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Let a process SI , ... ,ST obey the conditionally heteroskedastic equation St = Vt Et whcrc Et is a random noise and Vt is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an additional noise nt. We consider the situation which the...
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We study how earnings attributes affect investors expectations about future earnings reflected in market prices. We separate the current earnings contribution to the formation of future earnings expectations through a fictitious valuation incorporating expectations informed only by current...
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