2023
DOI: 10.1016/j.resourpol.2023.104253
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Revealing stock liquidity determinants by means of explainable AI: The role of ESG before and during the COVID-19 pandemic

Tamara Teplova,
Tatiana Sokolova,
David Kissa
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Cited by 2 publications
(9 citation statements)
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“…In addition, Thomson Reuters Refinitiv provided yearly data on net-debt-to-EBITDA ratios, ROAs, interest coverage ratios, ROEs, operating margin ratios, the ratios of market capitalization to net asset value (Tobin's Q), the logs of market capitalization and revenue, and the levels of revenue growth (%, year to year). Many authors (e.g., Teplova et al 2023), who studied the relationships between ESG scores and different stock-specific risks, used similar sets of fundamental variables as control variables.…”
Section: Research Hypotheses and Variablesmentioning
confidence: 99%
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“…In addition, Thomson Reuters Refinitiv provided yearly data on net-debt-to-EBITDA ratios, ROAs, interest coverage ratios, ROEs, operating margin ratios, the ratios of market capitalization to net asset value (Tobin's Q), the logs of market capitalization and revenue, and the levels of revenue growth (%, year to year). Many authors (e.g., Teplova et al 2023), who studied the relationships between ESG scores and different stock-specific risks, used similar sets of fundamental variables as control variables.…”
Section: Research Hypotheses and Variablesmentioning
confidence: 99%
“…Based on empirical results, Teplova et al (2023) develop policy implications for countries with major environmental problems: "Improvement in ESG factors is beneficial in the long run and during the crisis periods because it can reduce company-specific risk and increase stock liquidity". Therefore, we put forward Hypothesis 2: H2: Indicators of ecological responsibility are negatively and statistically significantly associated with stock-specific measures of systematic and downside risks (beta and downside beta, respectively).…”
Section: Research Hypotheses and Variablesmentioning
confidence: 99%
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