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Rustam Ibragimov

Citations

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Working papers

  1. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.

    Cited by:

    1. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.

  2. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.

    Cited by:

    1. Neil Shephard, 2020. "An estimator for predictive regression: reliable inference for financial economics," Papers 2008.06130, arXiv.org.
    2. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    3. Mijung Choi & Jihyun Kim & Nuong Nguyen, 2025. "Nonparametric Continuous Time Regressions with Functional Coefficients," Korean Economic Review, Korean Economic Association, vol. 41, pages 141-174.

  3. Rustam Ibragimov & Rasmus Pedersen & Anton Skrobotov, 2020. "New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence," Papers 2006.01212, arXiv.org, revised Nov 2023.

    Cited by:

    1. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.

  4. Ibragimov, Rustam & Mo, Jingyuan & Prokhorov, Artem, 2015. "Fat tails and copulas: limits of diversification revisited," Working Papers 2015-06, University of Sydney Business School, Discipline of Business Analytics.

    Cited by:

    1. Banciu, M. & Ødegaard, F., 2016. "Optimal product bundling with dependent valuations: The price of independence," European Journal of Operational Research, Elsevier, vol. 255(2), pages 481-495.
    2. Pedro Antonio Martín Cervantes & Salvador Cruz Rambaud & María del Carmen Valls Martínez, 2020. "An Application of the SRA Copulas Approach to Price-Volume Research," Mathematics, MDPI, vol. 8(11), pages 1-28, October.

  5. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.

    Cited by:

    1. Marat Ibragimov & Rustam Ibragimov, 2018. "Heavy tails and upper-tail inequality: The case of Russia," Empirical Economics, Springer, vol. 54(2), pages 823-837, March.
    2. T. M. Maleva & M. A. Kartseva & P. O. Kuznetsova & A. A. Salmina, 2021. "Does the Application of Alternative Methods Change the Pattern of Regional Inequality in Russia?," Regional Research of Russia, Springer, vol. 11(1), pages 18-28, January.

  6. Rustam Ibragimov & Marat Ibragimov & Rufat Khamidov, 2010. "Measuring Inequality in CIS Countries: Theory and Empirics," wiiw Balkan Observatory Working Papers 88, The Vienna Institute for International Economic Studies, wiiw.

    Cited by:

    1. João Nicolau & Paulo M. M. Rodrigues, 2019. "A New Regression-Based Tail Index Estimator," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 667-680, October.
    2. Marat Ibragimov & Rustam Ibragimov, 2018. "Heavy tails and upper-tail inequality: The case of Russia," Empirical Economics, Springer, vol. 54(2), pages 823-837, March.
    3. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.

  7. Ibragimov, Rustam, 2008. "Heavy-tailedness and Threshold Sex Determination," Scholarly Articles 2623659, Harvard University Department of Economics.

    Cited by:

    1. Jin, Hao & Tian, Zheng & Qin, Ruibing, 2009. "Bootstrap tests for structural change with infinite variance observations," Statistics & Probability Letters, Elsevier, vol. 79(19), pages 1985-1995, October.

  8. Walden, Johan & Ibragimov, Rustam, 2008. "Portfolio Diversification under Local and Moderate Deviations from Power Laws," Scholarly Articles 2640586, Harvard University Department of Economics.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Zhou, Chen, 2010. "Dependence structure of risk factors and diversification effects," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 531-540, June.
    3. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    4. Valérie Chavez-Demoulin & Paul Embrechts & Marius Hofert, 2016. "An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 735-776, September.
    5. Kyle Moore & Pengfei Sun & Casper de Vries & Chen Zhou, 2013. "Shape Homogeneity and Scale Heterogeneity of Downside Tail Risk," Working Papers 13-13, Chapman University, Economic Science Institute.
    6. Tong, Bin & Wu, Chongfeng & Xu, Weidong, 2012. "Risk concentration of aggregated dependent risks: The second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 139-149.
    7. Michael Grabchak, 2014. "Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?," Annals of Finance, Springer, vol. 10(4), pages 553-568, November.
    8. Embrechts, Paul & Puccetti, Giovanni, 2010. "Bounds for the sum of dependent risks having overlapping marginals," Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 177-190, January.
    9. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
    10. Moore, Kyle & Sun, Pengfei & de Vries, Casper G. & Zhou, Chen, 2013. "The cross-section of tail risks in stock returns," MPRA Paper 45592, University Library of Munich, Germany.
    11. Moore, Kyle & Sun, Pengei & de Vries, Casper G. & Zhou, Chen, 2013. "The drivers of downside equity tail risk," MPRA Paper 45591, University Library of Munich, Germany.

  9. Ibragimov, Rustam & Ibragimov, Marat, 2007. "Market Demand Elasticity and Income Inequality," Scholarly Articles 2623728, Harvard University Department of Economics.

    Cited by:

    1. C. Benassi & E. Randon, 2015. "Optimal Commodity Taxation and Income Distribution," Working Papers wp1001, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Jihui Chen & Maochao Xu, 2015. "Asymmetry and revenue in second-price auctions: a majorization approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 625-640, July.
    3. Hennessy, David A. & Lapan, Harvey E., 2009. "Harmonic symmetries of imperfect competition on circular city," Journal of Mathematical Economics, Elsevier, vol. 45(1-2), pages 124-146, January.
    4. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.
    5. Rustam Ibragimov & Marat Ibragimov & Rufat Khamidov, 2010. "Measuring Inequality in CIS Countries: Theory and Empirics," wiiw Balkan Observatory Working Papers 88, The Vienna Institute for International Economic Studies, wiiw.
    6. Marat Ibragimov & Rustam Ibragimov & Paul Kattuman & Jun Ma, 2018. "Income inequality and price elasticity of market demand: the case of crossing Lorenz curves," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 729-750, May.

  10. Xavier Gabaix & Rustam Ibragimov, 2007. "Rank-1/2: A Simple Way to Improve the OLS Estimation of Tail Exponents," NBER Technical Working Papers 0342, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ch, Rafael & Martin, Diego A. & Vargas, Juan F., 2021. "Measuring the size and growth of cities using nighttime light," Journal of Urban Economics, Elsevier, vol. 125(C).
    2. M. Modica & A. Reggiani & P. Nijkamp, 2015. "A Comparative Analysis of Gibrat s and Zipf s Law on Urban Population," Working Papers wp1008, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Post-Print hal-01994353, HAL.
    4. Lustig, Hanno & Syverson, Chad & Van Nieuwerburgh, Stijn, 2011. "Technological change and the growing inequality in managerial compensation," Journal of Financial Economics, Elsevier, vol. 99(3), pages 601-627, March.
    5. Advani, Arun & Bangham, George & Leslie, Jack, 2021. "The UK's wealth distribution and characteristics of high-wealth households," CAGE Online Working Paper Series 576, Competitive Advantage in the Global Economy (CAGE).
    6. Ghinami, Francesca, 2023. "Effects of remote work on population distribution across cities: US evidence from a QSE model," SocArXiv krnzq, Center for Open Science.
    7. Tomoya Mori, 2017. "Evolution of the Size and Industrial Structure of Cities in Japan between 1980 and 2010: Constant Churning and Persistent Regularity," Asian Development Review, MIT Press, vol. 34(2), pages 86-113, September.
    8. Rafael, González-Val, 2017. "Historical urban growth in Europe (1300–1800)," MPRA Paper 80475, University Library of Munich, Germany.
    9. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    10. Winkelried, Diego & Escobar, Bruno, 2020. "Declining inequality in Latin America? Robustness checks for Peru," MPRA Paper 106566, University Library of Munich, Germany.
    11. Michel DIMOU & Alexandra SCHAFFAR & Zhihong CHEN & Shihe FU, 2008. "LA CROISSANCE URBAINE CHINOISE RECONSIDeReE," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 109-131.
    12. Bosker, Maarten & Brakman, Steven & Garretsen, Harry & Schramm, Marc, 2008. "A century of shocks: The evolution of the German city size distribution 1925-1999," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 330-347, July.
    13. Joachim Wagner, 2012. "The Microstructure of the Great Export Collapse in German Manufacturing Industries, 2008/2009," Working Paper Series in Economics 233, University of Lüneburg, Institute of Economics.
    14. P. Nijkamp & A. Reggiani, 2012. "Did Zipf Anticipate Socio-Economic Spatial Networks?," Working Papers wp816, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Clémentine Cottineau, 2022. "What do analyses of city size distributions have in common?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1439-1463, March.
    16. Hernán D. Rozenfeld & Diego Rybski & Xavier Gabaix & Hernán A. Makse, 2011. "The Area and Population of Cities: New Insights from a Different Perspective on Cities," American Economic Review, American Economic Association, vol. 101(5), pages 2205-2225, August.
    17. Rafael González-Val & Javier Silvestre, 2020. "An annual estimate of spatially disaggregated populations: Spain, 1900–2011," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 491-508, October.
    18. Michael P Cameron, 2022. "Zipf's Law across social media," Working Papers in Economics 22/07, University of Waikato.
    19. Qingnan Xie & Richard B. Freeman, 2020. "The Contribution of Chinese Diaspora Researchers to Global Science and China's Catching Up in Scientific Research," NBER Working Papers 27169, National Bureau of Economic Research, Inc.
    20. Juan Lucio & Raúl Mínguez & Asier Minondo & Francisco Requena, 2017. "The granularity of Spanish exports," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 8(3), pages 225-259, August.
    21. Churen Sun & Guoqiang Tian & Tao Zhang, 2013. "Special Issue. Guest Editor: Zhihao Yu," Review of Development Economics, Wiley Blackwell, vol. 17(3), pages 494-509, August.
    22. Irena Mikolajun & Jean-Marie Viaene, 2015. "Trade, Factor Mobility and the Extent of Economic Integration: Theory and Evidence," Tinbergen Institute Discussion Papers 15-096/VI, Tinbergen Institute.
    23. Ronan Lyons & Elisa Maria Tirindelli, 2022. "The Rise & Fall of Urban Concentration in Britain: Zipf, Gibrat and Gini across two centuries," Trinity Economics Papers tep0522, Trinity College Dublin, Department of Economics.
    24. Moon, Yoon Sang, 2020. "Market Access Approach to Urban Growth," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 42(3), pages 1-32.
    25. Jozef Barunik & Lukas Vacha, 2012. "Monte Carlo-based tail exponent estimator," Papers 1201.4781, arXiv.org.
    26. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2017. "Where Gibrat meets Zipf: Scale and scope of French firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 265-275.
    27. Wagner, Joachim, 2012. "The granular nature of the great export collapse in German manufacturing industries, 2008/2009," Economics Discussion Papers 2012-50, Kiel Institute for the World Economy.
    28. Valente J. Matlaba & Mark J. Holmes & Philip McCann & Jacques Poot, 2013. "A Century Of The Evolution Of The Urban System In Brazil," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 129-151, November.
    29. Pasquale Cirillo, 2013. "Are your data really Pareto distributed?," Papers 1306.0100, arXiv.org.
    30. Podobnik, Boris & Dabić, Marina & Wild, Dorian & Di Matteo, Tiziana, 2023. "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets," Technology in Society, Elsevier, vol. 72(C).
    31. Ozden, Caglar & Parsons, Christopher, 2014. "On the Economic Geography of International Migration," IZA Discussion Papers 8747, Institute of Labor Economics (IZA).
    32. Martijn Burger & Evert Meijers, 2012. "Form Follows Function? Linking Morphological and Functional Polycentricity," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1127-1149, April.
    33. Fernholz, Ricardo T. & Koch, Christoffer, 2021. "The rise of big U.S. banks and the fall of big European banks: A statistical decomposition," European Economic Review, Elsevier, vol. 135(C).
    34. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.
    35. Schmidheiny, Kurt & Suedekum, Jens, 2015. "The Pan-European Population Distribution Across Consistently Defined Functional Urban Areas," IZA Discussion Papers 9020, Institute of Labor Economics (IZA).
    36. Karlsson, Martin & Wang, Yulong & Ziebarth, Nicolas R., 2023. "Getting the Right Tail Right: Modeling tails of health expenditure distributions," ZEW Discussion Papers 23-045, ZEW - Leibniz Centre for European Economic Research.
    37. Hasan Engin Duran, 2025. "The future of urban hierearchy and Zipf law: ARIMA and BATS forecasting," Letters in Spatial and Resource Sciences, Springer, vol. 18(1), pages 1-14, December.
    38. Gabaix, Xavier, 2016. "Power Laws in Economics: An Introduction," Scholarly Articles 34651705, Harvard University Department of Economics.
    39. Bluhm, Richard & Krause, Melanie, 2018. "Top Lights: Bright cities and their contribution to economic development," MERIT Working Papers 2018-041, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    40. Ibragimov, Rustam, 2008. "Heavy-tailedness and Threshold Sex Determination," Scholarly Articles 2623659, Harvard University Department of Economics.
    41. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
    42. Viladecans-Marsal, Elisabet & Garcia-Lopez, Miquel-Angel & Arribas-Bel, Daniel, 2020. "Building(s and) cities: Delineating urban areas with a machine learning algorithm," CEPR Discussion Papers 14450, C.E.P.R. Discussion Papers.
    43. Gerson Javier Pérez V & Adolfo Meisel Roca, 2013. "Ley de Zipf y de Gibrat para Colombia y sus regiones: 1835-2005," Documentos de trabajo sobre Economía Regional y Urbana 192, Banco de la Republica de Colombia.
    44. Gojko Barjamovic & Thomas Chaney & Kerem Coşar & Ali Hortaçsu, 2019. "Trade, Merchants, and the Lost Cities of the Bronze Age," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1455-1503.
    45. Arshad, Sidra & Hu, Shougeng & Ashraf, Badar Nadeem, 2019. "Zipf’s law, the coherence of the urban system and city size distribution: Evidence from Pakistan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 87-103.
    46. Freund, Caroline & Pierola, Martha Denisse, 2012. "Export superstars," Policy Research Working Paper Series 6222, The World Bank.
    47. Chakraborty, Robin & Kavonius, Ilja Kristian & Pérez-Duarte, Sébastien & Vermeulen, Philip, 2018. "Is the top tail of the wealth distribution the missing link between the Household Finance and Consumption Survey and national accounts?," Working Paper Series 2187, European Central Bank.
    48. Ogwang, Tomson, 2013. "Is the wealth of the world’s billionaires Paretian?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 757-762.
    49. Rafael Wildauer & Jakob Kapeller, 2020. "A comment on fitting Pareto tails to complex survey data," Working Papers PKWP2001, Post Keynesian Economics Society (PKES).
    50. Sun, Churen & Tian, Guoqiang & Zhang, Tao, 2011. "When Pareto meets Melitz: the inapplicability of the Melitz-Pareto model for Chinese firms," MPRA Paper 35597, University Library of Munich, Germany.
    51. González-Val, Rafael, 2020. "The Spanish spatial city size distribution," MPRA Paper 101195, University Library of Munich, Germany.
    52. Zhihong Chen & Shihe Fu & Dayong Zhang, 2013. "Searching for the Parallel Growth of Cities in China," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2118-2135, August.
    53. D. Kh. Krasnoselskaya & V. M. Timiryanova, 2024. "Assessment of Regional Polycentricity of the Settlement Pattern: Analysis of Modern Methods Based on Russian Data," Regional Research of Russia, Springer, vol. 14(2), pages 194-212, June.
    54. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    55. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
    56. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    57. Marie-Pierre de Bellefon & Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon & Clément Gorin, 2019. "Delineating urban areas using building density," Working Papers 1931, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    58. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    59. Jonathan Eaton & Samuel Kortum & Francis Kramarz, 2008. "An Anatomy of International Trade: Evidence from French Firms," NBER Working Papers 14610, National Bureau of Economic Research, Inc.
    60. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2017. "Price rigidities and the granular origins of aggregate fluctuations," Working Paper Series 2102, European Central Bank.
    61. Fernando Rubiera-Morollón & Ignacio del Rosal & Alberto Díaz-Dapena, 2015. "Can large cities explain the aggregate movements of economies? Testing the ‘granular hypothesis’ for US counties," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 109-118, July.
    62. Chen, Yuyu & Embrechts, Paul & Wang, Ruodu, 2025. "Risk exchange under infinite-mean Pareto models," Insurance: Mathematics and Economics, Elsevier, vol. 124(C).
    63. Behrens, Kristian & Mion, Giordano & Murata, Yasusada & Suedekum, Jens, 2013. "Spatial Frictions," IZA Discussion Papers 7175, Institute of Labor Economics (IZA).
    64. Chen, Yi-Fan & Hsu, Wen-Tai & Peng, Shin-Kun, 2023. "Innovation, firm size distribution, and gains from trade," Theoretical Economics, Econometric Society, vol. 18(1), January.
    65. Neri--Lainé,Matteo & Orefice,Gianluca & Ruta,Michele, 2023. "Deep Trade Agreements and Heterogeneous Firms Exports," Policy Research Working Paper Series 10277, The World Bank.
    66. Pierre-Philippe Combes & Clément Gorin & Shohei Nakamura & Mark Roberts, 2025. "An Anatomy of Urbanization in Sub-Saharan Africa," Post-Print hal-05446319, HAL.
    67. Chen, Yanguang, 2016. "The evolution of Zipf’s law indicative of city development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 555-567.
    68. Wolfgang Keller & Stephen Ross Yeaple, 2013. "The Gravity of Knowledge," American Economic Review, American Economic Association, vol. 103(4), pages 1414-1444, June.
    69. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
    70. Chauvin, Juan Pablo & Glaeser, Edward & Ma, Yueran & Tobio, Kristina, 2017. "What is different about urbanization in rich and poor countries? Cities in Brazil, China, India and the United States," Journal of Urban Economics, Elsevier, vol. 98(C), pages 17-49.
    71. Christian Düben & Melanie Krause, 2021. "Population, light, and the size distribution of cities," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 189-211, January.
    72. Junho Na & Jeong-dong Lee & Chulwoo Baek, 2017. "Is the service sector different in size heterogeneity?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 95-120, April.
    73. Fedotenkov, Igor, 2018. "A review of more than one hundred Pareto-tail index estimators," MPRA Paper 90072, University Library of Munich, Germany.
    74. di Giovanni, Julian & Levchenko, Andrei A., 2013. "Firm entry, trade, and welfare in Zipf's world," Journal of International Economics, Elsevier, vol. 89(2), pages 283-296.
    75. Gilberto Seravalli, 2016. "Dimensioni e crescita delle citt? in Europa: l?incertezza danneggia soprattutto le citt? medie," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2016(2), pages 91-108.
    76. Maarten Bosker & Steven Brakman & Harry Garretsen & Herman de Jong & Marc Schramm, 2007. "The Development of Cities in Italy 1300 – 1861," CESifo Working Paper Series 1893, CESifo.
    77. Christian Schluter, 2021. "On Zipf’s law and the bias of Zipf regressions," Empirical Economics, Springer, vol. 61(2), pages 529-548, August.
    78. Wen-Tai Hsu & Tomoya Mori & Tony E. Smith, 2014. "Spatial Patterns and Size Distributions of Cities," KIER Working Papers 882, Kyoto University, Institute of Economic Research.
    79. Christian Schluter, 2018. "Top Incomes, Heavy Tails, and Rank-Size Regressions," Post-Print hal-01978497, HAL.
    80. Wildauer, Rafael & Kapeller, Jakob, 2019. "Rank Correction: A New Approach to Differential Nonresponse in Wealth Survey Data," Greenwich Papers in Political Economy 26010, University of Greenwich, Greenwich Political Economy Research Centre.
    81. Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2015. "World Input-Output Network," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-21, July.
    82. Pesaran, H. & Yang, Cynthia Fan, 2016. "Econometric Analysis of Production Networks with Dominant Units," Cambridge Working Papers in Economics 1678, Faculty of Economics, University of Cambridge.
    83. Xavier Gabaix & Augustin Landier & Julien Sauvagnat, 2013. "CEO Pay and Firm Size: an Update after the Crisis," NBER Working Papers 19078, National Bureau of Economic Research, Inc.
    84. Jiangang Li & Songhong Li & Jun Lei & Xiaolei Zhang & Jianwei Qi & Buayxam Tohti & Zuliang Duan, 2022. "Analysis of Spatial Structure in the Kashgar Metropolitan Area, China," Land, MDPI, vol. 11(6), pages 1-22, May.
    85. Bee, Marco, 2025. "A parsimonious dynamic mixture for heavy-tailed distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 230(C), pages 193-206.
    86. Kathrine von Graevenitz & Elisa Rottner & Philipp M. Richter, 2024. "Is Germany Becoming the European Pollution Haven?," CRC TR 224 Discussion Paper Series crctr224_2024_503, University of Bonn and University of Mannheim, Germany.
    87. Alexandra SCHAFFAR, 2008. "Regional Income Inequality And Urbanisation Trends In China: 1978-2005," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 28, pages 87-110.
    88. González-Val, Rafael & Lanaspa, Luis, 2011. "Patterns in U.S. urban growth (1790–2000)," MPRA Paper 31006, University Library of Munich, Germany.
    89. Schulz, Jan & Weber, Jan David, 2025. "Power laws in socio-economics," BERG Working Paper Series 203, Bamberg University, Bamberg Economic Research Group.
    90. Mário Augusto & Rui Pascoal & Ana Margarida Monteiro, 2015. "Size Distribution of Portuguese Firms between 2006 and 2012," GEMF Working Papers 2015-04, GEMF, Faculty of Economics, University of Coimbra.
    91. Konings, Jozef & Amiti, Mary & Itskhoki, Oleg, 2016. "International Shocks and Domestic Prices: How Large Are Strategic Complementarities?," CEPR Discussion Papers 11182, C.E.P.R. Discussion Papers.
    92. Thiago Trafane Oliveira Santos & Daniel Oliveira Cajueiro, 2024. "Why you should also use OLS estimation of tail exponents," Papers 2409.10448, arXiv.org, revised Sep 2024.
    93. Luis Garicano & Claire Lelarge & John Van Reenen, 2012. "Firm Size Distortions and the Productivity Distribution: Evidence from France," CEP Discussion Papers dp1128, Centre for Economic Performance, LSE.
    94. Vasco M. Carvalho & Basile Grassi, 2016. "Large Firm Dynamics and the Business Cycle," Cambridge Working Papers in Economics 1556, Faculty of Economics, University of Cambridge.
    95. Aura Reggiani & Peter Nijkamp, 2015. "Did Zipf Anticipate Spatial Connectivity Structures?," Environment and Planning B, , vol. 42(3), pages 468-489, June.
    96. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.
    97. Asif, Muhammad & Hussain, Zawar & Asghar, Zahid & Hussain, Muhammad Irfan & Raftab, Mariya & Shah, Said Farooq & Khan, Akbar Ali, 2021. "A statistical evidence of power law distribution in the upper tail of world billionaires’ data 2010–20," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
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  11. Ibragimov, Rustam, 2007. "Thou shalt not diversity: Why "Two of Every Sort"?," Scholarly Articles 2623763, Harvard University Department of Economics.

