This study examines whether the board of directors shields executive compensation from asset write-downs, and whether the shielding effect varies with managerial power. Additionally, this paper investigates the association of compensation shielding with subsequent firm performance conditioned on managerial power and the quality of asset write-down, respectively. Our findings indicate that the existence of shielding executive compensation from asset write-downs and the shielding behavior of asset write-downs increases with managerial power. The result implies that the compensation shielding is attributed to managerial power to some degree, not optimal contract completely. Finally, we find a significantly negative
39
relationship between the shielding and subsequent market performance. Our evidence shows that the shielding driven by managerial power is favorable to executives and causes harm to firm performance, manifesting a suboptimal contract for shareholders.
This study provides important implications. Based on our findings, we complement prior literature on executive compensation and asset write-downs.
Different from existing studies based mainly on the external market perspective, this study based on the internal management perspective adds to the related literature by stressing the role of a write down in contracting and performance evaluation. The result supplements prior studies on the compensation shielding behavior, which are US based and largely rooted in optimal contracting theory.
Furthermore, given the more emphases that IFRSs put on managerial professional judgments, the difficulty in identifying fair value of long-lived assets, write-down decisions contain much managerial discretion and thus raise different aspects of agency problems. Our study additionally addresses the “compensating agency problem” related to reducing the compensation weight on asset write-downs.
These results may be of relevance for policy-makers that CEOs use their power to manipulate incentive contracts and obtain excess pay, leading to lower pay-performance sensitivity. Thus, our paper adds to the research on managerial power.
40
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Table 1 Selection of the Sample
Number of firms Firms that reported asset write-downs in 2004 and 2005 , excluding banking and
financial institution 580
Less firms:
if the CEO was not in office for the entire current and previous year (84) with substantial events, such as merging, declaring bankruptcy or
unlisted (6)
with insufficient compensation data (56) with insufficient CEO tenure data (20)
with insufficient financial and market value data (112) (278) Number of firms in final sample 302
Table 2 Descriptive Statistics
Variable Mean Standard Deviation Lower quartile Median Upper quartile CEO Compensation
COMP (thousands) 4003.454 5212.158 2035.000 2954.500 4544.500
ln(COMP) 7.998 0.734 7.618 7.991 8.422 Firm Performance CEO FAM (Dummy) 0.315 0.465 0.000 0.000 1.000 DUALITY (Dummy) 0.311 0.464 0.000 0.000 1.000 HI POWER (Dummy) 0.5 0.501 0.000 0.5 1.000 Control Variables
BOARD_SIZE 6.834 2.382 5.000 7.000 8.000 IND_BOARD 0.315 0.465 0.000 0.000 1.000 BOD_HOLD (%) 18.968 10.566 10.678 16.220 24.865
RET 0.112 0.173 0.017 0.076 0.154
RISK 18.445 7.354 13.422 17.393 22.039
TENU (Year) 9.136 8.504 3.000 6.000 11.000 LN(TENU) 1.853 0.835 1.099 1.792 2.398 MB 1.282 0.877 0.747 0.995 1.597
SIZE 15.255 1.408 14.272 15.111 15.965
YEAR (Dummy) 0.238 0.427 0.000 0.000 0.000 Note: 1. n=302. 2. Variable Definitions: COMP is CEO base salary plus cash reward, special allowances and bonus
in year t; ln(COMP) is the natural logarithm of adjusted CEO compensation; POS_INC is the positive value of income before asset write-off for period t (scaled by total assets at the beginning of the year t), zero otherwise;
NEG_INC is the negative value of income before asset write-off for period t (scaled by total assets at the beginning of the year t), zero otherwise; WOTA is firm i's reported asset write-downs (reflected as a negative
53
amount) for period t, divided by total assets at the end of t-l; POWER is constructed using three components:
CEO_HOLD, CEO_FAM and DUALITY; CEO_HOLD is the percentage of outstanding shares owned by the CEO;
CEO_FAM is an indicator variable equal to one if CEO is family member in year t, and zero otherwise; DUALITY is an indicator variable equal to one if the CEO is also the chairman of the board in year t, and zero otherwise;
HI_POWER is a dichotomous variable coded 1 if the CEO Power Index score is higher than the median value, and zero otherwise; BOARD_SIZE is the total number of directors on the board in year t; IND_BOARD is an indicator variable equal to one if the firm has an independent board member in year t, and zero otherwise; BOARD_HOLD is the percentage of outstanding shares owned by the directors in year t; RET is the annual stock returns in year t;
RISK is the average standard deviation of common stock monthly returns over the prior three years; TENU is measured as the number of years that the CEO has served the position in the firm; ln(TENU) is the natural log of CEO tenure in year t; MB is the ratio of the current share price to the book value per share in year t; SIZE is the natural log of total assets in year t; YEAR is an indicator variable equal to one if the observation is in year 2004, and zero otherwise.
