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Erschienen in: Review of Accounting Studies 4/2020

18.06.2020

Negative accounting earnings and gross domestic product

verfasst von: Fabio B. Gaertner, Asad Kausar, Logan B. Steele

Erschienen in: Review of Accounting Studies | Ausgabe 4/2020

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Abstract

Konchitchki and Patatoukas Journal of Accounting and Economics 57 (1-2), 76–88, (2014a) show that aggregate accounting earnings growth predicts future nominal gross domestic product (GDP) growth and that professional macro forecasters do not fully incorporate the information contained in aggregate accounting earnings. Based on results from prior literature, which find that accounting earnings reflect bad economic news in a timelier manner than good news, we condition Konchitchki and Patatoukas’s GDP growth forecast model on the sign of earnings changes. We show that negative changes in aggregate earnings predict future GDP growth while positive changes in earnings do not. Furthermore, we show that professional macro forecasters underreact to the information contained in negative changes in aggregate earnings about future GDP growth. Additional tests suggest our findings are a result of conservative accruals in earnings.

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Fußnoten
1
See Fischer and Merton (1984) and Konchitchki and Patatoukas (2014a).
 
2
GDP is also used internationally by governments, international investors, and various other bodies, such as Organisation of Economic Co-operation and Development,, the International Monetary Fund, and the World Bank.
 
3
Abdalla and Carabias (2017) employ the level of aggregate special items, whereas we employ the change in aggregate special items in our test. Further, they do not control for common leading indicators of economic growth or test whether the association between aggregate special items and GDP growth forecast error is conditional on the sign of aggregate special item changes.
 
4
The QFR is a survey of public and private corporations conducted quarterly by the Census Bureau and covers mining; manufacturing; wholesale trade; retail trade; information; and professional, scientific, and technical services. Aggregated shareholder reports sourced from Compustat drive the indicators for the following industries: construction; administrative and waste management services; educational services; health care and social assistance; arts, entertainment, and recreation; and other services.
 
5
See Basu (1997); Kwon et al. (2001); Watts (2003a, 2003b); Ball and Shivakumar (2005); Kwon (2005); Lafond and Watts (2008); Roychowdhury and Watts (2007); Zhang (2008); Nikolaev (2010); Lawrence et al. (2013); Tan (2013); and Ahmed and Duellman (2013); among others.
 
6
The notion that systematic news affects firms at the individual level is accepted in the finance literature and underpins the capital asset pricing model (Sharpe 1964; Lintner 1965; Fama and French 2004). The accounting literature links systematic news to firm-level accounting earnings. For instance, Beaver et al. (1970) develop a measure of accounting beta (i.e., the correlation between firm-level accounting earnings and market-level accounting earnings) and show that this measure is relevant to market-determined measures of firm risk. Konchitchki and Patatoukas’s finding that aggregate accounting earnings are helpful in forecasting future GDP growth implies that firm-level earnings change in a systematic way as a function of macroeconomic news (i.e., firm-level earnings changes are not entirely idiosyncratic).
 
7
For instance, the value of a factory must be written down, regardless of whether its fair value drops below book value, because of lower aggregate demand (i.e., systematic news) or because of an expiring patent (i.e., idiosyncratic news).
 
8
Accounting conservatism is not the only driver of asymmetric timeliness in earnings. For a discussion of how other possible drivers of asymmetric timeliness could affect our results, see Section 6.1.
 
9
Following Konchitchki and Patatoukas (2014a), we omit the BEA’s estimate of corporate profits because it is included in the calculation of current period GDP growth, which is already included in the model. Therefore a significant coefficient on aggregate earnings should be interpreted as an incremental effect to that of the BEA’s estimate of corporate profits. Konchitchki and Patatoukas (2015) examine the basic model after controlling for the BEA’s estimate of corporate profits and find consistent results with those of Konchitchki and Patatoukas (2014a). After including BEA corporate profits and allowing it to vary asymmetrically we find similar results. See the web appendix.
 
10
Throughout the paper, we follow Konchitchki and Patatoukas (2014a) and use OLS coefficient estimates with standard errors adjusted for both heteroskadasticity and autocorrelation, following Newey and West (1987). The lag length is set equal to three (N0.25, where N, the number of observations used in our regressions, equals 93); see Greene (2011) for details. However, our results are robust to using lag lengths varying from zero to four.
 
11
We do not have a theoretical reason to expect a different intercept term when aggregate accounting earnings decline and thus make no prediction for the coefficient on the negative change indicator variable.
 
12
Anillowski-Cain and McVay (2016) find that asset write-downs and restructuring comprise most Compustat special items. Specifically, the authors find that special items is comprised from 31%–73% write-downs and from 28%–46% restructuring charges, depending on the subsample examined.
 
13
In the web appendix, we report an alternate specification employing I(ΔNIq < 0), rather than decomposing into I(ΔCIq < 0) and I(ΔSPIq < 0), and find similar results. In untabulated results, we find that the correlation between I(ΔNIq < 0) and I(ΔSPIq < 0) is 0.68.
 
14
The index incorporates nonfarm payroll employment, the unemployment rate, average hours worked in manufacturing, wages and salaries, housing permits, unemployment insurance claims, manufacturing delivery times, and the interest rate spread. See https://​fred.​stlouisfed.​org/​series/​USSLIND for details.
 
15
RECPROB is provided by Federal Reserve Bank of St. Louis and is obtained from a dynamic-factor Markov-switching model. The model was originally developed by Chauvet (1998). Further detail can be found at the website: https://​fred.​stlouisfed.​org/​series/​RECPROUSM156N.
 
16
We find similar results when using an equal-weighted measure of aggregate earnings growth (see the web appendix), suggesting our results are not driven by the weighting system established by Konchitchki and Patatoukas (2014a).
 
18
3.08 = 0.7408 / 0.2398.
 
19
The incremental positive coefficient on negative aggregate earnings changes remains significant in explaining GDP growth up to two quarters ahead.
 
20
1.91 = 0.2590 / 0.1359.
 
21
Several researchers question the Basu (1997) measure of conservatism, which is widely used in the literature. They question the measure on both theoretical (Schipper 2005; Guay and Verrecchia 2006) and econometric (Dietrich et al. 2007; Patatoukas and Thomas 2011; Lawrence et al. 2013; Patatoukas and Thomas 2016) grounds. Our empirical analysis does not use the Basu specification and is therefore not subject to criticisms of the measure.
 
22
Poor contemporaneous operating performance could indicate that a loss has occurred and trigger an asset impairment. In this case, the full capitalized loss will impact accounting earnings, whereas the impact on operating performance will occur over several years.
 
23
We use GDI, one of the three theoretical measures of GDP, because it directly incorporates corporate profits. As such, it provides the best sectioning of GDP to examine the direct and indirect explanations.
 
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Metadaten
Titel
Negative accounting earnings and gross domestic product
verfasst von
Fabio B. Gaertner
Asad Kausar
Logan B. Steele
Publikationsdatum
18.06.2020
Verlag
Springer US
Erschienen in
Review of Accounting Studies / Ausgabe 4/2020
Print ISSN: 1380-6653
Elektronische ISSN: 1573-7136
DOI
https://doi.org/10.1007/s11142-020-09536-x

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