Measurement of common risks in tails: A panel quantile regression model for financial returns
Author
Abstract
Suggested Citation
DOI: 10.1016/j.finmar.2020.100562
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Manski, Charles F., 1986.
"Ordinal Utility Models Of Decision Making Under Uncertainty,"
SSRI Workshop Series
292682, University of Wisconsin-Madison, Social Systems Research Institute.
- Manski, C.F., 1988. "Ordinal Utility Models Of Decision Making Under Uncertainty," Working papers 363, Wisconsin Madison - Social Systems.
- Gilbert W. Bassett, 2004.
"Pessimistic Portfolio Allocation and Choquet Expected Utility,"
Journal of Financial Econometrics, Oxford University Press, vol. 2(4), pages 477-492.
- 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.
- Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2006.
"Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation,"
Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 1-30.
- Neil Shephard & Ole Barndorff-Nielsen, 2003. "Econometrics of testing for jumps in financial economics using bipower variation," Economics Series Working Papers 2004-FE-01, University of Oxford, Department of Economics.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2004. "Econometrics of testing for jumps in financial economics using bipower variationÂ," OFRC Working Papers Series 2004fe01, Oxford Financial Research Centre.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Econometrics of testing for jumps in financial economics using bipower variation," Economics Papers 2003-W21, Economics Group, Nuffield College, University of Oxford.
- Baur, Dirk G. & Dimpfl, Thomas & Jung, Robert C., 2012.
"Stock return autocorrelations revisited: A quantile regression approach,"
Journal of Empirical Finance, Elsevier, vol. 19(2), pages 254-265.
- Baur, Dirk G. & Dimpfl, Thomas & Jung, Robert C., 2012. "Stock return autocorrelations revisited: A quantile regression approach," University of Tübingen Working Papers in Business and Economics 24, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
- Tim Bollerslev & Benjamin Hood & John Huss & Lasse Heje Pedersen, 2018.
"Risk Everywhere: Modeling and Managing Volatility,"
The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2729-2773.
- Pedersen, Lasse Heje & Bollerslev, Tim & Hood, Benjamin & Huss, John, 2018. "Risk Everywhere: Modeling and Managing Volatility," CEPR Discussion Papers 12687, C.E.P.R. Discussion Papers.
- Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020.
"Taming the Factor Zoo: A Test of New Factors,"
Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
- Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2019. "Taming the Factor Zoo: A Test of New Factors," NBER Working Papers 25481, National Bureau of Economic Research, Inc.
- Giglio, Stefano & Feng, Guanhao & Xiu, Dacheng, 2020. "Taming the Factor Zoo: A Test of New Factors," CEPR Discussion Papers 14266, C.E.P.R. Discussion Papers.
- Covas, Francisco B. & Rump, Ben & Zakrajšek, Egon, 2014.
"Stress-testing US bank holding companies: A dynamic panel quantile regression approach,"
International Journal of Forecasting, Elsevier, vol. 30(3), pages 691-713.
- Francisco Covas & Ben Rump & Egon Zakrajšek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
- Bruno C. Giovannetti, 2013.
"Asset pricing under quantile utility maximization,"
Review of Financial Economics, John Wiley & Sons, vol. 22(4), pages 169-179, November.
- Giovannetti, Bruno C., 2013. "Asset pricing under quantile utility maximization," Review of Financial Economics, Elsevier, vol. 22(4), pages 169-179.
- Bruno Cara Giovannetti, 2012. "Asset Pricing under Quantile Utility Maximization," Working Papers, Department of Economics 2012_16, University of São Paulo (FEA-USP).
- Ott Toomet, 2011. "Learn English, Not the Local Language! Ethnic Russians in the Baltic States," American Economic Review, American Economic Association, vol. 101(3), pages 526-531, May.
- Lorenzo Cappiello & Bruno Gérard & Arjan Kadareja & Simone Manganelli, 2014.
"Measuring Comovements by Regression Quantiles,"
Journal of Financial Econometrics, Oxford University Press, vol. 12(4), pages 645-678.
- Cappiello, Lorenzo & Manganelli, Simone & Gérard, Bruno, 2005. "Measuring comovements by regression quantiles," Working Paper Series 501, European Central Bank.
- Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
- Andersen, Torben G. & Bollerslev, Tim & Huang, Xin, 2011.
"A reduced form framework for modeling volatility of speculative prices based on realized variation measures,"
Journal of Econometrics, Elsevier, vol. 160(1), pages 176-189, January.
