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Asymmetric Least Squares Estimation and Testing
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Cited by:
- 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).
- Honore, Bo E. & Kyriazidou, Ekaterini & Udry, Christopher, 1997.
"Estimation of Type 3 Tobit models using symmetric trimming and pairwise comparisons,"
Journal of Econometrics, Elsevier, vol. 76(1-2), pages 107-128.
- Bo E. Honore & Ekaterini Kyriazidou & Christopher Udry, "undated". "Estimation of Type 3 Tobit Models using Symmetric Trimming and Pairwise Comparisons," Home Pages _001, Princeton University, Department of Economics.
- G. De Novellis & M. Doretti & G. E. Montanari & M. G. Ranalli & N. Salvati, 2024. "Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(3), pages 753-781, July.
- Karim Barigou & Valeria Bignozzi & Andreas Tsanakas, 2021. "Insurance valuation: A two-step generalised regression approach," Post-Print hal-03043244, HAL.
- 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.
- Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2024.
"Testing Granger non-causality in expectiles,"
Econometric Reviews, Taylor & Francis Journals, vol. 43(1), pages 30-51, January.
- Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2022. "Testing Granger Non-Causality in Expectiles," Working Papers 202207, University of Liverpool, Department of Economics.
- Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2023. "Testing Granger Non-Causality in Expectiles," University of East Anglia School of Economics Working Paper Series 2023-02, School of Economics, University of East Anglia, Norwich, UK..
- Gregory Kordas, 2006. "Smoothed binary regression quantiles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 387-407, April.
- Xiu Xu & Andrija Mihoci & Wolfgang Karl Hardle, 2020. "lCARE -- localizing Conditional AutoRegressive Expectiles," Papers 2009.13215, arXiv.org.
- Halkos, George, 2010. "Modelling biodiversity," MPRA Paper 39075, University Library of Munich, Germany.
- Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011.
"Investigating regional house price convergence in the United States: Evidence from a pair-wise approach,"
Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
- Mark J. Holmes & Theodore Panagiotidis & Jesus Otero, 2011. "Investigating Regional House Price Convergence in the United States: Evidence from a pair-wise approach," Discussion Paper Series 2011_12, Department of Economics, University of Macedonia, revised Jun 2011.
- Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2011. "Investigating Regional House Price Convergence in the United States: Evidence from a Pair-Wise Approach," Working Paper series 29_11, Rimini Centre for Economic Analysis.
- Hamidi, Benjamin & Maillet, Bertrand & Prigent, Jean-Luc, 2014.
"A dynamic autoregressive expectile for time-invariant portfolio protection strategies,"
Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 1-29.
- Benjamin HAMIDI & Bertrand MAILLET & Jean-Luc PRIGENT, 2013. "A Dynamic AutoRegressive Expectile for Time-Invariant Portfolio Protection Strategies," LEO Working Papers / DR LEO 164, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Benjamin Hamidi & Bertrand Maillet & Jean-Luc Prigent, 2014. "A dynamic autoregressive expectile for time-invariant portfolio protection strategies," Post-Print hal-01697643, HAL.
- Benjamin Hamidi & Bertrand Maillet & Jean-Luc Prigent, 2014. "A Dynamic AutoRegressive Expectile for Time-Invariant Portfolio Protection Strategies," Working Papers halshs-01015390, HAL.
- Benjamin Hamidi & Bertrand Maillet & Jean-Luc Prigent, 2014. "A Dynamic AutoRegressive Expectile for Time-Invariant Portfolio Protection Strategies," Working Papers 2014-131, Department of Research, Ipag Business School.
- Benjamin Hamidi & Bertrand Maillet & Jean-Luc Prigent, 2014. "A dynamic autoregressive expectile for time-invariant portfolio protection strategies," Post-Print hal-02312331, HAL.
- Alois Pichler, 2024. "Higher order measures of risk and stochastic dominance," Papers 2402.15387, arXiv.org.
- Chen, Yu & Ma, Mengyuan & Sun, Hongfang, 2023. "Statistical inference for extreme extremile in heavy-tailed heteroscedastic regression model," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 142-162.
