Measuring Investors' Opinion Divergence

By Jon A. Garfinkel. 2009

220 citations recorded by the source corpus.

Subfields: Accounting, Finance

View Paper: https://www.semanticscholar.org/paper/59a718e3ba430c313178d6b059b802b0091a89f6

Citations in the corpus

• Dissecting Characteristics Nonparametrically (2020, unknown): “Garfinkel, J. A. (2009). Measuring investors’ opinion divergence. Journal of Accounting Research 47 (5), 1317–1348. George, T. J. and C.-Y. Hwang (2004). The 52-week high and momentum investing. The Journal of Finance 59 (5), 2145–2176. Gibbons, M. R., S. A. Ross, and J. Shanken (1989). A test of th”
• Textual risk disclosures and investors’ risk perceptions (2013, unknown): “Morck et al. (2000) argue that increased firm-level return volatility indicates more detailed firm-specific information being incorporated into stock prices.11 Shalen (1993) and Garfinkel (2009) use daily stock return volatility to proxy for diverging investor opinions.”
• Trading Volume Around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research (2010, unknown): “…many researchers in economics and finance to conclude that investor disagreement plays a greater role in the capital markets than has previously been acknowledged (e.g., Hong and Stein 2007), and Garfinkel (2009, 1317) concludes that unexpected volume ―is the preferred proxy for opinion divergence.”
• Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures (2014, unknown): “Stock return volatility is a prominent proxy for diverging investor opinions in the finance literature (Shalen 1993, Garfinkel 2009). Following Kravet and Muslu (2011), we predict higher daily stock return volatility during the first two months after the filings of disclosures than the last two mont”