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Gilbert W. Bassett, Jr.

Citations

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

Working papers

  1. Gilbert W. Bassett Jr Bassett & Roger Koenker & Gregory Kordas, 2004. "Pessimistic portfolio allocation and Choquet expected utility," CeMMAP working papers CWP09/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2015. "Asset Allocation Strategies Based On Penalized Quantile Regression," "Marco Fanno" Working Papers 0199, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Luca Merlo & Lea Petrella & Valentina Raponi, 2021. "Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation," Papers 2106.06518, arXiv.org.
    3. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    4. Manganelli, Simone, 2007. "Asset allocation by penalized least squares," Working Paper Series 723, European Central Bank.
    5. Giovanni Bonaccolto, 2021. "Quantile– based portfolios: post– model– selection estimation with alternative specifications," Computational Management Science, Springer, vol. 18(3), pages 355-383, July.
    6. Gerlach, Richard & Wang, Chao, 2020. "Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting, incorporating realized measures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 489-506.
    7. Franco Peracchi & Andrei V. Tanase, 2008. "On estimating the conditional expected shortfall," CEIS Research Paper 122, Tor Vergata University, CEIS, revised 14 Jul 2008.
    8. Mario Brandtner, 2016. "Spektrale Risikomaße: Konzeption, betriebswirtschaftliche Anwendungen und Fallstricke," Management Review Quarterly, Springer, vol. 66(2), pages 75-115, April.
    9. Shujie Ma & Oliver Linton & Jiti Gao, 2018. "Estimation in semiparametric quantile factor models," CeMMAP working papers CWP07/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Giovanni Bonaccolto, 2019. "Critical Decisions for Asset Allocation via Penalized Quantile Regression," Papers 1908.04697, arXiv.org.
    11. Jozef Baruník & Matěj Nevrla, 2023. "Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1590-1646.
    12. Alexandre Street, 2010. "On the Conditional Value-at-Risk probability-dependent utility function," Theory and Decision, Springer, vol. 68(1), pages 49-68, February.
    13. Bassett, Gilbert Jr., 2005. "Proposing a dinner date: analysis by rank-dependent expected utility," Journal of Economic Behavior & Organization, Elsevier, vol. 58(3), pages 393-402, November.
    14. Hirbod Assa & Nikolay Gospodinov, 2017. "A Robust Approach to Hedging and Pricing in Imperfect Markets," Risks, MDPI, vol. 5(3), pages 1-20, July.
    15. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
    16. J. Christopher Westland, 2015. "Economics of eBay’s buyer protection plan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-20, December.
    17. Philipp Gschöpf & Wolfgang Karl Härdle & Andrija Mihoci, 2015. "TERES - Tail Event Risk Expectile based Shortfall," SFB 649 Discussion Papers SFB649DP2015-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    18. Kim, Kwansoo & Chavas, Jean-Paul & Barham, Bradford L. & Foltz, Jeremy D., 2012. "Rice, Irrigation and Downside Risk: A Quantile Analysis of Risk Exposure and Mitigation on Korean Farms," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124814, Agricultural and Applied Economics Association.
    19. Luciano De Castro & Antonio F. Galvao & Gabriel Montes Rojas & José Olmo, 2020. "Portfolio Selection in Quantile Decision Models," Working Papers 11, Red Nacional de Investigadores en Economía (RedNIE).
    20. Xiaoping Xu & Zongwu Cai, 2013. "Nonparametric Quantile Estimations For Dynamic Smooth Coefficient Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    21. Brandtner, Mario, 2013. "Conditional Value-at-Risk, spectral risk measures and (non-)diversification in portfolio selection problems – A comparison with mean–variance analysis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5526-5537.
    22. Adam, Alexandre & Houkari, Mohamed & Laurent, Jean-Paul, 2008. "Spectral risk measures and portfolio selection," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1870-1882, September.
    23. Millner, Antony & Dietz, Simon & Heal, Geoffrey, 2010. "Ambiguity and climate policy," LSE Research Online Documents on Economics 37595, London School of Economics and Political Science, LSE Library.
    24. Shujie Ma & Oliver Linton & Jiti Gao, 2017. "Estimation and inference in semiparametric quantile factor models," Monash Econometrics and Business Statistics Working Papers 8/17, Monash University, Department of Econometrics and Business Statistics.
