Game in another town: Geography of stock watchlists and firm valuation
Dayong Dong,
Danling Jiang,
Keke Wu and
Hongquan Zhu
Journal of Banking & Finance, 2024, vol. 163, issue C
Abstract:
Beyond a bias toward local stocks, investors prefer companies in certain cities over others. This study uses the geographic network of investor-followed stocks from stock watchlists to identify intercity investment preferences in China. We measure the city-pair connectivity by its likelihood of sharing an investor in common whose stock watchlist is highly concentrated in the firms of that city pair. We find that a higher connectivity-weighted aggregate stock demand-to-supply ratio across connected cities is associated with higher stock valuations, higher turnover, better liquidity, and lower cost of equity for firms in the focal city. The effects are robust to controls for geographic proximity and the broad investor base, are stronger among small firms, extend to stock return predictability, and imply excess intercity return comovement. Our results suggest that city connectivity revealed on the stock watchlist helps identify network factors in asset pricing.
Keywords: Intercity investment preferences; Stock watchlist; Latent city network; Local bias (search for similar items in EconPapers)
JEL-codes: G11 G12 G15 G40 G41 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbfina:v:163:y:2024:i:c:s0378426624000827
DOI: 10.1016/j.jbankfin.2024.107164
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