Conservative Financial Reporting and Resilience to the Financial Crisis
Abstract
:1. Introduction
2. Literature Review
3. Hypotheses Development
3.1. Economic Crisis and Firm Performance
3.2. Conservative Financial Reporting during Financial Crises
3.3. Hypotheses Development
4. Research Design and Sample
4.1. OLS Regression Models
4.2. Sample Selection
5. Results
5.1. Descriptive Statistics
5.2. Economic Shocks and Conservatism (H1)
5.3. Future Firm Performance and Conservatism during an Economic Shock (H2)
5.4. Robustness Tests
6. Discussion and Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Variable | Definition | |
CSV | = | Conservatism measure in financial reporting (special items ratio) following Donovan et al. [28]. |
SHOCK | = | Indicator variable equal to 1 if fiscal year = 2007 or 2008, and zero otherwise. |
ΔPERF | = | Change in firm performance equal to RET(t+3) – RET(t−3), where RET is annual stock returns. |
M.B. | = | Market-to-book ratio at the beginning of the fiscal year ((Compustat “CSHO”*Compustat “PRCC_F”)/Compustat “CEQ”). |
LEV | = | Financial leverage = Leverage, which is equal to total debt (Compustat “DLTT” + Compustat “DLC”) divided by total assets (Compustat “AT”) at the beginning of the fiscal year. |
SIZE | = | Natural logarithm of the market value of equity (Compustat “CSHO” * Compustat “PRCC_F”) at the beginning of the fiscal year. |
GRSALE | = | Percentage of annual growth in total sales. |
RDA | = | Total research and development expense plus advertising expense deflated by total sales. |
CFO | = | Cash flow from operations (OANCF) divided by average total assets of year t. |
REVSTD | = | Standard deviation of the natural log of revenues measured from t − 5 to year t − 1. |
AGE | = | Natural logarithm of the number of years of data for the client firm since the coverage in Compustat. |
RETVOL | = | Standard deviation of monthly stock returns over year t. |
SPREAD | = | Bid-ask spread scaled by the midpoint of the spread, obtained from the Center for Research in Security Prices (CRSP). |
ZSCORE | = | Altman’s Z-score. |
RET | = | Annual compound stock returns. |
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Variable | Mean | Std. Dev. | Q1 | Median | Q3 |
---|---|---|---|---|---|
CSV | 2.562 | 1.509 | 2.000 | 2.000 | 4.000 |
SHOCK | 0.089 | 0.285 | 0.000 | 0.000 | 0.000 |
ΔPERF | −0.002 | 0.487 | −0.238 | −0.004 | 0.232 |
MB | 2.957 | 4.069 | 1.224 | 1.939 | 3.250 |
LEV | 0.455 | 1.016 | 0.029 | 0.179 | 0.493 |
SIZE | 6.057 | 2.295 | 4.352 | 6.038 | 7.699 |
GRSALE | 0.117 | 0.437 | −0.026 | 0.065 | 0.180 |
RDA | 0.027 | 0.134 | 0.000 | 0.000 | 0.000 |
CFO | −0.099 | 0.764 | −0.057 | 0.040 | 0.109 |
REVSTD | 0.284 | 0.285 | 0.116 | 0.200 | 0.344 |
AGE | 21.793 | 12.629 | 11.000 | 19.000 | 31.000 |
RETVOL | 0.127 | 0.078 | 0.074 | 0.108 | 0.158 |
SPREAD | 0.043 | 0.033 | 0.024 | 0.036 | 0.053 |
ZSCORE | 5.156 | 17.958 | 1.994 | 3.351 | 5.335 |
RET | 0.203 | 0.704 | −0.176 | 0.085 | 0.386 |
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. CSV | ||||||||||||||
2. SHOCK | 0.110 | |||||||||||||
3. ΔPERF | 0.073 | 0.098 | ||||||||||||
4. MB | −0.069 | −0.011 | −0.158 | |||||||||||
5. LEV | 0.087 | 0.030 | 0.214 | −0.128 | ||||||||||
6. SIZE | −0.037 | 0.072 | −0.187 | 0.195 | −0.136 | |||||||||
7. GRSALE | −0.045 | 0.020 | −0.131 | 0.119 | −0.042 | 0.015 | ||||||||
8. RDA | 0.013 | 0.016 | −0.004 | 0.064 | −0.056 | 0.001 | 0.034 | |||||||
9. CFO | 0.003 | −0.003 | −0.018 | −0.048 | 0.003 | 0.263 | 0.001 | −0.008 | ||||||
10.REVSTD | 0.026 | 0.012 | −0.044 | 0.135 | −0.012 | −0.113 | 0.228 | 0.091 | −0.035 | |||||
11. AGE | −0.005 | 0.038 | −0.010 | −0.028 | −0.009 | 0.332 | −0.110 | −0.072 | 0.034 | −0.308 | ||||
