Ji Hyung Lee
Personal Details
First Name: | Ji Hyung |
Middle Name: | |
Last Name: | Lee |
Suffix: | |
RePEc Short-ID: | ple807 |
[This author has chosen not to make the email address public] | |
http://sites.google.com/site/jihyung412/home | |
Terminal Degree: | 2013 Economics Department; Yale University (from RePEc Genealogy) |
Affiliation
Department of Economics
University of Illinois at Urbana-Champaign
Urbana-Champaign, Illinois (United States)http://www.economics.illinois.edu/
RePEc:edi:deuiuus (more details at EDIRC)
Research output
Jump to: Working papers Articles ChaptersWorking papers
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Capital and Labor Income Pareto Exponents in the United States, 1916-2019," Papers 2206.04257, arXiv.org.
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022.
"Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data,"
Papers
2204.05480, arXiv.org, revised May 2023.
- Lee, Ji Hyung & Sasaki, Yuya & Toda, Alexis Akira & Wang, Yulong, 2024. "Tuning parameter-free nonparametric density estimation from tabulated summary data," Journal of Econometrics, Elsevier, vol. 238(1).
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2021. "Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400," Papers 2105.10007, arXiv.org, revised Sep 2022.
- Rui Fan & Ji Hyung Lee & Youngki Shin, 2021.
"Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach,"
Papers
2101.11568, arXiv.org, revised Dec 2022.
- Fan, Rui & Lee, Ji Hyung & Shin, Youngki, 2023. "Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach," Journal of Econometrics, Elsevier, vol. 237(2).
- Ji Hyung Lee & Youngki Shin, 2020.
"Complete Subset Averaging for Quantile Regressions,"
Papers
2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018.
"Quantilograms under Strong Dependence,"
Working Paper Series
no111, Institute of Economic Research, Seoul National University.
- Lee, Ji Hyung & Linton, Oliver & Whang, Yoon-Jae, 2020. "Quantilograms Under Strong Dependence," Econometric Theory, Cambridge University Press, vol. 36(3), pages 457-487, June.
- Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018.
"On LASSO for Predictive Regression,"
Papers
1810.03140, arXiv.org, revised Feb 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Lee, JiHyung, 2015.
"Predictive quantile regression with persistent covariates: IVX-QR approach,"
MPRA Paper
65150, University Library of Munich, Germany.
- Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
- Peter C.B. Phillips & Ji Hyung Lee, 2012. "VARs with Mixed Roots Near Unity," Cowles Foundation Discussion Papers 1845, Cowles Foundation for Research in Economics, Yale University.
Articles
- Heejoon Han & Whayoung Jung & Ji Hyung Lee, 2024. "Estimation and Inference of Quantile Impulse Response Functions by Local Projections: With Applications to VaR Dynamics," Journal of Financial Econometrics, Oxford University Press, vol. 22(1), pages 1-29.
- Lee, Ji Hyung & Sasaki, Yuya & Toda, Alexis Akira & Wang, Yulong, 2024.
"Tuning parameter-free nonparametric density estimation from tabulated summary data,"
Journal of Econometrics, Elsevier, vol. 238(1).
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data," Papers 2204.05480, arXiv.org, revised May 2023.
- Fan, Rui & Lee, Ji Hyung & Shin, Youngki, 2023.
"Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Rui Fan & Ji Hyung Lee & Youngki Shin, 2021. "Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach," Papers 2101.11568, arXiv.org, revised Dec 2022.
- Lee, Ji Hyung & Park, Byoung G., 2023. "Nonparametric identification and estimation of the extended Roy model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1087-1113.
- Lee, Ji Hyung & Shin, Youngki, 2023.
"Complete Subset Averaging For Quantile Regressions,"
Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Lee, Ji Hyung & Linton, Oliver & Whang, Yoon-Jae, 2020.
"Quantilograms Under Strong Dependence,"
Econometric Theory, Cambridge University Press, vol. 36(3), pages 457-487, June.
- Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018. "Quantilograms under Strong Dependence," Working Paper Series no111, Institute of Economic Research, Seoul National University.
- Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
- Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
- Lee, Ji Hyung, 2019. "Martingale decomposition and approximations for nonlinearly dependent processes," Statistics & Probability Letters, Elsevier, vol. 152(C), pages 35-42.
- Lee, Ji Hyung & Liao, Zhipeng, 2018. "On Standard Inference For Gmm With Local Identification Failure Of Known Forms," Econometric Theory, Cambridge University Press, vol. 34(4), pages 790-814, August.
- Lee, Ji Hyung & Phillips, Peter C.B., 2016. "Asset pricing with financial bubble risk," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 590-622.
- Phillips, Peter C.B. & Lee, Ji Hyung, 2016. "Robust econometric inference with mixed integrated and mildly explosive regressors," Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
- Lee, Ji Hyung, 2016.
"Predictive quantile regression with persistent covariates: IVX-QR approach,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
- Lee, JiHyung, 2015. "Predictive quantile regression with persistent covariates: IVX-QR approach," MPRA Paper 65150, University Library of Munich, Germany.
- Peter C. B. Phillips & Ji Hyung Lee, 2015. "Limit Theory for VARs with Mixed Roots Near Unity," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1035-1056, December.
- Phillips, Peter C.B. & Lee, Ji Hyung, 2013. "Predictive regression under various degrees of persistence and robust long-horizon regression," Journal of Econometrics, Elsevier, vol. 177(2), pages 250-264.
Chapters
- Whayoung Jung & Ji Hyung Lee, 2023. "Quantile Impulse Response Analysis with Applications in Macroeconomics and Finance," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 99-131, Emerald Group Publishing Limited.
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
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022.
"Capital and Labor Income Pareto Exponents in the United States, 1916-2019,"
Papers
2206.04257, arXiv.org.
Cited by:
- Harmenberg, Karl, 2020.
"A Simple Theory of Pareto Earnings,"
Working Papers
21-2020, Copenhagen Business School, Department of Economics.
- Harmenberg, Karl, 2024. "A simple theory of Pareto-distributed earnings," Economics Letters, Elsevier, vol. 234(C).
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022.
"Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data,"
Papers
2204.05480, arXiv.org, revised May 2023.
- Lee, Ji Hyung & Sasaki, Yuya & Toda, Alexis Akira & Wang, Yulong, 2024. "Tuning parameter-free nonparametric density estimation from tabulated summary data," Journal of Econometrics, Elsevier, vol. 238(1).
- Harmenberg, Karl, 2020.
"A Simple Theory of Pareto Earnings,"
Working Papers
21-2020, Copenhagen Business School, Department of Economics.
- Ji Hyung Lee & Youngki Shin, 2020.
"Complete Subset Averaging for Quantile Regressions,"
Papers
2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
Cited by:
- Cheng, Tingting & Jiang, Shan & Zhao, Albert Bo & Jia, Zhimin, 2023. "Complete subset averaging methods in corporate bond return prediction," Finance Research Letters, Elsevier, vol. 54(C).
- Victoria Stack & Lana L. Narine, 2022. "Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
- Islam, M.S. & Das, Barun K. & Das, Pronob & Rahaman, Md Habibur, 2021. "Techno-economic optimization of a zero emission energy system for a coastal community in Newfoundland, Canada," Energy, Elsevier, vol. 220(C).
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018.
"On LASSO for Predictive Regression,"
Papers
1810.03140, arXiv.org, revised Feb 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
Cited by:
- Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
- Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
- Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020.
"Machine Learning Advances for Time Series Forecasting,"
Papers
2012.12802, arXiv.org, revised Apr 2021.
- Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2023. "Machine learning advances for time series forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 76-111, February.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2023.
"Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models,"
Monash Econometrics and Business Statistics Working Papers
2/23, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Yundong Tu & Bin Peng, 2023. "Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models," Papers 2301.06631, arXiv.org.
- Fan, Rui & Lee, Ji Hyung & Shin, Youngki, 2023.
"Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Rui Fan & Ji Hyung Lee & Youngki Shin, 2021. "Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach," Papers 2101.11568, arXiv.org, revised Dec 2022.
- Etienne Wijler, 2022. "A restricted eigenvalue condition for unit-root non-stationary data," Papers 2208.12990, arXiv.org.
- Zhou, Weilun & Gao, Jiti & Harris, David & Kew, Hsein, 2024. "Semi-parametric single-index predictive regression models with cointegrated regressors," Journal of Econometrics, Elsevier, vol. 238(1).
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Monash Econometrics and Business Statistics Working Papers 18/21, Monash University, Department of Econometrics and Business Statistics.
- Pitarakis, Jean-Yves, 2019. "Predictive Regressions," UC3M Working papers. Economics 28554, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Julien Hambuckers & Li Sun & Luca Trapin, 2023. "Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors," Papers 2301.01362, arXiv.org.
- Campeanu Emilia Mioara & Boitan Iustina Alina & Anghel Dan Gabriel, 2023. "Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approach," Management & Marketing, Sciendo, vol. 18(s1), pages 315-339, December.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Papers 2111.02023, arXiv.org.
- David Neto, 2023. "Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications," Empirical Economics, Springer, vol. 65(2), pages 949-971, August.
- Lee, JiHyung, 2015.
"Predictive quantile regression with persistent covariates: IVX-QR approach,"
MPRA Paper
65150, University Library of Munich, Germany.
- Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
Cited by:
- Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
- Yang, Bingduo & Long, Wei & Yang, Zihui, 2022. "Testing predictability of stock returns under possible bubbles," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 246-260.
- Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
- Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
- Christis Katsouris, 2023. "Quantile Time Series Regression Models Revisited," Papers 2308.06617, arXiv.org, revised Aug 2023.
- Sy, Oumar & Zaman, Ashraf Al, 2020. "Is the presidential premium spurious?," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 94-104.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022.
"Extensions to IVX Methods of Inference for Return Predictability,"
Essex Finance Centre Working Papers
29779, University of Essex, Essex Business School.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2021. "Extensions to IVX methods of inference for return predictability," Working Papers w202104, Banco de Portugal, Economics and Research Department.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Extensions to IVX methods of inference for return predictability," Journal of Econometrics, Elsevier, vol. 237(2).
- Christou Christina & Naraidoo Ruthira & Gupta Rangan, 2020.
"Conventional and unconventional monetary policy reaction to uncertainty in advanced economies: evidence from quantile regressions,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-17, June.
- Christina Christou & Ruthira Naraidoo & Rangan Gupta, 2018. "Conventional and Unconventional Monetary Policy Reaction to Uncertainty in Advanced Economies: Evidence from Quantile Regressions," Working Papers 201839, University of Pretoria, Department of Economics.
- Christou Christina & Naraidoo Ruthira & Gupta Rangan, 2020. "Conventional and unconventional monetary policy reaction to uncertainty in advanced economies: evidence from quantile regressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-17, June.
- Lee, Ji Hyung & Shin, Youngki, 2023.
"Complete Subset Averaging For Quantile Regressions,"
Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2023.
"Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models,"
Monash Econometrics and Business Statistics Working Papers
2/23, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Yundong Tu & Bin Peng, 2023. "Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models," Papers 2301.06631, arXiv.org.
- Demetrescu, Matei & Rodrigues, Paulo M.M., 2022.
"Residual-augmented IVX predictive regression,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2016. "Residual-augmented IVX predictive regression," Working Papers w201605, Banco de Portugal, Economics and Research Department.
- Fan, Rui & Lee, Ji Hyung & Shin, Youngki, 2023.
"Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Rui Fan & Ji Hyung Lee & Youngki Shin, 2021. "Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach," Papers 2101.11568, arXiv.org, revised Dec 2022.
- Phillips, Peter C.B. & Lee, Ji Hyung, 2016. "Robust econometric inference with mixed integrated and mildly explosive regressors," Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
- Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018.