    25. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2022. "Portfolio Selection Under Systemic Risk," Working Papers 202208, University of Liverpool, Department of Economics.
    26. Barrieu, Pauline & Desgagne, Bernard Sinclair, 2009. "Economic policy when models disagree," LSE Research Online Documents on Economics 37607, London School of Economics and Political Science, LSE Library.
    27. Nikolay Gospodinov, 2017. "Asset Co-movements: Features and Challenges," FRB Atlanta Working Paper 2017-11, Federal Reserve Bank of Atlanta.
    28. Christian Gourieroux & Wei Liu, 2006. "Sensitivity Analysis of Distortion Risk Measures," Working Papers 2006-33, Center for Research in Economics and Statistics.
    29. Antony Millner & Simon Dietz & Geoffrey Heal, 2013. "Scientific Ambiguity and Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 21-46, May.
    30. Chen, Cathy W.S. & Hsu, Hsiao-Yun & Watanabe, Toshiaki, 2023. "Tail risk forecasting of realized volatility CAViaR models," Finance Research Letters, Elsevier, vol. 51(C).
    31. Sungchul Hong & Jong-June Jeon, 2023. "Uniform Pessimistic Risk and Optimal Portfolio," Papers 2303.07158, arXiv.org.
    32. Marc Hallin & Davy Paindaveine & Miroslav Šiman, 2010. "Multivariate quantiles and multiple-output regression quantiles: From L1 optimization to halfspace depth," ULB Institutional Repository 2013/127979, ULB -- Universite Libre de Bruxelles.
    33. Hanqing Jin & Xun Yu Zhou, 2008. "Behavioral Portfolio Selection In Continuous Time," Mathematical Finance, Wiley Blackwell, vol. 18(3), pages 385-426, July.
    34. Pauline Barrieu & Sinclair Desgagn�, 2009. "Economic policy when models disagree," GRI Working Papers 4, Grantham Research Institute on Climate Change and the Environment.
    35. Vijverberg, Chu-Ping C. & Vijverberg, Wim P.M. & Taşpınar, Süleyman, 2016. "Linking Tukey’s legacy to financial risk measurement," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 595-615.
    36. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    37. Mengting Li & Qifa Xu & Cuixia Jiang & Qinna Zhao, 2023. "The role of tail network topological characteristic in portfolio selection: A TNA‐PMC model," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 37-57, March.
    38. Strub, Moris S. & Li, Duan & Cui, Xiangyu & Gao, Jianjun, 2019. "Discrete-time mean-CVaR portfolio selection and time-consistency induced term structure of the CVaR," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    39. Kuan, Chung-Ming & Yeh, Jin-Huei & Hsu, Yu-Chin, 2009. "Assessing value at risk with CARE, the Conditional Autoregressive Expectile models," Journal of Econometrics, Elsevier, vol. 150(2), pages 261-270, June.
    40. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    41. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    42. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    43. Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Other publications TiSEM 0cd9ce8d-542e-418e-be38-f, Tilburg University, School of Economics and Management.
    44. Polbennikov, S.Y. & Melenberg, B., 2005. "Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection : An Empirical Comparison," Other publications TiSEM da47bd16-393d-4b80-96dc-1, Tilburg University, School of Economics and Management.
    45. Polbennikov, S.Y. & Melenberg, B., 2005. "Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection : An Empirical Comparison," Discussion Paper 2005-100, Tilburg University, Center for Economic Research.
    46. Le, Trung H., 2020. "Forecasting value at risk and expected shortfall with mixed data sampling," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1362-1379.
    47. Cathy Yi-Hsuan Chen & Thomas C. Chiang & Wolfgang Karl Härdle, 2016. "Downside risk and stock returns: An empirical analysis of the long-run and short-run dynamics from the G-7 Countries," SFB 649 Discussion Papers SFB649DP2016-001, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    48. Xu, Qifa & Zhou, Yingying & Jiang, Cuixia & Yu, Keming & Niu, Xufeng, 2016. "A large CVaR-based portfolio selection model with weight constraints," Economic Modelling, Elsevier, vol. 59(C), pages 436-447.
    49. Giessing, Alexander & He, Xuming, 2019. "On the predictive risk in misspecified quantile regression," Journal of Econometrics, Elsevier, vol. 213(1), pages 235-260.
    50. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    51. Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Discussion Paper 2005-99, Tilburg University, Center for Economic Research.
    52. Merlo, Luca & Petrella, Lea & Raponi, Valentina, 2021. "Forecasting VaR and ES using a joint quantile regression and its implications in portfolio allocation," Journal of Banking & Finance, Elsevier, vol. 133(C).