    Cited by:

    1. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.

  12. Ibragimov, Rustam, 2007. "Efficiency of linear estimators under heavy-tailedness: convolutions of [alpha]-symmetric distributions," Scholarly Articles 2623749, Harvard University Department of Economics.

    Cited by:

    1. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
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    6. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
    7. Ibragimov, Marat & Ibragimov, Rustam & Kattuman, Paul, 2013. "Emerging markets and heavy tails," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2546-2559.
    8. Andrei Ankudinov & Rustam Ibragimov & Oleg Lebedev, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
    9. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    10. Ju, Shan & Pan, Xiaoqing, 2016. "A new proof for the peakedness of linear combinations of random variables," Statistics & Probability Letters, Elsevier, vol. 114(C), pages 93-98.

  13. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Scholarly Articles 2624460, Harvard University Department of Economics.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
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    5. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.
    6. Ibragimov, Rustam, 2008. "Heavy-tailedness and Threshold Sex Determination," Scholarly Articles 2623659, Harvard University Department of Economics.
    7. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
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    10. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
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    64. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    65. Thomas Holzheu & Ginger Turner, 2018. "The Natural Catastrophe Protection Gap: Measurement, Root Causes and Ways of Addressing Underinsurance for Extreme Events†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 37-71, January.
    66. Semih Atakan & Kerem Bülbül & Nilay Noyan, 2017. "Minimizing value-at-risk in single-machine scheduling," Annals of Operations Research, Springer, vol. 248(1), pages 25-73, January.
    67. Chollete, Lorán, 2008. "The Propagation of Financial Extremes: An Application to Subprime Market Spillovers," Discussion Papers 2008/2, Norwegian School of Economics, Department of Business and Management Science.
    68. Daniele Mancinelli & Immacolata Oliva, 2023. "Constant or Variable? A Performance Analysis among Portfolio Insurance Strategies," Risks, MDPI, vol. 11(6), pages 1-14, June.
    69. Li, Donghui & Xing, Lu & Zhao, Yang, 2022. "Does extended auditor disclosure deter managerial bad-news hoarding? Evidence from crash risk," Journal of Corporate Finance, Elsevier, vol. 76(C).
    70. Anatoly B. Schmidt, 2019. "Managing portfolio diversity within the mean variance theory," Annals of Operations Research, Springer, vol. 282(1), pages 315-329, November.
    71. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    72. Wang, Kun Tracy & Liu, Simeng & Wu, Yue, 2021. "Corporate social activities and stock price crash risk in the banking industry: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    73. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.
    74. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
    75. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2011. "International diversification: A copula approach," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 403-417, February.
    76. Azimli, Asil, 2022. "Degree and structure of return dependence among commodities, energy stocks and international equity markets during the post-COVID-19 period," Resources Policy, Elsevier, vol. 77(C).
    77. Vilislav Boutchaktchiev, 2025. "Inferred Loss Rate as a Credit Risk Measure in the Bulgarian Banking System," Mathematics, MDPI, vol. 13(9), pages 1-18, April.
    78. Kateryna Anatoliyevna Kopyl & John Byong-Tek Lee, 2016. "How safe are the safe haven assets?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(4), pages 453-482, November.

  14. Rustam Ibragimov & Johan Walden, 2006. "Portfolio Diversification Under Local, Moderate and Global Deviations From Power Laws," Harvard Institute of Economic Research Working Papers 2116, Harvard - Institute of Economic Research.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Zhou, Chen, 2010. "Dependence structure of risk factors and diversification effects," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 531-540, June.
    3. Walden, Johan & Ibragimov, Rustam, 2008. "Portfolio Diversification under Local and Moderate Deviations from Power Laws," Scholarly Articles 2640586, Harvard University Department of Economics.
    4. Kyle Moore & Pengfei Sun & Casper de Vries & Chen Zhou, 2013. "Shape Homogeneity and Scale Heterogeneity of Downside Tail Risk," Working Papers 13-13, Chapman University, Economic Science Institute.
    5. Embrechts, Paul & Puccetti, Giovanni, 2010. "Bounds for the sum of dependent risks having overlapping marginals," Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 177-190, January.

  15. Rustam Ibragimov & Johan Walden, 2006. "The Limits of Diversification When Losses May Be Large," Harvard Institute of Economic Research Working Papers 2104, Harvard - Institute of Economic Research.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Chernobai, Anna & Yildirim, Yildiray, 2008. "The dynamics of operational loss clustering," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2655-2666, December.
    3. Luca RICCETTI & Alberto RUSSO & Mauro GALLEGATI, 2011. "Leveraged Network-Based Financial Accelerator," Working Papers 371, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.
    5. Walden, Johan & Ibragimov, Rustam, 2008. "Portfolio Diversification under Local and Moderate Deviations from Power Laws," Scholarly Articles 2640586, Harvard University Department of Economics.
    6. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    7. Chollete, Loran & Pena, Victor de la & Lu, Ching-Chih, 2009. "International Diversification: A Copula Approach," UiS Working Papers in Economics and Finance 2009/27, University of Stavanger.
    8. Chollete, Loran, 2011. "A Model of Endogenous Extreme Events," UiS Working Papers in Economics and Finance 2012/2, University of Stavanger.
    9. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Scholarly Articles 2624460, Harvard University Department of Economics.
    10. Markwat, Thijs & Kole, Erik & van Dijk, Dick, 2009. "Contagion as a domino effect in global stock markets," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1996-2012, November.
    11. Chirok Han & Jin Seo Cho & Peter C.B. Phillips, 2009. "Infinite Density at the Median and the Typical Shape of Stock Return Distributions," Cowles Foundation Discussion Papers 1701, Cowles Foundation for Research in Economics, Yale University.
    12. Chollete, Loran & de la Pena , Victor & Lu, Ching-Chih, 2009. "International Diversification: An Extreme Value Approach," UiS Working Papers in Economics and Finance 2009/26, University of Stavanger.
    13. Chang, Carolyn W. & Chang, Jack S.K. & Lu, WeLi, 2010. "Pricing catastrophe options with stochastic claim arrival intensity in claim time," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 24-32, January.
    14. Annaert, Jan & Osselaer, Sofieke Van & Verstraete, Bert, 2009. "Performance evaluation of portfolio insurance strategies using stochastic dominance criteria," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 272-280, February.
    15. Ibragimov, Rustam & Walden, Johan, 2008. "Portfolio diversification under local and moderate deviations from power laws," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 594-599, April.
    16. Akhter Mohiuddin Rather, 2012. "Portfolio selection using mean-risk model and mean-risk diversification model," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 14(3), pages 324-342.
    17. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    18. Degen, Matthias & Lambrigger, Dominik D. & Segers, Johan, 2010. "Risk concentration and diversification: Second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 541-546, June.
    19. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    20. Chollete, Lorán, 2008. "The Propagation of Financial Extremes: An Application to Subprime Market Spillovers," Discussion Papers 2008/2, Norwegian School of Economics, Department of Business and Management Science.
    21. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2551-2569, August.
    22. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
    23. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2011. "International diversification: A copula approach," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 403-417, February.
    24. Asche, Frank & Dahl, Roy Endre & Oglend, Atle, 2013. "Value-at-Risk: Risk assessment for the portfolio of oil and gas producers," UiS Working Papers in Economics and Finance 2013/3, University of Stavanger.

  16. Xavier Gabaix & Rustam Ibragimov, 2006. "Log(Rank-1/2): A Simple Way to Improve the OLS Estimation of Tail Exponents," Harvard Institute of Economic Research Working Papers 2106, Harvard - Institute of Economic Research.

    Cited by:

    1. Y Ioannides & Henry Overman & Esteban Rossi-Hansberg & Kurt Schmidheiny, 2007. "The Effect of Information and Communication Technologies on Urban Structure," CEP Discussion Papers dp0812, Centre for Economic Performance, LSE.
    2. Michel DIMOU & Alexandra SCHAFFAR & Zhihong CHEN & Shihe FU, 2008. "LA CROISSANCE URBAINE CHINOISE RECONSIDeReE," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 109-131.
    3. Valente J. Matlaba & Mark Holmes & Philip McCann & Jacques Poot, 2011. "A Century of the Evolution of the Urban System in Brazil," Working Papers in Economics 11/12, University of Waikato.
    4. Alexandra Schaffar, 2008. "Regional income inequality and urbanisation trends in China : 1978-2005 [Disparités régionales de revenu et dynamiques urbaines en Chine : 1978-2005]," Post-Print hal-00924585, HAL.
    5. Maarten Bosker & Steven Brakman & Harry Garretsen & Herman de Jong & Marc Schramm, 2007. "The Development of Cities in Italy 1300 – 1861," CESifo Working Paper Series 1893, CESifo.
    6. Wen-Tai Hsu & Tomoya Mori & Tony E. Smith, 2014. "Spatial Patterns and Size Distributions of Cities," KIER Working Papers 882, Kyoto University, Institute of Economic Research.
    7. Michel Dimou & Alexandra Schaffar, 2009. "Urban Hierarchies and City Growth in the Balkans," Urban Studies, Urban Studies Journal Limited, vol. 46(13), pages 2891-2906, December.
    8. Zelai Xu & Nong Zhu, 2014. "City size distribution in China: are large cities dominant?," CIRANO Working Papers 2014s-04, CIRANO.
    9. Segarra, Agustí & Teruel, Mercedes, 2012. "An appraisal of firm size distribution: Does sample size matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 314-328.
    10. Alexandra SCHAFFAR & Sotiris PAVLEAS, 2014. "The Evolution Of The Greek Urban Centers: 1951-2011," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 87-104.
    11. Paulo M.M. Rodrigues & João Nicolau, 2015. "A New Regression-Based Tail Index Estimator: An Application to Exchange Rates," Working Papers w201514, Banco de Portugal, Economics and Research Department.
    12. Daron Acemoglu & Vasco Carvalho & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2011. "The network origins of aggregate fluctuations," Economics Working Papers 1291, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Makoto Nirei & Theodoros Stamatiou & Vladyslav Sushko, 2012. "Stochastic Herding in Financial Markets Evidence from Institutional Investor Equity Portfolios," BIS Working Papers 371, Bank for International Settlements.

  17. Rustam Ibragimov, 2005. "On Efficiency of Linear Estimators Under Heavy-Tailedness," Harvard Institute of Economic Research Working Papers 2085, Harvard - Institute of Economic Research.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.
    3. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    4. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Scholarly Articles 2624460, Harvard University Department of Economics.
    5. Chirok Han & Jin Seo Cho & Peter C.B. Phillips, 2009. "Infinite Density at the Median and the Typical Shape of Stock Return Distributions," Cowles Foundation Discussion Papers 1701, Cowles Foundation for Research in Economics, Yale University.
    6. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.

  18. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Pablo Pincheira, 2008. "Combining Tests of Predictive Ability Theory and Evidence for Chilean and Canadian Exchange Rates," Working Papers Central Bank of Chile 459, Central Bank of Chile.
    2. Anat Bracha & Jeremy Gray & Rustam Ibragimov & Boaz Nadler & Dmitry Shapiro & Glena Ames & Donald J. Brown, 2005. "Randomized Sign Test for Dependent Observations on Discrete Choice under Risk," Cowles Foundation Discussion Papers 1526, Cowles Foundation for Research in Economics, Yale University.

  19. Rustam Ibragimov, 2005. "Copula-Based Dependence Characterizations and Modeling for Time Series," Harvard Institute of Economic Research Working Papers 2094, Harvard - Institute of Economic Research.

    Cited by:

    1. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    2. Romera, Rosario & Molanes, Elisa M., 2008. "Copulas in finance and insurance," DES - Working Papers. Statistics and Econometrics. WS ws086321, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    4. Charles Fontaine & Ron D. Frostig & Hernando Ombao, 2020. "Modeling dependence via copula of functionals of Fourier coefficients," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(4), pages 1125-1144, December.
    5. Beare, Brendan K., 2009. "Copulas and Temporal Dependence," University of California at San Diego, Economics Working Paper Series qt87p829d4, Department of Economics, UC San Diego.
    6. Margaret Meyer & Bruno Strulovici, 2013. "Beyond Correlation: Measuring Interdependence Through Complementarities," Economics Series Working Papers 655, University of Oxford, Department of Economics.
    7. Fang, Jun & Jiang, Fan & Liu, Yong & Yang, Jingping, 2020. "Copula-based Markov process," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 166-187.