12. RETVOL | 0.058 | −0.010 | 0.089 | 0.058 | 0.104 | −0.382 | 0.058 | 0.066 | −0.104 | 0.278 | −0.321 | |||
13. SPREAD | −0.008 | −0.103 | 0.067 | 0.014 | 0.022 | −0.472 | 0.060 | 0.050 | −0.153 | 0.239 | −0.304 | 0.508 | ||
14. ZSCORE | −0.041 | −0.017 | −0.090 | 0.161 | −0.084 | 0.009 | 0.068 | 0.044 | −0.061 | 0.077 | −0.044 | 0.035 | 0.022 | |
15. RET | −0.190 | −0.189 | 0.013 | 0.145 | −0.090 | 0.013 | 0.058 | −0.003 | 0.000 | 0.017 | −0.061 | 0.254 | 0.163 | 0.064 |
Dependent Variable = CSV | ||
---|---|---|
Variable | Coeff. | (t-Stats) |
Intercept | 2.463 *** | (22.89) |
SHOCK | 0.556 *** | (2.65) |
MB | −0.021 *** | (−5.84) |
LEV | 0.101 *** | (7.08) |
SIZE | −0.013 | (−0.90) |
GRSALE | −0.160 *** | (−5.35) |
RDA | 0.181 ** | (2.40) |
CFO | 0.014 | (0.97) |
REVSTD | 0.189 *** | (4.37) |
AGE | 0.001 | (1.29) |
RETVOL | 1.273 *** | (3.36) |
SPREAD | −1.941 *** | (−3.17) |
2-way cluster | Yes | |
Industry & year | Yes | |
Adj. R2 | 0.029 | |
N | 36,561 |
Dependent Variable = ΔPERF | ||
---|---|---|
Variable | Coeff. | (t-Stats) |
Intercept | 0.138 ** | (2.48) |
CSV | 0.009 ** | (2.39) |
SHOCK | 0.084 *** | (2.65) |
CSV × SHOCK | 0.037 *** | (7.39) |
MB | −0.011 *** | (−6.38) |
LEV | 0.082 *** | (8.25) |
SIZE | −0.034 *** | (−5.38) |
GRSALE | −0.119 *** | (−5.71) |
RDA | 0.065 ** | (2.12) |
CFO | 0.011 ** | (2.00) |
REVSTD | −0.033 | (−1.35) |
AGE | 0.001 *** | (2.54) |
RETVOL | 0.098 | (0.73) |
SPREAD | 0.029 | (0.09) |
ZSCORE | −0.001 * | (−1.95) |
RET | 0.055 ** | (2.22) |
2-way cluster | Yes | |
Industry & year | Yes | |
Adj. R2 | 0.117 | |
N | 36,561 |
Panel A. H1 | ||
Dependent Variable = CSV_ALT | ||
Variable | Coeff. | (t-stats) |
Intercept | 2.637 *** | (34.64) |
SHOCK | 0.242 *** | (5.60) |
Controls | Yes | |
2-way cluster | Yes | |
Industry & year | Yes | |
Adj. R2 | 0.029 | |
N | 36,561 | |
Panel B. H2 | ||
Dependent Variable = ΔPERF | ||
Variable | Coeff. | (t-stats) |
Intercept | 0.125 ** | (2.23) |
CSV_ALT | 0.013 ** | (3.97) |
SHOCK | 0.138 *** | (5.18) |
CSV_ALT × SHOCK | 0.019 *** | (2.72) |
Controls | Yes | |
2-way cluster | Yes | |
Industry & year | Yes | |
Adj. R2 | 0.118 | |
N | 36,561 |
Panel A. Alternative performance measure | ||
Dependent Variable = ΔPERF_ALT | ||
Variable | Coeff. | (t-stats) |
Intercept | −0.040 *** | (−4.04) |
CSV | −0.003 *** | (−3.74) |
SHOCK | −0.013 ** | (−2.07) |
CSV × SHOCK | 0.002 * | (1.84) |
Controls | Yes | |
2-way cluster | Yes | |
Industry & year | Yes | |
Adj. R2 | 0.039 | |
N | 36,561 | |
Panel B. Alternative performance measure with alternative conservatism measure | ||
Dependent Variable = ΔPERF_ALT | ||
Variable | Coeff. | (t-stats) |
Intercept | −0.047 *** | (−4.55) |
CSV_ALT | −0.000 | (−0.36) |
SHOCK | −0.023 *** | (−4.71) |
CSV_ALT × SHOCK | 0.004 *** | (4.31) |
Controls | Yes | |
2-way cluster | Yes | |
Industry & year | Yes | |
Adj. R2 | 0.038 | |
N | 36,561 |
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Kim, T.; Shawn, H. Conservative Financial Reporting and Resilience to the Financial Crisis. Sustainability 2022, 14, 8535. https://doi.org/10.3390/su14148535
Kim T, Shawn H. Conservative Financial Reporting and Resilience to the Financial Crisis. Sustainability. 2022; 14(14):8535. https://doi.org/10.3390/su14148535
Chicago/Turabian StyleKim, Taewoo, and Hyuk Shawn. 2022. "Conservative Financial Reporting and Resilience to the Financial Crisis" Sustainability 14, no. 14: 8535. https://doi.org/10.3390/su14148535
APA StyleKim, T., & Shawn, H. (2022). Conservative Financial Reporting and Resilience to the Financial Crisis. Sustainability, 14(14), 8535. https://doi.org/10.3390/su14148535