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23

臺大管理論叢

27

卷第

4

Incorporating the QFIIs’ trading strategies into regression (the IS_HH_HL model), the

coefficients of QFII_HH

t

*IS

t

*X

t3

and QFII_HL

t

*IS

t

*X

t3

are -0.055 (

t

= -1.47) and -0.075 (

t

=

-1.45), both negative and statistically insignificant. It is unlikely that the earnings

informativeness of income smoothing is affected by the QFIIs’ shareholding volatility.

However, it is worthy to mention that there were ceilings for each foreign investor’s

shareholding in individual firms as well as for total foreign shareholdings in individual firms

before the year 2000 in Taiwanese listed firms. Futhermore, these shareholding restrictions

have declined steadily over time and there was complete deregulation after 2003. Whether

these somewhat surprising results can be attributed to the restrictions of QFIIs’ ownership

will be discussed in the following section.

4.4 The Effect of QFIIs Regulations Examination

To examine the effect of regulations on QFIIs on the earnings informativeness for firms

with income smoothing, this study divides the entire observation period into two exclusive

subperiods, i.e., pre-deregulation (1997~2002) versus post-deregulation (2003~2007).

5

The

results are presented in Table 6.

6

From IS_QFII model in Table 6, the coefficients of

5 We note that using the two exclusive subsamples based on year 2003 is likely contaminated because of the IS

measure and increases the difficulty of interpretation about the association between income smoothing and

earnings informativeness after the QFIIs deregulation. Thus, this study uses both the variance of the residuals

from the regressions of the change in net income before extraordinary items and the change in operating cash

flow on variables, which are estimated by Lang, Raedy, and Wilson (2006) to measure the variability of

change in net income (ΔNI*) and the variability of change in operating cash flow (ΔCFO*) to understand

whether managerial accruals management has be changed after the QFIIs deregulation. We use two measures,

i.e., the variability of ΔNI* and the variability of ΔNI* over ΔCFO*, to examine whether the income

smoothing behaviors had been changed after the QFIIs deregulation. The untabulated results revealed that the

variability of ΔNI* is 0.058 and 0.104 in the pre-deregulation period versus post-deregulation period,

respectively. The mean ratio of the variability of ΔNI* to ΔCFO* measure is 0.898 and 1.195 in the pre-

deregulation period versus post-deregulation period, respectively. Both the variability measures are

statistically significant at the traditional level. We also turn back to look our initial discretionary accruals (DA)

estimation and find that average discretionary accruals is -0.0052 and 0.0018 in the pre- versus post-

deregulation period, respectively. The mean difference of discretionary accruals is statistically significant at

the 5% level (

t

= 2.28). These results to some extent revealed distinctive pattern of managerial income

smoothing behaviors after the QFIIs deregulation.

6 To control for the residuals may be correlated, we rerun Regression (1), (2), and (3) and compute standard

errors clustered by industry (Petersen, 2009). The results do not qualitatively change the primary findings.