  20. Rustam Ibragimov, 2005. "Portfolio Diversification and Value at Risk Under Thick-Tailedness," Harvard Institute of Economic Research Working Papers 2086, Harvard - Institute of Economic Research.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Walden, Johan & Ibragimov, Rustam, 2008. "Portfolio Diversification under Local and Moderate Deviations from Power Laws," Scholarly Articles 2640586, Harvard University Department of Economics.
    3. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    4. Takashi KANAMURA, 2018. "Diversification Effect of Commodity Futures on Financial Markets," Discussion papers 18019, Research Institute of Economy, Trade and Industry (RIETI).
    5. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Scholarly Articles 2624460, Harvard University Department of Economics.
    6. Ibragimov Marat & Khamidov Rufat, 2010. "Heavy-Tailedness and Volatility in Emerging Foreign Exchange Markets: Theory and Empirics," EERC Working Paper Series 10/06e, EERC Research Network, Russia and CIS.
    7. Christian Gourieroux & Wei Liu, 2006. "Sensitivity Analysis of Distortion Risk Measures," Working Papers 2006-33, Center for Research in Economics and Statistics.
    8. Alfred Galichon, 2009. "The var at risk," Working Papers hal-00401793, HAL.
    9. Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2005. "Institutional Investors and Stock Market Volatility," NBER Working Papers 11722, National Bureau of Economic Research, Inc.
    10. Ibragimov, Rustam, 2007. "Efficiency of linear estimators under heavy-tailedness: convolutions of [alpha]-symmetric distributions," Scholarly Articles 2623749, Harvard University Department of Economics.
    11. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
    12. Asche, Frank & Dahl, Roy Endre & Oglend, Atle, 2013. "Value-at-Risk: Risk assessment for the portfolio of oil and gas producers," UiS Working Papers in Economics and Finance 2013/3, University of Stavanger.

  21. Rustam Ibragimov, 2005. "Optimal Bundling Strategies For Complements And Substitutes With Heavy-Tailed Valuations," Harvard Institute of Economic Research Working Papers 2088, Harvard - Institute of Economic Research.

    Cited by:

    1. Ibragimov, Rustam, 2007. "Efficiency of linear estimators under heavy-tailedness: convolutions of [alpha]-symmetric distributions," Scholarly Articles 2623749, Harvard University Department of Economics.

  22. Rustam Ibragimov, 2005. "A Tale of Two Tails: Peakedness Properties in Inheritance Models of Evolutionary Theory," Harvard Institute of Economic Research Working Papers 2092, Harvard - Institute of Economic Research.

    Cited by:

    1. Xavier Gabaix & Augustin Landier, 2006. "Why Has CEO Pay Increased So Much?," NBER Working Papers 12365, National Bureau of Economic Research, Inc.
    2. Ibragimov, Rustam, 2007. "Efficiency of linear estimators under heavy-tailedness: convolutions of [alpha]-symmetric distributions," Scholarly Articles 2623749, Harvard University Department of Economics.

  23. Rustam Ibragimov, 2005. "Demand-Driven Innovation and Spatial Competition Over Time Under Heavy-Tailed Signals," Harvard Institute of Economic Research Working Papers 2087, Harvard - Institute of Economic Research.

    Cited by:

    1. Ibragimov, Rustam, 2007. "Efficiency of linear estimators under heavy-tailedness: convolutions of [alpha]-symmetric distributions," Scholarly Articles 2623749, Harvard University Department of Economics.

  24. Rustam Ibragimov & Peter C.B. Phillips, 2004. "Regression Asymptotics Using Martingale Convergence Methods," Cowles Foundation Discussion Papers 1473, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. M.C. Medeiros & E. Mendes & Les Oxley, 2010. "A Note on Nonlinear Cointegration, Misspecification and Bimodality," Working Papers in Economics 10/01, University of Canterbury, Department of Economics and Finance.
    2. Offer Lieberman & Peter C.B. Phillips, 2018. "Understanding Temporal Aggregation Effects on Kurtosis in Financial Indices," Cowles Foundation Discussion Papers 2151, Cowles Foundation for Research in Economics, Yale University.
    3. Martin Wagner, 2023. "Residual-based cointegration and non-cointegration tests for cointegrating polynomial regressions," Empirical Economics, Springer, vol. 65(1), pages 1-31, July.
    4. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2018. "Equilibrium with Monoline and Multiline Structures [Uncertainty and the welfare economics of medical care]," Review of Finance, European Finance Association, vol. 22(2), pages 595-632.
    5. Andrew P. Blake & George Kapetanios, 2007. "Testing for Neglected Nonlinearity in Cointegrating Relationships," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(6), pages 807-826, November.
    6. Ioannis Kasparis & Peter C.B. Phillips & Tassos Magdalinos, 2012. "Non-linearity Induced Weak Instrumentation," University of Cyprus Working Papers in Economics 02-2012, University of Cyprus Department of Economics.
    7. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.
    8. Seung Hyun Hong & Peter C. B. Phillips, 2005. "Testing Linearity in Cointegrating Relations with an Application to Purchasing Power Parity," Cowles Foundation Discussion Papers 1541, Cowles Foundation for Research in Economics, Yale University.
    9. Wagner, Martin, 2012. "The Phillips unit root tests for polynomials of integrated processes," Economics Letters, Elsevier, vol. 114(3), pages 299-303.
    10. Chan, Nigel & Wang, Qiying, 2015. "Nonlinear regressions with nonstationary time series," Journal of Econometrics, Elsevier, vol. 185(1), pages 182-195.
    11. Peter C. B. Phillips & Degui Li & Jiti Gao, 2013. "Estimating Smooth Structural Change in Cointegration Models," Monash Econometrics and Business Statistics Working Papers 22/13, Monash University, Department of Econometrics and Business Statistics.
    12. Zhengyan Lin & Hanchao Wang, 2016. "On Convergence to Stochastic Integrals," Journal of Theoretical Probability, Springer, vol. 29(3), pages 717-736, September.
    13. Ibragimov, Rustam & Phillips, Peter C.B., 2008. "Regression asymptotics using martingale convergence methods," Scholarly Articles 2624459, Harvard University Department of Economics.
    14. Yanbo Liu & Peter C.B. Phillips, 2021. "Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions," Cowles Foundation Discussion Papers 2305, Cowles Foundation for Research in Economics, Yale University.
    15. MArcelo Cunha Medeiros & Eduardo Mendes & Les Oxley, 2010. "Nonlinear Cointegration, Misspecification and Bimodality," Textos para discussão 577, Department of Economics PUC-Rio (Brazil).
    16. Chang, Yoosoon, 2012. "Taking a new contour: A novel approach to panel unit root tests," Journal of Econometrics, Elsevier, vol. 169(1), pages 15-28.
    17. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.
    18. Phillips, Peter C.B. & Leirvik, Thomas & Storelvmo, Trude, 2020. "Econometric estimates of Earth’s transient climate sensitivity," Journal of Econometrics, Elsevier, vol. 214(1), pages 6-32.
    19. Pötscher, Benedikt M., 2011. "On the Order of Magnitude of Sums of Negative Powers of Integrated Processes," MPRA Paper 28287, University Library of Munich, Germany.
    20. Olimpia Neagu, 2019. "The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    21. Rickard Sandberg, 2017. "Sample Moments and Weak Convergence to Multivariate Stochastic Power Integrals," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 1000-1009, November.
    22. Offer Lieberman & Peter C.B. Phillips, 2016. "IV and GMM Estimation and Testing of Multivariate Stochastic Unit Root Models," Cowles Foundation Discussion Papers 2061, Cowles Foundation for Research in Economics, Yale University.
    23. Lieberman, Offer & Phillips, Peter C.B., 2020. "Hybrid stochastic local unit roots," Journal of Econometrics, Elsevier, vol. 215(1), pages 257-285.
    24. Offer Lieberman & Peter C. B. Phillips, 2014. "Norming Rates And Limit Theory For Some Time-Varying Coefficient Autoregressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(6), pages 592-623, November.
    25. Medeiros, Marcelo C & Magri, Rafael, 2013. "Nonlinear Error Correction Models With an Application to Commodity Prices," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.
    26. Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2016. "Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 582-594.
    27. Hanying Liang & Peter C.B. Phillips & Hanchao Wang & Qiying Wang, 2014. "Weak Convergence to Stochastic Integrals for Econometric Applications," Cowles Foundation Discussion Papers 1971, Cowles Foundation for Research in Economics, Yale University.
    28. Thomas Leirvik & Peter C.B. Phillips & Trude Storelvmo, 2017. "Econometric Measurement of Earth's Transient Climate Sensitivity," Cowles Foundation Discussion Papers 2083, Cowles Foundation for Research in Economics, Yale University.
    29. Stypka, Oliver & Wagner, Martin & Grabarczyk, Peter & Kawka, Rafael, 2017. "The Asymptotic Validity of "Standard" Fully Modified OLS Estimation and Inference in Cointegrating Polynomial Regressions," Economics Series 333, Institute for Advanced Studies.
    30. Phillips, Peter C.B. & Wang, Ying, 2023. "When bias contributes to variance: True limit theory in functional coefficient cointegrating regression," Journal of Econometrics, Elsevier, vol. 232(2), pages 469-489.
    31. de Jong, Robert M. & Wagner, Martin, 2025. "Panel cointegrating polynomial regression analysis and an illustration with the environmental kuznets curve," Econometrics and Statistics, Elsevier, vol. 33(C), pages 135-165.
    32. Bent Nielsen & Carlos Caceres, 2007. "Convergence to Stochastic Integrals with Non-linear integrands," Economics Papers 2007-W02, Economics Group, Nuffield College, University of Oxford.
    33. Karsten Reichold & Ulrike Schneider, 2025. "Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions," Papers 2510.07204, arXiv.org.

  25. Rustam Ibragimov, 2004. "Shifting paradigms: on the robustness of economic models to heavy-tailedness assumptions," Econometric Society 2004 Latin American Meetings 105, Econometric Society.

    Cited by:

    1. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation for Research in Economics, Yale University.
    2. René Garcia & Éric Renault & Georges Tsafack, 2007. "Proper Conditioning for Coherent VaR in Portfolio Management," Management Science, INFORMS, vol. 53(3), pages 483-494, March.

  26. de la Peña, Victor H. & Sharakhmetov, Shaturgun & Ibragimov, Rustam, 2003. "On Extremal Distributions and Sharp L[sub]p-Bounds For Sums of Multilinear Forms," Scholarly Articles 2624455, Harvard University Department of Economics.

    Cited by:

    1. Donald Brown & Rustam Ibragimov & Johan Walden, 2015. "Bounds for path-dependent options," Annals of Finance, Springer, vol. 11(3), pages 433-451, November.

  27. Ibragimov, Rustam & Sharakhmetov, Shaturgun, 2002. "The exact constant in the Rosenthal inequality for random variables with mean zero," Scholarly Articles 2623703, Harvard University Department of Economics.

    Cited by:

    1. Comte, Fabienne & Kappus, Johanna, 2015. "Density deconvolution from repeated measurements without symmetry assumption on the errors," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 31-46.
    2. Johanna Kappus, 2018. "Nonparametric estimation for irregularly sampled Lévy processes," Statistical Inference for Stochastic Processes, Springer, vol. 21(1), pages 141-167, April.
    3. Zhentao Shi & Jin Xi & Haitian Xie, 2025. "A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data," Papers 2505.22388, arXiv.org.

Articles

  1. Ibragimov, Rustam & Kim, Jihyun & Skrobotov, Anton, 2024. "New Robust Inference For Predictive Regressions," Econometric Theory, Cambridge University Press, vol. 40(6), pages 1364-1390, December.

    Cited by:

    1. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2025. "Robust Cauchy-Based Methods for Predictive Regressions," Papers 2511.09249, arXiv.org, revised Nov 2025.

  2. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.

    Cited by:

    1. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    2. Yao, Yinhong & Li, Jingyu & Chen, Wei, 2024. "Multiscale extreme risk spillovers among the Chinese mainland, Hong Kong, and London stock markets: Comparing the impacts of three Stock Connect programs," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1217-1233.
    3. Artem Kraevskiy & Artem Prokhorov & Evgeniy Sokolovskiy, 2024. "An early warning system for emerging markets," Papers 2404.03319, arXiv.org, revised May 2025.
    4. Rustam Ibragimov & Rasmus Pedersen & Anton Skrobotov, 2020. "New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence," Papers 2006.01212, arXiv.org, revised Nov 2023.
    5. Ba, Shusong & Li, Lu & Huang, Wenli & Yang, Chen, 2020. "Heterogeneity risks and negative externality," Economic Modelling, Elsevier, vol. 87(C), pages 401-415.
    6. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.
    7. Echaust, Krzysztof & Just, Małgorzata, 2022. "Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions," Research in International Business and Finance, Elsevier, vol. 63(C).
    8. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.

  3. Brown, Donald & Ibragimov, Rustam, 2019. "Sign tests for dependent observations," Econometrics and Statistics, Elsevier, vol. 10(C), pages 1-8.

    Cited by:

    1. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.

  4. Marat Ibragimov & Rustam Ibragimov & Paul Kattuman & Jun Ma, 2018. "Income inequality and price elasticity of market demand: the case of crossing Lorenz curves," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 729-750, May.

    Cited by:

    1. James Davies & Michael Hoy & Lin Zhao, 2022. "Revisiting comparisons of income inequality when Lorenz curves intersect," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(1), pages 101-109, January.

  5. Marat Ibragimov & Rustam Ibragimov, 2018. "Heavy tails and upper-tail inequality: The case of Russia," Empirical Economics, Springer, vol. 54(2), pages 823-837, March.

    Cited by:

    1. Winkelried, Diego & Escobar, Bruno, 2020. "Declining inequality in Latin America? Robustness checks for Peru," MPRA Paper 106566, University Library of Munich, Germany.
    2. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Capital and Labor Income Pareto Exponents in the United States, 1916-2019," Papers 2206.04257, arXiv.org.
    3. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    4. T. M. Maleva & M. A. Kartseva & P. O. Kuznetsova & A. A. Salmina, 2021. "Does the Application of Alternative Methods Change the Pattern of Regional Inequality in Russia?," Regional Research of Russia, Springer, vol. 11(1), pages 18-28, January.
    5. Matteo Barigozzi & Giuseppe Cavaliere & Lorenzo Trapani, 2021. "Inference in heavy-tailed non-stationary multivariate time series," Papers 2107.13894, arXiv.org.
    6. Catarina Midões & Denis de Crombrugghe, 2023. "Assumption-light and computationally cheap inference on inequality measures by sample splitting: the Student t approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(4), pages 899-924, December.
    7. Tjeerd de Vries & Alexis Akira Toda, 2020. "Capital and Labor Income Pareto Exponents across Time and Space," Papers 2006.03441, arXiv.org, revised Jun 2021.
    8. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.
    9. Matteo Barigozzi & Giuseppe Cavaliere & Lorenzo Trapani, 2020. "Determining the rank of cointegration with infinite variance," Discussion Papers 20/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    10. João Nicolau & Pedro Raposo & Paulo M. M. Rodrigues, 2023. "Measuring wage inequality under right censoring," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 377-401, April.

  6. Gu, Zhiye & Ibragimov, Rustam, 2018. "The “Cubic Law of the Stock Returns” in emerging markets," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 182-190.

    Cited by:

    1. Trung H. Le, 2024. "Forecasting VaR and ES in emerging markets: The role of time‐varying higher moments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 402-414, March.
    2. Nirei, Makoto & Stachurski, John & Watanabe, Tsutomu, 2020. "Trade clustering and power laws in financial markets," Theoretical Economics, Econometric Society, vol. 15(4), November.
    3. Makoto Nirei & John Stachurski & Tsutomu Watanabe, 2018. "Trade Clustering and Power Laws in Financial Markets (Published in Theoretical Economics, 15:1365?1398, 2020)," CARF F-Series CARF-F-450, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.

  7. Andrei Ankudinov & Rustam Ibragimov & Oleg Lebedev, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.

    Cited by:

    1. Mikhail Makushkin & Victor Lapshin, 2020. "Modelling tail dependencies between Russian and foreign stock markets: Application for market risk valuation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 30-52.

  8. Marat Ibragimov & Rustam Ibragimov, 2017. "Unemployment and output dynamics in CIS countries: Okun’s law revisited," Applied Economics, Taylor & Francis Journals, vol. 49(34), pages 3453-3479, July.

    Cited by:

    1. Umba Nsabimana, 2023. "Okun's law: Place-of-birth-specific unemployment in Sweden," Economics Bulletin, AccessEcon, vol. 43(3), pages 1539-1547.
    2. Porras-Arena, M. Sylvina & Martín-Román, Ángel L., 2023. "The heterogeneity of Okun's law: A metaregression analysis," Economic Modelling, Elsevier, vol. 128(C).
    3. Compagnucci, Fabiano & Gentili, Andrea & Valentini, Enzo & Gallegati, Mauro, 2021. "Have jobs and wages stopped rising? Productivity and structural change in advanced countries," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 412-430.
    4. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    5. Molobe Joyce Ramakgasha & Tshephi Kingsley Thaba & Nengovhela Rudzani, 2024. "Agricultural Production and Agricultural Employment Rate in South Africa: Time Series Analysis Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 148-153, July.
    6. Bonaventura, Luigi & Cellini, Roberto & Sambataro, Mario, 2018. "Gender differences in Okun's law across the Italian regions," MPRA Paper 87557, University Library of Munich, Germany.
    7. Fan Hu & Zidong An, 2024. "The Buffering Effect of Higher Education Expansion on the Okun’s Law in China," Hacienda Pública Española / Review of Public Economics, IEF, vol. 250(3), pages 89-107, September.
    8. Chenini Moussa & Ayad Hicham & Attouchi Manel & Dahmani Mohamed Driouche, 2023. "Testing the Validity of Okun’s Law in Algeria: Is there a difference between Maki’s Cointegration and Quantile’s Regression Results?," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 42-63, June.

  9. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.

