Financial derivatives, analyst forecasts, and stock price synchronicity: Evidence from an emerging market

Kun Su, Miaomiao Zhang and Chengyun Liu

Journal of International Financial Markets, Institutions and Money, 2022, vol. 81, issue C

Abstract: Against the backdrop of the role of financial derivatives in the recent financial crisis, this paper aims to identify the effects of financial derivative usage on the amount of firm-specific information incorporated into stock prices, as measured by stock price synchronicity (SPS), using an emerging market from 2009 to 2019. We find strong evidence consistent with this information asymmetry view. Specifically, our results exhibit that financial derivative usage deters firm-specific information into stock prices, thus increasing SPS. Further analyses indicate that financial derivative usage indirectly affects SPS via analyst forecasts (i.e., analyst forecast accuracy, analyst forecast dispersion, analyst forecast optimism, and analyst following). In addition, our results imply that both the economic complexity and accounting complexity of financial derivatives affect SPS positively. The results are robust to a batch of robustness tests. The findings not only add to the literature on financial derivative usage and SPS but also have policymaking implications for the emerging market.

Keywords: Financial derivatives; Analyst forecasts; Stock price synchronicity; Information asymmetry; China (search for similar items in EconPapers)
JEL-codes: G14 G30 G31 G32 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:81:y:2022:i:c:s1042443122001433

DOI: 10.1016/j.intfin.2022.101671

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