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Erschienen in: Review of Accounting Studies 4/2014

01.12.2014

Conservatism correction for the market-to-book ratio and Tobin’s q

verfasst von: Maureen McNichols, Madhav V. Rajan, Stefan Reichelstein

Erschienen in: Review of Accounting Studies | Ausgabe 4/2014

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Abstract

We decompose the market-to-book ratio into two additive components: a conservatism correction factor and a future-to-book ratio. The conservatism correction factor exceeds the benchmark value of one whenever the accounting for past transactions has been subject to an (unconditional) conservatism bias. The observed history of a firm’s past investments allows us to calculate the magnitude of its conservatism correction factor, resulting in an average value that is about two-thirds of the overall market-to-book ratio. We demonstrate that our measure of Tobin’s q, obtained as the market-to-book ratio divided by the conservatism correction factor, has greater explanatory power in predicting future investments than the market-to-book ratio by itself. Our model analysis derives a number of structural properties of the conservatism correction factor, including its sensitivity to growth in past investments, the percentage of investments in intangibles, and the firm’s cost of capital. We provide empirical support for these hypothesized structural properties.

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Fußnoten
1
Without attempting to summarize the extensive literature on accounting conservatism, we note that parts of the theoretical literature on unconditional conservatism take a market-to-book ratio greater than one as a manifestation of conservative accounting; see, for example, Feltham and Ohlson (1995, 1996), Zhang (2000), and Ohlson and Gao (2006).
 
2
This calibration is consistent with Ross et al. (2005, p. 41) who state: “Firms with high q ratios tend to be those firms with attractive investment opportunities, or a significant competitive advantage.” See also Lindenberg and Ross (1981), Landsman and Shapiro (1995) and Roll and Weston (2008).
 
3
Our model framework builds on the notion that firms undertake a sequence of overlapping investments in productive capacity. That feature is also central to the models in Arrow (1964), Rogerson (2008), Rajan and Reichelstein (2009), and Nezlobin (2012).
 
4
For the market-to-book ratio, the predicted impact is ambiguous since both the numerator and the denominator of this ratio are increasing in higher past growth.
 
5
This approach is broadly consistent with the valuation model formulated in Nezlobin (2012), where the capitalization of current economic profits reflects both the discount rate and the rate of growth in the firm’s sales revenues.
 
6
We note that our present model formulation is not suited to address issues of conditional conservatism, as considered, for instance, in Basu (1997) and Watts (2003).
 
7
The addition of accounting information is, of course, the general motivation for studies like those in Piotroski (2000), Mohanram (2005), and Penman and Reggiani (2013). By including firm-specific scores derived from financial statement analysis, these authors are able to refine the association between market-to-book ratios and stock returns by partitioning firms with similar market-to-book ratios into different subgroups.
 
8
In connection with solar power panels, it is commonly assumed that electricity yield is subject to “systems degradation,” which is modeled as a pattern of geometrically declining capacity levels (Campbell 2008).
 
9
Conceptually, it would not be difficult to extend our model formulation so as to include uncertainty and investors’ expectations. Such an extension would, however, not serve any particular purpose for either our theoretical or our empirical analysis.
 
10
Without reference to a hypothetical rental market, Arrow (1964) and Rogerson (2008) derive the same unit cost of capacity in an infinite horizon setting with new investments in each period.
 
11
Our notion of replacement cost accounting differs from the concept of unbiased accounting in Feltham and Ohlson (1995, 1996), Zhang (2000), and Ohlson and Gao (2006). Their notion of unbiased accounting is that the market-to-book ratio approaches a value of 1 asymptotically. In the literature on ROI, the concept of unbiased accounting is operationalized by the criterion that for an individual project the accounting rate of return should be equal to the project’s internal rate of return; see, for instance, Beaver and Dukes (1974), Rajan et al. (2007), and Staehle and Lampenius (2010). To satisfy this criterion, the accruals must generally reflect the intrinsic profitability of the project. In the special case where all projects have zero NPV, this criterion does coincide with our notion of unbiased accounting. In contrast, our notion of replacement accounting is consistent with the accounting treatment recommended in the managerial performance evaluation literature; see, for instance, Rogerson (1997), Reichelstein (1997), and Dutta and Reichelstein (2005)
 
12
When assets are not in productive use during the first L periods, they become more valuable over time. Therefore the depreciation charges in the first L − 1 periods are negative with \(d^{*}_{t} = - r \cdot (1+r)^{t-1}\) for 1 ≤ t ≤ L − 1. This is exactly the accounting treatment that Ehrbar (1998) recommends for so-called “strategic investments,” which are characterized by a long time lag between investments and subsequent cash inflows.
 