    Cited by:

    1. Kutan, Ali M. & Shi, Yukun & Wei, Mingzhe & Zhao, Yang, 2018. "Does the introduction of index futures stabilize stock markets? Further evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 183-197.
    2. Nirei, Makoto & Stachurski, John & Watanabe, Tsutomu, 2020. "Trade clustering and power laws in financial markets," Theoretical Economics, Econometric Society, vol. 15(4), November.
    3. León, Ángel & Ñíguez, Trino-Manuel, 2020. "Modeling asset returns under time-varying semi-nonparametric distributions," Journal of Banking & Finance, Elsevier, vol. 118(C).
    4. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    5. E. I. Kadochnikova* & N. M. Yakupova & I. L. Beilin & Z. N. Zapparova, 2018. "The Impact of Ownership on the Structures Based on Division Between Policies and Companies," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 272-276:5.
    6. Andrey B. Ankudinov & Bela S. Bataeva, 2021. "Capital structure and market capitalization: Empirical analysis of Russian public companies," Upravlenets, Ural State University of Economics, vol. 12(2), pages 35-42, April.
    7. Makoto Nirei & John Stachurski & Tsutomu Watanabe, 2018. "Trade Clustering and Power Laws in Financial Markets (Published in Theoretical Economics, 15:1365?1398, 2020)," CARF F-Series CARF-F-450, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    8. Jonathan Batten & Xuan Vinh Vo, 2019. "Liquidity And Firm Value In An Emerging Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(02), pages 365-376, March.
    9. Echaust, Krzysztof & Just, Małgorzata, 2022. "Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions," Research in International Business and Finance, Elsevier, vol. 63(C).

  10. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.

    Cited by:

    1. Estrada, Mario Arturo Ruiz & Koutronas, Evangelos, 2022. "The impact of the Russian Aggression against Ukraine on the Russia-EU Trade," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 599-616.
    2. Hartwell, Christopher A. & Zadorozhna, Olha, 2024. "The connections that bind: Political connectivity in the face of geopolitical disruption," Journal of International Management, Elsevier, vol. 30(3).
    3. Pavel Dovbnya, 2020. "Announcements of Sanctions and the Russian Equity Market: An Event Study Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 74-92, March.
    4. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Costola, Michele & Lorusso, Marco, 2021. "Spillovers among Energy Commodities and the Russian Stock Market," MPRA Paper 108990, University Library of Munich, Germany.
    6. Luboš Smutka & Josef Abrhám, 2022. "The impact of the Russian import ban on EU agrarian exports," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 39-49.
    7. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).
    8. Kazi Sohag & Rogneda Vasilyeva & Alina Urazbaeva & Valentin Voytenkov, 2022. "Stock Market Synchronization: The Role of Geopolitical Risk," JRFM, MDPI, vol. 15(5), pages 1-15, April.
    9. Chishti, Muhammad Zubair & Khalid, Ali Awais & Sana, Moniba, 2023. "Conflict vs sustainability of global energy, agricultural and metal markets: A lesson from Ukraine-Russia war," Resources Policy, Elsevier, vol. 84(C).
    10. Klose, Jens, 2024. "Empirical effects of sanctions and support measures on stock prices and exchange rates in the Russia–Ukraine war," Global Finance Journal, Elsevier, vol. 59(C).
    11. Jakub Horak, 2021. "Sanctions as a Catalyst for Russia’s and China’s Balance of Trade: Business Opportunity," JRFM, MDPI, vol. 14(1), pages 1-26, January.
    12. Linhai Zhao & Ehsan Rasoulinezhad & Tapan Sarker & Farhad Taghizadeh-Hesary, 2023. "Effects of COVID-19 on Global Financial Markets: Evidence from Qualitative Research for Developed and Developing Economies," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 148-166, February.
    13. Artem Aganin & Anatoly Peresetsky, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    14. Echaust, Krzysztof & Just, Małgorzata, 2022. "Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions," Research in International Business and Finance, Elsevier, vol. 63(C).
    15. Korotin, Vladimir & Dolgonosov, Maxim & Popov, Victor & Korotina, Olesya & Korolkova, Inna, 2019. "The Ukrainian crisis, economic sanctions, oil shock and commodity currency: Analysis based on EMD approach," Research in International Business and Finance, Elsevier, vol. 48(C), pages 156-168.
    16. Shanaev, Savva & Ghimire, Binam, 2019. "Is all politics local? Regional political risk in Russia and the panel of stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 70-82.

  11. Rustam Ibragimov & Ulrich K. Müller, 2016. "Inference with Few Heterogeneous Clusters," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 83-96, March.

    Cited by:

    1. Christoph Engel & Keren Weinshall, 2020. "Manna from Heaven for Judges– Judges’ Reaction to a Quasi-Random Reduction in Caseload," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2020_01, Max Planck Institute for Behavioral Economics.
    2. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    3. Hagemann, Andreas, 2025. "Inference on quantile processes with a finite number of clusters," Journal of Econometrics, Elsevier, vol. 249(PA).
    4. Jungbin Hwang, 2017. "Simple and Trustworthy Cluster-Robust GMM Inference," Working papers 2017-19, University of Connecticut, Department of Economics, revised Aug 2020.
    5. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    6. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
    7. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
    9. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 56(4), pages 1139-1203, September.
    10. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
    11. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Other publications TiSEM 80b8e4ed-54bc-4a34-883f-f, Tilburg University, School of Economics and Management.
    12. Bruce E. Hansen & Seojeong Lee, 2019. "Asymptotic Theory for Clustered Samples," Papers 1902.01497, arXiv.org.
    13. James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
    14. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2024. "Comparing forecasting performance with panel data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 918-941.
    15. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    16. Yong Cai, 2021. "Panel Data with Unknown Clusters," Papers 2106.05503, arXiv.org, revised Jan 2022.
    17. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
    18. Michael P. Leung, 2023. "Network Cluster‐Robust Inference," Econometrica, Econometric Society, vol. 91(2), pages 641-667, March.
    19. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    20. Jorge González Chapela & Sergi Jiménez-Martín & Judith Vall Castello, 2021. "Education and Internal Migration: Evidence from a Child Labor Reform in Spain," Studies on the Spanish Economy eee2021-34, FEDEA.
    21. MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
    22. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    23. Tom Boot & Gianmaria Niccodemi & Tom Wansbeek, 2023. "Unbiased estimation of the OLS covariance matrix when the errors are clustered," Empirical Economics, Springer, vol. 64(6), pages 2511-2533, June.
    24. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    25. Bruce E. Hansen, 2025. "Standard Errors for Difference‐in‐Difference Regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 291-309, April.
    26. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2020. "New robust inference for predictive regressions," Papers 2006.01191, arXiv.org, revised Mar 2023.
    27. Michael P. Leung, 2022. "Dependence‐robust inference using resampled statistics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 270-285, March.
    28. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.
    29. Rustam Ibragimov & Jihyun Kim & Anton Skrobotov, 2025. "Robust Cauchy-Based Methods for Predictive Regressions," Papers 2511.09249, arXiv.org, revised Nov 2025.
    30. Stefano DellaVigna & Guido Imbens & Woojin Kim & David M. Ritzwoller, 2025. "Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation," Papers 2504.13295, arXiv.org.
    31. Pötscher, Benedikt M. & Preinerstorfer, David, 2021. "Valid Heteroskedasticity Robust Testing," MPRA Paper 107420, University Library of Munich, Germany.
    32. Riccardo D'Adamo, 2018. "Cluster-Robust Standard Errors for Linear Regression Models with Many Controls," Papers 1806.07314, arXiv.org, revised Apr 2019.
    33. Bobonis, Gustavo J. & Stabile, Mark & Tovar, Leonardo, 2020. "Military training exercises, pollution, and their consequences for health," Journal of Health Economics, Elsevier, vol. 73(C).
    34. Ronald Klingebiel & John Joseph & Valerie Machoba, 2022. "Sequencing innovation rollout: Learning opportunity versus entry speed," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1763-1792, September.
    35. Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
    36. Brown, Donald & Ibragimov, Rustam, 2019. "Sign tests for dependent observations," Econometrics and Statistics, Elsevier, vol. 10(C), pages 1-8.
    37. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    38. Andreas Hagemann, 2023. "Inference on quantile processes with a finite number of clusters," Papers 2301.04687, arXiv.org, revised Jun 2023.
    39. Huang Zibin & Ibragimov Rustam, 2022. "Equity returns and sentiment," Dependence Modeling, De Gruyter, vol. 10(1), pages 159-176, January.
    40. Dianat, Ahrash & Echenique, Federico & Yariv, Leeat, 2022. "Statistical discrimination and affirmative action in the lab," Games and Economic Behavior, Elsevier, vol. 132(C), pages 41-58.
    41. Győző Gyöngyösi & Emil Verner, 2022. "Financial Crisis, Creditor‐Debtor Conflict, and Populism," Journal of Finance, American Finance Association, vol. 77(4), pages 2471-2523, August.
    42. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
    43. Yong Cai & Ivan A. Canay & Deborah Kim & Azeem M. Shaikh, 2021. "On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters," Papers 2102.09058, arXiv.org, revised Mar 2022.
    44. Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
    45. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    46. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
    47. Gyongyosi, Gyozo & Verner, Emil, 2018. "Financial Crisis, Creditor-Debtor Conflict, and Political Extremism," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181587, Verein für Socialpolitik / German Economic Association.

  12. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.

    Cited by:

    1. Umberto Cherubini & Paolo Neri, 2017. "Value-at-Risk Diversification of $\alpha$-stable Risks: The Tail-Dependence Puzzle," Papers 1704.07235, arXiv.org.
    2. Gkillas, Konstantinos & Katsiampa, Paraskevi, 2018. "An application of extreme value theory to cryptocurrencies," Economics Letters, Elsevier, vol. 164(C), pages 109-111.
    3. Di Lascio, F. Marta L. & Giammusso, Davide & Puccetti, Giovanni, 2018. "A clustering approach and a rule of thumb for risk aggregation," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 236-248.
    4. Marina Friedrich & Sébastien Fries & Michael Pahle & Ottmar Edenhofer, 2020. "Rules vs. Discretion in Cap-and-Trade Programs: Evidence from the EU Emission Trading System," CESifo Working Paper Series 8637, CESifo.
    5. Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
    6. Alexander Shulzhenko, 2023. "Copula-based deviation measure of cointegrated financial assets," Papers 2312.02081, arXiv.org.
    7. Ling Peng & Dong Han, 2021. "The Convergence Rate of High-Dimensional Sample Quantiles for φ -Mixing Observation Sequences," Mathematics, MDPI, vol. 9(6), pages 1-8, March.
    8. Wenhao Zhu & Lujun Li & Jingping Yang & Jiehua Xie & Liulei Sun, 2023. "Asymptotic subadditivity/superadditivity of Value‐at‐Risk under tail dependence," Mathematical Finance, Wiley Blackwell, vol. 33(4), pages 1314-1369, October.
    9. Pertaia, Giorgi & Prokhorov, Artem & Uryasev, Stan, 2022. "A new approach to credit ratings," Journal of Banking & Finance, Elsevier, vol. 140(C).
    10. Hans Rau-Bredow, 2019. "Bigger Is Not Always Safer: A Critical Analysis of the Subadditivity Assumption for Coherent Risk Measures," Risks, MDPI, vol. 7(3), pages 1-18, August.

  13. Donald Brown & Rustam Ibragimov & Johan Walden, 2015. "Bounds for path-dependent options," Annals of Finance, Springer, vol. 11(3), pages 433-451, November.

    Cited by:

    1. Braouezec, Yann, 2017. "How fundamental is the one-period trinomial model to European option pricing bounds. A new methodological approach," Finance Research Letters, Elsevier, vol. 21(C), pages 92-99.

  14. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.

    Cited by:

    1. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.

  15. Ibragimov, Marat & Ibragimov, Rustam & Kattuman, Paul, 2013. "Emerging markets and heavy tails," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2546-2559.

    Cited by:

    1. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Post-Print hal-01994353, HAL.
    2. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    3. Makoto Nirei & John Stachurski & Koichiro Takaoka & Tsutomu Watanabe, 2018. "Herding and Power Laws in Financial Markets," CARF F-Series CARF-F-434, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. João Nicolau & Paulo M. M. Rodrigues, 2019. "A New Regression-Based Tail Index Estimator," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 667-680, October.
    5. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    6. Fatma Ozgu Serttas, 2018. "Infinite-Variance Error Structure in Finance and Economics," International Econometric Review (IER), Econometric Research Association, vol. 10(1), pages 14-23, April.
    7. Kim, Joseph H.T. & Kim, Joocheol, 2015. "A parametric alternative to the Hill estimator for heavy-tailed distributions," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 60-71.
    8. Le, Trung H., 2021. "International portfolio allocation: The role of conditional higher moments," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 33-57.
    9. Christian Schluter, 2021. "On Zipf’s law and the bias of Zipf regressions," Empirical Economics, Springer, vol. 61(2), pages 529-548, August.
    10. M. Caivano & A. Harvey, 2013. "Two EGARCH models and one fat tail," Cambridge Working Papers in Economics 1326, Faculty of Economics, University of Cambridge.
    11. Marat Ibragimov & Rustam Ibragimov, 2018. "Heavy tails and upper-tail inequality: The case of Russia," Empirical Economics, Springer, vol. 54(2), pages 823-837, March.
    12. Trung H. Le, 2024. "Forecasting VaR and ES in emerging markets: The role of time‐varying higher moments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 402-414, March.
    13. Nirei, Makoto & Stachurski, John & Watanabe, Tsutomu, 2020. "Trade clustering and power laws in financial markets," Theoretical Economics, Econometric Society, vol. 15(4), November.
    14. Rustam Ibragimov & Rasmus Pedersen & Anton Skrobotov, 2020. "New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence," Papers 2006.01212, arXiv.org, revised Nov 2023.
    15. Gu, Zhiye & Ibragimov, Rustam, 2018. "The “Cubic Law of the Stock Returns” in emerging markets," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 182-190.
    16. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    17. Josep Lluís Carrion-i-Silvestre & Andreu Sansó, 2023. "“Generalized Extreme Value Approximation to the CUMSUMQ Test for Constant Unconditional Variance in Heavy-Tailed Time Series”," AQR Working Papers 202305, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2023.
    18. Paulo M.M. Rodrigues & João Nicolau, 2015. "A New Regression-Based Tail Index Estimator: An Application to Exchange Rates," Working Papers w201514, Banco de Portugal, Economics and Research Department.
    19. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.
    20. Rustam Ibragimov & Marat Ibragimov & Rufat Khamidov, 2010. "Measuring Inequality in CIS Countries: Theory and Empirics," wiiw Balkan Observatory Working Papers 88, The Vienna Institute for International Economic Studies, wiiw.
    21. Bonga-Bonga, Lumengo & Montshioa, Keitumetse, 2024. "Navigating extreme market fluctuations: asset allocation strategies in developed vs. emerging economies," MPRA Paper 119910, University Library of Munich, Germany.
    22. Makoto Nirei & John Stachurski & Tsutomu Watanabe, 2018. "Trade Clustering and Power Laws in Financial Markets (Published in Theoretical Economics, 15:1365?1398, 2020)," CARF F-Series CARF-F-450, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    23. Anatolyev Stanislav, 2019. "Volatility filtering in estimation of kurtosis (and variance)," Dependence Modeling, De Gruyter, vol. 7(1), pages 1-23, February.
    24. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
    25. Andrei Ankudinov & Rustam Ibragimov & Oleg Lebedev, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
    26. Ryoko Ito, 2016. "Asymptotic Theory for Beta-t-GARCH," Cambridge Working Papers in Economics 1607, Faculty of Economics, University of Cambridge.
    27. Horváth, Roman & Šopov, Boril, 2016. "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 1-15.
    28. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    29. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    30. Tongshuai Qiao & Liyan Han, 2023. "COVID‐19 and tail risk contagion across commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 242-272, February.
    31. Nazlioglu, Saban & Kucukkaplan, Ilhan & Kilic, Emre & Altuntas, Mehmet, 2022. "Financial market integration of emerging markets: Heavy tails, structural shifts, nonlinearity, and asymmetric persistence," Research in International Business and Finance, Elsevier, vol. 62(C).
    32. Montshioa, Keitumetse & Muteba Mwamba, John Weirstrass & Bonga-Bonga, Lumengo, 2021. "Asset allocation in extreme market conditions: a comparative analysis between developed and emerging economies," MPRA Paper 106248, University Library of Munich, Germany.
    33. Bertrand Groslambert & Devraj Basu & Wan Ni Lai, 2019. "Is tail risk the missing link between institutions and risk?," Economics Bulletin, AccessEcon, vol. 39(2), pages 1435-1448.

  16. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
    See citations under working paper version above.
  17. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.

    Cited by:

    1. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    2. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    3. Michael Grabchak, 2014. "Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?," Annals of Finance, Springer, vol. 10(4), pages 553-568, November.

  18. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.