Articles

  1. Hsiu-lang Chen & Gilbert Bassett, 2014. "What Does Β Smb > 0 Really Mean?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 37(4), pages 543-552, December.

    Cited by:

    1. Irina Bezhentseva Mateus & Cesario Mateus & Natasa Todorovic, 2019. "Benchmark-adjusted performance of US equity mutual funds and the issue of prospectus benchmarks," Journal of Asset Management, Palgrave Macmillan, vol. 20(1), pages 15-30, February.
    2. Krauss, Christopher & Stübinger, Johannes, 2015. "Nonlinear dependence modeling with bivariate copulas: Statistical arbitrage pairs trading on the S&P 100," FAU Discussion Papers in Economics 15/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    3. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
    4. Steffen Hundt & Andreas Horsch, 2019. "Sponsorship of the FIFA world cup, shareholder wealth, and the impact of corruption," Applied Economics, Taylor & Francis Journals, vol. 51(23), pages 2468-2491, May.
    5. Johannes St binger & Jens Bredthauer, 2017. "Statistical Arbitrage Pairs Trading with High-frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 650-662.

  2. Koenker, Roger & Bassett Jr., Gilbert W., 2010. "March Madness, Quantile Regression Bracketology, and the Hayek Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 26-35.

    Cited by:

    1. Ludden Ian G. & Jacobson Sheldon H. & Khatibi Arash & King Douglas M., 2020. "Models for generating NCAA men’s basketball tournament bracket pools," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(1), pages 1-15, March.
    2. Khatibi, Arash & King, Douglas M. & Jacobson, Sheldon H., 2015. "Modeling the winning seed distribution of the NCAA Division I men׳s basketball tournament," Omega, Elsevier, vol. 50(C), pages 141-148.
    3. Jacobson, Sheldon H. & Nikolaev, Alexander G. & King, Douglas M. & Lee, Adrian J., 2011. "Seed distributions for the NCAA men's basketball tournament," Omega, Elsevier, vol. 39(6), pages 719-724, December.
    4. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    5. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    6. Gupta Ajay Andrew, 2015. "A new approach to bracket prediction in the NCAA Men’s Basketball Tournament based on a dual-proportion likelihood," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(1), pages 53-67, March.
    7. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.

  3. Chen, Chen & Chen, Rong & Bassett, Gilbert W., 2007. "Fundamental indexation via smoothed cap weights," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3486-3502, November.

    Cited by:

    1. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," Working Papers hal-04141378, HAL.
    2. David Ardia & Kris Boudt, 2013. "Implied Expected Returns and the Choice of a Mean-Variance Efficient Portfolio Proxy," Cahiers de recherche 1328, CIRPEE.
    3. Boldin, Michael & Cici, Gjergji, 2010. "The index fund rationality paradox," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 33-43, January.
    4. Walkshäusl, Christian & Lobe, Sebastian, 2010. "Fundamental indexing around the world," Review of Financial Economics, Elsevier, vol. 19(3), pages 117-127, August.
    5. Balatti, Mirco & Brooks, Chris & Kappou, Konstantina, 2017. "Fundamental indexation revisited: New evidence on alpha," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 1-15.
    6. Christian Walkshäusl & Sebastian Lobe, 2010. "Fundamental indexing around the world," Review of Financial Economics, John Wiley & Sons, vol. 19(3), pages 117-127, August.
    7. Marielle de Jong & Lauren Stagnol, 2016. "A fundamental bond index including solvency criteria," Post-Print hal-01410662, HAL.
    8. Wenguang Lin & Gary C. Sanger, 2019. "An alternative fundamental weighting scheme based on enterprise value multiple," Journal of Asset Management, Palgrave Macmillan, vol. 20(2), pages 146-156, March.
    9. Santosh Kumar & Ranjit Tiwari, 2021. "Does the fundamental indexation portfolio perform better? An Indian investigation," Accounting Research Journal, Emerald Group Publishing Limited, vol. 35(2), pages 121-144, June.
    10. Anup K. Basu & Brigette Forbes & Henk Berkman, 2014. "Does fundamental indexation lead to better risk-adjusted returns? New evidence from Australian Securities Exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 699-728, September.
    11. Nipun Agarwal, 2014. "How to obtain high returns with lower volatility in emerging markets?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-16, December.
    12. Olaf Stotz & Gabrielle Wanzenried & Karsten Döhnert, 2010. "Do fundamental indexes produce higher risk-adjusted returns than market cap indexes? Evidence for European stock markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(3), pages 219-243, September.
    13. Noël Amenc & Felix Goltz & Véronique Le Sourd, 2009. "The Performance of Characteristics‐based Indices1," European Financial Management, European Financial Management Association, vol. 15(2), pages 241-278, March.
    14. Rongbin Wang & Weifeng Zhang & Wenlong Deng & Ruihao Zhang & Xiaohui Zhang, 2022. "Study on Prediction of Energy Conservation and Carbon Reduction in Universities Based on Exponential Smoothing," Sustainability, MDPI, vol. 14(19), pages 1-11, September.
    15. M. Volkov & М. Волков, 2018. "Анализ фундаментальной индексации как эффективный подход к активному инвестированию // Analysis of Fundamental Indexation as an Efficient Approach to Active Investing," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 6(4), pages 41-51.

  4. Persky, Joseph & Bassett, Gilbert W., 2006. "Conceptualizing Inequality and Risk," Journal of the History of Economic Thought, Cambridge University Press, vol. 28(1), pages 81-93, March.

    Cited by:

    1. Marko Petrović & Andrea Teglio & Simone Alfarano, 2022. "Credit allocation and the financial crisis: evidence from Spanish companies," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 1069-1114, October.

