Canadienne de Science Economique, vol. 91(1-2), pages 141-159, Mars-Juin.
    See citations under working paper version above.
  3. Charpentier, Arthur & Le Maux, Benoît, 2014. "Natural catastrophe insurance: How should the government intervene?," Journal of Public Economics, Elsevier, vol. 115(C), pages 1-17.
    See citations under working paper version above.
  4. Charpentier, A. & Fougères, A.-L. & Genest, C. & Nešlehová, J.G., 2014. "Multivariate Archimax copulas," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 118-136.

    Cited by:

    1. Elisa Perrone & Andreas Rappold & Werner G. Müller, 2017. "$$D_s$$ D s -optimality in copula models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 403-418, August.
    2. Mhalla, Linda & Chavez-Demoulin, Valérie & Naveau, Philippe, 2017. "Non-linear models for extremal dependence," Journal of Multivariate Analysis, Elsevier, vol. 159(C), pages 49-66.
    3. Durante Fabrizio & Sánchez Juan Fernández & Sempi Carlo, 2018. "A note on bivariate Archimax copulas," Dependence Modeling, De Gruyter, vol. 6(1), pages 178-182, October.
    4. Di Bernardino Elena & Rullière Didier, 2016. "On an asymmetric extension of multivariate Archimedean copulas based on quadratic form," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-20, December.
    5. Zhang, Yi & Gomes, António Topa & Beer, Michael & Neumann, Ingo & Nackenhorst, Udo & Kim, Chul-Woo, 2019. "Reliability analysis with consideration of asymmetrically dependent variables: Discussion and application to geotechnical examples," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 261-277.
    6. Mai, Jan-Frederik & Wang, Ruodu, 2021. "Stochastic decomposition for ℓp-norm symmetric survival functions on the positive orthant," Journal of Multivariate Analysis, Elsevier, vol. 184(C).
    7. Hofert, Marius, 2021. "Right-truncated Archimedean and related copulas," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 79-91.
    8. Chaoubi, Ihsan & Cossette, Hélène & Marceau, Etienne & Robert, Christian Y., 2021. "Hierarchical copulas with Archimedean blocks and asymmetric between-block pairs," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    9. Sabrina Mulinacci, 2022. "A Marshall-Olkin Type Multivariate Model with Underlying Dependent Shocks," Methodology and Computing in Applied Probability, Springer, vol. 24(4), pages 2455-2484, December.
    10. Mai Jan-Frederik, 2022. "About the exact simulation of bivariate (reciprocal) Archimax copulas," Dependence Modeling, De Gruyter, vol. 10(1), pages 29-47, January.
    11. Krupskii, Pavel & Joe, Harry & Lee, David & Genton, Marc G., 2018. "Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler–Reiß distribution," Journal of Multivariate Analysis, Elsevier, vol. 163(C), pages 80-95.
    12. Hofert, Marius & Huser, Raphaël & Prasad, Avinash, 2018. "Hierarchical Archimax copulas," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 195-211.
    13. Diakarya Barro & Moumouni Diallo & Remi Guillaume Bagré, 2016. "Spatial Tail Dependence and Survival Stability in a Class of Archimedean Copulas," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2016, pages 1-8, July.
    14. Sabrina Mulinacci, 2017. "A systemic shock model for too big to fail financial institutions," Papers 1704.02160, arXiv.org, revised Apr 2017.
    15. Bücher Axel & Jaser Miriam & Min Aleksey, 2021. "Detecting departures from meta-ellipticity for multivariate stationary time series," Dependence Modeling, De Gruyter, vol. 9(1), pages 121-140, January.
    16. Górecki, Jan & Hofert, Marius & Okhrin, Ostap, 2021. "Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
    17. Bücher, Axel & Volgushev, Stanislav & Zou, Nan, 2019. "On second order conditions in the multivariate block maxima and peak over threshold method," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 604-619.

  5. Arthur Charpentier & Stéphane Mussard, 2011. "Income inequality games," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 529-554, December.
    See citations under working paper version above.
  6. Arthur Charpentier, 2011. "Erratum to: On the return period of the 2003 heat wave," Climatic Change, Springer, vol. 109(3), pages 261-261, December.

    Cited by:

    1. Yang, Yuchen & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate change and energy performance of European residential building stocks – A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment," Applied Energy, Elsevier, vol. 298(C).
    2. Nik, Vahid M. & Moazami, Amin, 2021. "Using collective intelligence to enhance demand flexibility and climate resilience in urban areas," Applied Energy, Elsevier, vol. 281(C).
    3. E. M. Fischer & U. Beyerle & L. Bloin-Wibe & C. Gessner & V. Humphrey & F. Lehner & A. G. Pendergrass & S. Sippel & J. Zeder & R. Knutti, 2023. "Storylines for unprecedented heatwaves based on ensemble boosting," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

  7. Arthur Charpentier, 2011. "On the return period of the 2003 heat wave," Climatic Change, Springer, vol. 109(3), pages 245-260, December.
    See citations under working paper version above.
  8. Arthur Charpentier & Abder Oulidi, 2009. "Estimating allocations for Value-at-Risk portfolio optimization," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 395-410, July.
    See citations under working paper version above.
  9. Charpentier, Arthur & Segers, Johan, 2009. "Tails of multivariate Archimedean copulas," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1521-1537, August.
    See citations under working paper version above.
  10. Charpentier, Arthur & Segers, Johan, 2008. "Convergence of Archimedean copulas," Statistics & Probability Letters, Elsevier, vol. 78(4), pages 412-419, March.
    See citations under working paper version above.
  11. Arthur Charpentier, 2008. "Insurability of Climate Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 33(1), pages 91-109, January.
    See citations under working paper version above.
  12. Charpentier, Arthur & Segers, Johan, 2007. "Lower tail dependence for Archimedean copulas: Characterizations and pitfalls," Insurance: Mathematics and Economics, Elsevier, vol. 40(3), pages 525-532, May.
    See citations under working paper version above.
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