    Cited by:

    1. Sonia Dissem, 2019. "Asset commonality of European banks," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(1), pages 1-33, March.
    2. Gabaix, Xavier & Laibson, David & Li, Deyuan & Li, Hongyi & Resnick, Sidney & de Vries, Casper G., 2016. "The impact of competition on prices with numerous firms," Journal of Economic Theory, Elsevier, vol. 165(C), pages 1-24.
    3. Dung V. Tran & M. Kabir Hassan & Isabelle Girerd‐Potin & Pascal Louvet, 2020. "Activity Strategies, Agency Problems, And Bank Risk," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(3), pages 575-613, August.
    4. Fricke, Christoph & Fricke, Daniel, 2017. "Vulnerable asset management? The case of mutual funds," Discussion Papers 32/2017, Deutsche Bundesbank.
    5. Fricke, Daniel & Roukny, Tarik, 2020. "Generalists and specialists in the credit market," Journal of Banking & Finance, Elsevier, vol. 112(C).
    6. Bang Nam Jeon & Ji Wu & Limei Chen & Minghua Chen, 2020. "Diversification, efficiency and risk of banks: New consolidating evidence from emerging economies," School of Economics Working Paper Series 2020-10, LeBow College of Business, Drexel University.
    7. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    8. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2018. "Equilibrium with Monoline and Multiline Structures [Uncertainty and the welfare economics of medical care]," Review of Finance, European Finance Association, vol. 22(2), pages 595-632.
    9. Daniel Ritter, 2019. "Mathematical Modeling of Systemic Risk in Financial Networks: Managing Default Contagion and Fire Sales," Papers 1911.07313, arXiv.org.
    10. Bautista Mesa, Rafael & Molina Sánchez, Horacio & Ramírez Sobrino, Jesús Nicolás, 2014. "Main determinants of efficiency and implications on banking concentration in the European Union," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 17(1), pages 78-87.
    11. Dirk Broeders & Leo de Haan & Jan Willem van den End, 2022. "How QE changes the nature of sovereign risk," Working Papers 737, DNB.
    12. Lucchetta, Marcella, 2015. "Does the bank risk concentration freeze the interbank system?," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 149-166.
    13. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    14. Raffestin, Louis, 2014. "Diversification and systemic risk," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 85-106.
    15. Dijk, Oege, 2017. "Bank run psychology," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 87-96.
    16. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    17. Pejman Abedifar & Paolo Giudici & Shatha Hashem, 2017. "Heterogeneous Market Structure and Systemic Risk: Evidence from Dual Banking Systems," DEM Working Papers Series 134, University of Pavia, Department of Economics and Management.
    18. Peter Nystrup & Stephen Boyd & Erik Lindström & Henrik Madsen, 2019. "Multi-period portfolio selection with drawdown control," Annals of Operations Research, Springer, vol. 282(1), pages 245-271, November.
    19. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    20. Fricke, Christoph & Fricke, Daniel, 2017. "Vulnerable Funds?," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168209, Verein für Socialpolitik / German Economic Association.
    21. Chen, Yuyu & Embrechts, Paul & Wang, Ruodu, 2025. "Risk exchange under infinite-mean Pareto models," Insurance: Mathematics and Economics, Elsevier, vol. 124(C).
    22. Brown, Martin & Trautmann, Stefan T. & Vlahu, Razvan, 2014. "Understanding bank-run contagion," Working Paper Series 1711, European Central Bank.
    23. Xiaoming Zhang & Wenzhe Zhang & Chien‐Chiang Lee, 2025. "Bank leverage and systemic risk: Impact of bank risk‐taking and inter‐bank business," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1450-1474, April.
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    27. Balli, Faruk & Basher, Syed Abul & Balli, Hatice Ozer, 2013. "International Income Risk-Sharing and the Global Financial Crisis of 2008--2009," MPRA Paper 43720, University Library of Munich, Germany.
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    29. Elyas Elyasiani & Sotiris K. Staikouras & Panagiotis Dontis-Charitos, 2016. "Cross-Industry Product Diversification and Contagion in Risk and Return: The case of Bank-Insurance and Insurance-Bank Takeovers," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 681-718, September.
    30. Wagner, Wolf & Schaeck, Klaus & Silva Buston, Consuelo, 2017. "The two faces of interbank correlation," CEPR Discussion Papers 12363, C.E.P.R. Discussion Papers.
    31. Alin Marius Andrieş & Mihaela Brodocianu & Nicu Sprincean, 2023. "The role of institutional investors in the financial development," Economic Change and Restructuring, Springer, vol. 56(1), pages 345-378, February.
    32. Tomas Fiala & Tomas Havranek, 2014. "Ailing Mothers, Healthy Daughters? Contagion in the Central European Banking Sector," William Davidson Institute Working Papers Series wp1069, William Davidson Institute at the University of Michigan.
    33. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).
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    36. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    37. Yajing Huang & Taoxiong Liu, 2023. "Diversification and Systemic Risk of Networks Holding Common Assets," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 341-388, January.
    38. Kenta Toyofuku, 2022. "Risk sharing and asset commonality in the financial sector," Economics Bulletin, AccessEcon, vol. 42(1), pages 30-40.
    39. Girardi, Giulio & Hanley, Kathleen W. & Nikolova, Stanislava & Pelizzon, Loriana & Sherman, Mila Getmansky, 2021. "Portfolio similarity and asset liquidation in the insurance industry," Journal of Financial Economics, Elsevier, vol. 142(1), pages 69-96.
    40. van Oordt, Maarten R.C., 2014. "Securitization and the dark side of diversification," Journal of Financial Intermediation, Elsevier, vol. 23(2), pages 214-231.
    41. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    42. Berdin, Elia & Sottocornolay, Matteo, 2015. "Insurance activities and systemic risk," ICIR Working Paper Series 19/15, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    43. Franklin Allen & Xian Gu, 2018. "The Interplay between Regulations and Financial Stability," Journal of Financial Services Research, Springer;Western Finance Association, vol. 53(2), pages 233-248, June.
    44. Alogoskoufis, Spyros & Langfield, Sam, 2019. "Regulating the doom loop," Working Paper Series 2313, European Central Bank.
    45. Nils Detering & Thilo Meyer-Brandis & Konstantinos Panagiotou & Daniel Ritter, 2020. "Suffocating Fire Sales," Papers 2006.08110, arXiv.org, revised Nov 2021.
    46. Fricke, Daniel & Wilke, Hannes, 2020. "Connected Funds," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224511, Verein für Socialpolitik / German Economic Association.
    47. Mariassunta Giannetti & Chotibhak Jotikasthira, 2024. "Bond Price Fragility and the Structure of the Mutual Fund Industry," The Review of Financial Studies, Society for Financial Studies, vol. 37(7), pages 2063-2109.
    48. Christina Bui, 2018. "Bank Regulation and Financial Stability," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2018, January-A.
    49. Ba, Shusong & Li, Lu & Huang, Wenli & Yang, Chen, 2020. "Heterogeneity risks and negative externality," Economic Modelling, Elsevier, vol. 87(C), pages 401-415.
    50. Ayadi, Rym & Bongini, Paola & Casu, Barbara & Cucinelli, Doriana, 2025. "The origin of financial instability and systemic risk: Do bank business models matter?," Journal of Financial Stability, Elsevier, vol. 78(C).
    51. Fiala, Tomas & Havranek, Tomas, 2017. "The sources of contagion risk in a banking sector with foreign ownership," Economic Modelling, Elsevier, vol. 60(C), pages 108-121.
    52. Carlos León, 2017. "Banks in Colombia: how homogeneous are they?," Borradores de Economia 1022, Banco de la Republica de Colombia.
    53. Goldstein, Itay & Kopytov, Alexandr & Shen, Lin & Xiang, Haotian, 2024. "Bank heterogeneity and financial stability," Journal of Financial Economics, Elsevier, vol. 162(C).
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    61. Barbara Casu & Panagiotis Dontis†Charitos & Sotiris Staikouras & Jonathan Williams, 2016. "Diversification, Size and Risk: the Case of Bank Acquisitions of Nonbank Financial Firms," European Financial Management, European Financial Management Association, vol. 22(2), pages 235-275, March.
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    4. Qingnan Xie & Richard B. Freeman, 2020. "The Contribution of Chinese Diaspora Researchers to Global Science and China's Catching Up in Scientific Research," NBER Working Papers 27169, National Bureau of Economic Research, Inc.
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    7. Valente J. Matlaba & Mark J. Holmes & Philip McCann & Jacques Poot, 2013. "A Century Of The Evolution Of The Urban System In Brazil," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 129-151, November.
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    123. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    124. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    125. Kwok Tong Soo, 2015. "Innovation across cities," Working Papers 100098721, Lancaster University Management School, Economics Department.
    126. Samuel Bazzi, 2017. "Wealth Heterogeneity and the Income Elasticity of Migration," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 219-255, April.
    127. Ricardo T. Fernholz & Rory Kramer, 2024. "Racing to Zipf's law: Race and metropolitan population size 1910–2020," Journal of Regional Science, Wiley Blackwell, vol. 64(3), pages 649-670, June.
    128. Marc N. Conte & David L. Kelly, 2016. "An Imperfect Storm: Fat-Tailed Hurricane Damages, Insurance and Climate Policy," Working Papers 2016-01, University of Miami, Department of Economics.
    129. Giulio Bottazzi & Davide Pirino & Federico Tamagni, 2015. "Zipf law and the firm size distribution: a critical discussion of popular estimators," Journal of Evolutionary Economics, Springer, vol. 25(3), pages 585-610, July.
    130. Rolf Bergs, 2018. "The detection of natural cities in the Netherlands—Nocturnal satellite imagery and Zipf’s law [Die Abgrenzung natürlicher Städte in den Niederlanden: Nachtsatellitenbilder und das Zipf-Gesetz]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 111-140, October.
    131. Conte, Marc N. & Kelly, David L., 2018. "An imperfect storm: Fat-tailed tropical cyclone damages, insurance, and climate policy," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 677-706.
    132. Dewitte, Ruben, 2020. "From Heavy-Tailed Micro to Macro: on the characterization of firm-level heterogeneity and its aggregation properties," MPRA Paper 103170, University Library of Munich, Germany.
    133. Rappaport, Jordan & Humann, McKenzie, 2025. "A better delineation of U.S. metropolitan areas," Journal of Urban Economics, Elsevier, vol. 149(C).

  20. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2010. "Pricing and Capital Allocation for Multiline Insurance Firms," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(3), pages 551-578, September.

    Cited by:

    1. John A. Major & Stephen J. Mildenhall, 2020. "Pricing and Capital Allocation for Multiline Insurance Firms With Finite Assets in an Imperfect Market," Papers 2008.12427, arXiv.org.
    2. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2018. "Equilibrium with Monoline and Multiline Structures [Uncertainty and the welfare economics of medical care]," Review of Finance, European Finance Association, vol. 22(2), pages 595-632.
    3. Stoyanova, Rayna & Schlütter, Sebastian, 2012. "Safety versus affordability as targets of insurance regulation in an opaque market: A welfare approach," ICIR Working Paper Series 10/12, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    4. Li Zhang & Norma Nielson, 2012. "Pricing for Multiline Insurer: Frictional Costs, Insolvency, and Asset Allocation," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 15(2), pages 129-152, September.
    5. Daniel Bauer & George Zanjani, 2016. "The Marginal Cost of Risk, Risk Measures, and Capital Allocation," Management Science, INFORMS, vol. 62(5), pages 1431-1457, May.
    6. Zhuo Jin & Huafu Liao & Yue Yang & Xiang Yu, 2019. "Optimal Dividend Strategy for an Insurance Group with Contagious Default Risk," Papers 1909.09511, arXiv.org, revised Oct 2020.
    7. Brent W. Ambrose & Zhongyi Yuan, 2018. "Pricing government credit: a new method for determining government credit risk exposure," Economic Policy Review, Federal Reserve Bank of New York, issue 24-3, pages 41-62.
    8. Georges Dionne & Scott Harrington, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    9. Boonen, Tim J., 2019. "Equilibrium recoveries in insurance markets with limited liability," Journal of Mathematical Economics, Elsevier, vol. 85(C), pages 38-45.
    10. Mao Hong & Wen Zhongkai, 2018. "Optimization of Price, Default Ratio and Capital under Regulatory Criterion of Maximizing Social Benefit," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(2), pages 1-15, July.
    11. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    12. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
    13. Mao Hong & Carson James M. & Ostaszewski Krzysztof M., 2018. "Optimal Price Setting and Insurer Capital Management in a Multiple Line Context," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(1), pages 1-22, January.

  21. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.

    Cited by:

    1. Gabaix, Xavier & Laibson, David & Li, Deyuan & Li, Hongyi & Resnick, Sidney & de Vries, Casper G., 2016. "The impact of competition on prices with numerous firms," Journal of Economic Theory, Elsevier, vol. 165(C), pages 1-24.
    2. Daniel Bauer & Thorsten Moenig, 2023. "Cheaper by the bundle: The interaction of frictions and option exercise in variable annuities," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(2), pages 459-486, June.
    3. Hemant K. Bhargava, 2013. "Mixed Bundling of Two Independently Valued Goods," Management Science, INFORMS, vol. 59(9), pages 2170-2185, September.
    4. Yuyu Chen & Seva Shneer, 2024. "Risk aggregation and stochastic dominance for a class of heavy-tailed distributions," Papers 2408.15033, arXiv.org, revised May 2025.
    5. Xiaoxiao Luo & Minqiang Li & Nan Feng & Fuzan Chen, 2017. "Optimal Design on Customized Bundling Strategy of Information Goods for Customers with Two-Dimensional Heterogeneity," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-32, April.
    6. Chen, Ting & Shan, Feifei & Yang, Feng & Xu, Fengmei, 2023. "Online retailer bundling strategy in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 259(C).
    7. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    8. Pan, Fei & Pan, Shenle & Zhou, Wei & Fan, Tijun, 2022. "Perishable product bundling with logistics uncertainty: Solution based on physical internet," International Journal of Production Economics, Elsevier, vol. 244(C).
    9. Michael Grabchak, 2014. "Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?," Annals of Finance, Springer, vol. 10(4), pages 553-568, November.
    10. Kevin M. Murphy & Ignacio Palacios-Huerta, 2016. "A Theory of Bundling Advertisements in Media Markets," NBER Working Papers 22994, National Bureau of Economic Research, Inc.
    11. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
    12. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
    13. Banciu, M. & Ødegaard, F., 2016. "Optimal product bundling with dependent valuations: The price of independence," European Journal of Operational Research, Elsevier, vol. 255(2), pages 481-495.
    14. Yuyu Chen & Taizhong Hu & Seva Shneer & Zhenfeng Zou, 2025. "Stochastic dominance for linear combinations of infinite-mean risks," Papers 2505.01739, arXiv.org.
    15. Liu Weihua & Yu Hui, 2017. "Pure Components VS Full Mixed Bundling When Stackelberg Pricing," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 435-445, October.

  22. Ibragimov, Rustam & Müller, Ulrich K., 2010. "t-Statistic Based Correlation and Heterogeneity Robust Inference," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 453-468.

    Cited by:

    1. Herault, Nicolas & Jenkins, Stephen P., 2025. "The T-Statistic Approach to Inference for Inequality Indices: The Issue of Grouping Variability," IZA Discussion Papers 17972, Institute of Labor Economics (IZA).
    2. Gary Charness & Ramón Cobo-Reyes & Erik Eyster & Gabriel Katz & Ángela Sánchez & Matthias Sutter, 2020. "Improving healthy eating in children: Experimental evidence," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2021_01, Max Planck Institute for Behavioral Economics.
    3. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    4. Dagaev, Dmitry & Stoyan, Egor, 2020. "Parimutuel betting on the eSports duels: Evidence of the reverse favourite-longshot bias," Journal of Economic Psychology, Elsevier, vol. 81(C).
    5. Hagemann, Andreas, 2025. "Inference on quantile processes with a finite number of clusters," Journal of Econometrics, Elsevier, vol. 249(PA).
    6. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 316, University of California, Davis, Department of Economics.
    7. David Ardia & S'ebastien Laurent & Rosnel Sessinou, 2024. "High-Dimensional Mean-Variance Spanning Tests," Papers 2403.17127, arXiv.org.
    8. Herwartz Helmut & Roestel Jan, 2018. "Local/import – and foreign currency prices: inflation, uncertainty and pass through endogeneity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-17, June.
    9. Jungbin Hwang, 2017. "Simple and Trustworthy Cluster-Robust GMM Inference," Working papers 2017-19, University of Connecticut, Department of Economics, revised Aug 2020.
    10. Hammer, Jeffrey & Spears, Dean, 2013. "Village sanitation and children's human capital : evidence from a randomized experiment by the Maharashtra government," Policy Research Working Paper Series 6580, The World Bank.
    11. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    12. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    13. Zhang, Xianyang, 2016. "Fixed-smoothing asymptotics in the generalized empirical likelihood estimation framework," Journal of Econometrics, Elsevier, vol. 193(1), pages 123-146.
    14. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Oliver Falck & Alexandra Heimisch & Simon Wiederhold, 2016. "Returns to ICT skills," Working Papers 2016/5, Institut d'Economia de Barcelona (IEB).
    16. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2023. "The Variance Risk Premium in Equilibrium Models," Review of Finance, European Finance Association, vol. 27(6), pages 1977-2014.
    17. Filip Stanek, 2021. "Optimal Out-of-Sample Forecast Evaluation under Stationarity," CERGE-EI Working Papers wp712, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
    19. Nagler, Thomas & Krüger, Daniel & Min, Aleksey, 2022. "Stationary vine copula models for multivariate time series," Journal of Econometrics, Elsevier, vol. 227(2), pages 305-324.
    20. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    21. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Other publications TiSEM 80b8e4ed-54bc-4a34-883f-f, Tilburg University, School of Economics and Management.
    22. Zhang, Xianyang & Shao, Xiaofeng, 2013. "On a general class of long run variance estimators," Economics Letters, Elsevier, vol. 120(3), pages 437-441.
    23. Kaplan, David M., 2015. "Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 20-32.
    24. Bruce E. Hansen & Seojeong Lee, 2019. "Asymptotic Theory for Clustered Samples," Papers 1902.01497, arXiv.org.
    25. Harold E. Cuffe & Glen R. Waddell & Wesley Bignell, 2017. "Can School Sports Reduce Racial Gaps In Truancy And Achievement?," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1966-1985, October.
    26. James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
    27. Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
    28. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2024. "Comparing forecasting performance with panel data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 918-941.
    29. Boodoo, Muhammad Umar, 2016. "Does mandatory CSR reporting regulation lead to improved Corporate Social Performance? Evidence from India," LSE Research Online Documents on Economics 67559, London School of Economics and Political Science, LSE Library.
    30. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    31. Luo, Jiawen & Cepni, Oguzhan & Demirer, Riza & Gupta, Rangan, 2025. "Forecasting multivariate volatilities with exogenous predictors: An application to industry diversification strategies," Journal of Empirical Finance, Elsevier, vol. 81(C).
    32. Kuo, Wei-Yu & Lin, Tse-Chun & Zhao, Jing, 2024. "The correlated trading and investment performance of individual investors," Journal of Empirical Finance, Elsevier, vol. 78(C).
    33. Preinerstorfer, David & Pötscher, Benedikt M., 2013. "On Size and Power of Heteroscedasticity and Autocorrelation Robust Tests," MPRA Paper 45675, University Library of Munich, Germany.
    34. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    35. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
    36. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    37. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    38. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    39. Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
    40. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.
    41. Peter Van Tassel, 2017. "Global Variance Term Premia and Intermediary Risk Appetite," 2017 Meeting Papers 149, Society for Economic Dynamics.
    42. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    43. Tobias Pfaff & Johannes Hirata, 2013. "Testing the Easterlin Hypothesis with Panel Data: The Dynamic Relationship between Life Satisfaction and Economic Growth in Germany and the UK," SOEPpapers on Multidisciplinary Panel Data Research 554, DIW Berlin, The German Socio-Economic Panel (SOEP).
    44. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference For Clustered Errors," Working Paper 1315, Economics Department, Queen's University.
    45. Timothy Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2022. "Bootstrap Inference Under Cross Sectional Dependence," Working papers 2022-14, University of Connecticut, Department of Economics.
    46. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    47. Bohl Martin T., 2016. "Treiben Indexfonds Agrarrohstoffpreise? Nein!," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 17(2), pages 155-171, July.
    48. Da Zhang & Valerie J. Karplus, 2025. "Management practices and manufacturing firm responses to a randomized energy audit," Nature Energy, Nature, vol. 10(5), pages 557-568, May.
    49. Casini, Alessandro, 2024. "The fixed-b limiting distribution and the ERP of HAR tests under nonstationarity," Journal of Econometrics, Elsevier, vol. 238(2).
    50. Nawaz, Nasreen, 2017. "Robust Inference by Sub-sampling," MPRA Paper 116721, University Library of Munich, Germany, revised 08 Jun 2019.
    51. Charness, Gary & Cobo-Reyes, Ramón & Eyster, Erik & Katz, Gabriel & Sánchez, Ángela & Sutter, Matthias, 2023. "Improving children's food choices: Experimental evidence from the field," European Economic Review, Elsevier, vol. 159(C).
    52. Sun, Yixiao & Yang, Jingjing, 2020. "Testing-optimal kernel choice in HAR inference," Journal of Econometrics, Elsevier, vol. 219(1), pages 123-136.
    53. Kolokotrones, Thomas & Stock, James H. & Walker, Christopher D., 2024. "Is Newey–West optimal among first-order kernels?," Journal of Econometrics, Elsevier, vol. 240(2).
    54. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "Debiasing and $t$-tests for synthetic control inference on average causal effects," Papers 1812.10820, arXiv.org, revised May 2025.
    55. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    56. Anatolyev Stanislav, 2019. "Volatility filtering in estimation of kurtosis (and variance)," Dependence Modeling, De Gruyter, vol. 7(1), pages 1-23, February.
    57. Alan S. Blinder & Mark W. Watson, 2014. "Presidents and the U.S. Economy: An Econometric Exploration," NBER Working Papers 20324, National Bureau of Economic Research, Inc.
    58. Araya, Roberto & Arias Ortiz, Elena & Bottan, Nicolas & Cristia, Julian, 2025. "Integrating learning platforms within regular school time: experimental evidence from Chilean primary schools," Economics of Education Review, Elsevier, vol. 106(C).
    59. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
    60. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.
    61. Sun, Yixiao, 2013. "Fixed-smoothing Asymptotics in a Two-step GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
    62. James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference For Wildly Different Cluster Sizes," Working Paper 1314, Economics Department, Queen's University.
    63. Petar Stankov, 2018. "The Political Economy of Populism: An Empirical Investigation," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(2), pages 230-253, June.
    64. Oriana Bandiera & Iwan Barankay & Imran Rasul, 2011. "Field Experiments with Firms," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 63-82, Summer.
    65. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    66. Pfaff, Tobias & Hirata, Johannes, 2013. "Testing the Easterlin hypothesis with panel data: The dynamic relationship between life satisfaction and economic growth in Germany and in the UK," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79965, Verein für Socialpolitik / German Economic Association.
    67. Stefano DellaVigna & Guido Imbens & Woojin Kim & David M. Ritzwoller, 2025. "Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation," Papers 2504.13295, arXiv.org.
    68. Conley, Timothy G. & Kelly, Morgan, 2025. "The standard errors of persistence," Journal of International Economics, Elsevier, vol. 153(C).
    69. Pötscher, Benedikt M. & Preinerstorfer, David, 2021. "Valid Heteroskedasticity Robust Testing," MPRA Paper 107420, University Library of Munich, Germany.
    70. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.
    71. Cai, Yong & Rafi, Ahnaf, 2024. "On the performance of the Neyman Allocation with small pilots," Journal of Econometrics, Elsevier, vol. 242(1).
    72. Zhang, Jingsi & Jiang, Wenxin & Shao, Xiaofeng, 2013. "Bayesian model selection based on parameter estimates from subsamples," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 979-986.
    73. Bobonis, Gustavo J. & Stabile, Mark & Tovar, Leonardo, 2020. "Military training exercises, pollution, and their consequences for health," Journal of Health Economics, Elsevier, vol. 73(C).
    74. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.
    75. Pfaff, Tobias & Hirata, Johannes, 2013. "Testing the Easterlin hypothesis with panel data: The dynamic relationship between life satisfaction and economic growth in Germany and in the UK," CIW Discussion Papers 4/2013, University of Münster, Center for Interdisciplinary Economics (CIW).
    76. Valentin Verdier, 2020. "Estimation and Inference for Linear Models with Two-Way Fixed Effects and Sparsely Matched Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 1-16, March.
    77. Dwight R. Sanders & Scott H. Irwin, 2017. "Bubbles, Froth and Facts: Another Look at the Masters Hypothesis in Commodity Futures Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 345-365, June.
    78. Raheem, Ibrahim D. & Akinkugbe, Oluyele & Vo, Xuan Vinh, 2025. "Oil shocks greasing the wheels of Islamic stocks: An explorative forecasting analysis," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 546-557.
    79. Irwin, Scott H. & Sanders, Dwight R., 2012. "Testing the Masters Hypothesis in commodity futures markets," Energy Economics, Elsevier, vol. 34(1), pages 256-269.
    80. Skrobotov, Anton, 2022. "On robust testing for trend," Economics Letters, Elsevier, vol. 212(C).
    81. Brown, Donald & Ibragimov, Rustam, 2019. "Sign tests for dependent observations," Econometrics and Statistics, Elsevier, vol. 10(C), pages 1-8.
    82. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    83. Andreas Hagemann, 2023. "Inference on quantile processes with a finite number of clusters," Papers 2301.04687, arXiv.org, revised Jun 2023.
    84. Huang Zibin & Ibragimov Rustam, 2022. "Equity returns and sentiment," Dependence Modeling, De Gruyter, vol. 10(1), pages 159-176, January.
    85. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    86. Hartmann, Matthias & Roestel, Jan, 2013. "Inflation, output and uncertainty in the era of inflation targeting – A multi-economy view on causal linkages," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 98-112.
    87. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
    88. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    89. Yong Cai & Ivan A. Canay & Deborah Kim & Azeem M. Shaikh, 2021. "On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters," Papers 2102.09058, arXiv.org, revised Mar 2022.
    90. Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
    91. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    92. Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B., 2011. "Inference with dependent data using cluster covariance estimators," Journal of Econometrics, Elsevier, vol. 165(2), pages 137-151.
    93. Spears, Dean, 2014. "Decision costs and price sensitivity: Field experimental evidence from India," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 169-184.
    94. Dmitry Arkhangelsky & Vasily Korovkin, 2020. "On Policy Evaluation with Aggregate Time-Series Shocks," CERGE-EI Working Papers wp657, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    95. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.

  23. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2009. "Nondiversification Traps in Catastrophe Insurance Markets," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 959-993.

    Cited by:

    1. Gabaix, Xavier & Laibson, David & Li, Deyuan & Li, Hongyi & Resnick, Sidney & de Vries, Casper G., 2016. "The impact of competition on prices with numerous firms," Journal of Economic Theory, Elsevier, vol. 165(C), pages 1-24.
    2. Robert Hartwig & Greg Niehaus & Joseph Qiu, 2020. "Insurance for economic losses caused by pandemics," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 134-170, September.
    3. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2018. "Equilibrium with Monoline and Multiline Structures [Uncertainty and the welfare economics of medical care]," Review of Finance, European Finance Association, vol. 22(2), pages 595-632.
    4. Chollete, Lorán & Jaffee, Dwight & Mamun, Khawaja A., 2022. "Policy suggestions from a simple framework with extreme outcomes," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 374-398.
    5. Sio Chong U & Jacky So & Deng Ding & Lihong Liu, 2016. "An efficient Fourier expansion method for the calculation of value-at-risk: Contributions of extra-ordinary risks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-27, March.
    6. 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.
    7. Matthias Degen & Dominik D. Lambrigger & Johan Segers, 2009. "Risk Concentration and Diversification: Second-Order Properties," Papers 0910.2367, arXiv.org, revised Dec 2009.
    8. Paolo Riccardo Morganti, 2021. "Extreme Value Theory and Auction Models," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(2), pages 1-15, Abril - J.
    9. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2012. "How to Calculate Systemic Risk Surcharges," NBER Chapters, in: Quantifying Systemic Risk, pages 175-212, National Bureau of Economic Research, Inc.
    10. Michael R. Powers & Thomas Y. Powers & Siwei Gao, 2012. "Risk Finance for Catastrophe Losses with Pareto‐Calibrated Lévy‐Stable Severities," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1967-1977, November.
    11. Stylianos Perrakis & Ali Boloorforoosh, 2018. "Catastrophe futures and reinsurance contracts: An incomplete markets approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 104-128, January.
    12. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
    13. Alfred Muller, 2024. "Some remarks on the effect of risk sharing and diversification for infinite mean risks," Papers 2411.10139, arXiv.org, revised Mar 2025.
    14. Braun, Alexander & Braun, Julia & Weigert, Florian, 2023. "Extreme weather risk and the cost of equity," CFR Working Papers 23-08, University of Cologne, Centre for Financial Research (CFR).
    15. Rustam Ibragimov & Marat Ibragimov & Jovlon Karimov & Galiya Yuldasheva, 2012. "Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches," wiiw Balkan Observatory Working Papers 105, The Vienna Institute for International Economic Studies, wiiw.
    16. Wu, Yang-Che, 2015. "Reexamining the feasibility of diversification and transfer instruments on smoothing catastrophe risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 54-66.
    17. Rustam Ibragimov & Marat Ibragimov & Rufat Khamidov, 2010. "Measuring Inequality in CIS Countries: Theory and Empirics," wiiw Balkan Observatory Working Papers 88, The Vienna Institute for International Economic Studies, wiiw.
    18. Radoslav Raykov, 2015. "Catastrophe insurance equilibrium with correlated claims," Theory and Decision, Springer, vol. 78(1), pages 89-115, January.
    19. Daniel Bauer & George Zanjani, 2016. "The Marginal Cost of Risk, Risk Measures, and Capital Allocation," Management Science, INFORMS, vol. 62(5), pages 1431-1457, May.
    20. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    21. Asu Ozdaglar & Alireza Tahbaz-Salehi & Daron Acemoglu, 2015. "Microeconomic Origins of Macroeconomic Tail Risks," 2015 Meeting Papers 314, Society for Economic Dynamics.
    22. Sokhanvar, Amin & Çiftçioğlu, Serhan & Lee, Chien-Chiang, 2023. "The effect of energy price shocks on commodity currencies during the war in Ukraine," Resources Policy, Elsevier, vol. 82(C).
    23. Upreti, Vineet & Adams, Mike, 2015. "The strategic role of reinsurance in the United Kingdom’s (UK) non-life insurance market," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 206-219.
    24. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2018. "The cross-section of expected stock returns in the property/liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 292-321.
    25. Jie Shao, 2022. "Model assessment of public–private partnership flood insurance systems: an empirical study of Japan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 79-102, January.
    26. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    27. Spencer Wheatley & Annette Hofmann & Didier Sornette, 2021. "Addressing insurance of data breach cyber risks in the catastrophe framework," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(1), pages 53-78, January.
    28. Degen, Matthias & Lambrigger, Dominik D. & Segers, Johan, 2010. "Risk concentration and diversification: Second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 541-546, June.
    29. Subramanian, Ajay & Wang, Jinjing, 2021. "Capital, aggregate risk, insurance prices and regulation," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 156-192.
    30. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    31. Cui, Hengxin & Tan, Ken Seng & Yang, Fan & Zhou, Chen, 2022. "Asymptotic analysis of portfolio diversification," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 302-325.

  24. Rustam Ibragimov, 2009. "Portfolio diversification and value at risk under thick-tailedness," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 565-580.

    Cited by:

    1. Di Lascio, F. Marta L. & Giammusso, Davide & Puccetti, Giovanni, 2018. "A clustering approach and a rule of thumb for risk aggregation," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 236-248.
    2. Hwang, Inchang & Xu, Simon & In, Francis, 2018. "Naive versus optimal diversification: Tail risk and performance," European Journal of Operational Research, Elsevier, vol. 265(1), pages 372-388.
    3. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    4. Claudia Kluppelberg & Miriam Isabel Seifert, 2016. "Conditional loss probabilities for systems of economic agents sharing light-tailed claims with analysis of portfolio diversification benefits," Papers 1612.07132, arXiv.org.
    5. Sio Chong U & Jacky So & Deng Ding & Lihong Liu, 2016. "An efficient Fourier expansion method for the calculation of value-at-risk: Contributions of extra-ordinary risks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-27, March.
    6. Hyung, Namwon & de Vries, Casper G., 2012. "Simulating and calibrating diversification against black swans," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1162-1175.
    7. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    8. Oliver Kley & Claudia Kluppelberg & Gesine Reinert, 2015. "Conditional risk measures in a bipartite market structure," Papers 1510.00616, arXiv.org.
    9. Yannick Hoga & Matei Demetrescu, 2023. "Monitoring Value-at-Risk and Expected Shortfall Forecasts," Management Science, INFORMS, vol. 69(5), pages 2954-2971, May.
    10. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    11. Muteba Mwamba, John Weirstrass & Tchuinkam Djemo, Charles Raoul, 2019. "Exchange Rate Risk and International Equity Portfolio Diversification: A South African Investor’s Perspective," MPRA Paper 97338, University Library of Munich, Germany.
    12. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    13. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    14. Steven Kou & Xianhua Peng, 2014. "On the Measurement of Economic Tail Risk," Papers 1401.4787, arXiv.org, revised Aug 2015.
    15. Enrico G. De Giorgi & Ola Mahmoud, 2016. "Naive Diversification Preferences and their Representation," Papers 1611.01285, arXiv.org, revised Nov 2016.
    16. Argimiro Arratia & Henryk Gzyl & Silvia Mayoral, 2024. "How to Keep Your Portfolio Close in Risk and Diversification to a Desired Benchmark," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1489-1505, September.
    17. Enrico Biffis & Erik Chavez, 2014. "Tail Risk in Commercial Property Insurance," Risks, MDPI, vol. 2(4), pages 1-18, September.
    18. Oliver Kley & Claudia Kluppelberg & Gesine Reinert, 2014. "Risk in a large claims insurance market with bipartite graph structure," Papers 1410.8671, arXiv.org, revised Nov 2015.
    19. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    20. Tong, Bin & Wu, Chongfeng & Xu, Weidong, 2012. "Risk concentration of aggregated dependent risks: The second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 139-149.
    21. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.
    22. Joel Hinaunye Eita & Charles Raoul Tchuinkam Djemo, 2022. "Quantifying Foreign Exchange Risk in the Selected Listed Sectors of the Johannesburg Stock Exchange: An SV-EVT Pairwise Copula Approach," IJFS, MDPI, vol. 10(2), pages 1-29, April.
    23. Michael Grabchak, 2014. "Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?," Annals of Finance, Springer, vol. 10(4), pages 553-568, November.
    24. Chen, Yuyu & Hu, Taizhong & Wang, Ruodu & Zou, Zhenfeng, 2025. "Diversification for infinite-mean Pareto models without risk aversion," European Journal of Operational Research, Elsevier, vol. 323(1), pages 341-350.
    25. Steven Kou & Xianhua Peng, 2016. "On the Measurement of Economic Tail Risk," Operations Research, INFORMS, vol. 64(5), pages 1056-1072, October.
    26. Wenhao Zhu & Lujun Li & Jingping Yang & Jiehua Xie & Liulei Sun, 2023. "Asymptotic subadditivity/superadditivity of Value‐at‐Risk under tail dependence," Mathematical Finance, Wiley Blackwell, vol. 33(4), pages 1314-1369, October.
    27. Takashi Kanamura, 2023. "Portfolio diversification and sustainable assets from new perspectives," Journal of Asset Management, Palgrave Macmillan, vol. 24(7), pages 581-600, December.
    28. Pertaia, Giorgi & Prokhorov, Artem & Uryasev, Stan, 2022. "A new approach to credit ratings," Journal of Banking & Finance, Elsevier, vol. 140(C).
    29. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
    30. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
    31. Andrei Ankudinov & Rustam Ibragimov & Oleg Lebedev, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
    32. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    33. Yuyu Chen & Paul Embrechts & Ruodu Wang, 2022. "An unexpected stochastic dominance: Pareto distributions, dependence, and diversification," Papers 2208.08471, arXiv.org, revised Mar 2024.
    34. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    35. Claudia Klüppelberg & Miriam Isabel Seifert, 2019. "Financial risk measures for a network of individual agents holding portfolios of light-tailed objects," Finance and Stochastics, Springer, vol. 23(4), pages 795-826, October.
    36. Oliver Kley & Claudia Klüppelberg & Gesine Reinert, 2016. "Risk in a Large Claims Insurance Market with Bipartite Graph Structure," Operations Research, INFORMS, vol. 64(5), pages 1159-1176, October.
    37. Lundtofte, Frederik, 2015. "Banks’ pooling of corporate debt: An application of the restated diversification theorem," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 249-263.
    38. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.
    39. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.

