Browsen in EconStor gesamt nach Autor:innen Kim, Jong-Min
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Erscheinungsjahr | Titel | Autor:innen |
2020 | Finding Nemo: Predicting movie performances by machine learning methods | Kim, Jong-Min; Xia, Leixin; Kim, Iksuk; Lee, Seungjoo; Lee, Keon-Hyung |
2020 | The changing dynamics of board independence: A copula based quantile regression approach | Kim, Jong-Min; Cho, Chan Ho; Jun, Chulhee; Kim, Won Yong |
2021 | Univariate and multivariate machine learning forecasting models on the price returns of cryptocurrencies | Miller, Dante; Kim, Jong-Min |
2021 | Movie title keywords: A text mining and exploratory factor analysis of popular movies in the United States and China | Xiao, Xingyao; Cheng, Yihong; Kim, Jong-Min |
2022 | Forecasting the price of the cryptocurrency using linear and nonlinear error correction model | Kim, Jong-Min; Cho, Chan Ho; Jun, Chulhee |