We hypothesize that when confronted with a loss, investors price earnings conditional on the expected probability of the firm's return to profitability. We show a parsimonious model of one year-ahead loss reversal is useful in predicting the firm's return to profitability. Using the estimated probabilities of loss reversal to define samples of persistent (low probability of reversal) and transitory (high probability of reversal) losses, we show the pricing of losses, as well as their characteristics, varies as a function of their expected probability of reversal. We document a more pronounced stock price response to a transitory loss consistent with investors assessing the likelihood of exercising the abandonment option to be smaller. We also find the market responds negatively to persistent losses, especially in the latter part of the sample period. We also show the results are consistent with investors pricing the components of losses differently depending on the type of loss: they value only the aggregate accruals component of persistent losses and only the aggregate cash flow component of transitory losses. Further analysis shows the result for persistent losses relates to the presence of an increasingly larger R&D component that investors price negatively as if rewarding firms that make larger R&D outlays with larger returns. One consequence of the presence of a growing R&D component implies persistent losses become a weaker indicator of the likelihood of exercising the abandonment option.
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Paper provided by Massachusetts Institute of Technology (MIT), Sloan School of Management in its series Working papers with number
562043.
Length: Date of creation: 09 Jul 2004 Date of revision: Handle: RePEc:mit:sloanp:5418
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
DeAngelo, Harry & DeAngelo, Linda & Skinner, Douglas J, 1992.
" Dividends and Losses,"
Journal of Finance,
American Finance Association, vol. 47(5), pages 1837-63, December.
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