- Daouia, Abdelaati & Girard, Stéphane & Stupfler, Gilles, 2017. "Extreme M-quantiles as risk measures: From L1 to Lp optimization," TSE Working Papers 17-841, Toulouse School of Economics (TSE).
- Normann Lorenz, 2014. "Using quantile regression for optimal risk adjustment," Research Papers in Economics 2014-11, University of Trier, Department of Economics.
- repec:hum:wpaper:sfb649dp2014-059 is not listed on IDEAS
- Edgars Jakobsons & Steven Vanduffel, 2015. "Dependence Uncertainty Bounds for the Expectile of a Portfolio," Risks, MDPI, vol. 3(4), pages 1-25, December.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2019.
"Statistical and economic evaluation of time series models for forecasting arrivals at call centers,"
Empirical Economics, Springer, vol. 57(3), pages 923-955, September.
- Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2016. "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," MPRA Paper 76308, University Library of Munich, Germany.
- Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2017. "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," ETA: Economic Theory and Applications 253725, Fondazione Eni Enrico Mattei (FEEM).
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2018. "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," Papers 1804.08315, arXiv.org.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2017. "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," Working Papers 2017.06, Fondazione Eni Enrico Mattei.
- Otto-Sobotka, Fabian & Salvati, Nicola & Ranalli, Maria Giovanna & Kneib, Thomas, 2019. "Adaptive semiparametric M-quantile regression," Econometrics and Statistics, Elsevier, vol. 11(C), pages 116-129.
- Matthias Fischer & Thorsten Moser & Marius Pfeuffer, 2018. "A Discussion on Recent Risk Measures with Application to Credit Risk: Calculating Risk Contributions and Identifying Risk Concentrations," Risks, MDPI, vol. 6(4), pages 1-28, December.
- Lazar, Emese & Xue, Xiaohan, 2020. "Forecasting risk measures using intraday data in a generalized autoregressive score framework," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1057-1072.
- Claudia Pacella, 2020. "Essays on Forecasting," ULB Institutional Repository 2013/307579, ULB -- Universite Libre de Bruxelles.
- Marco Alfò & Maria Francesca Marino & Maria Giovanna Ranalli & Nicola Salvati & Nikos Tzavidis, 2021. "M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 122-146, January.
- Denis Chetverikov & Jesper R.-V. Sørensen, 2021. "Analytic and Bootstrap-after-Cross-Validation Methods for Selecting Penalty Parameters of High-Dimensional M-Estimators," Discussion Papers 21-04, University of Copenhagen. Department of Economics.
- Peng Sun & Fuming Lin & Haiyang Xu & Kaizhi Yu, 2025. "Estimation of value-at-risk by $$L^{p}$$ L p quantile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(1), pages 25-59, February.
- Samuel Drapeau & Mekonnen Tadese, 2019. "Dual Representation of Expectile based Expected Shortfall and Its Properties," Papers 1911.03245, arXiv.org.
- Timmermann, Allan & Elliott, Graham & Komunjer, Ivana, 2003. "Estimating Loss Function Parameters," CEPR Discussion Papers 3821, C.E.P.R. Discussion Papers.
- Karim Barigou & Valeria Bignozzi & Andreas Tsanakas, 2020. "Insurance valuation: A two-step generalised regression approach," Papers 2012.04364, arXiv.org, revised Nov 2021.
- Naifar, Nader & Hammoudeh, Shawkat, 2016. "Do global financial distress and uncertainties impact GCC and global sukuk return dynamics?," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 57-69.
- Man, Rebeka & Tan, Kean Ming & Wang, Zian & Zhou, Wen-Xin, 2024. "Retire: Robust expectile regression in high dimensions," Journal of Econometrics, Elsevier, vol. 239(2).
- Daouia, Abdelaati & Stupfler, Gilles & Usseglio-Carleve, Antoine, 2022.
"Inference for extremal regression with dependent heavy-tailed data,"
TSE Working Papers
22-1324, Toulouse School of Economics (TSE), revised 29 Aug 2023.
