Analyst-Peer Alumni Tie

34 Pages Posted: 7 Nov 2024

See all articles by Chun Liu

Chun Liu

University of Toronto; Tsinghua University - School of Economics and Management

Shunzhi Pang

Tsinghua University - School of Economics & Management

Date Written: November 05, 2024

Abstract

This paper studies the impact of peer alumni ties on analysts' professional performance. Using LinkedIn data, we find that analysts with larger peer alumni networks make more accurate forecasts, particularly among female and seasoned analysts. This effect differs from analyst-executive alumni ties and becomes more evident in contexts of higher analyst-firm information asymmetry. Furthermore, university anniversaries further amplify the benefits of alumni networks, while the COVID-19 pandemic diminished them, highlighting the importance of offline interactions. Additionally, investors place greater trust in stock recommendations issued by analysts with larger alumni networks, resulting in stronger market reactions. Our findings emphasize the critical role of information flow within analyst networks. 

Keywords: Peer Alumni Tie, Social Network, Analyst Performance, Information Flow, LinkedIn

JEL Classification: G10, G14, G24, G41, J24

Suggested Citation

Liu, Chun and Liu, Chun and Pang, Shunzhi, Analyst-Peer Alumni Tie (November 05, 2024). Available at SSRN: https://ssrn.com/abstract=5010875 or http://dx.doi.org/10.2139/ssrn.5010875

Chun Liu

University of Toronto ( email )

105 St George Street
Toronto, Ontario M5S 3G8
Canada

Tsinghua University - School of Economics and Management ( email )

Beijing, 100084
China

Shunzhi Pang (Contact Author)

Tsinghua University - School of Economics & Management ( email )

Beijing, 100084
China

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