  5. Gilbert W. Bassett, 2004. "Pessimistic Portfolio Allocation and Choquet Expected Utility," Journal of Financial Econometrics, Oxford University Press, vol. 2(4), pages 477-492.
    See citations under working paper version above.
  6. Gilbert W. Bassett Jr. & Hsiu-Lang Chen, 2001. "Portfolio style: Return-based attribution using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 293-305.

    Cited by:

    1. Tchamyou, Vanessa & Asongu, Simplice, 2017. "Conditional Market Timing in the Mutual Fund Industry," MPRA Paper 82633, University Library of Munich, Germany.
    2. Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
      • Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    3. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Spillovers from the United States to Latin American and G7 stock markets: A VAR quantile analysis," Emerging Markets Review, Elsevier, vol. 31(C), pages 32-46.
    4. Rui Ding & Stan Uryasev, 2020. "CoCDaR and mCoCDaR: New Approach for Measurement of Systemic Risk Contributions," JRFM, MDPI, vol. 13(11), pages 1-18, November.
    5. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," Working Papers 2009004, University of Antwerp, Faculty of Business and Economics.
    6. Carrillo, Paul & Yezer, Anthony, 2009. "Alternative measures of homeownership gaps across segregated neighborhoods," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 542-552, September.
    7. de-Ramon, Sebastian & Francis, William B & Straughan, Michael, 2020. "The link between bank competition and risk in the United Kingdom: two views for policymaking," Bank of England working papers 885, Bank of England.
    8. Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2019. "Does active management add value? New evidence from a quantile regression approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1734-1751, October.
    9. V L Miguéis & D F Benoit & D Van den Poel, 2013. "Enhanced decision support in credit scoring using Bayesian binary quantile regression," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1374-1383, September.
    10. Thomas Q. Pedersen, 2015. "Predictable Return Distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 114-132, March.
    11. J. Carlos Escanciano & Carlos Velasco, 2010. "Specification tests of parametric dynamic conditional quantiles," Post-Print hal-00732534, HAL.
    12. Marcelo Cajias & Philipp Freudenreich & Anna Heller & Wolfgang Schaefers, 2018. "Censored Quantile Regressions and the Determinants of Real Estate Liquidity," ERES eres2018_203, European Real Estate Society (ERES).
    13. Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021. "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, vol. 61(4), pages 2041-2072, October.
    14. Meligkotsidou, Loukia & Vrontos, Ioannis D. & Vrontos, Spyridon D., 2009. "Quantile regression analysis of hedge fund strategies," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 264-279, March.
    15. Sunil K. Mohanty & Roar Aadland & Sjur Westgaard & Stein Frydenberg & Hilde Lillienskiold & Cecilie Kristensen, 2021. "Modelling Stock Returns and Risk Management in the Shipping Industry," JRFM, MDPI, vol. 14(4), pages 1-25, April.
    16. Koutsomanoli-Filippaki, Anastasia I. & Mamatzakis, Emmanuel C., 2011. "Efficiency under quantile regression: What is the relationship with risk in the EU banking industry?," Review of Financial Economics, Elsevier, vol. 20(2), pages 84-95, May.
    17. Shah, Attaullah & Shah, Hamid Ali & Smith, Jason M. & Labianca, Giuseppe (Joe), 2017. "Judicial efficiency and capital structure: An international study," Journal of Corporate Finance, Elsevier, vol. 44(C), pages 255-274.
    18. Hao Cheng & Ying Wei, 2018. "A fast imputation algorithm in quantile regression," Computational Statistics, Springer, vol. 33(4), pages 1589-1603, December.
    19. White, Halbert & Kim, Tae-Hwan, 2002. "Estimation, Inference, and Specification Testing for Possibly Misspecified Quantile Regression," University of California at San Diego, Economics Working Paper Series qt1s38s0dn, Department of Economics, UC San Diego.
    20. Cristi A. Gleason & Sascha Kieback & Martin Thomsen & Christoph Watrin, 2021. "Monitoring or payroll maximization? What happens when workers enter the boardroom?," Review of Accounting Studies, Springer, vol. 26(3), pages 1046-1087, September.
    21. Hui Tian & Andrew Yim & David P. Newton, 2021. "Tail-Heaviness, Asymmetry, and Profitability Forecasting by Quantile Regression," Management Science, INFORMS, vol. 67(8), pages 5209-5233, August.
    22. J. Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2013. "Does active management add value? New evidence from a quantile regression," Working Papers 2013/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    23. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," ACED Working Papers 2009003, University of Antwerp, Faculty of Business and Economics.
    24. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW Kiel).
    25. Baur, Dirk G. & Schulze, Niels, 2009. "Financial market stability--A test," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 506-519, July.
    26. N. Edward Coulson & Daniel P. McMillen, 2007. "The Dynamics of Intraurban Quantile House Price Indexes," Urban Studies, Urban Studies Journal Limited, vol. 44(8), pages 1517-1537, July.
    27. Jasman Tuyon & Zamri Ahmad, 2021. "Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5793-5814, October.
    28. Hiau Joo Kee, 2006. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap," The Economic Record, The Economic Society of Australia, vol. 82(259), pages 408-427, December.
    29. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    30. Pedro Pires & João Pedro Pereira & Luís Filipe Martins, 2015. "The Empirical Determinants of Credit Default Swap Spreads: a Quantile Regression Approach," European Financial Management, European Financial Management Association, vol. 21(3), pages 556-589, June.
    31. Alex Golodnikov & Viktor Kuzmenko & Stan Uryasev, 2019. "CVaR Regression Based on the Relation between CVaR and Mixed-Quantile Quadrangles," JRFM, MDPI, vol. 12(3), pages 1-22, June.
    32. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    33. Yu-Yen Ku & Tze-Yu Yen, 2016. "Heterogeneous Effect of Financial Leverage on Corporate Performance: A Quantile Regression Analysis of Taiwanese Companies," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-33, September.
    34. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2015. "Forecasting ICT development through quantile confidence intervals," Journal of Business Research, Elsevier, vol. 68(11), pages 2295-2298.
    35. Chi Ming Wong & Lei Lam Olivia Ting, 2016. "A Quantile Regression Approach to the Multiple Period Value at Risk Estimation," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 1-35, February.
    36. Sánchez-Vidal, F. Javier, 2014. "High debt companies' leverage determinants in Spain: A quantile regression approach," Economic Modelling, Elsevier, vol. 36(C), pages 455-465.
    37. Harmindar B. Nath & Vasilis Sarafidis, 2017. "Does persistence in idiosyncratic risk proxy return-reversals?," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(8), pages 27-53, October.
    38. E. Mamatzakis, 2015. "Risk and efficiency in the Central and Eastern European banking industry under quantile analysis," Quantitative Finance, Taylor & Francis Journals, vol. 15(3), pages 553-567, March.
    39. Ding, Haoyuan & Kim, Hyung-Gun & Park, Sung Y., 2016. "Crude oil and stock markets: Causal relationships in tails?," Energy Economics, Elsevier, vol. 59(C), pages 58-69.
    40. Pieter Jan Trinks & Bert Scholtens, 2017. "The Opportunity Cost of Negative Screening in Socially Responsible Investing," Journal of Business Ethics, Springer, vol. 140(2), pages 193-208, January.
    41. Lee, Bong Soo & Li, Ming-Yuan Leon, 2012. "Diversification and risk-adjusted performance: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2157-2173.
    42. Khalifa, Maha & Othman, Hakim Ben & Hussainey, Khaled, 2018. "The effect of ex ante and ex post conservatism on the cost of equity capital: A quantile regression approach for MENA countries," Research in International Business and Finance, Elsevier, vol. 44(C), pages 239-255.
    43. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2014. "A new quantile regression forecasting model," Journal of Business Research, Elsevier, vol. 67(5), pages 779-784.
    44. Jasman Tuyon & Zamri Ahmad, 2018. "Behavioural Asset Pricing Determinants in a Factor and Style Investing Framework," Capital Markets Review, Malaysian Finance Association, vol. 26(2), pages 32-52.

