Seunghwa Rho
Personal Details
First Name: | Seunghwa |
Middle Name: | |
Last Name: | Rho |
Suffix: | |
RePEc Short-ID: | prh24 |
[This author has chosen not to make the email address public] | |
http://seunghwarho.github.io | |
Affiliation
Institute for Quantitative Theory and Methods
Emory University
Atlanta, Georgia (United States)http://quantitative.emory.edu/
RePEc:edi:iqemous (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
Articles
- Rho, Seung-Hwa & Vogelsang, Timothy J., 2019. "Heteroskedasticity Autocorrelation Robust Inference In Time Series Regressions With Missing Data," Econometric Theory, Cambridge University Press, vol. 35(3), pages 601-629, June.
- Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and Heterogeneous Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 609-628, July.
- Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
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
- Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019.
"Long Memory, Realized Volatility and HAR Models,"
Working Papers
881, Queen Mary University of London, School of Economics and Finance.
Cited by:
- Harvey, A. & Palumbo, D., 2019.
"Score-Driven Models for Realized Volatility,"
Cambridge Working Papers in Economics
1950, Faculty of Economics, University of Cambridge.
- Harvey, Andrew & Palumbo, Dario, 2023. "Score-driven models for realized volatility," Journal of Econometrics, Elsevier, vol. 237(2).
- Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020.
"Economic Policy Uncertainty: Persistence and Cross-Country Linkages,"
CESifo Working Paper Series
8289, CESifo.
- Abakah, Emmanuel Joel Aikins & Caporale, Guglielmo Maria & Gil-Alana, Luis Alberiko, 2021. "Economic policy uncertainty: Persistence and cross-country linkages," Research in International Business and Finance, Elsevier, vol. 58(C).
- Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Jia Li & Peter C. B. Phillips & Shuping Shi & Jun Yu, 2022.
"Weak Identification of Long Memory with Implications for Inference,"
Cowles Foundation Discussion Papers
2334, Cowles Foundation for Research in Economics, Yale University.
- Li, Jia & Phillips, Peter C. B. & Shi, Shuping & Yu, Jun, 2022. "Weak Identification of Long Memory with Implications for Inference," Economics and Statistics Working Papers 8-2022, Singapore Management University, School of Economics.
- Dooyeon Cho & Seunghwa Rho, 2022. "On asymmetric volatility effects in currency markets," Empirical Economics, Springer, vol. 62(5), pages 2149-2177, May.
- 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.
- Papantonis Ioannis & Rompolis Leonidas S. & Tzavalis Elias & Agapitos Orestis, 2023. "Augmenting the Realized-GARCH: the role of signed-jumps, attenuation-biases and long-memory effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(2), pages 171-198, April.
- Harvey, A. & Palumbo, D., 2019.
"Score-Driven Models for Realized Volatility,"
Cambridge Working Papers in Economics
1950, Faculty of Economics, University of Cambridge.
Articles
- Rho, Seung-Hwa & Vogelsang, Timothy J., 2019.
"Heteroskedasticity Autocorrelation Robust Inference In Time Series Regressions With Missing Data,"
Econometric Theory, Cambridge University Press, vol. 35(3), pages 601-629, June.
Cited by:
- Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
- Ulrich K. Müller & Mark W. Watson, 2022. "Spatial Correlation Robust Inference," Econometrica, Econometric Society, vol. 90(6), pages 2901-2935, November.
- Kaicheng Chen & Timothy J. Vogelsang, 2023. "Fixed-b Asymptotics for Panel Models with Two-Way Clustering," Papers 2309.08707, arXiv.org, revised Aug 2024.
- Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019.
"Long Memory, Realized Volatility and Heterogeneous Autoregressive Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 609-628, July.
Cited by:
- Harvey, A. & Palumbo, D., 2019.
"Score-Driven Models for Realized Volatility,"
Cambridge Working Papers in Economics
1950, Faculty of Economics, University of Cambridge.
- Harvey, Andrew & Palumbo, Dario, 2023. "Score-driven models for realized volatility," Journal of Econometrics, Elsevier, vol. 237(2).
- Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020.
"Economic Policy Uncertainty: Persistence and Cross-Country Linkages,"
CESifo Working Paper Series
8289, CESifo.
- Abakah, Emmanuel Joel Aikins & Caporale, Guglielmo Maria & Gil-Alana, Luis Alberiko, 2021. "Economic policy uncertainty: Persistence and cross-country linkages," Research in International Business and Finance, Elsevier, vol. 58(C).
- Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Jia Li & Peter C. B. Phillips & Shuping Shi & Jun Yu, 2022.
"Weak Identification of Long Memory with Implications for Inference,"
Cowles Foundation Discussion Papers
2334, Cowles Foundation for Research in Economics, Yale University.
- Li, Jia & Phillips, Peter C. B. & Shi, Shuping & Yu, Jun, 2022. "Weak Identification of Long Memory with Implications for Inference," Economics and Statistics Working Papers 8-2022, Singapore Management University, School of Economics.
- Dooyeon Cho & Seunghwa Rho, 2022. "On asymmetric volatility effects in currency markets," Empirical Economics, Springer, vol. 62(5), pages 2149-2177, May.
- Nicholas Salmon & Indranil SenGupta, 2021. "Fractional Barndorff-Nielsen and Shephard model: applications in variance and volatility swaps, and hedging," Papers 2105.02325, 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.
- Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
- Papantonis Ioannis & Rompolis Leonidas S. & Tzavalis Elias & Agapitos Orestis, 2023. "Augmenting the Realized-GARCH: the role of signed-jumps, attenuation-biases and long-memory effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(2), pages 171-198, April.
- Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.
- Nicholas Salmon & Indranil SenGupta, 2021. "Fractional Barndorff-Nielsen and Shephard model: applications in variance and volatility swaps, and hedging," Annals of Finance, Springer, vol. 17(4), pages 529-558, December.
- Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.
- Shuping Shi & Jun Yu, 2023. "Volatility Puzzle: Long Memory or Antipersistency," Management Science, INFORMS, vol. 69(7), pages 3861-3883, July.
- Papantonis, Ioannis & Rompolis, Leonidas & Tzavalis, Elias, 2023. "Improving variance forecasts: The role of Realized Variance features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1221-1237.
- Constandina Koki & Loukia Meligkotsidou & Ioannis Vrontos, 2020. "Forecasting under model uncertainty: Non‐homogeneous hidden Markov models with Pòlya‐Gamma data augmentation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 580-598, July.
- Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.
- Baillie, Richard T. & Cho, Dooyeon & Rho, Seunghwa, 2024. "Combining Long and Short Memory in Time Series Models: the Role of Asymptotic Correlations of the MLEs," Econometrics and Statistics, Elsevier, vol. 29(C), pages 88-112.
- Harvey, A. & Palumbo, D., 2019.
"Score-Driven Models for Realized Volatility,"
Cambridge Working Papers in Economics
1950, Faculty of Economics, University of Cambridge.
- Seunghwa Rho & Peter Schmidt, 2015.
"Are all firms inefficient?,"
Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
Cited by:
- Centorrino, Samuele & Pérez-Urdiales, María, 2023.
"Maximum likelihood estimation of stochastic frontier models with endogeneity,"
Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
- Samuele Centorrino & Mar'ia P'erez-Urdiales, 2020. "Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity," Papers 2004.12369, arXiv.org, revised Mar 2021.
- Centorrino, Samuele & Perez Urdiales, Maria, 2021. "Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312072, Agricultural Economics Society - AES.
- Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
- Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022.
"Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador,"
Efficiency Series Papers
2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Samuele Centorrino & Maria P'erez-Urdiales & Boris Bravo-Ureta & Alan J. Wall, 2023. "Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador," Papers 2312.13939, arXiv.org.
- Centorrino, Samuele & Perez Urdiales, Maria & Bravo-Ureta, Boris & Wall, Alan, 2021. "Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312058, Agricultural Economics Society - AES.
- Samuele Centorrino & María Pérez‐Urdiales & Boris Bravo‐Ureta & Alan Wall, 2024. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 365-382, April.
- Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019.
"Model averaging estimators for the stochastic frontier model,"
Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
- Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2016. "Model Averaging Estimators for the Stochastic Frontier Model," Working Papers 2016-09, University of Miami, Department of Economics.
- Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
- Orea, Luis & Steinbuks, Jevgenijs, 2012.
"Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market,"
Efficiency Series Papers
2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Luis Orea & Jevgenijs Steinbuks, 2018. "Estimating Market Power In Homogenous Product Markets Using A Composed Error Model: Application To The California Electricity Market," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1296-1321, April.
- Orea, L. & Steinbuks, J., 2012. "Estimating market power in homogenous product markets using a composed error model: application to the California electricity market," Cambridge Working Papers in Economics 1220, Faculty of Economics, University of Cambridge.
- Luis Orea & Jevgenijs Steinbuks, 2012. "Estimating Market Power in Homogeneous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Working Papers EPRG 1210, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
- Luis Orea & Tooraj Jamasb, 2017.
"Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
- Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, , vol. 38(4), pages 101-127, July.
- Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
- Tran, Kien C. & Tsionas, Mike G., 2016. "Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1113-1123.
- Mark Andor & Christopher Parmeter, 2017.
"Pseudolikelihood estimation of the stochastic frontier model,"
Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
- Andor, Mark & Parmeter, Christopher, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Ruhr Economic Papers 693, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Alecos Papadopoulos & Christopher F. Parmeter, 2024. "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, vol. 61(2), pages 121-134, April.
- Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
- E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
- Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
- Marcos Gonçalves Perroni & Claudimar Pereira da Veiga & Zhaohui Su & Fernando Maciel Ramos & Wesley Vieira da Silva, 2023. "Dynamic Equilibrium of Sustainable Ecosystem Variables: An Experiment," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
- Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
- Papadopoulos, Alecos & Parmeter, Christopher F., 2023. "A specification test for the composed error term in the stochastic frontier model," Economics Letters, Elsevier, vol. 233(C).
- Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.
- Kien C. Tran & Mike G. Tsionas & Emmanuel Mamatzakis, 2020. "Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks," Empirical Economics, Springer, vol. 58(6), pages 2733-2760, June.
- Monje, Juan Cabas & Sidhoum, Amer Ait & Gil, Jose M., 2021. "Investigating Technical Efficiency of Spanish Pig Farming: A Quantile Regression Approach," 2021 Conference, August 17-31, 2021, Virtual 315196, International Association of Agricultural Economists.
- Cheol-Keun Cho & Peter Schmidt, 2020. "The wrong skew problem in stochastic frontier models when inefficiency depends on environmental variables," Empirical Economics, Springer, vol. 58(5), pages 2031-2047, May.
- Centorrino, Samuele & Pérez-Urdiales, María, 2023.
"Maximum likelihood estimation of stochastic frontier models with endogeneity,"
Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
More information
Research fields, statistics, top rankings, if available.Statistics
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Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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 (1) 2019-04-01. Author is listed
- NEP-ETS: Econometric Time Series (1) 2019-04-01. Author is listed
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