- Abdelaati Daouia & Gilles Claude Stupfler & Antoine Usseglio-Carleve, 2023. "Inference for extremal regression with dependent heavy-tailed data," Post-Print hal-04554050, HAL.
- Beatrice Foroni & Luca Merlo & Lea Petrella, 2023. "Expectile hidden Markov regression models for analyzing cryptocurrency returns," Papers 2301.09722, arXiv.org, revised Jan 2024.
- Alois Pichler, 2024. "Connection between higher order measures of risk and stochastic dominance," Computational Management Science, Springer, vol. 21(2), pages 1-28, December.
- De Novellis, G. & Musile Tanzi, P. & Ranalli, M.G. & Stanghellini, E., 2024. "Leveraged finance exposure in the banking system: Systemic risk and interconnectedness," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
- Ruodu Wang & Yunran Wei, 2020. "Risk functionals with convex level sets," Mathematical Finance, Wiley Blackwell, vol. 30(4), pages 1337-1367, October.
- Song, Song & Ritov, Ya’acov & Härdle, Wolfgang K., 2012. "Bootstrap confidence bands and partial linear quantile regression," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 244-262.
- H. Kaibuchi & Y. Kawasaki & G. Stupfler, 2022.
"GARCH-UGH: a bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series,"
Quantitative Finance, Taylor & Francis Journals, vol. 22(7), pages 1277-1294, July.
- Hibiki Kaibuchi & Yoshinori Kawasaki & Gilles Stupfler, 2021. "GARCH-UGH: A bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series," Papers 2104.09879, arXiv.org.
- Fabio Bellini & Edit Rroji & Carlo Sala, 2022. "Implicit quantiles and expectiles," Annals of Operations Research, Springer, vol. 313(2), pages 733-753, June.
- Daouia, Abdelaati & Girard, Stéphane & Stupfler, Gilles, 2018. "Tail expectile process and risk assessment," TSE Working Papers 18-944, Toulouse School of Economics (TSE).
- Collin Philipps, 2022. "An Expectile Strong Law of Large Numbers," Working Papers 2022-05, Department of Economics and Geosciences, US Air Force Academy.
- Samuel Drapeau & Mekonnen Tadese, 2019. "Relative Bound and Asymptotic Comparison of Expectile with Respect to Expected Shortfall," Papers 1906.09729, arXiv.org, revised Jun 2020.
- repec:hum:wpaper:sfb649dp2017-020 is not listed on IDEAS
- Wiemann, Paul F.V. & Klein, Nadja & Kneib, Thomas, 2022. "Correcting for sample selection bias in Bayesian distributional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
- repec:hum:wpaper:sfb649dp2017-027 is not listed on IDEAS
- Yundong Tu & Siwei Wang, 2023. "Variable Screening and Model Averaging for Expectile Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 574-598, June.
- Said Khalil, 2022. "Expectile-based capital allocation," Working Papers hal-03816525, HAL.
- Gschöpf, Philipp & Härdle, Wolfgang Karl & Mihoci, Andrija, 2015. "TERES: Tail event risk expectile based shortfall," SFB 649 Discussion Papers 2015-047, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Granger, Clive W.J. & Sin, Chor-yiu, 1999. "Modelling the Absolute Returns of Different Stock Indices: Exploring the Forecastability of an Alternative Measure of Risk," University of California at San Diego, Economics Working Paper Series qt48r4781r, Department of Economics, UC San Diego.
- Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
- Sultana Didi & Salim Bouzebda, 2022. "Wavelet Density and Regression Estimators for Continuous Time Functional Stationary and Ergodic Processes," Mathematics, MDPI, vol. 10(22), pages 1-37, November.
- Özdemir Onur, 2023. "A Spillover Effect of Human Capital on Gross Capital Formation: A Quantile Regression Approach," Zagreb International Review of Economics and Business, Sciendo, vol. 26(1), pages 77-96.
- Yang, Ann Shawing, 2016. "Calendar trading of Taiwan stock market: A study of holidays on trading detachment and interruptions," Emerging Markets Review, Elsevier, vol. 28(C), pages 140-154.