  25. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2009. "Nondiversification Traps in Catastrophe Insurance Markets," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 959-993, March.

    Cited by:

    1. Gabaix, Xavier & Laibson, David & Li, Deyuan & Li, Hongyi & Resnick, Sidney & de Vries, Casper G., 2016. "The impact of competition on prices with numerous firms," Journal of Economic Theory, Elsevier, vol. 165(C), pages 1-24.
    2. Robert Hartwig & Greg Niehaus & Joseph Qiu, 2020. "Insurance for economic losses caused by pandemics," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 134-170, September.
    3. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2018. "Equilibrium with Monoline and Multiline Structures [Uncertainty and the welfare economics of medical care]," Review of Finance, European Finance Association, vol. 22(2), pages 595-632.
    4. Chollete, Lorán & Jaffee, Dwight & Mamun, Khawaja A., 2022. "Policy suggestions from a simple framework with extreme outcomes," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 374-398.
    5. Sio Chong U & Jacky So & Deng Ding & Lihong Liu, 2016. "An efficient Fourier expansion method for the calculation of value-at-risk: Contributions of extra-ordinary risks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-27, March.
    6. 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.
    7. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    8. Matthias Degen & Dominik D. Lambrigger & Johan Segers, 2009. "Risk Concentration and Diversification: Second-Order Properties," Papers 0910.2367, arXiv.org, revised Dec 2009.
    9. Paolo Riccardo Morganti, 2021. "Extreme Value Theory and Auction Models," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(2), pages 1-15, Abril - J.
    10. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2015. "Asset Pricing of Financial Insitutions: The Cross-Section of Expected Stock Returns in the Property/Liability Insurance Industry," Working Papers on Finance 1516, University of St. Gallen, School of Finance.
    11. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    12. Michael R. Powers & Thomas Y. Powers & Siwei Gao, 2012. "Risk Finance for Catastrophe Losses with Pareto‐Calibrated Lévy‐Stable Severities," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1967-1977, November.
    13. Stylianos Perrakis & Ali Boloorforoosh, 2018. "Catastrophe futures and reinsurance contracts: An incomplete markets approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 104-128, January.
    14. Vijay Aseervatham & Patricia Born & Dominik Lohmaier & Andreas Richter, 2017. "Hazard-Specific Supply Reactions in the Aftermath of Natural Disasters," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(2), pages 193-225, April.
    15. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
    16. Alfred Muller, 2024. "Some remarks on the effect of risk sharing and diversification for infinite mean risks," Papers 2411.10139, arXiv.org, revised Mar 2025.
    17. Braun, Alexander & Braun, Julia & Weigert, Florian, 2023. "Extreme weather risk and the cost of equity," CFR Working Papers 23-08, University of Cologne, Centre for Financial Research (CFR).
    18. Wu, Yang-Che, 2015. "Reexamining the feasibility of diversification and transfer instruments on smoothing catastrophe risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 54-66.
    19. Rustam Ibragimov & Marat Ibragimov & Rufat Khamidov, 2010. "Measuring Inequality in CIS Countries: Theory and Empirics," wiiw Balkan Observatory Working Papers 88, The Vienna Institute for International Economic Studies, wiiw.
    20. Radoslav Raykov, 2015. "Catastrophe insurance equilibrium with correlated claims," Theory and Decision, Springer, vol. 78(1), pages 89-115, January.
    21. Daniel Bauer & George Zanjani, 2016. "The Marginal Cost of Risk, Risk Measures, and Capital Allocation," Management Science, INFORMS, vol. 62(5), pages 1431-1457, May.
    22. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    23. Sokhanvar, Amin & Çiftçioğlu, Serhan & Lee, Chien-Chiang, 2023. "The effect of energy price shocks on commodity currencies during the war in Ukraine," Resources Policy, Elsevier, vol. 82(C).
    24. Upreti, Vineet & Adams, Mike, 2015. "The strategic role of reinsurance in the United Kingdom’s (UK) non-life insurance market," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 206-219.
    25. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2018. "The cross-section of expected stock returns in the property/liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 292-321.
    26. Jie Shao, 2022. "Model assessment of public–private partnership flood insurance systems: an empirical study of Japan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 79-102, January.
    27. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    28. Dirk Brounen & Jeroen Derwall, 2010. "The Impact of Terrorist Attacks on International Stock Markets," European Financial Management, European Financial Management Association, vol. 16(4), pages 585-598, September.
    29. Spencer Wheatley & Annette Hofmann & Didier Sornette, 2021. "Addressing insurance of data breach cyber risks in the catastrophe framework," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(1), pages 53-78, January.
    30. Ibragimov, Marat & Ibragimov, Rustam & Kattuman, Paul, 2013. "Emerging markets and heavy tails," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2546-2559.
    31. Degen, Matthias & Lambrigger, Dominik D. & Segers, Johan, 2010. "Risk concentration and diversification: Second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 541-546, June.
    32. Subramanian, Ajay & Wang, Jinjing, 2021. "Capital, aggregate risk, insurance prices and regulation," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 156-192.
    33. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    34. Thomas Holzheu & Ginger Turner, 2018. "The Natural Catastrophe Protection Gap: Measurement, Root Causes and Ways of Addressing Underinsurance for Extreme Events†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 37-71, January.
    35. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
    36. Cui, Hengxin & Tan, Ken Seng & Yang, Fan & Zhou, Chen, 2022. "Asymptotic analysis of portfolio diversification," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 302-325.
    37. Cordella, Tito & Yeyati, Eduardo Levy, 2015. "CATalytic Insurance: The Case of Natural Disasters," Working Paper Series 15-055, Harvard University, John F. Kennedy School of Government.

  26. Ibragimov, Rustam, 2009. "Copula-Based Characterizations For Higher Order Markov Processes," Econometric Theory, Cambridge University Press, vol. 25(3), pages 819-846, June.

    Cited by:

    1. Smith, Michael Stanley, 2015. "Copula modelling of dependence in multivariate time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 815-833.
    2. Chen, Xiaohong & Yi, Yanping, 2025. "Information bounds for Gaussian copula parameter in stationary semiparametric Markov models," Statistics & Probability Letters, Elsevier, vol. 216(C).
    3. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    4. Cherubini, Umberto & Mulinacci, Sabrina & Romagnoli, Silvia, 2011. "A copula-based model of speculative price dynamics in discrete time," Journal of Multivariate Analysis, Elsevier, vol. 102(6), pages 1047-1063, July.
    5. Rub'en Loaiza-Maya & Michael S. Smith & Worapree Maneesoonthorn, 2017. "Time Series Copulas for Heteroskedastic Data," Papers 1701.07152, arXiv.org.
    6. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    7. Jialing Han & Yu-Ning Li, 2025. "Approximate Factor Model with S-vine Copula Structure," Papers 2508.11619, arXiv.org.
    8. Xiaohong Chen & Zhijie Xiao & Bo Wang, 2020. "Copula-Based Time Series With Filtered Nonstationarity," Cowles Foundation Discussion Papers 2242, Cowles Foundation for Research in Economics, Yale University.
    9. Nagler, Thomas & Krüger, Daniel & Min, Aleksey, 2022. "Stationary vine copula models for multivariate time series," Journal of Econometrics, Elsevier, vol. 227(2), pages 305-324.
    10. Chen, Xiaohong & Xiao, Zhijie & Wang, Bo, 2022. "Copula-based time series with filtered nonstationarity," Journal of Econometrics, Elsevier, vol. 228(1), pages 127-155.
    11. Azam, Kazim & Pitt, Michael, "undated". "Bayesian Inference for a Semi-Parametric Copula-based Markov Chain," Economic Research Papers 270232, University of Warwick - Department of Economics.
    12. Jean-David Fermanian, 2012. "An overview of the goodness-of-fit test problem for copulas," Papers 1211.4416, arXiv.org.
    13. Overbeck Ludger & Schmidt Wolfgang M., 2015. "Multivariate Markov Families of Copulas," Dependence Modeling, De Gruyter, vol. 3(1), pages 1-13, October.
    14. Wu, Shaomin, 2019. "A failure process model with the exponential smoothing of intensity functions," European Journal of Operational Research, Elsevier, vol. 275(2), pages 502-513.
    15. Longla, Martial & Muia Nthiani, Mathias & Djongreba Ndikwa, Fidel, 2022. "Dependence and mixing for perturbations of copula-based Markov chains," Statistics & Probability Letters, Elsevier, vol. 180(C).
    16. Smith, Michael Stanley, 2023. "Implicit Copulas: An Overview," Econometrics and Statistics, Elsevier, vol. 28(C), pages 81-104.
    17. Beare, Brendan K. & Seo, Juwon, 2012. "Time irreversible copula-based Markov Models," University of California at San Diego, Economics Working Paper Series qt31f8500p, Department of Economics, UC San Diego.
    18. Azam, Kazim & Pitt, Michael, 2014. "Bayesian Inference for a Semi-Parametric Copula-based Markov Chain," The Warwick Economics Research Paper Series (TWERPS) 1051, University of Warwick, Department of Economics.
    19. Power, Gabriel J. & Vedenov, Dmitry V., 2008. "The Shape of the Optimal Hedge Ratio: Modeling Joint Spot-Futures Prices using an Empirical Copula-GARCH Model," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37609, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    20. Guilherme Pumi & Taiane S. Prass & Sílvia R. C. Lopes, 2024. "A novel copula-based approach for parametric estimation of univariate time series through its covariance decay," Statistical Papers, Springer, vol. 65(2), pages 1041-1063, April.
    21. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2013. "Estimating non-linear serial and cross-interdependence between financial assets," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 837-846.
    22. Eugen Ivanov & Aleksey Min & Franz Ramsauer, 2017. "Copula-Based Factor Models for Multivariate Asset Returns," Econometrics, MDPI, vol. 5(2), pages 1-24, May.
    23. Bladt Martin & McNeil Alexander J., 2022. "Time series with infinite-order partial copula dependence," Dependence Modeling, De Gruyter, vol. 10(1), pages 87-107, January.
    24. Michael Stanley Smith, 2021. "Implicit Copulas: An Overview," Papers 2109.04718, arXiv.org.
    25. Fred Espen Benth & Giulia Di Nunno & Dennis Schroers, 2022. "Copula measures and Sklar's theorem in arbitrary dimensions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1144-1183, September.
    26. Shulin Zhang & Qian M. Zhou & Huazhen Lin, 2021. "Goodness-of-fit test of copula functions for semi-parametric univariate time series models," Statistical Papers, Springer, vol. 62(4), pages 1697-1721, August.
    27. Martin Bladt & Alexander J. McNeil, 2020. "Time series copula models using d-vines and v-transforms," Papers 2006.11088, arXiv.org, revised Jul 2021.
    28. Beare, Brendan K., 2010. "Archimedean Copulas and Temporal Dependence," University of California at San Diego, Economics Working Paper Series qt0xh8q1g3, Department of Economics, UC San Diego.
    29. Brendan K. Beare & Juwon Seo, 2015. "Vine Copula Specifications for Stationary Multivariate Markov Chains," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 228-246, March.
    30. Nadarajah, Saralees, 2015. "Expansions for bivariate copulas," Statistics & Probability Letters, Elsevier, vol. 100(C), pages 77-84.
    31. Fang, Jun & Jiang, Fan & Liu, Yong & Yang, Jingping, 2020. "Copula-based Markov process," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 166-187.
    32. Alexander J. McNeil, 2020. "Modelling volatile time series with v-transforms and copulas," Papers 2002.10135, arXiv.org, revised Jan 2021.
    33. Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2020. "Copula stochastic volatility in oil returns: Approximate Bayesian computation with volatility prediction," Energy Economics, Elsevier, vol. 92(C).
    34. Henry Penikas, 2016. "Copula-Based Univariate Time Series Structural Shift Identification Test," Papers 1609.05056, arXiv.org.
    35. Liang Zhu & Christine Lim & Wenjun Xie & Yuan Wu, 2017. "Analysis of tourism demand serial dependence structure for forecasting," Tourism Economics, , vol. 23(7), pages 1419-1436, November.
    36. Czado, Claudia & Ivanov, Eugen & Okhrin, Yarema, 2019. "Modelling temporal dependence of realized variances with vines," Econometrics and Statistics, Elsevier, vol. 12(C), pages 198-216.
    37. Bladt, Martin & McNeil, Alexander J., 2022. "Time series copula models using d-vines and v-transforms," Econometrics and Statistics, Elsevier, vol. 24(C), pages 27-48.
    38. Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
    39. Fermanian, Jean-David & Wegkamp, Marten H., 2012. "Time-dependent copulas," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 19-29.
    40. Patton, Andrew, 2013. "Copula Methods for Forecasting Multivariate Time Series," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 899-960, Elsevier.
    41. Juwon Seo, 2018. "Randomization Tests for Equality in Dependence Structure," Papers 1811.02105, arXiv.org.
    42. Wei, Li & Yuan, Zhongyi, 2016. "The loss given default of a low-default portfolio with weak contagion," Insurance: Mathematics and Economics, Elsevier, vol. 66(C), pages 113-123.

  27. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.

    Cited by:

    1. Jin, Hao & Tian, Zheng & Qin, Ruibing, 2009. "Bootstrap tests for structural change with infinite variance observations," Statistics & Probability Letters, Elsevier, vol. 79(19), pages 1985-1995, October.

  28. Ibragimov, Rustam & Phillips, Peter C.B., 2008. "Regression Asymptotics Using Martingale Convergence Methods," Econometric Theory, Cambridge University Press, vol. 24(4), pages 888-947, August.
    See citations under working paper version above.
  29. Ibragimov, Rustam & Walden, Johan, 2008. "Portfolio diversification under local and moderate deviations from power laws," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 594-599, April.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Zhou, Chen, 2010. "Dependence structure of risk factors and diversification effects," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 531-540, June.
    3. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    4. Valérie Chavez-Demoulin & Paul Embrechts & Marius Hofert, 2016. "An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 735-776, September.
    5. Kyle Moore & Pengfei Sun & Casper de Vries & Chen Zhou, 2013. "Shape Homogeneity and Scale Heterogeneity of Downside Tail Risk," Working Papers 13-13, Chapman University, Economic Science Institute.
    6. Tong, Bin & Wu, Chongfeng & Xu, Weidong, 2012. "Risk concentration of aggregated dependent risks: The second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 139-149.
    7. Michael Grabchak, 2014. "Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?," Annals of Finance, Springer, vol. 10(4), pages 553-568, November.
    8. Embrechts, Paul & Puccetti, Giovanni, 2010. "Bounds for the sum of dependent risks having overlapping marginals," Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 177-190, January.
    9. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
    10. Moore, Kyle & Sun, Pengfei & de Vries, Casper G. & Zhou, Chen, 2013. "The cross-section of tail risks in stock returns," MPRA Paper 45592, University Library of Munich, Germany.
    11. Moore, Kyle & Sun, Pengei & de Vries, Casper G. & Zhou, Chen, 2013. "The drivers of downside equity tail risk," MPRA Paper 45591, University Library of Munich, Germany.

  30. Marat Ibragimov & Rustam Ibragimov, 2007. "Market Demand Elasticity and Income Inequality," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 32(3), pages 579-587, September.
    See citations under working paper version above.
  31. Ibragimov, Rustam, 2007. "Efficiency Of Linear Estimators Under Heavy-Tailedness: Convolutions Of Α-Symmetric Distributions," Econometric Theory, Cambridge University Press, vol. 23(3), pages 501-517, June.

    Cited by:

    1. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    2. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    3. Ibragimov Marat & Khamidov Rufat, 2010. "Heavy-Tailedness and Volatility in Emerging Foreign Exchange Markets: Theory and Empirics," EERC Working Paper Series 10/06e, EERC Research Network, Russia and CIS.
    4. Ba, Shusong & Li, Lu & Huang, Wenli & Yang, Chen, 2020. "Heterogeneity risks and negative externality," Economic Modelling, Elsevier, vol. 87(C), pages 401-415.
    5. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.
    6. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
    7. Ibragimov, Marat & Ibragimov, Rustam & Kattuman, Paul, 2013. "Emerging markets and heavy tails," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2546-2559.
    8. Andrei Ankudinov & Rustam Ibragimov & Oleg Lebedev, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
    9. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    10. Ju, Shan & Pan, Xiaoqing, 2016. "A new proof for the peakedness of linear combinations of random variables," Statistics & Probability Letters, Elsevier, vol. 114(C), pages 93-98.

  32. Ibragimov, Rustam & Walden, Johan, 2007. "The limits of diversification when losses may be large," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2551-2569, August.