  7. Bassett, Gilbert W, Jr & Persky, Joseph, 1999. "Robust Voting," Public Choice, Springer, vol. 99(3-4), pages 299-310, June.

    Cited by:

    1. Kaveh Madani & Laura Read & Laleh Shalikarian, 2014. "Voting Under Uncertainty: A Stochastic Framework for Analyzing Group Decision Making Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1839-1856, May.
    2. Diana Cheng & Peter Coughlin, 2017. "Using equations from power indices to analyze figure skating teams," Public Choice, Springer, vol. 170(3), pages 231-251, March.
    3. Bonifacio Llamazares & Teresa Peña, 2015. "Positional Voting Systems Generated by Cumulative Standings Functions," Group Decision and Negotiation, Springer, vol. 24(5), pages 777-801, September.
    4. Jean-François Laslier, 2011. "And the loser is... Plurality Voting," Working Papers hal-00609810, HAL.
    5. Jean-François Laslier, 2012. "On choosing the alternative with the best median evaluation," Public Choice, Springer, vol. 153(3), pages 269-277, December.
    6. Makowsky, Michael D., 2011. "Religion, clubs, and emergent social divides," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 74-87.
    7. Michael Ackerman & Sul-Young Choi & Peter Coughlin & Eric Gottlieb & Japheth Wood, 2013. "Elections with partially ordered preferences," Public Choice, Springer, vol. 157(1), pages 145-168, October.
    8. Gilbert Laffond & Jean Lainé, 2012. "Searching for a Compromise in Multiple Referendum," Group Decision and Negotiation, Springer, vol. 21(4), pages 551-569, July.
    9. Mohammad Reza Alizadeh & Mohammad Reza Nikoo & Gholam Reza Rakhshandehroo, 2017. "Developing a Multi-Objective Conflict-Resolution Model for Optimal Groundwater Management Based on Fallback Bargaining Models and Social Choice Rules: a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1457-1472, March.
    10. Ngoie, Ruffin-Benoît M. & Ulungu, Berthold E.-L., 2014. "Mean-median compromise method as an innovating voting rule in social choice theory," MPRA Paper 62938, University Library of Munich, Germany, revised 07 Jan 2015.
    11. Majid Sheikhmohammady & D. Marc Kilgour & Keith W. Hipel, 2010. "Modeling the Caspian Sea Negotiations," Group Decision and Negotiation, Springer, vol. 19(2), pages 149-168, March.
    12. Gaertner, Wulf & Xu, Yongsheng, 2012. "A general scoring rule," Mathematical Social Sciences, Elsevier, vol. 63(3), pages 193-196.
    13. Dan Felsenthal & Nicolaus Tideman, 2014. "Weak Condorcet winner(s) revisited," Public Choice, Springer, vol. 160(3), pages 313-326, September.
    14. Cervone, Davide P. & Dai, Ronghua & Gnoutcheff, Daniel & Lanterman, Grant & Mackenzie, Andrew & Morse, Ari & Srivastava, Nikhil & Zwicker, William S., 2012. "Voting with rubber bands, weights, and strings," Mathematical Social Sciences, Elsevier, vol. 64(1), pages 11-27.

  8. Bassett, Gilbert W. & Koenker, Roger W., 1992. "A note on recent proposals for computing l1 estimates," Computational Statistics & Data Analysis, Elsevier, vol. 14(2), pages 207-211, August.

    Cited by:

    1. Habshah Midi, 1999. "Preliminary estimators for robust non-linear regression estimation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(5), pages 591-600.
    2. Koenker, Roger & Park, Beum J., 1996. "An interior point algorithm for nonlinear quantile regression," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 265-283.
    3. Lazar Fred & Prisman Eliezer Z., 2012. "Constructing Historical Yield Curves from Very Sparse Spot Rates: A Methodology and Examples from the 1920s Canadian Market," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 7(1), pages 1-24, May.
    4. Jiang, Xuejun & Li, Jingzhi & Xia, Tian & Yan, Wanfeng, 2016. "Robust and efficient estimation with weighted composite quantile regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 413-423.

  9. Gilbert W. Bassett, Jr., 1987. "The St. Petersburg Paradox and Bounded Utility," History of Political Economy, Duke University Press, vol. 19(4), pages 517-523, Winter.

    Cited by:

    1. Michael Cain & David Law & David Peel, 2008. "Bounded cumulative prospect theory: some implications for gambling outcomes," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 5-15.
    2. Tibor Neugebauer, 2010. "Moral Impossibility in the Petersburg Paradox : A Literature Survey and Experimental Evidence," LSF Research Working Paper Series 10-14, Luxembourg School of Finance, University of Luxembourg.
    3. Robert Leonard, 2010. "The Collapse of Interwar Vienna: Oskar Morgenstern’s Community, 1925 - 1950," ICER Working Papers 04-2010, ICER - International Centre for Economic Research.
    4. M Cain & D Law & D Peel, 2005. "Cumulative prospect theory and gambling," Working Papers 566823, Lancaster University Management School, Economics Department.
    5. Hans Haller, 2013. "On the Mixed Extension of a Strategic Game1," Studies in Microeconomics, , vol. 1(2), pages 163-172, December.

  10. Bassett, Gilbert W. & Koenker, Roger W., 1986. "Strong Consistency of Regression Quantiles and Related Empirical Processes," Econometric Theory, Cambridge University Press, vol. 2(2), pages 191-201, August.

    Cited by:

    1. Sohag, Kazi & Kliestik, Tomas & Shams, S.M. Riad & Mariev, Oleg & Davidson, Natalia, 2022. "Capital market deepening, Governor’s characteristics and Russian regional enterprises: A big data analysis," Journal of Business Research, Elsevier, vol. 149(C), pages 340-352.
    2. Mohamed El Ghourabi & Christian Francq & Fedya Telmoudi, 2016. "Consistent Estimation of the Value at Risk When the Error Distribution of the Volatility Model is Misspecified," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 46-76, January.
    3. Jungsik Noh & Sangyeol Lee, 2016. "Quantile Regression for Location-Scale Time Series Models with Conditional Heteroscedasticity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(3), pages 700-720, September.
    4. Juan Manuel del Pozo Segura, 2017. "Has the Gender Wage Gap been Reduced during the 'Peruvian Growth Miracle?' A Distributional Approach," Documentos de Trabajo / Working Papers 2017-442, Departamento de Economía - Pontificia Universidad Católica del Perú.
    5. Alexander Aue & Rex C. Y. Cheung & Thomas C. M. Lee & Ming Zhong, 2014. "Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1241-1256, September.
    6. Adusumilli, Karun & Kurisu, Daisuke & Otsu, Taisuke & Whang, Yoon-Jae, 2020. "Inference on distribution functions under measurement error," Journal of Econometrics, Elsevier, vol. 215(1), pages 131-164.
    7. Yu, Chi Wai & Clarke, Bertrand, 2010. "Asymptotics of Bayesian median loss estimation," Journal of Multivariate Analysis, Elsevier, vol. 101(9), pages 1950-1958, October.
    8. Juliana Guimarães & (Universidade NOVA de Lisboa, 2004. "Has long become longer or short become shorter? Evidence from a censored quantile regression analysis of the changes in the distribution of U.S. unemployment duration," Econometric Society 2004 Latin American Meetings 128, Econometric Society.
    9. Héctor Ricardo Gertel & Roberto Giuliodori & María Luz Vera & Guadalupe Bastos & Sonia Costanzo, 2010. "Heterogeneidad en el desempeño académico de los estudiantes de Argentina: evidencia a partir de regresión por cuantiles," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 6, pages 117-138, Asociación de Economía de la Educación.
    10. Adusumilli, Karun & Kurisu, Daisies & Otsu, Taisuke & Whang, Yoon-Jae, 2020. "Inference on distribution functions under measurement error," LSE Research Online Documents on Economics 102692, London School of Economics and Political Science, LSE Library.
    11. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    12. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2007. "Wage Structure, Inequality And Skill-Biased Change: Is Italy An Outlier?," Quaderni del Dipartimento di Economia, Finanza e Statistica 38/2007, Università di Perugia, Dipartimento Economia.
    13. Machado, José & Portugal, Pedro & Guimarães, Juliana, 2006. "U.S. Unemployment Duration: Has Long Become Longer or Short Become Shorter?," IZA Discussion Papers 2174, Institute of Labor Economics (IZA).

  11. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.

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    1. Fulvio Castellacci & Bart Los & Gaaitzen Vries, 2014. "Sectoral productivity trends: convergence islands in oceans of non-convergence," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 983-1007, November.
    2. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    3. Variyam, Jayachandran N., 2001. "Wic Participation And The Nutrient Intake Of Preschoolers," 2001 Annual meeting, August 5-8, Chicago, IL 20623, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Joel L. Horowitz, 1996. "Bootstrap Methods for Median Regression Models," Econometrics 9608004, University Library of Munich, Germany.
    5. Rajesh K. Aggarwal & Andrew A. Samwick, 1999. "Executive Compensation, Strategic Competition, and Relative Performance Evaluation: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(6), pages 1999-2043, December.
    6. Khandker, Shahidur R. & Bakht, Zaid & Koolwal, Gayatri B., 2006. "The poverty impact of rural roads : evidencefrom Bangladesh," Policy Research Working Paper Series 3875, The World Bank.
    7. Victor Chernozhukov, 2005. "Extremal quantile regression," Papers math/0505639, arXiv.org.
    8. George A. Krause, 2006. "Beyond the Norm," Rationality and Society, , vol. 18(2), pages 157-191, May.
    9. Peracchi, Franco, 2002. "On estimating conditional quantiles and distribution functions," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 433-447, February.
