4
H index
3
i10 index
159
Citations
Kookmin University | 4 H index 3 i10 index 159 Citations RESEARCH PRODUCTION: 9 Articles 11 Papers RESEARCH ACTIVITY: 12 years (2011 - 2023). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pki382 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Hyun Hak Kim. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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Empirical Economics | 3 |
Working Papers Series with more than one paper published | # docs |
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Working Papers / Economic Research Institute, Bank of Korea | 5 |
Auburn Economics Working Paper Series / Department of Economics, Auburn University | 3 |
Year | Title of citing document |
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2023 | Forecasting Net Charge-Off Rates of Large U.S. Bank Holding Companies using Macroeconomic Latent Factors. (2023). Son, Jisoo ; Kim, Hyeongwoo. In: Auburn Economics Working Paper Series. RePEc:abn:wpaper:auwp2023-02. Full description at Econpapers || Download paper |
2023 | Panel Data Nowcasting: The Case of Price-Earnings Ratios. (2023). Striaukas, Jonas ; Ghysels, Eric ; Ball, Ryan T ; Babii, Andrii. In: Papers. RePEc:arx:papers:2307.02673. Full description at Econpapers || Download paper |
2023 | Forecasting Bilateral Refugee Flows with High-dimensional Data and Machine Learning Techniques. (2023). Zheng, Conghan ; Krueger, Finja ; Heidland, Tobias ; Groeger, Andre ; Boss, Konstantin. In: Working Papers. RePEc:bge:wpaper:1387. Full description at Econpapers || Download paper |
2023 | Forecasting the Return of Carbon Price in the Chinese Market Based on an Improved Stacking Ensemble Algorithm. (2023). Siddik, Abu Bakkar ; Li, Yong ; Ye, Peng. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:11:p:4520-:d:1163782. Full description at Econpapers || Download paper |
2023 | Analysis of Systemic Risk Scenarios and Stabilization Effect of Monetary Policy under the COVID-19 Shock and Pharmaceutical Economic Recession. (2023). Li, NA ; Zheng, Yingrong ; Dong, Hao. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:1:p:880-:d:1024166. Full description at Econpapers || Download paper |
2023 | Forecasting GDP with many predictors in a small open economy: forecast or information pooling?. (2023). Han, Daniel ; Fei, Yijie ; Chow, Hwee Kwan. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-022-02356-9. Full description at Econpapers || Download paper |
2023 | The D-model for GDP nowcasting. (2023). Degiannakis, Stavros. In: Swiss Journal of Economics and Statistics. RePEc:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00109-8. Full description at Econpapers || Download paper |
2023 | Identifying and interpreting the factors in factor models via sparsity: Different approaches. (2023). Doz, Catherine ; Despois, Thomas. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:4:p:533-555. Full description at Econpapers || Download paper |
2023 | Estimation of short?run predictive factor for US growth using state employment data. (2023). Basistha, Arabinda. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:1:p:34-50. Full description at Econpapers || Download paper |
2023 | Nowcasting the state of the Italian economy: The role of financial markets. (2023). Silvestrini, Andrea ; Ceci, Donato. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1569-1593. Full description at Econpapers || Download paper |
2023 | Yield spread selection in predicting recession probabilities. (2023). Ge, Desheng ; Choi, Jae Hyuk ; Sohn, Sungbin. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1772-1785. Full description at Econpapers || Download paper |
2023 | Price discovery in Chinas crude oil futures markets: An emerging Asian benchmark?. (2023). Webb, Robert I ; Yang, Jian ; Yu, Ziliang. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:43:y:2023:i:3:p:297-324. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2016 | Forecasting Financial Stress Indices in Korea: A Factor Model Approach In: Auburn Economics Working Paper Series. [Full Text][Citation analysis] | paper | 16 |
2018 | Forecasting Financial Stress Indices in Korea: A Factor Model Approach.(2018) In: Auburn Economics Working Paper Series. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 16 | paper | |
2019 | Forecasting Financial Stress Indices in Korea: A Factor Model Approach.(2019) In: Auburn Economics Working Paper Series. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 16 | paper | |
2015 | Forecasting Financial Stress Indices in Korea: A Factor Model Approach.(2015) In: Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 16 | paper | |
2018 | Forecasting Financial Stress Indices in Korea: A Factor Model Approach.(2018) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 16 | paper | |
2020 | Forecasting financial stress indices in Korea: a factor model approach.(2020) In: Empirical Economics. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 16 | article | |
2015 | Forecasting CPI Inflation Using Combination of Point Forecast and Density Forecast (in Korean) In: Economic Analysis (Quarterly). [Full Text][Citation analysis] | article | 0 |
2015 | Forecasting CPI Inflation Using Combination of Point Forecast and Density Forecast (in Korean).(2015) In: Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 0 | paper | |
2013 | Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2014 | Hysteresis in Korean Labor Market with Alternative Measures of Labor Utilization (in Korean) In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2019 | Systemic Risk of the Consumer Credit Network across Financial Institutions In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2014 | Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence In: Journal of Econometrics. [Full Text][Citation analysis] | article | 85 |
2011 | Forecasting Financial and Macroeconomic Variables Using Data Reduction Methods: New Empirical Evidence.(2011) In: Departmental Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 85 | paper | |
2018 | Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 52 |
2013 | Mining Big Data Using Parsimonious Factor and Shrinkage Methods In: Departmental Working Papers. [Full Text][Citation analysis] | paper | 1 |
2022 | A dynamic analysis of household debt using a self-organizing map In: Empirical Economics. [Full Text][Citation analysis] | article | 0 |
2023 | Mixing mixed frequency and diffusion indices in good times and in bad: an assessment based on historical data around the great recession of 2008 In: Empirical Economics. [Full Text][Citation analysis] | article | 0 |
2018 | Looking into the black box of the Korean economy: the sparse factor model approach1 In: Journal of the Asia Pacific Economy. [Full Text][Citation analysis] | article | 0 |
2020 | Default Probability by Employment Status in South Korea* In: Asian Economic Papers. [Full Text][Citation analysis] | article | 0 |
2018 | Methods for backcasting, nowcasting and forecasting using factor†MIDAS: With an application to Korean GDP In: Journal of Forecasting. [Full Text][Citation analysis] | article | 5 |
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