Works by Liu, Siyi (exact spelling)

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  1.  15
    Adversity Tries Friends: A Multilevel Analysis of Corporate Philanthropic Response to the Local Spread of COVID-19 in China.Hanwen Chen, Siyi Liu, Xin Liu & Daoguang Yang - 2022 - Journal of Business Ethics 177 (3):585-612.
    We examine corporate philanthropic decisions in response to the local spread of COVID-19. From a strategic perspective, firms may proactively undertake philanthropic efforts to limit the spread of the pandemic and avoid a degraded business environment. From the perspective of non-trivial costs, increased economic uncertainty can raise concerns about business survival and lead to conservative philanthropic strategies. Following the proverb “prosperity makes friends, adversity tries them,” at the provincial level, our results support the second perspective. Specifically, when the spread of (...)
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  2.  12
    Contaminated Heart: Does Air Pollution Harm Business Ethics? Evidence from Earnings Manipulation.Charles H. Cho, Zhongwei Huang, Siyi Liu & Daoguang Yang - 2021 - Journal of Business Ethics 177 (1):151-172.
    We investigate whether air pollution harms business ethics from the perspective of earnings manipulation, which exerts a real effect on the economy and social welfare. Using a large sample and a comprehensive air quality index in China, we find that firms located in cities with more severe air pollution exhibit higher levels of discretionary accruals and are more likely to restate their financial statements, consistent with exposure to air pollution leading to more earnings manipulation. We further provide causal evidence using (...)
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  3.  9
    Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China’s Spots and Options’ Markets.Zhaohua Liu, Susheng Wang, Siyi Liu, Haixu Yu & He Wang - 2022 - Complexity 2022:1-14.
    This study investigates the volatility risk premium on the emerging financial market. We also consider the expected return and ESG sentiment. Based on the SSE 50 ETF 5-minute high-frequency spots and daily options data from 2016 to 2021, we adopt nonparametric model-free approaches to calculate realized and implied volatilities. And the volatility risk premium is constructed by subtracting these volatility series. We examine the relations between the volatility risk premium and future excess returns as well as ESG sentiment through multifactor (...)
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