    10. Park, Donghyun & Xiao, Qin, 2009. "Housing Prices and the Role of Speculation: The Case of Seoul," ADB Economics Working Paper Series 146, Asian Development Bank.
    11. Halkos, George, 2010. "Modelling biodiversity," MPRA Paper 39075, University Library of Munich, Germany.
    12. Ioannis Badounas & Georgios Pitselis, 2020. "Loss Reserving Estimation With Correlated Run-Off Triangles in a Quantile Longitudinal Model," Risks, MDPI, vol. 8(1), pages 1-26, February.
    13. Paas, Tiiu & Schlitte, Friso, 2006. "Regional Income Inequality and Convergence Processes in the EU-25," HWWA Discussion Papers 355, Hamburg Institute of International Economics (HWWA).
    14. Krueger, Alan B. & Schkade, David A., 2008. "The reliability of subjective well-being measures," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
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    26. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2017. "Heterogeneity in residential electricity consumption: A quantile regression approach," Ruhr Economic Papers 722, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    27. Pereira, Pedro T. & Martins, Pedro S., 2000. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," IZA Discussion Papers 120, Institute of Labor Economics (IZA).
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    1. Chenxi Li & Ying Wei & Rick Chappell & Xuming He, 2011. "Bent Line Quantile Regression with Application to an Allometric Study of Land Mammals' Speed and Mass," Biometrics, The International Biometric Society, vol. 67(1), pages 242-249, March.
    2. Sungwon Lee & Joon H. Ro, 2020. "Nonparametric Tests for Conditional Quantile Independence with Duration Outcomes," Working Papers 2013, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Cheng Cheng & Xiaohang Ren & Zhen Wang & Yukun Shi, 2018. "The Impacts of Non-Fossil Energy, Economic Growth, Energy Consumption, and Oil Price on Carbon Intensity: Evidence from a Panel Quantile Regression Analysis of EU 28," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    4. Ahmed, Walid M.A., 2021. "Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    5. Ahmed, Walid M.A., 2021. "How do Islamic equity markets respond to good and bad volatility of cryptocurrencies? The case of Bitcoin," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    6. Ahmed, Walid M.A. & Al Mafrachi, Mustafa, 2021. "Do higher-order realized moments matter for cryptocurrency returns?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 483-499.
    7. Aziz Karimov, 2014. "Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-16, December.
    8. Sang Bin Lee & Tae Yol Yoo, 1991. "Margin Regulation And Stock Market Response: Further Evidence From The U.S. And Some Pacific‐Basin Countries," Review of Financial Economics, John Wiley & Sons, vol. 1(1), pages 79-98, September.
    9. Panayiotis Tzeremes, 2022. "The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework," Studies in Microeconomics, , vol. 10(1), pages 7-22, June.
    10. Jiang, Hai & Zhang, Jinyi, 2017. "Bank capital buffer, franchise value, and risk heterogeneity in China," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1455-1466.
    11. You, Wan-Hai & Zhu, Hui-Ming & Yu, Keming & Peng, Cheng, 2015. "Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels," World Development, Elsevier, vol. 66(C), pages 189-207.
    12. Sun, Chia-Hung & Hsu, Ming-Fei, 2007. "The Determinants of Price in Online Auctions: More Evidence from Quantile Regression," Economics Working Papers wp07-18, School of Economics, University of Wollongong, NSW, Australia.
    13. Uematsu, Hiroki & Mishra, Ashok K., 2012. "The Impact of Natural Amenity on Farmland Values: A Quantile Regression Approach," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119804, Southern Agricultural Economics Association.
    14. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    15. Dong, Kangyin & Jia, Rongwen & Zhao, Congyu & Wang, Kun, 2023. "Can smart transportation inhibit carbon lock-in? The case of China," Transport Policy, Elsevier, vol. 142(C), pages 59-69.
    16. Gabriela Ciuperca, 2011. "Penalized least absolute deviations estimation for nonlinear model with change-points," Statistical Papers, Springer, vol. 52(2), pages 371-390, May.
    17. Lv, Zhike, 2017. "The effect of democracy on CO2 emissions in emerging countries: Does the level of income matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 900-906.
    18. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.

