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Erschienen in: Review of Quantitative Finance and Accounting 1/2013

01.07.2013 | Original Research

On the time series measure of conservatism: a threshold autoregressive model

verfasst von: Sebastian Brauer, Frank Westermann

Erschienen in: Review of Quantitative Finance and Accounting | Ausgabe 1/2013

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Abstract

In this note we propose an alternative test specification for Basu’s (1997) time series measure of conservatism that is related to the threshold unit root test of Enders and Granger (1998). We argue that a regression of changes in earnings on the lagged levels—rather than lagged changes—, including an interaction term for negative values, has three conceptual advantages compared to the conventional setup: (1) a smooth, non-oscillating impulse-response pattern to an unexpected shock in earnings (2) a more efficient estimate of persistence in the long run and (3) it can be extended to higher order autoregressive processes. We apply both approaches to a common dataset of firms from the S&P500 index. We confirm the conventional finding that negative shocks are transitory and display stronger mean reversion than positive shocks. However, while most of the literature reports mixed evidence on positive shocks, we find clear evidence that positive shocks are transitory as well. In a Monte Carlo simulation we explain this finding by documenting that larger standard errors in the Basu specification can lead to incorrect inference when the decision between persistent and transitory shocks is close.

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Fußnoten
1
See also Ball et al. (2010) for a recent discussion on the measurement of conservatism.
 
2
Apart from the time series approach, there are also other measures of conservatism. Widely used in literature, for instance, are earnings-returns based models and cash flow or accruals models (see Givoly et al. (2007) for an overview.) However, most of them are not uncontroversial. The estimation errors of accruals using the balance sheet approach have been pointed out by Collins and Hribar (2002) and the limitations of market-based approaches are discussed by Dietrich et al. (2007) and Beatty (2007).
 
3
With R squares of often <10 % in the Basu regression, the analysis of such unexpected changes clearly seems to be of high relevance to the overall analysis.
 
4
See also the theoretical underpinning given in Roychowdhury and Watts (2007).
 
5
See Sect. 6.
 
6
This specification is abstracting from serial correlation in the changes of accounting income. This lagged terms could be added to the regression as control variables, without changing the interpretation of the β1 coefficient. This would than be a full augmented Dickey and Fuller (1979) test specification as discussed in Hamilton (1994), Eq. 17.7.11., pp. 516–518. Luetkepohl and Kraetzig (2004) provide a more applied introduction to unit root testing.
 
7
Formally, this can be shown, when adding NI i,t−1 on both sides of the equation. As β1 + 1 is always positive, and between 0 and 1, any change in \(\varepsilon _{i,t}\) would smoothly disappear over time.
 
8
Note that the TAR model was not yet developed at the time of the original contribution of Basu (1997). We also do not fully adopt the TAR model, as in principle the Basu (1997) regression is a more natural setup for the research question of conservatism. While the TAR model tests whether positive and negative shocks, respectively, are persistent, the Basu (1997) setup is designed to test the significance of difference in the persistence between the two. This later question could only be answered in the Enders and Granger (1998) TAR model, when additionally performing a Wald test.
 
9
A recent analysis of S&P500 firms is also given in Saito (2012).
 
10
We also tested for Year and Firm/Year fixed effects. The results do not change quantitatively and are available upon request.
 
11
We also tried higher lag structures which remain insignificant, however.
 
12
A similar perspective is also taken in some papers that focus on the forecasting properties of net income. Albrecht et al. (1977), Finger (1994) and Gil-Alana and Peláez (2008) treat income as a stochastic ARIMA process. Finger (1994) is also quoted in the Basu (1997) and Ball and Shivakumar (2005) literature on the asymmetric timeliness, as Finger (1994) found that it is optimal to difference the data, due to the unit roots in the majority of cases. Note, however, that this was done purely for forecasting purposes. It does not follow from the Finger (1994) paper that the differencing of data is also appropriate for conducting tests of persistence. Finally, non-parametric measures of persistence are used, for instance, in Lipe and Kormendi (1994).
 
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Metadaten
Titel
On the time series measure of conservatism: a threshold autoregressive model
verfasst von
Sebastian Brauer
Frank Westermann
Publikationsdatum
01.07.2013
Verlag
Springer US
Erschienen in
Review of Quantitative Finance and Accounting / Ausgabe 1/2013
Print ISSN: 0924-865X
Elektronische ISSN: 1573-7179
DOI
https://doi.org/10.1007/s11156-012-0302-3

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