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Do differing tones in Chinese and English public discourse influence the A–H premium amid the U.S.–China trade friction

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DataCite Commons2026-01-16 更新2026-05-05 收录
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https://www.scidb.cn/detail?dataSetId=f9533e56acab4f388965afa932076477
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This dataset covers the daily A–H share premium for 85 firms that are dual-listed in Mainland China (A shares) and Hong Kong (H shares) from 2 January 2025 to 30 May 2025, together with a Chinese–English media/public-discourse tone-gap measure (Tone_gap) constructed from the GDELT Global Database. The dataset is organized as a firm-by-date daily panel with 149 calendar days and 85 firms (12,665 observations). To align stock-market variables with the daily tone series, a balanced calendar panel is created for each firm and missing premiums on non-trading days (or suspensions) are filled by linear interpolation; is_trading_day flags original trading-day observations. The dataset also includes macro/market controls—exchange-rate futures volatility (future_vol_filled), an A–H return-gap control (ret_ah_filled), and the IPO-count gap between the A-share and H-share markets (ipo_gap)—as well as firm classifications (WIND sector: sector; GICS sector: gics). Recommended use: winsorize continuous variables at the 1st/99th percentiles and standardize prior to estimation, then estimate panel models with firm fixed effects.
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Science Data Bank
创建时间:
2026-01-16
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