@article{ART003305943},
author={Eun Hong Park and Yeong-In Lee and Ha Young Kim},
title={A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={2},
pages={87-96},
doi={10.9708/jksci.2026.31.02.087}
TY - JOUR
AU - Eun Hong Park
AU - Yeong-In Lee
AU - Ha Young Kim
TI - A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 2
PB - The Korean Society Of Computer And Information
SP - 87
EP - 96
SN - 1598-849X
AB - This study investigates the predictability of post-listing price surges and cross-exchange premiums on the Upbit market. This Study is to demonstrate the empirical validity of an integrated analytical framework that combines offshore market signals with online social signals. By integrating pre-listing Binance data with quantified social sentiment from online communities, we evaluated the ex-ante identification of market anomalies, specifically short-term surges and the formation of the "Kimchi Premium". Empirical results indicate that while the MLP model is superior for detecting price surges, a Logistic Regression model augmented with social factors is most effective for identifying compound events of surges and premiums simultaneously. These findings suggest that combining global price dynamics and investor sentiment, provides a robust basis for screening structural inefficiencies in segmented cryptocurrency markets.
KW - Machine Learning;Cryptocurrency;New Listing;Kimchi Premium;Social Sentiment
DO - 10.9708/jksci.2026.31.02.087
ER -
Eun Hong Park, Yeong-In Lee and Ha Young Kim. (2026). A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals. Journal of The Korea Society of Computer and Information, 31(2), 87-96.
Eun Hong Park, Yeong-In Lee and Ha Young Kim. 2026, "A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals", Journal of The Korea Society of Computer and Information, vol.31, no.2 pp.87-96. Available from: doi:10.9708/jksci.2026.31.02.087
Eun Hong Park, Yeong-In Lee, Ha Young Kim "A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals" Journal of The Korea Society of Computer and Information 31.2 pp.87-96 (2026) : 87.
Eun Hong Park, Yeong-In Lee, Ha Young Kim. A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals. 2026; 31(2), 87-96. Available from: doi:10.9708/jksci.2026.31.02.087
Eun Hong Park, Yeong-In Lee and Ha Young Kim. "A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals" Journal of The Korea Society of Computer and Information 31, no.2 (2026) : 87-96.doi: 10.9708/jksci.2026.31.02.087
Eun Hong Park; Yeong-In Lee; Ha Young Kim. A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals. Journal of The Korea Society of Computer and Information, 31(2), 87-96. doi: 10.9708/jksci.2026.31.02.087
Eun Hong Park; Yeong-In Lee; Ha Young Kim. A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals. Journal of The Korea Society of Computer and Information. 2026; 31(2) 87-96. doi: 10.9708/jksci.2026.31.02.087
Eun Hong Park, Yeong-In Lee, Ha Young Kim. A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals. 2026; 31(2), 87-96. Available from: doi:10.9708/jksci.2026.31.02.087
Eun Hong Park, Yeong-In Lee and Ha Young Kim. "A Machine Learning–Based Analysis of Short-Term Surges and Listing Premiums for Newly Listed Altcoins on Korean Exchanges Using Offshore Prices and Social Signals" Journal of The Korea Society of Computer and Information 31, no.2 (2026) : 87-96.doi: 10.9708/jksci.2026.31.02.087
