Zobrazeno 1 - 10 of 188 pro vyhledávání: '"Woo-Chang Kim"'
1
Akademický článek
Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings
Autor: Insu Choi, Woo Chang Kim
Publikováno v: Entropy, Vol 26, Iss 1, p 70 (2024)
This study presents a novel approach to predicting price fluctuations for U.S. sector index ETFs. By leveraging information-theoretic measures like mutual information and transfer entropy, we constructed threshold networks highlighting nonlinear depe
Externí odkaz: https://doaj.org/article/59fa23f4efa946a1a0b87108a9afbf5c
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2
Akademický článek
Dietary Pattern Extraction Using Natural Language Processing Techniques
Autor: Insu Choi, Jihye Kim, Woo Chang Kim
Publikováno v: Frontiers in Nutrition, Vol 9 (2022)
In this study, we observed the changes in dietary patterns among Korean adults in the previous decade. We evaluated dietary intake using 24-h recall data from the fourth (2007–2009) and seventh (2016–2018) Korea National Health and Nutrition Exam
Externí odkaz: https://doaj.org/article/67ca62222c354161b790b4a57fa195a2
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3
Value function gradient learning for large-scale multistage stochastic programming problems
Autor: Jinkyu Lee, Sanghyeon Bae, Woo Chang Kim, Yongjae Lee
Publikováno v: European Journal of Operational Research. 308:321-335
A stagewise decomposition algorithm called value function gradient learning (VFGL) is proposed for large-scale multistage stochastic convex programs. VFGL finds the parameter values that best fit the gradient of the value function within a given para
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f275b32b7b33f497ce7879b37b60a706
https://doi.org/10.1016/j.ejor.2022.10.011
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4
Akademický článek
Optimal portfolio choice of couples with tax-deferred accounts and survival-contingent products.
Autor: SANGHYEON BAE, YONGJAE LEE, WOO CHANG KIM
Publikováno v: Quantitative Finance; Nov2023, Vol. 23 Issue 11, p1597-1615, 19p
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6
Akademický článek
Detecting and Analyzing Politically-Themed Stocks Using Text Mining Techniques and Transfer Entropy—Focus on the Republic of Korea’s Case
Autor: Insu Choi, Woo Chang Kim
Publikováno v: Entropy, Vol 23, Iss 6, p 734 (2021)
Politically-themed stocks mainly refer to stocks that benefit from the policies of politicians. This study gave the empirical analysis of the politically-themed stocks in the Republic of Korea and constructed politically-themed stock networks based o
Externí odkaz: https://doaj.org/article/b0edaf7bb80b45c3af3cc1170388ccc0
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