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    1. Adi Schnytzer & Guy Weinberg, 2008. "Testing for Home Team and Favorite Biases in the Australian Rules Football Fixed-Odds and Point Spread Betting Markets," Journal of Sports Economics, , vol. 9(2), pages 173-190, April.
    2. Rodney J. Paul & Andrew P. Weinbach, 2011. "Investigating Allegations of Pointshaving in NCAA Basketball Using Actual Sportsbook Betting Percentages," Journal of Sports Economics, , vol. 12(4), pages 432-447, August.
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    5. Stephen Shmanske, 2005. "Odds-setting efficiency in gambling markets: Evidence from the PGA TOUR," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 391-402, September.
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    1. Herve Kaffo Fotio & Tii N. Nchofoung & Simplice A. Asongu, 2022. "Financing renewable energy generation in SSA: Does financial integration matter?," Working Papers of the African Governance and Development Institute. 22/016, African Governance and Development Institute..
    2. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
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    5. Ioannis Chatziantoniou & David Gabauer, 2019. "EMU-Risk Synchronisation and Financial Fragility Through the Prism of Dynamic Connectedness," Working Papers in Economics & Finance 2019-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    6. Molyneux, Philip & Pancotto, Livia & Reghezza, Alessio & Rodriguez d'Acri, Costanza, 2022. "Interest rate risk and monetary policy normalisation in the euro area," Journal of International Money and Finance, Elsevier, vol. 124(C).
    7. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Nicodemo, Catia & Raya, Josep M., 2012. "Change in the Distribution of House Prices across Spanish Cities," IZA Discussion Papers 6503, Institute of Labor Economics (IZA).
    9. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
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    13. Graziella Bertocchi & Marianna Brunetti & Anzelika Zaiceva, 2023. "The Financial Decisions of Immigrant and Native Households: Evidence from Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 117-174, March.
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    2624. Rogelio Varela Llamas & Mayra Yesenia Nava Rubio, 2020. "Salarios e informalidad laboral en México: una perspectiva regional y empresarial," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 2, pages 15-46.
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    2713. B. Dima & Ş. M. Dima, 2016. "Income Distribution and Social Tolerance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 439-466, August.
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