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Are option traders more informed than Twitter users? A PVAR analysis

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  • Alex Frino
  • Caihong Xu
  • Z. Ivy Zhou

Abstract

Prior research has examined whether Twitter information predicts stock returns and volatility. We study the causality between Twitter information, stock‐realized volatility, and option‐implied volatility using a panel vector autoregressive model. Using panel data on S&P/ASX 200 stocks, we reveal a bidirectional causality between realized volatility and Twitter activity and divergence of opinion. We also find strong evidence of causality from implied idiosyncratic volatility to Twitter activity, sentiment, and divergence of opinion. Our results highlight the role of the options market in predicting Twitter information and monitoring social media flows to prevent the spread of fake news.

Suggested Citation

  • Alex Frino & Caihong Xu & Z. Ivy Zhou, 2022. "Are option traders more informed than Twitter users? A PVAR analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1755-1771, September.
    • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:9:p:1755-1771
    DOI: 10.1002/fut.22303
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    References listed on IDEAS

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    2. Zin Yau Heng & Henry Leung, 2023. "The role of option‐based information on StockTwits, options trading volume, and stock returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1091-1125, August.

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