We develop novel high-frequency indices that measure climate attention, covering a wide range of both developed and emerging economies. This is achieved by analyzing the text of over 23 million tweets published by leading national newspapers on Twitter during the period from 2014 to 2022. Our findings reveal that a country experiencing more severe climate news shocks tends to see both an inflow of capital and an appreciation of its currency. In addition, brown stocks in highly exposed countries experience large and persistent negative returns after a global climate news shock. These outcomes align with the predictions of a risk-sharing model in which investors price climate news shocks and trade consumption and investment goods in global markets

The impact of corporate environment, society, and governance (ESG) disclosure on the online market remains uncertain. To address this ambiguity, this study utilizes text analysis to thematically classify research samples to examine the positive influence of corporate ESG disclosure on stock liquidity from a reputational perspective. Interestingly, the reputational effect of ESG disclosure shows asymmetry within the online market, particularly in its highly information-sensitive environment. Notably, negative media reputation insignificantly diminishes the positive impact of ESG disclosure on stock liquidity. A series of robustness tests confirm the reliability of the sample screening method and findings.