13
See also Proposition 2 in Staehle and Lampenius (2010).
 
14
The AICPA’s (2007, p. 399) Accounting Trends & Techniques survey of 600 Fortune 1,000 firms reports that 592 of the sample firms applied straight-line accounting in reporting the value of their operating assets.
 
15
It is readily verified that, if d o is uniformly more accelerated than d * = (0, d 1 * d 2 * , ..., d T * ), then so is d t o .
 
16
The condition on the x t ’s in the statement of Proposition 3 is sufficient but not necessary. This condition is also not very restrictive. For instance, it is satisfied by any \({\varvec{x}}\) vector that decreases over time in either a linear or geometric fashion. The one-hoss shay scenario, where all x t  = 1, is one particular admissible case.
 
17
Informally, this inequality follows from the following two observations. (1) On the interval [0, L − 1], it is clearly true that bv t *  > bv t o ; (2) on the interval [L,T − 1] it must also be true that bv t *  > bv t o , because bv T *  = bv T o  = 0 and bv t * is decreasing and concave on [LT], while bv t o is a linear function of time.
 
18
For general L > 1, it can be shown that at least half of the drop in CC T occurs in the range of negative growth rates, provided productivity conforms to the one-hoss shay scenario.
 
19
This finding can be extended to general values of β and L. The limit values are available from the authors upon request. We note that \( \lim_{\lambda \rightarrow -1} CC_T = \frac{bv^{*}_{T-1}}{bv^{o}_{T-1}}\) and \(\lim_{\lambda \rightarrow \infty} CC_T = \frac{bv^{*}_{1}}{bv^{o}_{1}}\). Here, bv t o bv t (d o ).
 
20
We shall from hereon use the more compact notation BV T o instead of BV T (I T d o ). Similarly, we use the shorter BV T * (or OA T * ) instead of BV T (I T d *) (or OA T (I T d *)).
 
21
This representation is, of course, consistent with the studies in Feltham and Ohlson (1995) and Penman et al. (2007), which presume that financial assets are carried at their fair market values on the balance sheet.
 
22
See, for example, the discussion by Erickson and Whited (2000), p. 1029.
 
23
Lindenberg and Ross did not test whether this improved their measure of q, and the SEC subsequently abandoned the requirement to disclose replacement cost of property and plant.
 
24
It goes without saying that our approach to forecasting future value is somewhat ad hoc. There appear to be many promising avenues for refining the approach taken here in future studies.
 
25
Our approach of incorporating income taxes avoids the issues of estimating the firm’s actual tax rate or taxes to be paid in future periods.
 
26
Our capitalization of current economic profit is broadly consistent with the valuation model developed in Nezlobin (2012). We use the average growth rate over the past three years as a proxy for anticipated future growth in the firm’s product markets.
 
27
Throughout our empirical analysis, we set the lag factor L equal to 1. It seems plausible that there are significant variations in L across industries, an aspect we do not pursue in this paper.
 
28
See, for instance, Fazzari et al. (1988, 2000), Kaplan and Zingales (1997), Erickson and Whited (2000), Baker et al. (2003), Rauh (2006), and McNichols and Stubben (2008).
 
29
It should be recalled at this stage that our framework allows for only a single category of operating assets and correspondingly growth in one dimension. Zhang (1998) considers the impact of differential growth rates for PPE and intangible assets.
 
30
A caveat to this interpretation is that measurement error in our estimate of \(\widehat{FB}_T\) is not highly correlated with past growth. To the extent such a correlation arises, it could induce a negative correlation between \(\widehat{CC}_T\) and past growth. We do not expect this effect to be driving our results as the correlation between \(\widehat{CC}_T\) and past growth is largely comparable to the correlation between CC T and past growth.
 
31
A proof of this assertion can be found in Claim 2 in the proof of Proposition 3 in Rajan and Reichelstein (2009).
 
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Metadaten
Titel
Conservatism correction for the market-to-book ratio and Tobin’s q
verfasst von
Maureen McNichols
Madhav V. Rajan
Stefan Reichelstein
Publikationsdatum
01.12.2014
Verlag
Springer US
Erschienen in
Review of Accounting Studies / Ausgabe 4/2014
Print ISSN: 1380-6653
Elektronische ISSN: 1573-7136
DOI
https://doi.org/10.1007/s11142-013-9275-2

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