- Torben G. Andersen & Tim Bollerslev & Xin Huang, 2007. "A Reduced Form Framework for Modeling Volatility of Speculative Prices based on Realized Variation Measures," CREATES Research Papers 2007-14, Department of Economics and Business Economics, Aarhus University.
- Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
- Chambers, Christopher P., 2007. "Ordinal aggregation and quantiles," Journal of Economic Theory, Elsevier, vol. 137(1), pages 416-431, November.
- Liang Chen & Juan J. Dolado & Jesús Gonzalo, 2021.
"Quantile Factor Models,"
Econometrica, Econometric Society, vol. 89(2), pages 875-910, March.
- Chen, Liang, 2017. "Quantile Factor Models," UC3M Working papers. Economics 25299, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Chen, Liang & Dolado, Juan J. & Gonzalo, Jesús, 2020. "Quantile Factor Models," IZA Discussion Papers 13870, Institute of Labor Economics (IZA).
- Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
- Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
- Jeremy Berkowitz & Peter Christoffersen & Denis Pelletier, 2011.
"Evaluating Value-at-Risk Models with Desk-Level Data,"
Management Science, INFORMS, vol. 57(12), pages 2213-2227, December.
- Jeremy Berkowitz & Peter Christoffersen & Denis Pelletier, 2005. "Evaluating Value-at-Risk models with desk-level data," Working Paper Series 010, North Carolina State University, Department of Economics, revised Dec 2006.
- Peter Christoffersen & Jeremy Berkowitz & Denis Pelletier, 2008. "Evaluating Value-at-Risk Models with Desk-Level Data," CREATES Research Papers 2009-35, Department of Economics and Business Economics, Aarhus University.
- Robert F. Engle & Simone Manganelli, 2004.
"CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
- Engle, Robert F & Manganelli, Simone, 1999. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," University of California at San Diego, Economics Working Paper Series qt06m3d6nv, Department of Economics, UC San Diego.
- Robert Engle & Simone Manganelli, 2000. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Econometric Society World Congress 2000 Contributed Papers 0841, Econometric Society.
- Neil Foster-McGregor & Anders Isaksson & Florian Kaulich, 2014.
"Importing, exporting and performance in sub-Saharan African manufacturing firms,"
Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(2), pages 309-336, May.
- Neil Foster-McGregor & Anders Isaksson & Florian Kaulich, 2013. "Importing, Exporting and Performance in Sub-Saharan African Manufacturing Firms," wiiw Working Papers 96, The Vienna Institute for International Economic Studies, wiiw.
- Harding, Matthew & Lamarche, Carlos, 2014.
"Estimating and testing a quantile regression model with interactive effects,"
Journal of Econometrics, Elsevier, vol. 178(P1), pages 101-113.
- Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
- Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
- Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003.
"Modeling and Forecasting Realized Volatility,"
Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," Center for Financial Institutions Working Papers 01-01, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Anderson, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Labys, Paul, 2002. "Modeling and Forecasting Realized Volatility," Working Papers 02-12, Duke University, Department of Economics.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," NBER Working Papers 8160, National Bureau of Economic Research, Inc.
- David Powell & Joachim Wagner, 2021.
"The Exporter Productivity Premium Along the Productivity Distribution: Evidence from Quantile Regression with Nonadditive Firm Fixed Effects,"
World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 9, pages 121-149,
World Scientific Publishing Co. Pte. Ltd..
- David Powell & Joachim Wagner, 2014. "The exporter productivity premium along the productivity distribution: evidence from quantile regression with nonadditive firm fixed effects," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(4), pages 763-785, November.
- Clements, Michael P. & Galvão, Ana Beatriz & Kim, Jae H., 2008.
"Quantile forecasts of daily exchange rate returns from forecasts of realized volatility,"
Journal of Empirical Finance, Elsevier, vol. 15(4), pages 729-750, September.
- Clements, Michael P. & Galvão, Ana Beatriz & Kim, Jae H., 2006. "Quantile Forecasts of Daily Exchange Rate Returns from Forecasts of Realized Volatility," The Warwick Economics Research Paper Series (TWERPS) 777, University of Warwick, Department of Economics.
- Clements, Michael P. & Galvao, Ana Beatriz & Kim, Jae H., 2006. "Quantile Forecasts of Daily Exchange Rate Returns from Forecasts of Realized Volatility," Economic Research Papers 269747, University of Warwick - Department of Economics.
- Giacomini, Raffaella & Komunjer, Ivana, 2002. "Evaluation and Combination of Conditional Quantile Forecasts," University of California at San Diego, Economics Working Paper Series qt4n99t4wz, Department of Economics, UC San Diego.
- Gilles Dufrenot & Valerie Mignon & Charalambos Tsangarides, 2010.
