Top Line and Bottom Line Forecasts: A Comparison of Internet Firms During and after the Bubble

Bagnoli, M and Kallapur, S and Watts, S G (2001) Top Line and Bottom Line Forecasts: A Comparison of Internet Firms During and after the Bubble. Working Paper. Social Science Research Network. (Unpublished)

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Analysts' forecasts of revenue and how they compare to reported revenues is now a standard part of financial analysis surrounding earnings releases for internet firms. In this paper, we examine the characteristics and relative information content of revenue and earnings news for such firms during and after the internet bubble. First Call analysts tend to be pessimistic in their forecasts of both revenues and earnings for internet firms. However, after the crash, the quality of revenue forecasts improves: the bias declines and they become significantly more accurate. This improvement is predominantly driven by forecasts made for firms reporting losses. For these firms, we find that stock prices respond to revenue, but not earnings, surprises both during and after the bubble. In contrast, for firms reporting profits, stock prices respond to earnings surprises both during and after the bubble but to revenue surprises only during the bubble - and then only weakly. Thus, analysts appear to have improved revenue forecasts for those firms for which top line surprises are most relevant to the market

Affiliation: Indian School of Business
ISB Creiators:
ISB Creators
Kallapur, S
Item Type: Monograph (Working Paper)
Uncontrolled Keywords: Analysts revenue forecasts, Earnings forecasts, Stock price reactions and internet bubble
Subjects: Business and Management
Depositing User: Veeramani R
Date Deposited: 07 Mar 2019 09:11
Last Modified: 07 Mar 2019 09:11
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