Posted: 23 Jul 2015
Date Written: July 21, 2015
We investigate whether and how the complexity of derivatives influences analysts’ earnings forecast properties. Using a difference-in-differences design, we find that, relative to a matched control sample of non-users, analysts’ earnings forecasts for new derivatives users are less accurate and more dispersed after derivatives initiation. These results do not appear to be driven by the economic complexity of derivatives, but rather the financial reporting of such economic complexity. Overall, despite their financial expertise, analysts routinely misjudge the earnings implications of firms’ derivatives activity. However, we find evidence that a series of derivatives accounting standards has helped analysts improve their forecasts over time.
Keywords: derivatives, economic complexity, reporting complexity, hedging, sell-side analysts, earnings forecasts
JEL Classification: G29, G32, M41
Suggested Citation: Suggested Citation
Chang, Hye Sun and Donohoe, Michael P. and Sougiannis, Theodore, Do Analysts Understand the Economic and Reporting Complexities of Derivatives? (July 21, 2015). Journal of Accounting & Economics (JAE), Forthcoming. Available at SSRN: https://ssrn.com/abstract=2634201