Table 3 Industry and Year Distribution of Firm Numbers Panel A : Distribution of asset write-downs by industry
Industry Number of firms Percentage (%)
Cement 4 1.32
Food 7 2.32
Plastic 7 2.32
Textile 19 6.29
Electric Machinery 8 2.65
Electrical and Cable 6 1.99
Chemical 15 4.97
Computer and Peripheral Equipment 17 5.63
Optoelectronic 24 7.95
Communications and Internet 18 5.96 Electronic Parts and Components 36 11.92 Electronic Products Distribution 6 1.99
Information Service 11 3.64
Other Electronic 16 5.3
Building Material and Construction 34 11.26 Shipping and Transportation 3 0.99
Tourism 2 0.66
Trading and Consumers' Goods 7 2.32 Oil, Gas and Electricity 3 0.99
Other 15 4.97
Total 302 100
Panel B :Distribution of asset write-downs by fiscal year
Year 2004 2005 Total
Number of firms 72 230 302
Percentage (%) 23.8 76.2 100
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Table 4 Correlation Analysis
Variable 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17.
1.Ln(COMP) 1.00 0.39 *** 0.36 *** 0.26 *** 0.15 ***-0.03 -0.04 -0.03 -0.23 *** 0.18 *** 0.25 *** 0.50 *** 0.01 -0.14 ** -0.09 -0.04 -0.12 **
2.POS_INC 0.37 *** 1.00 0.83 *** 0.32 *** 0.05 0.14 ** 0.25 *** -0.04 -0.28 *** 0.10 * 0.36 *** 0.19 *** 0.02 0.00 0.02 -0.11 * -0.02 3.NEG_INC 0.31 *** 0.38 *** 1.00 0.31 *** 0.03 0.05 0.22 *** -0.02 -0.23 *** 0.06 0.18 *** 0.28 *** 0.01 -0.06 0.03 -0.13 ** -0.07 4.WOTA 0.12 ** 0.19 *** 0.17 *** 1.00 0.10 * 0.02 0.10 * -0.04 -0.21 *** 0.11 * 0.24 *** 0.28 *** -0.22 *** 0.00 -0.05 -0.04 -0.03 5. BOARD_SIZE 0.15 *** 0.08 0.09 0.06 1.00 0.14 ** 0.16 *** -0.16 *** -0.33 *** 0.02 0.10 * 0.26 *** 0.04 -0.25 *** -0.23 *** -0.15 ***-0.29 ***
6. IND_BOARD -0.05 0.17 *** 0.01 0.03 ** 0.07 1.00 0.15 *** 0.05 -0.23 *** -0.01 0.39 *** -0.20 *** -0.06 0.17 *** -0.03 -0.05 0.06 7. BOD_HOLD 0.01 0.20 *** 0.14 ** 0.07 0.13 ** 0.12 ** 1.00 -0.04 -0.32 *** 0.08 0.08 -0.22 *** 0.02 0.08 0.05 -0.10 * 0.02 8.RET -0.03 0.01 0.00 -0.03 -0.19 *** 0.00 -0.09 1.00 0.14 ** -0.04 -0.03 -0.02 -0.08 -0.03 -0.06 -0.04 -0.03 9.Risk -0.23 *** -0.26 *** -0.11 * -0.16 *** -0.30 ***-0.22 *** -0.29 *** 0.10 * 1.00 -0.18 *** -0.20 *** -0.07 -0.01 -0.04 0.03 0.14 ** 0.05 10.LN(TENU) 0.20 *** 0.12 ** 0.08 0.12 ** 0.01 -0.02 0.07 -0.08 -0.20 *** 1.00 0.09 0.01 -0.05 0.37 *** 0.26 *** 0.24 *** 0.38 ***
11.MB 0.21 *** 0.49 *** 0.10 * 0.18 *** 0.03 0.33 *** 0.07 -0.06 -0.17 *** 0.09 1.00 0.00 -0.08 0.17 *** -0.02 0.06 0.09 12.SIZE 0.50 *** 0.18 *** 0.30 *** 0.16 *** 0.37 ***-0.14 ** -0.12 ** -0.08 -0.12 ** 0.01 0.05 1.00 0.12 ** -0.42 *** -0.12 ** -0.14 ** -0.33 ***
13.YEAR 0.01 0.06 0.02 -0.11 * 0.06 * -0.06 0.03 -0.12 ** -0.01 -0.06 -0.02 0.12 ** 1.00 -0.10 * 0.01 -0.06 -0.07 14.CEO_HOLD -0.10 * 0.06 -0.05 0.06 -0.24 *** 0.15 *** 0.10 * -0.11 * -0.07 0.29 *** 0.19 *** -0.33 *** -0.07 1.00 0.51 *** 0.46 *** 0.85 ***
15.CEO_FAM -0.07 0.03 0.11 * -0.02 -0.23 ***-0.03 -0.01 -0.11 ** 0.02 0.27 *** 0.04 -0.12 ** 0.01 0.52 *** 1.00 0.35 *** 0.74 ***
16.DUALITY -0.03 -0.08 -0.09 -0.02 -0.17 ***-0.05 -0.09 -0.02 0.12 ** 0.25 *** 0.05 -0.17 *** -0.06 0.43 *** 0.35 *** 1.00 0.72 ***
17.POWER -0.09 -0.01 0.01 -0.01 -0.28 *** 0.01 -0.05 -0.08 0.05 0.36 *** 0.10 * -0.26 *** -0.05 0.71 *** 0.81 *** 0.79 *** 1.00