- V'eronique Maume-Deschamps & Didier Rulli`ere & Khalil Said, 2017.
"Asymptotic multivariate expectiles,"
Papers
1704.07152, arXiv.org, revised Jan 2018.
- Véronique Maume-Deschamps & Didier Rullière & Khalil Said, 2018. "Asymptotic Multivariate Expectiles," Working Papers hal-01509963, HAL.
- Di Bernardino, Elena & Laloë, Thomas & Pakzad, Cambyse, 2024. "Estimation of extreme multivariate expectiles with functional covariates," Journal of Multivariate Analysis, Elsevier, vol. 202(C).
- Tao Chen & Gautam Tripathi, 2013.
"Testing conditional symmetry without smoothing,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 273-313, June.
- Tao Chen & Gautam Tripathi, 2011. "Testing Conditional Symmetry Without Smoothing," Working papers 2011-01, University of Connecticut, Department of Economics.
- Hidehiko Ichimura & Whitney K. Newey, 2022.
"The influence function of semiparametric estimators,"
Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers 44/15, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers 06/17, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The Influence Function of Semiparametric Estimators," CIRJE F-Series CIRJE-F-985, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers CWP06/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers CWP44/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Tadese, Mekonnen & Drapeau, Samuel, 2020. "Relative bound and asymptotic comparison of expectile with respect to expected shortfall," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 387-399.
- Litimein, Ouahiba & Laksaci, Ali & Mechab, Boubaker & Bouzebda, Salim, 2023. "Local linear estimate of the functional expectile regression," Statistics & Probability Letters, Elsevier, vol. 192(C).
- Tran, Ngoc M. & Burdejová, Petra & Ospienko, Maria & Härdle, Wolfgang K., 2019.
"Principal component analysis in an asymmetric norm,"
Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 1-21.
- Tran, Ngoc Mai & Burdejová, Petra & Osipenko, Maria & Härdle, Wolfgang Karl, 2016. "Principal component analysis in an asymmetric norm," SFB 649 Discussion Papers 2016-040, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang Karl, 2022.
"K-expectiles clustering,"
Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang, 2021. "K-expectiles clustering," IRTG 1792 Discussion Papers 2021-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Daouia, Abdelaati & Padoan, Simone A. & Stupfler, Gilles, 2023. "Extreme expectile estimation for short-tailed data, with an application to market risk assessment," TSE Working Papers 23-1414, Toulouse School of Economics (TSE), revised May 2024.
- Adam Gorajek, 2019. "The Well-meaning Economist," RBA Research Discussion Papers rdp2019-08, Reserve Bank of Australia.
- Stéphane Girard & Gilles Claude Stupfler & Antoine Usseglio-Carleve, 2021. "Extreme Conditional Expectile Estimation in Heavy-Tailed Heteroscedastic Regression Models," Post-Print hal-03306230, HAL.
- Jakobsons Edgars, 2016. "Scenario aggregation method for portfolio expectile optimization," Statistics & Risk Modeling, De Gruyter, vol. 33(1-2), pages 51-65, September.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2021.
"A unified framework for efficient estimation of general treatment models,"
Quantitative Economics, Econometric Society, vol. 12(3), pages 779-816, July.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
- Ai, C. & Linton, O. & Motegi, K. & Zhang, Z., 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," Cambridge Working Papers in Economics 1934, Faculty of Economics, University of Cambridge.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yu, Ping & Song, Xinyuan & Du, Jiang, 2024. "Composite expectile estimation in partial functional linear regression model," Journal of Multivariate Analysis, Elsevier, vol. 203(C).
- De Rossi, Giuliano & Harvey, Andrew, 2009.
"Quantiles, expectiles and splines,"
Journal of Econometrics, Elsevier, vol. 152(2), pages 179-185, October.
- DeRossi, G. & Harvey, A., 2007. "Quantiles, Expectiles and Splines," Cambridge Working Papers in Economics 0702, Faculty of Economics, University of Cambridge.
