• Title/Summary/Keyword: Alexander Filter Rule

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LSTM-based Prediction Performance of COVID-19 Fear Index on Stock Prices: Untact Stocks versus Contact Stocks (LSTM 기반 COVID-19 공포지수의 주가 예측 성과: 언택트 주식과 콘택트 주식)

  • Kim, Sun Woong
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.329-338
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    • 2022
  • As the non-face-to-face economic situation developed due to the COVID-19 pandemic, untact stock groups appeared in the stock market. This study proposed the Korea COVID-19 fear index following the spread of infectious diseases in the COVID-19 pandemic situation and analyzed the influence on the untact stock and contact stock returns. The results of the empirical analysis are as follows. First, as a result of the Granger causality analysis using the Korea COVID-19 fear index, significant causality was found in the return of contact stocks such as Korean Air, Hana Tour, CJ CGV, and Paradise. Second, as a result of stock price prediction based on the LSTM model, Kakao, Korean Air, and Naver's prediction performance was high. Third, the investment performances of the Alexander filter entry rule using the predicted stock price were high in Naver futures and Kakao futures. This study can find a difference from previous studies in that it analyzed the influence of the spread of the COVID-19 pandemic on untact and contact stocks in the COVID-19 situation where the non-face-to-face economy is in full swing.