    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2011. "Value at risk and efficiency under dependence and heavy-tailedness: models with common shocks," Annals of Finance, Springer, vol. 7(3), pages 285-318, August.
    2. Abedifar, Pejman & Li, Ming & Johnson, Dean & Song, Liang & Xing, Saipeng, 2019. "Accounting regulations, enforcement, and stock price crash risk: Global evidence in the banking industry," Journal of Contemporary Accounting and Economics, Elsevier, vol. 15(3).
    3. Hwang, Inchang & Xu, Simon & In, Francis, 2018. "Naive versus optimal diversification: Tail risk and performance," European Journal of Operational Research, Elsevier, vol. 265(1), pages 372-388.
    4. Chernobai, Anna & Yildirim, Yildiray, 2008. "The dynamics of operational loss clustering," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2655-2666, December.
    5. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    6. Ibragimov, Rustam, 2008. "Heavy-tailedness and threshold sex determination," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2804-2810, November.
    7. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    8. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2025. "Portfolio Selection under Systemic Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(4), pages 905-949, June.
    9. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    10. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    11. Matthias Degen & Dominik D. Lambrigger & Johan Segers, 2009. "Risk Concentration and Diversification: Second-Order Properties," Papers 0910.2367, arXiv.org, revised Dec 2009.
    12. Chollete, Loran & Pena, Victor de la & Lu, Ching-Chih, 2009. "International Diversification: A Copula Approach," UiS Working Papers in Economics and Finance 2009/27, University of Stavanger.
    13. Andreas Mühlbacher & Thomas Guhr, 2018. "Extreme Portfolio Loss Correlations in Credit Risk," Risks, MDPI, vol. 6(3), pages 1-25, July.
    14. Alexeev, Vitali & Tapon, Francis, 2013. "Equity Portfolio Diversification: How Many Stocks are Enough? Evidence from Five Developed Markets," Working Papers 2013-16, University of Tasmania, Tasmanian School of Business and Economics, revised 20 Nov 2013.
    15. Mainik Georg & Rüschendorf Ludger, 2012. "Ordering of multivariate risk models with respect to extreme portfolio losses," Statistics & Risk Modeling, De Gruyter, vol. 29(1), pages 73-106, March.
    16. Chen, Yuyu & Embrechts, Paul & Wang, Ruodu, 2025. "Risk exchange under infinite-mean Pareto models," Insurance: Mathematics and Economics, Elsevier, vol. 124(C).
    17. Thilo A. Schmitt & Rudi Schafer & Thomas Guhr, 2016. "Credit risk: Taking fluctuating asset correlations into account," Papers 1601.03015, arXiv.org.
    18. Lee, Sang Mook & Park, Jong Chool & Song, Hakjoon, 2025. "Reprint of: The capital market consequence of sustained abnormal Audit fees: Evidence from stock price crash risk," The British Accounting Review, Elsevier, vol. 57(1).
    19. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    20. Steven Kou & Xianhua Peng, 2014. "On the Measurement of Economic Tail Risk," Papers 1401.4787, arXiv.org, revised Aug 2015.
    21. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    22. Markwat, Thijs & Kole, Erik & van Dijk, Dick, 2009. "Contagion as a domino effect in global stock markets," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1996-2012, November.
    23. Andreas Mühlbacher & Thomas Guhr, 2018. "Credit Risk Meets Random Matrices: Coping with Non-Stationary Asset Correlations," Risks, MDPI, vol. 6(2), pages 1-25, April.
    24. Chirok Han & Jin Seo Cho & Peter C.B. Phillips, 2009. "Infinite Density at the Median and the Typical Shape of Stock Return Distributions," Cowles Foundation Discussion Papers 1701, Cowles Foundation for Research in Economics, Yale University.
    25. Chollete, Loran & de la Pena , Victor & Lu, Ching-Chih, 2009. "International Diversification: An Extreme Value Approach," UiS Working Papers in Economics and Finance 2009/26, University of Stavanger.
    26. Byers, J.W. & Popova, I. & Simkins, B.J., 2021. "Robust estimation of conditional risk measures using machine learning algorithm for commodity futures prices in the presence of outliers," Journal of Commodity Markets, Elsevier, vol. 24(C).
    27. Chang, Carolyn W. & Chang, Jack S.K. & Lu, WeLi, 2010. "Pricing catastrophe options with stochastic claim arrival intensity in claim time," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 24-32, January.
    28. Zvika Afik & Elroi Hadad & Rami Yosef, 2023. "A Guaranteed-Return Structured Product as an Investment Risk-Hedging Instrument in Pension Savings Plans," Risks, MDPI, vol. 11(6), pages 1-16, June.
    29. Valérie Chavez-Demoulin & Paul Embrechts & Marius Hofert, 2016. "An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 735-776, September.
    30. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    31. Gilles Stupfler & Fan Yang, 2018. "Analyzing and Predicting CAT Bond Premiums: a Financial Loss Premium Principle and Extreme Value Modeling," Post-Print hal-04464416, HAL.
    32. Elroi Hadad & Davinder Malhotra & Srinivas Nippani, 2024. "Trading commodity ETFs: Price behavior, investment insights, and performance analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1257-1276, July.
    33. Tong, Bin & Wu, Chongfeng & Xu, Weidong, 2012. "Risk concentration of aggregated dependent risks: The second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 139-149.
    34. Annaert, Jan & Osselaer, Sofieke Van & Verstraete, Bert, 2009. "Performance evaluation of portfolio insurance strategies using stochastic dominance criteria," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 272-280, February.
    35. Martin Eling & Denis Toplek, 2009. "Modeling and Management of Nonlinear Dependencies–Copulas in Dynamic Financial Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 651-681, September.
    36. Ibragimov, Rustam & Walden, Johan, 2008. "Portfolio diversification under local and moderate deviations from power laws," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 594-599, April.
    37. Mainik Georg & Schaanning Eric, 2014. "On dependence consistency of CoVaRand some other systemic risk measures," Statistics & Risk Modeling, De Gruyter, vol. 31(1), pages 49-77, March.
    38. Alfonso Novales & Laura Garcia-Jorcano, 2019. "Backtesting Extreme Value Theory models of expected shortfall," Documentos de Trabajo del ICAE 2019-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    39. Vitali Alexeev & Francis Tapon, 2014. "The number of stocks in your portfolio should be larger than you think: diversification evidence from five developed markets," Published Paper Series 2014-4, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    40. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    41. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    42. DiTraglia, Francis J. & Gerlach, Jeffrey R., 2013. "Portfolio selection: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 305-323.
    43. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2018. "The cross-section of expected stock returns in the property/liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 292-321.
    44. Steven Kou & Xianhua Peng, 2016. "On the Measurement of Economic Tail Risk," Operations Research, INFORMS, vol. 64(5), pages 1056-1072, October.
    45. Yuyu Chen & Paul Embrechts & Ruodu Wang, 2024. "Risk exchange under infinite-mean Pareto models," Papers 2403.20171, arXiv.org, revised Jun 2025.
    46. Andreas Muhlbacher & Thomas Guhr, 2018. "Credit Risk Meets Random Matrices: Coping with Non-Stationary Asset Correlations," Papers 1803.00261, arXiv.org.
    47. Rama Cont & Romain Deguest & Giacomo Scandolo, 2010. "Robustness and sensitivity analysis of risk measurement procedures," Quantitative Finance, Taylor & Francis Journals, vol. 10(6), pages 593-606.
    48. Andreas Muhlbacher & Thomas Guhr, 2017. "Extreme portfolio loss correlations in credit risk," Papers 1706.09809, arXiv.org.
    49. Ibragimov, Rustam, 2014. "On the robustness of location estimators in models of firm growth under heavy-tailedness," Journal of Econometrics, Elsevier, vol. 181(1), pages 25-33.
    50. Spencer Wheatley & Annette Hofmann & Didier Sornette, 2021. "Addressing insurance of data breach cyber risks in the catastrophe framework," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(1), pages 53-78, January.
    51. Yuyu Chen & Ruodu Wang, 2024. "Infinite-mean models in risk management: Discussions and recent advances," Papers 2408.08678, arXiv.org, revised Oct 2024.
    52. Andrei Ankudinov & Rustam Ibragimov & Oleg Lebedev, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
    53. Luciano de Castro & Antonio F. Galvao & Gabriel Montes-Rojas & Jose Olmo, 2022. "Portfolio selection in quantile decision models," Annals of Finance, Springer, vol. 18(2), pages 133-181, June.
    54. Chollete, Loran & Ning, Cathy, 2010. "Asymmetric Dependence in US Financial Risk Factors?," UiS Working Papers in Economics and Finance 2011/2, University of Stavanger.
    55. Akhter Mohiuddin Rather, 2012. "Portfolio selection using mean-risk model and mean-risk diversification model," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 14(3), pages 324-342.
    56. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    57. Degen, Matthias & Lambrigger, Dominik D. & Segers, Johan, 2010. "Risk concentration and diversification: Second-order properties," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 541-546, June.
    58. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    59. Yuyu Chen & Paul Embrechts & Ruodu Wang, 2022. "An unexpected stochastic dominance: Pareto distributions, dependence, and diversification," Papers 2208.08471, arXiv.org, revised Mar 2024.
    60. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Leveraged network-based financial accelerator," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1626-1640.
    61. Markus Huggenberger & Peter Albrecht, 2022. "Risk pooling and solvency regulation: A policyholder's perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 907-950, December.
    62. Thomas Holzheu & Ginger Turner, 2018. "The Natural Catastrophe Protection Gap: Measurement, Root Causes and Ways of Addressing Underinsurance for Extreme Events†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 37-71, January.
    63. Semih Atakan & Kerem Bülbül & Nilay Noyan, 2017. "Minimizing value-at-risk in single-machine scheduling," Annals of Operations Research, Springer, vol. 248(1), pages 25-73, January.
    64. Chollete, Lorán, 2008. "The Propagation of Financial Extremes: An Application to Subprime Market Spillovers," Discussion Papers 2008/2, Norwegian School of Economics, Department of Business and Management Science.
    65. Daniele Mancinelli & Immacolata Oliva, 2023. "Constant or Variable? A Performance Analysis among Portfolio Insurance Strategies," Risks, MDPI, vol. 11(6), pages 1-14, June.
    66. Li, Donghui & Xing, Lu & Zhao, Yang, 2022. "Does extended auditor disclosure deter managerial bad-news hoarding? Evidence from crash risk," Journal of Corporate Finance, Elsevier, vol. 76(C).
    67. Anatoly B. Schmidt, 2019. "Managing portfolio diversity within the mean variance theory," Annals of Operations Research, Springer, vol. 282(1), pages 315-329, November.
    68. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    69. Wang, Kun Tracy & Liu, Simeng & Wu, Yue, 2021. "Corporate social activities and stock price crash risk in the banking industry: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    70. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.
    71. Ibragimov, Rustam & Jaffee, Dwight & Walden, Johan, 2011. "Diversification disasters," Journal of Financial Economics, Elsevier, vol. 99(2), pages 333-348, February.
    72. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2011. "International diversification: A copula approach," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 403-417, February.
    73. Azimli, Asil, 2022. "Degree and structure of return dependence among commodities, energy stocks and international equity markets during the post-COVID-19 period," Resources Policy, Elsevier, vol. 77(C).
    74. Vilislav Boutchaktchiev, 2025. "Inferred Loss Rate as a Credit Risk Measure in the Bulgarian Banking System," Mathematics, MDPI, vol. 13(9), pages 1-18, April.
    75. Kateryna Anatoliyevna Kopyl & John Byong-Tek Lee, 2016. "How safe are the safe haven assets?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(4), pages 453-482, November.

  33. Sharakhmetov, Sh. & Ibragimov, R., 2002. "A Characterization of Joint Distribution of Two-Valued Random Variables and Its Applications," Journal of Multivariate Analysis, Elsevier, vol. 83(2), pages 389-408, November.

    Cited by:

    1. Anat Bracha & Jeremy Gray & Rustam Ibragimov & Boaz Nadler & Dmitry Shapiro & Glena Ames & Donald J. Brown, 2005. "Randomized Sign Test for Dependent Observations on Discrete Choice under Risk," Cowles Foundation Discussion Papers 1526, Cowles Foundation for Research in Economics, Yale University.
    2. Donald Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Yale School of Management Working Papers amz2581, Yale School of Management, revised 01 Jul 2005.
    3. Ibragimov, Rustam & Prokhorov, Artem, 2016. "Heavy tails and copulas: Limits of diversification revisited," Economics Letters, Elsevier, vol. 149(C), pages 102-107.
    4. Stanislav Anatolyev & Renat Khabibullin & Artem Prokhorov, 2013. "Reconstructing high dimensional dynamic distributions from distributions of lower dimension," Working Papers w0167, New Economic School (NES).
    5. Fontana, Roberto & Semeraro, Patrizia, 2018. "Representation of multivariate Bernoulli distributions with a given set of specified moments," Journal of Multivariate Analysis, Elsevier, vol. 168(C), pages 290-303.
    6. Chenguang (Allen) Wu & Achal Bassamboo & Ohad Perry, 2019. "Service System with Dependent Service and Patience Times," Management Science, INFORMS, vol. 65(3), pages 1151-1172, March.
    7. Donald Brown & Rustam Ibragimov & Johan Walden, 2015. "Bounds for path-dependent options," Annals of Finance, Springer, vol. 11(3), pages 433-451, November.
    8. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation for Research in Economics, Yale University.
    9. Blier-Wong, Christopher & Cossette, Hélène & Marceau, Etienne, 2022. "Stochastic representation of FGM copulas using multivariate Bernoulli random variables," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    10. Brown, Donald & Ibragimov, Rustam, 2019. "Sign tests for dependent observations," Econometrics and Statistics, Elsevier, vol. 10(C), pages 1-8.
    11. Wei, Li & Yuan, Zhongyi, 2016. "The loss given default of a low-default portfolio with weak contagion," Insurance: Mathematics and Economics, Elsevier, vol. 66(C), pages 113-123.

  34. Ibragimov, R. & Sharakhmetov, Sh., 2001. "The best constant in the Rosenthal inequality for nonnegative random variables," Statistics & Probability Letters, Elsevier, vol. 55(4), pages 367-376, December.

    Cited by:

    1. Ibragimov, Marat & Ibragimov, Rustam, 2008. "Optimal constants in the Rosenthal inequality for random variables with zero odd moments," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 186-189, February.
    2. Ruzankin, P.S., 2014. "On Cox–Kemperman moment inequalities for independent centered random variables," Statistics & Probability Letters, Elsevier, vol. 86(C), pages 80-84.
    3. Mariani, Mauro & Trevisan, Dario, 2025. "Wasserstein asymptotics for Brownian motion on the flat torus and Brownian interlacements," Stochastic Processes and their Applications, Elsevier, vol. 183(C).
    4. Ren, Yao-Feng & Tian, Fan-Ji, 2003. "On the Rosenthal's inequality for locally square integrable martingales," Stochastic Processes and their Applications, Elsevier, vol. 104(1), pages 107-116, March.

  35. Marat Ibragimov, 2001. "A method of calculating the spectral radius of a nonnegative matrix and its applications," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 17(2), pages 467-480.

    Cited by:

    1. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.

  36. R. Ibragimov & Sh. Sharakhmetov, 1999. "Analogues of Khintchine, Marcinkiewicz–Zygmund and Rosenthal Inequalities for Symmetric Statistics," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(4), pages 621-633, December.

    Cited by:

    1. Yonekura, Shouto & Beskos, Alexandros & Singh, Sumeetpal S., 2021. "Asymptotic analysis of model selection criteria for general hidden Markov models," Stochastic Processes and their Applications, Elsevier, vol. 132(C), pages 164-191.
    2. Davide Giraudo, 2025. "Deviation and Moment Inequalities for Banach-Valued U-statistics," Journal of Theoretical Probability, Springer, vol. 38(2), pages 1-48, June.
    3. Shanchao, Yang, 2006. "Moment inequalities for sums of products of independent random variables," Statistics & Probability Letters, Elsevier, vol. 76(18), pages 1994-2000, December.
    4. de la Peña, Victor H. & Sharakhmetov, Shaturgun & Ibragimov, Rustam, 2003. "On Extremal Distributions and Sharp L[sub]p-Bounds For Sums of Multilinear Forms," Scholarly Articles 2624455, Harvard University Department of Economics.
    5. R. Ibragimov & Sh. Sharakhmetov & A. Cecen, 2001. "Exact Estimates for Moments of Random Bilinear Forms," Journal of Theoretical Probability, Springer, vol. 14(1), pages 21-37, January.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Rustam Ibragimov & Artem Prokhorov, 2017. "Heavy Tails and Copulas:Topics in Dependence Modelling in Economics and Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9644, March.

    Cited by:

    1. Marat Ibragimov & Rustam Ibragimov, 2018. "Heavy tails and upper-tail inequality: The case of Russia," Empirical Economics, Springer, vol. 54(2), pages 823-837, March.
    2. Wang, Fangfang & Ma, Chunsheng, 2019. "ℓ1-symmetric vector random fields," Stochastic Processes and their Applications, Elsevier, vol. 129(7), pages 2466-2484.
    3. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    4. Damette, Olivier & Goutte, Stéphane, 2023. "Beyond climate and conflict relationships: New evidence from a Copula-based analysis on an historical perspective," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 295-323.
    5. Das, Bikramjit & Fasen-Hartmann, Vicky, 2024. "On heavy-tailed risks under Gaussian copula: The effects of marginal transformation," Journal of Multivariate Analysis, Elsevier, vol. 202(C).
    6. Marat Ibragimov & Rustam Ibragimov & Paul Kattuman & Jun Ma, 2018. "Income inequality and price elasticity of market demand: the case of crossing Lorenz curves," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 729-750, May.
    7. Pertaia, Giorgi & Prokhorov, Artem & Uryasev, Stan, 2022. "A new approach to credit ratings," Journal of Banking & Finance, Elsevier, vol. 140(C).
    8. Bikramjit Das & Vicky Fasen-Hartmann, 2023. "On heavy-tailed risks under Gaussian copula: the effects of marginal transformation," Papers 2304.05004, arXiv.org.
    9. León, Ángel & Ñíguez, Trino-Manuel, 2021. "The transformed Gram Charlier distribution: Parametric properties and financial risk applications," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 323-349.
    10. Dietmar Pfeifer & Olena Ragulina, 2018. "Generating VaR Scenarios under Solvency II with Product Beta Distributions," Risks, MDPI, vol. 6(4), pages 1-15, October.
    11. Neveka M. Olmos & Emilio Gómez-Déniz & Osvaldo Venegas, 2022. "The Heavy-Tailed Gleser Model: Properties, Estimation, and Applications," Mathematics, MDPI, vol. 10(23), pages 1-16, December.
    12. Brown, Donald & Ibragimov, Rustam, 2019. "Sign tests for dependent observations," Econometrics and Statistics, Elsevier, vol. 10(C), pages 1-8.
    13. Chanelle Duley & Prasanna Gai, 2023. "Macroeconomic tail risk, currency crises and the inter‐war gold standard," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(4), pages 1551-1582, November.

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