"The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
- Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2017. "The Role of Economic Uncertainty in Forecasting Exchange Rate Returns and Realized Volatility: Evidence from Quantile Predictive Regressions," Working Papers 201774, University of Pretoria, Department of Economics.
- Yanbo Liu & Peter C.B. Phillips, 2021.
"Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions,"
Cowles Foundation Discussion Papers
2305, Cowles Foundation for Research in Economics, Yale University.
- Liu, Yanbo & Phillips, Peter C.B., 2023. "Robust inference with stochastic local unit root regressors in predictive regressions," Journal of Econometrics, Elsevier, vol. 235(2), pages 563-591.
- Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.
- Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
- Lee, Ji Hyung & Linton, Oliver & Whang, Yoon-Jae, 2020.
"Quantilograms Under Strong Dependence,"
Econometric Theory, Cambridge University Press, vol. 36(3), pages 457-487, June.
- Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018. "Quantilograms under Strong Dependence," Working Paper Series no111, Institute of Economic Research, Seoul National University.
- Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
- Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2017.
"Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach,"
Working Papers
201738, University of Pretoria, Department of Economics.
- Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2018. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(15), pages 3552-3565, December.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Monash Econometrics and Business Statistics Working Papers 18/21, Monash University, Department of Econometrics and Business Statistics.
- Jin Seo Cho & Tae-Hwan Kim & Yongcheol Shin, 2014.
"Quantile Cointegration in the Autoregressive Distributed-Lag Modelling Framework,"
Working papers
2014rwp-69, Yonsei University, Yonsei Economics Research Institute.
- Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
- Yan, Cheng & Wang, Xichen, 2018. "The non-persistent relationship between foreign equity flows and emerging stock market returns across quantiles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 38-54.
- Christis Katsouris, 2023. "Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates," Papers 2302.05193, arXiv.org.
- Xu, Ke-Li, 2021. "On the serial correlation in multi-horizon predictive quantile regression," Economics Letters, Elsevier, vol. 200(C).
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Gungor, Sermin & Luger, Richard, 2020. "Small-sample tests for stock return predictability with possibly non-stationary regressors and GARCH-type effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 750-770.
- Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023.
"Transformed regression-based long-horizon predictability tests,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Transformed Regression-based Long-Horizon Predictability Tests," Essex Finance Centre Working Papers 30620, University of Essex, Essex Business School.
- Dooyeon Cho & Seunghwa Rho, 2024. "Reassessing growth vulnerability," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 225-234, January.
- Zongwu Cai & Seong Yeon Chang, 2018. "A New Test In A Predictive Regression with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201811, University of Kansas, Department of Economics, revised Dec 2018.
- Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
- Julien Hambuckers & Li Sun & Luca Trapin, 2023. "Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors," Papers 2301.01362, arXiv.org.
- Cho, Dooyeon, 2021. "On the predictability of the distribution of excess returns in currency markets," International Journal of Forecasting, Elsevier, vol. 37(2), pages 511-530.
- Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "On LASSO Inference for High Dimensional Predictive Regression," Papers 2409.10030, arXiv.org.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Papers 2111.02023, arXiv.org.
- Peter C. B. Phillips, 2015. "Halbert White Jr. Memorial JFEC Lecture: Pitfalls and Possibilities in Predictive Regression†," Journal of Financial Econometrics, Oxford University Press, vol. 13(3), pages 521-555.
- Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.
- Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.
- Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
Articles
- Lee, Ji Hyung & Park, Byoung G., 2023.
"Nonparametric identification and estimation of the extended Roy model,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1087-1113.
Cited by:
- Henry, Marc & Méango, Romuald & Mourifié, Ismaël, 2024. "Role models and revealed gender-specific costs of STEM in an extended Roy model of major choice," Journal of Econometrics, Elsevier, vol. 238(2).
- Lee, Ji Hyung & Shin, Youngki, 2023.
"Complete Subset Averaging For Quantile Regressions,"
Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
See citations under working paper version above.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
See citations under working paper version above.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Fan, Rui & Lee, Ji Hyung, 2019.