- DeRossi, G. & Harvey, A., 2007. "Quantiles, Expectiles and Splines," Cambridge Working Papers in Economics 0660, Faculty of Economics, University of Cambridge.
- Parente, Paulo M.D.C. & Smith, Richard J., 2011.
"Gel Methods For Nonsmooth Moment Indicators,"
Econometric Theory, Cambridge University Press, vol. 27(1), pages 74-113, February.
- Paulo Parente & Richard Smith, 2008. "GEL methods for non-smooth moment indicators," CeMMAP working papers CWP19/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Natalia Nolde & Johanna F. Ziegel, 2016. "Elicitability and backtesting: Perspectives for banking regulation," Papers 1608.05498, arXiv.org, revised Feb 2017.
- Manganelli, Simone, 2007. "Asset allocation by penalized least squares," Working Paper Series 723, European Central Bank.
- Chen, Zehua, 1996. "Conditional Lp-quantiles and their application to the testing of symmetry in non-parametric regression," Statistics & Probability Letters, Elsevier, vol. 29(2), pages 107-115, August.
- Mao, Tiantian & Stupfler, Gilles & Yang, Fan, 2023.
"Asymptotic properties of generalized shortfall risk measures for heavy-tailed risks,"
Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 173-192.
- Tiantian Mao & Gilles Stupfler & Fan Yang, 2024. "Asymptotic Properties of Generalized Shortfall Risk Measures for Heavy-tailed Risks," Papers 2411.07212, arXiv.org.
- Minji Lee & Zhihua Su, 2020. "A Review of Envelope Models," International Statistical Review, International Statistical Institute, vol. 88(3), pages 658-676, December.
- Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014.
"Causality and predictability in distribution: The ethanol–food price relation revisited,"
Energy Economics, Elsevier, vol. 42(C), pages 152-160.
- Marzio GALEOTTI & Andrea BASTIANIN & Matteo MANERA, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Departmental Working Papers 2013-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Working Papers 2013.23, Fondazione Eni Enrico Mattei.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," IEFE Working Papers 56, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Working Papers 241, University of Milano-Bicocca, Department of Economics, revised Mar 2013.
- Chen, Xiaohong & Liu, Ying & Ma, Shujie & Zhang, Zheng, 2024. "Causal inference of general treatment effects using neural networks with a diverging number of confounders," Journal of Econometrics, Elsevier, vol. 238(1).
- Tobias Fissler & Johanna F. Ziegel, 2019. "Evaluating Range Value at Risk Forecasts," Papers 1902.04489, arXiv.org, revised Nov 2020.
- Chi, Yichun & Liu, Fangda, 2017. "Optimal insurance design in the presence of exclusion clauses," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 185-195.
- Fabio Bellini & Bernhard Klar & Alfred Müller, 2018. "Expectiles, Omega Ratios and Stochastic Ordering," Methodology and Computing in Applied Probability, Springer, vol. 20(3), pages 855-873, September.
- repec:hum:wpaper:sfb649dp2014-001 is not listed on IDEAS
- Daouia, Abdelaati & Stupfler, Gilles & Usseglio-Carleve, Antoine, 2023.
"An expectile computation cookbook,"
TSE Working Papers
23-1458, Toulouse School of Economics (TSE).
- Abdelaati Daouia & Gilles Stupfler & Antoine Usseglio-Carleve, 2024. "An expectile computation cookbook," Post-Print hal-04524319, HAL.
- Dingshi Tian & Zongwu Cai & Ying Fang, 2018. "Econometric Modeling of Risk Measures: A Selective Review of the Recent Literature," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201807, University of Kansas, Department of Economics, revised Oct 2018.
- Abdelaati Daouia & Stéphane Girard & Gilles Stupfler, 2018.
"Estimation of tail risk based on extreme expectiles,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(2), pages 263-292, March.
- Daouia, Abdelaati & Girard, Stéphane & Stupfler, Gilles, 2015. "Estimation of Tail Risk based on Extreme Expectiles," TSE Working Papers 15-566, Toulouse School of Economics (TSE), revised Jul 2017.
