ArticleEntropy (Basel, Switzerland)2021
Detecting and Analyzing Politically-Themed Stocks Using Text Mining Techniques and Transfer Entropy-Focus on the Republic of Korea's Case.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- RF model and SNA analysis for optimization of regional financial supervision system.Scientific reports · 2025Article
- Method for predicting the price of carbon based on quadratic decomposition and multiscale prediction.Carbon balance and management · 2025Article
- Article
- Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings.Entropy (Basel, Switzerland) · 2024Article
- Improving data efficiency for analyzing global exchange rate fluctuations based on nonlinear causal network-based clustering.Annals of operations research · 2022Article
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Abstract
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 on the Republic of Korea's politically-themed stocks, derived mainly from politicians. To select politically-themed stocks, we calculated the daily politician sentiment index (PSI), which means politicians' daily reputation using politicians' search volume data and sentiment analysis results from politician-related text data. Additionally, we selected politically-themed stock candidates from politician-related search volume data. To measure causal relationships, we adopted entropy-based measures. We determined politically-themed stocks based on causal relationships from the rates of change of the PSI to their abnormal returns. To illustrate causal relationships between politically-themed stocks, we constructed politically-themed stock networks based on causal relationships using entropy-based approaches. Moreover, we experimented using politically-themed stocks in real-world situations from the schematized networks, focusing on politically-themed stock networks' dynamic changes. We verified that the investment strategy using the PSI and politically-themed stocks that we selected could benchmark the main stock market indices such as the KOSPI and KOSDAQ around political events.
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