Note: 1. n=302. 2. Spearman correlations are reported above the diagonal. Pearson correlations are reported below the diagonal. 3. See Table 1 for variable definitions. 4. ***, **, and * indicate significance at the 1%, 5%, and 10% level, respectively
55
Table 5 Results from the Relation between Asset Write-downs and CEO Compensation Panel A - Coefficient Estimates
Dependent Variable: ln(COMP)
Independent Variable Predicted BOARD_SIZE ? -0.061 -0.019 0.014 -1.369 1.326 IND_BOARD - -0.074 -0.116 0.076 -1.522 * 1.227
Panel B - Summed Coefficients & Coefficient Differences (F-statistics behind coefficient difference estimates)
Model: 0 1 2 3 4
COMP POS INC NEG INC WOTA BOARD SIZE IND BOARD BOARD HOLD RET RISK
TENU MB SIZE YEAR
Test for the existence of shielding effect
POS_INC- WOTA, 13 0.255 (4.58**)
Note: 1. n=302. 2. see Table 1 for variable definitions. 3. ***, **, and * indicate significance at the 1%, 5%, and 10% level, respectively; one-tailed for all coefficients except for those without predicted signs. 4. If the White test statistics reveals the heterogeneity problem, the t-values are calculated based on the heteroskedasticity-consistent covariance matrix following White (1980). 5.VIFs are all smaller than 10.
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Table 6 Results for the Effect of Managerial Power on the Relationship between Asset write-downs and CEO Compensation
Panel A - Coefficient Estimates Dependent Variable: ln(COMP)
Independent Variable Predicted sign Standardized coefficient
Estimated coefficient
Standard
Deviation t value VIF INTERCEPT ? 0.000 4.388 0.563 7.788 *** 0.000 Adj R2=0.358; Model F(p)= 13.006 (<.0001)
Panel B - Summed Coefficients & Coefficient Differences (F-statistics behind coefficient difference estimates)
Model: 0 1 2 3 4
The coefficient of asset write-downs when CEO with high power _
W O T AH I P O W E R W O T A ,35 -0.121 (5.26**) Test for the existence of shielding effect
POS_INC-WOTA, 13 0.194 (0.72)
POS_INC-(WOTAHI_POWERWOTA),1(35) 0.078 (8.25***)
Note: 1. n=302. 2. see Table 1 for variable definitions. 3. ***, **, and * indicate significance at the 1%, 5%, and 10% level, respectively; one-tailed for all coefficients except for those without predicted signs. 4. If the White test statistics reveals the heterogeneity problem, the t-values are calculated based on the heteroskedasticity-consistent covariance matrix following White (1980). 5.VIFs are all smaller than 10.
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Table 7 Results for the Moderating Effect of Individual CEO Power Measure to the Relation between Asset Write-downs and CEO Compensation Adj R2=0.416; Model F(p)=12.902 (<.0001)
Panel B - Summed Coefficients & Coefficient Differences (F-statistics behind coefficient difference estimates)
Model: 0 1 2 3 4 5
COMP POS INC NEG INC WOTA HI CEO HOLD CEO FAM
DUALITY HI CEO HOLD WOTA CEO FAM WOTA DUALITY WOTA
BOARD SIZE IND BOARD BOARD HOLD RET R
The coefficient of asset write-downs when CEO with high shareholding
_ _
W O TAH I C EO H O LD W O TA , 3 7 -0.066 (4.40**) The coefficient of asset write-downs when CEO are also one of family members
_
W O T AC E O F A M W O T A , 3 8 -0.021 (4.75**) The coefficient of asset write-downs when CEO are also in the position of chairman
W O T AC E O F A M W O T A , 3 8 -0.021 (4.75**) The coefficient of asset write-downs when CEO are also in the position of chairman