"The trade-growth nexus in the developing countries: a quantile regression approach,"
Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(4), pages 731-761, December.
- Gilles Dufrénot & Valérie Mignon & Charalambos Tsangarides, 2009. "The Trade-Growth Nexus in the Developing Countries: a Quantile Regression Approach," Working Papers 2009-04, CEPII research center.
- Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018.
"A quantile correlated random coefficients panel data model,"
Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers CWP34/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
- Filip Žikeš & Jozef Baruník, 2016.
"Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(1), pages 185-226.
- Filip Zikes & Jozef Barunik, 2013. "Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility," Papers 1308.4276, arXiv.org.
- Žikeš, Filip & Baruník, Jozef, 2014. "Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility," FinMaP-Working Papers 20, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Alexander Kempf & Christoph Memmel, 2006. "Estimating the global Minimum Variance Portfolio," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 58(4), pages 332-348, October.
- Giacomini, Raffaella & Komunjer, Ivana, 2005.
"Evaluation and Combination of Conditional Quantile Forecasts,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 416-431, October.
- Giacomini, Raffaella & Komunjer, Ivana, 2002. "Evaluation and Combination of Conditional Quantile Forecasts," University of California at San Diego, Economics Working Paper Series qt4n99t4wz, Department of Economics, UC San Diego.
- Raffaella Giacomini & Ivana Komunjer, 2003. "Evaluation and Combination of Conditional Quantile Forecasts," Boston College Working Papers in Economics 571, Boston College Department of Economics.
- Klomp, Jeroen & Haan, Jakob de, 2012. "Banking risk and regulation: Does one size fit all?," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3197-3212.
- Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
- Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013.
"Wage Dispersion and Decentralization of Wage Bargaining,"
Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
- Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2009. "Wage Dispersion and Decentralization of Wage Bargaining," Discussion Papers 09-15, University of Copenhagen. Department of Economics.
- Dahl, Christian M. & le Maire, Daniel & Munch, Jakob R., 2011. "Wage Dispersion and Decentralization of Wage Bargaining," IZA Discussion Papers 6176, Institute of Labor Economics (IZA).
- Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2011. "Wage Dispersion and Decentralization of Wage Bargaining," CREATES Research Papers 2011-48, Department of Economics and Business Economics, Aarhus University.
- White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2015.
"VAR for VaR: Measuring tail dependence using multivariate regression quantiles,"
Journal of Econometrics, Elsevier, vol. 187(1), pages 169-188.
- Habert white & Tae-Hwan Kim & Simone Manganelli, 2012. "VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles," Working papers 2012rwp-45, Yonsei University, Yonsei Economics Research Institute.
- Manganelli, Simone & White, Halbert & Kim, Tae-Hwan, 2015. "VAR for VaR: measuring tail dependence using multivariate regression quantiles," Working Paper Series 1814, European Central Bank.
- Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
- Lamarche, Carlos, 2008. "Private school vouchers and student achievement: A fixed effects quantile regression evaluation," Labour Economics, Elsevier, vol. 15(4), pages 575-590, August.
- Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
- Andrew J. Patton & Kevin Sheppard, 2015. "Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 683-697, July.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2004. "Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics," Econometrica, Econometric Society, vol. 72(3), pages 885-925, May.
- 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.
- Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Luciano de Castro & Antonio F. Galvao, 2019. "Dynamic Quantile Models of Rational Behavior," Econometrica, Econometric Society, vol. 87(6), pages 1893-1939, November.
- French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
- Antonio F. Galvao & Gabriel Montes-Rojas, 2015. "On Bootstrap Inference for Quantile Regression Panel Data: A Monte Carlo Study," Econometrics, MDPI, vol. 3(3), pages 1-13, September.
- 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.
- Ole E. Barndorff-Nielsen, 2004.
"Power and Bipower Variation with Stochastic Volatility and Jumps,"
Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 1-37.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Power and bipower variation with stochastic volatility and jumps," Economics Papers 2003-W17, Economics Group, Nuffield College, University of Oxford.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
- 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.
- Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
- Bollerslev, Tim & Li, Sophia Zhengzi & Zhao, Bingzhi, 2020. "Good Volatility, Bad Volatility, and the Cross Section of Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(3), pages 751-781, May.
- R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
- Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
- Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.
- Tomohiro Ando & Jushan Bai, 2020.
"Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 266-279, January.
- Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
- Marzena Rostek, 2010. "Quantile Maximization in Decision Theory ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 339-371.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Siddique, Md Abubakar & Nobanee, Haitham & Karim, Sitara & Naz, Farah, 2023. "Do green financial markets offset the risk of cryptocurrencies and carbon markets?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 822-833.
