Formerly Graduate
School of Industrial Administration (GSIA) William Larimer Mellon, Founder Schenley Park Pittsburgh, Pennsylvania 15213-3890 United States of America |
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Pierre Jinghong Liang |
Accounting Measurement Basis, Market Mispricing, and Firm Investment Efficiency |
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Pierre Jinghong Liang
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Journal of Accounting Research
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Downloading the paper | ||||
2006-Feb Fourth Draft | ||||
Abstract | ||||
In this paper, we investigate how the accounting measurement basis affects the capital market pricing of a firm's shares, which, in turn, affects the efficiency of the firm's investment decisions. We distinguish two broad bases for accounting measurements: input-based and output-based accounting. We argue that the structural difference in the two measurement bases leads to a systematic difference in the efficiency of the investment decisions. In particular, we show that an output-based measure, such as a fair value measure, has a natural advantage in aligning investment incentives because of its comprehensiveness. The (first-) best investment is achieved when the output-based measure is noiseless and manipulation-free. However, in practice, output-based measures may be highly noisy and easy to manipulate, in which case the induced investment efficiency can be quite low. This is because under an output-based measure, investment inefficiency and accounting noise/manipulability are always complements: more accounting noise/manipulation leads to more inefficient investment choices. On the other hand, an input-based measure, such as a historical cost measure, may induce more efficient investment decisions than an output-based measure even though it is not as comprehensive. The reason is two-fold. First, input-based measures are typically associated with less noise and limited manipulation. Second and more importantly, we show that under an input-based measure, investment inefficiency and accounting noise/manipulability may be substitutes: a slight increase in accounting noise/manipulation may lead to more efficient investment choices. In fact, the (first-) best result is achieved when the noise/manipulability is small but positive. In other words, for an input-based measure, being less comprehensive makes small but positive accounting noise/manipulability desirable. | ||||
English Version Last updated May 2, 2005 send comments to liangj@andrew.cmu.edu |
Chinese Version Last updated January 6, 2004 send comments to liangj@andrew.cmu.edu |