- Cannon, Alex J., 2017. "Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes," Earth Arxiv wg7sn, Center for Open Science.
- Machado, Jose A. F. & Silva, J. M. C. Santos, 2000. "Glejser's test revisited," Journal of Econometrics, Elsevier, vol. 97(1), pages 189-202, July.
- Abdelaati Daouia & Irène Gijbels & Gilles Stupfler, 2022.
"Extremile Regression,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1579-1586, September.
- Daouia, Abdelaati & Gijbels, Irene & Stupfler, Gilles, 2021. "Extremile Regression," TSE Working Papers 21-1176, Toulouse School of Economics (TSE).
- Abdelaati Daouia & Irene Gijbels & Gilles Stupfler, 2021. "Extremile regression," Post-Print hal-03181017, HAL.
- Abdelaati Daouia & Gilles Stupfler, 2024. "Extremile Regression," Post-Print hal-04697061, HAL.
- Daouia, Abdelaati & Stupfler, Gilles, 2024. "Extremile Regression," TSE Working Papers 24-1546, Toulouse School of Economics (TSE).
- Akosah, Nana & Alagidede, Imhotep & Schaling, Eric, 2019. "Unfolding the monetary policy rule in Ghana: quantile-based evidence within time-frequency framework," MPRA Paper 103260, University Library of Munich, Germany, revised 01 Oct 2020.
- Bonaccolto, Giovanni & Caporin, Massimiliano & Maillet, Bertrand B., 2022.
"Dynamic large financial networks via conditional expected shortfalls,"
European Journal of Operational Research, Elsevier, vol. 298(1), pages 322-336.
- Giovanni Bonaccolto & Massimiliano Caporin & Bertrand Maillet, 2022. "Dynamic Large Financial Networks via Conditional Expected Shortfalls," Post-Print hal-03287947, HAL.
- Mohammedi, Mustapha & Bouzebda, Salim & Laksaci, Ali, 2021. "The consistency and asymptotic normality of the kernel type expectile regression estimator for functional data," Journal of Multivariate Analysis, Elsevier, vol. 181(C).
- Basu, Sudipta & Markov, Stanimir, 2004. "Loss function assumptions in rational expectations tests on financial analysts' earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 171-203, December.
- Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2024. "Forecasting the effect of extreme sea-level rise on financial market risk," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1-27.
- Bellini, Fabio, 2012. "Isotonicity properties of generalized quantiles," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 2017-2024.
- Beatrice Foroni & Luca Merlo & Lea Petrella, 2023. "Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market," Papers 2307.06400, arXiv.org.
- Qinyu Wu & Fan Yang & Ping Zhang, 2023. "Conditional generalized quantiles based on expected utility model and equivalent characterization of properties," Papers 2301.12420, arXiv.org.
- Gilbert Bassett, 2022. "The Goat in the City," The Mathematical Intelligencer, Springer, vol. 44(1), pages 1-6, March.
- Sánchez Serrano, Antonio, 2021. "The impact of non-performing loans on bank lending in Europe: An empirical analysis," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
- Bakhtiar Javaheri & Fateh habibi & Ramin Amani, 2022. "Economic policy uncertainty and the US stock market trading: non-ARDL evidence," Future Business Journal, Springer, vol. 8(1), pages 1-10, December.
- repec:cte:wsrepe:35465 is not listed on IDEAS
- Tae-Hwy Lee & Tao Wang, 2023.
"Estimation and Testing of Forecast Rationality with Many Moments,"
Papers
2309.09481, arXiv.org.
- Tae-Hwy Lee & Tao Wang, 2023. "Estimation and Testing of Forecast Rationality with Many Moments," Working Papers 202307, University of California at Riverside, Department of Economics.
- Härdle, Wolfgang Karl & Ritov, Ya'acov & Song, Song, 2010. "Partial linear quantile regression and bootstrap confidence bands," SFB 649 Discussion Papers 2010-002, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Kim, Minjo & Lee, Sangyeol, 2016. "Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 1-19.
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