"Predictive quantile regressions under persistence and conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
Cited by:
- Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
- Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
- Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
- Christis Katsouris, 2023. "Quantile Time Series Regression Models Revisited," Papers 2308.06617, arXiv.org, revised Aug 2023.
- Tu, Yundong & Xie, Xinling, 2023. "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, vol. 237(1).
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022.
"Extensions to IVX Methods of Inference for Return Predictability,"
Essex Finance Centre Working Papers
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Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
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NBER Working Papers
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Journal of Econometrics, Elsevier, vol. 237(2).
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"Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions,"
Cowles Foundation Discussion Papers
2305, Cowles Foundation for Research in Economics, Yale University.
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- Aman Ullah & Yong Bao & Ru Zhang, 2014. "Moment Approximation for Unit Root Models with Nonnormal Errors," Working Papers 201401, University of California at Riverside, Department of Economics.
- Kaveh Salehzadeh Nobari, 2021. "Pair copula constructions of point-optimal sign-based tests for predictive linear and nonlinear regressions," Papers 2111.04919, arXiv.org.
- Fan, Rui & Lee, Ji Hyung & Shin, Youngki, 2023.
"Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Rui Fan & Ji Hyung Lee & Youngki Shin, 2021. "Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach," Papers 2101.11568, arXiv.org, revised Dec 2022.
- Erik Hjalmarsson & Tamas Kiss, 2022. "Long‐run predictability tests are even worse than you thought," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1334-1355, November.
- Phillips, Peter C.B. & Lee, Ji Hyung, 2016. "Robust econometric inference with mixed integrated and mildly explosive regressors," Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
- Yanbo Liu & Peter C.B. Phillips, 2021.
"Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions,"
Cowles Foundation Discussion Papers
2305, Cowles Foundation for Research in Economics, Yale University.
- Liu, Yanbo & Phillips, Peter C.B., 2023. "Robust inference with stochastic local unit root regressors in predictive regressions," Journal of Econometrics, Elsevier, vol. 235(2), pages 563-591.
- José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
- Narayan, Seema & Smyth, Russell, 2015.
"The financial econometrics of price discovery and predictability,"
International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
- Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
- Andreou, Elena & Kasparis, Ioannis & Phillips, Peter C. B., 2013.
"Nonparametric Predictive Regression,"
CEPR Discussion Papers
9570, C.E.P.R. Discussion Papers.
- Ioannis Kasparis & Elena Andreou & Peter C.B. Phillips, 2012. "Nonparametric Predictive Regression," Cowles Foundation Discussion Papers 1878, Cowles Foundation for Research in Economics, Yale University.
- Ioannis Kasparis & Elena Andreou & Peter C. B. Phillips, 2012. "Nonparametric Predictive Regression," University of Cyprus Working Papers in Economics 14-2012, University of Cyprus Department of Economics.
- Kasparis, Ioannis & Andreou, Elena & Phillips, Peter C.B., 2015. "Nonparametric predictive regression," Journal of Econometrics, Elsevier, vol. 185(2), pages 468-494.
- Christis Katsouris, 2023. "Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates," Papers 2302.05193, arXiv.org.
- Yijie Fei & Yiu Lim Lui & Jun Yu, 2024. "Testing Predictability in the Presence of Persistent Errors," Working Papers 202401, University of Macau, Faculty of Business Administration.
- Haiqiang Chen, "undated".
"Robust Estimation and Inference for Threshold Models with Integrated Regressors,"
Working Papers
2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Chen, Haiqiang, 2015. "Robust Estimation And Inference For Threshold Models With Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 31(4), pages 778-810, August.
- Chen, Haiqiang, 2013. "Robust estimation and inference for threshold models with integrated regressors," SFB 649 Discussion Papers 2013-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Haiqiang Chen, 2013. "Robust Estimation and Inference for Threshold Models with Integrated Regressors," SFB 649 Discussion Papers SFB649DP2013-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023.
"Transformed regression-based long-horizon predictability tests,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Transformed Regression-based Long-Horizon Predictability Tests," Essex Finance Centre Working Papers 30620, University of Essex, Essex Business School.
- Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2019.
"Testing for Episodic Predictability in Stock Returns,"
Working Papers
w201906, Banco de Portugal, Economics and Research Department.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2022. "Testing for episodic predictability in stock returns," Journal of Econometrics, Elsevier, vol. 227(1), pages 85-113.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2019. "Testing for Episodic Predictability in Stock Returns," Essex Finance Centre Working Papers 24137, University of Essex, Essex Business School.
- Jiti Gao & Bin Peng & Yayi Yan, 2021. "Parameter Stability Testing for Multivariate Dynamic Time-Varying Models," Monash Econometrics and Business Statistics Working Papers 11/21, Monash University, Department of Econometrics and Business Statistics.
- Zongwu Cai & Seong Yeon Chang, 2018. "A New Test In A Predictive Regression with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201811, University of Kansas, Department of Economics, revised Dec 2018.
- Mikihito Nishi, 2023. "Testing for Coefficient Randomness in Local-to-Unity Autoregressions," Papers 2301.04853, arXiv.org, revised Jan 2023.
- Jeong, Minsoo, 2022. "Modelling persistent stationary processes in continuous time," Economic Modelling, Elsevier, vol. 109(C).
- Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
- Liu, Guannan & Yao, Shuang, 2020. "A robust test for predictability with unknown persistence," Economics Letters, Elsevier, vol. 189(C).
- Chevillon, Guillaume, 2017. "Robustness of Multistep Forecasts and Predictive Regressions at Intermediate and Long Horizons," ESSEC Working Papers WP1710, ESSEC Research Center, ESSEC Business School.
- Cai, Zongwu & Juhl, Ted & Yang, Bingduo, 2015. "Functional index coefficient models with variable selection," Journal of Econometrics, Elsevier, vol. 189(2), pages 272-284.
- Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
- Julien Hambuckers & Li Sun & Luca Trapin, 2023. "Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors," Papers 2301.01362, arXiv.org.
- Cho, Dooyeon, 2021. "On the predictability of the distribution of excess returns in currency markets," International Journal of Forecasting, Elsevier, vol. 37(2), pages 511-530.
- J. Roderick McCrorie, 2021. "Moments in Pearson's Four-Step Uniform Random Walk Problem and Other Applications of Very Well-Poised Generalized Hypergeometric Series," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 244-281, November.
- Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "On LASSO Inference for High Dimensional Predictive Regression," Papers 2409.10030, arXiv.org.
- Christis Katsouris, 2023. "Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models," Papers 2307.14463, arXiv.org.
- Liu, Xiaohui & Yang, Bingduo & Cai, Zongwu & Peng, Liang, 2019. "A unified test for predictability of asset returns regardless of properties of predicting variables," Journal of Econometrics, Elsevier, vol. 208(1), pages 141-159.
- Dong, Chaohua & Linton, Oliver & Peng, Bin, 2021. "A weighted sieve estimator for nonparametric time series models with nonstationary variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 909-932.
- Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.
- Demetrescu, Matei, 2014. "Enhancing the local power of IVX-based tests in predictive regressions," Economics Letters, Elsevier, vol. 124(2), pages 269-273.
- Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.
- Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
- Yayi Yan & Jiti Gao & Bin Peng, 2021. "Asymptotics for Time-Varying Vector MA(∞) Processes," Monash Econometrics and Business Statistics Working Papers 22/21, Monash University, Department of Econometrics and Business Statistics.
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (6) 2012-01-18 2015-06-27 2018-11-05 2020-03-16 2021-02-22 2022-05-16. Author is listed
- NEP-ETS: Econometric Time Series (3) 2012-01-18 2018-11-05 2021-02-22
- NEP-ORE: Operations Research (3) 2019-11-25 2020-03-16 2021-02-22
- NEP-PUB: Public Finance (2) 2021-05-31 2022-08-08
- NEP-FDG: Financial Development and Growth (1) 2022-08-08
- NEP-FOR: Forecasting (1) 2015-06-27
- NEP-PBE: Public Economics (1) 2021-05-31
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