Information Risk and Fair Values: An Examination of Equity Betas

By Edward J. Riedl, George Serafeim. 2011

208 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/68c2bf27e1eb109cc85128370115d3caec6f966b

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Citations in the corpus

Conditional conservatism and the limits to earnings management (2020, methodology): “…firm-year observation, IQ equals the mean of the standardized values of five variables suggested by prior research (Lang and Lundholm 1993, 1996, Riedl and Serafeim 2011, LaFond and Watts 2008): (1) the number of analysts covering the firm during the year; (2) minus one times the consensus…”
Market pricing of banks’ fair value assets reported under SFAS 157 since the 2008 financial crisis (2015, unknown): “Our study contributes to the literature on the capital market consequences of fair value accounting (e.g., Kolev, 2009; Song et al., 2010; Riedl and Serafeim, 2011; Bowen and Khan, 2014).”
Guiding Through the Fog: Financial Statement Complexity and Voluntary Disclosure (2016, unknown): “…markets for identical assets or liabilities; level 2 inputs consist of observable sources other than quoted prices; and level 3 inputs consist of unobservable, firm-supplied sources. participants' ability to understand and price this information (e.g., Riedl and Serafeim, 2011; Campbell, 2015).”
The Impact of SEC Disclosure Monitoring on the Uncertainty of Fair Value Estimates (2016, background): “In contrast, Song et al. (2010) find that Level 1 and Level 2 assets are valued”
Recognition versus Disclosure of Fair Values (2015, background): “2011), and that information asymmetry and information risk are lower when fair value disclosures are more reliable (Muller and Riedl 2002; Riedl and Serafeim 2011).”
Financial Accounting in the Banking Industry: A Review of the Empirical Literature (2014, unknown): “On the other hand, whether the interpretation in Riedl and Serafeim (2011) of a higher association between level 3 assets and market betas as higher information risk is appropriate also depends on whether the noise component in level 3 asset measurement is driven by information asymmetry.”