- Chavas, Jean-Paul & Li, Jian & Wang, Linjie, 2024. "Option pricing revisited: The role of price volatility and dynamics," Journal of Commodity Markets, Elsevier, vol. 33(C).
- Shafiullah, Muhammad & Senthilkumar, Arunachalam & Lucey, Brian M. & Naeem, Muhammad Abubakr, 2024. "Deciphering asymmetric spillovers in US industries: Insights from higher-order moments," Research in International Business and Finance, Elsevier, vol. 70(PA).
- Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 271-283.
- de Castro, Luciano & Galvao, Antonio F. & Muchon, Andre, 2023. "Numerical Solution of Dynamic Quantile Models," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
- Qicheng Zhao & Zhouwei Wang & Yuping Song, 2024. "Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1137-1162, August.
- Chavas, Jean-Paul & Li, Jian & Wang, Linjie, 2024. "Option Pricing Revisited: The Role of Price Volatility and Dynamics," 2024 Annual Meeting, July 28-30, New Orleans, LA 343544, Agricultural and Applied Economics Association.
- Karim, Sitara & Shafiullah, Muhammad & Naeem, Muhammad Abubakr, 2024. "When one domino falls, others follow: A machine learning analysis of extreme risk spillovers in developed stock markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
- Cosmin Octavian Cepoi & Victor Dragotă & Ruxandra Trifan & Andreea Iordache, 2023. "Probability of informed trading during the COVID-19 pandemic: the case of the Romanian stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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.
- Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
- František Čech & Jozef Baruník, 2019.
"Panel quantile regressions for estimating and predicting the value‐at‐risk of commodities,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1167-1189, September.
- Frantiv{s}ek v{C}ech & Jozef Barun'ik, 2018. "Panel quantile regressions for estimating and predicting the Value--at--Risk of commodities," Papers 1807.11823, arXiv.org.
- Liang Chen & Juan J. Dolado & Jesús Gonzalo, 2021.
"Quantile Factor Models,"
Econometrica, Econometric Society, vol. 89(2), pages 875-910, March.
- Chen, Liang, 2017. "Quantile Factor Models," UC3M Working papers. Economics 25299, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
- Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
- Chen, Liang & Dolado, Juan J. & Gonzalo, Jesús, 2020. "Quantile Factor Models," IZA Discussion Papers 13870, Institute of Labor Economics (IZA).
- Filip Žikeš & Jozef Baruník, 2016.
"Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(1), pages 185-226.
- Filip Zikes & Jozef Barunik, 2013. "Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility," Papers 1308.4276, arXiv.org.
- Žikeš, Filip & Baruník, Jozef, 2014. "Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility," FinMaP-Working Papers 20, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020.
"On the unbiased asymptotic normality of quantile regression with fixed effects,"
Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
- Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
- Santos, Douglas G. & Candido, Osvaldo & Tófoli, Paula V., 2022. "Forecasting risk measures using intraday and overnight information," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
- Tomohiro Ando & Jushan Bai, 2020.
"Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 266-279, January.
- Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
- 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.
- Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019.
"High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing,"
The Warwick Economics Research Paper Series (TWERPS)
1230, University of Warwick, Department of Economics.
- Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
- Panagiotidis, Theodore & Printzis, Panagiotis, 2021. "Investment and uncertainty: Are large firms different from small ones?," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
- Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
- Alexander Blasberg & Rüdiger Kiesel & Luca Taschini, 2022.
"Carbon Default Swap - Disentangling the Exposure to Carbon Risk through CDS,"
CESifo Working Paper Series
10016, CESifo.
- Blasberg, Alexander & Kiesel, Rüdiger & Taschini, Luca, 2023. "Carbon default swap – disentangling the exposure to carbon risk through CDS," LSE Research Online Documents on Economics 118096, London School of Economics and Political Science, LSE Library.
- Blasberg, Alexander & Kiesel, Rüdiger & Taschini, Luca, 2023. "Carbon default swap – disentangling the exposure to carbon risk through CDS," LSE Research Online Documents on Economics 118092, London School of Economics and Political Science, LSE Library.
- Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
- Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
- Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
- Xiao, Zhijie & Xu, Lan, 2019. "What do mean impacts miss? Distributional effects of corporate diversification," Journal of Econometrics, Elsevier, vol. 213(1), pages 92-120.
- Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
- Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
- 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.
- 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).
- Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
More about this item
Keywords
Panel quantile regression; Realized measures; Value-at-risk;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finmar:v:52:y:2021:i:c:s1386418120300318. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/finmar .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.