Sample reconciliation and sample distribution
| Description | Firm-years | Unique firms | |||||
|---|---|---|---|---|---|---|---|
| Panel A: Sample reconciliation | |||||||
| Initial sample | 2,767 | 415 | |||||
| Firms with more than one share class, suspended shares or impediments for hand-collected data† | (401) | (37) | |||||
| Steinhoff International Holdings NV‡ | (7) | (1) | |||||
| Cash flow, operating earnings or headline earnings information missing | (64) | (5) | |||||
| Insufficient data to determine firm characteristic variables§ | (56) | (3) | |||||
| Insufficient information to calculate earnings volatility¶ | (366) | (35) | |||||
| Final sample for level specifications | 1,873 | 334 | |||||
| Insufficient data to calculate change in leverage or tangibility | (10) | (2) | |||||
| Final sample for change specifications | 1,863 | 332 | |||||
| Panel B: Sample distribution per year (level specifications) | |||||||
| Sample year | Firm-years | % of total | ISBS (mean) | ISBSdis (mean) | ISCFdis (mean) | Comment (mean) | High (mean) |
| 2012 | 254 | 13.6 | 0.68 | 0.89 | 0.19 | 0.34 | 0.70 |
| 2013 | 246 | 13.1 | 0.66 | 0.89 | 0.18 | 0.42 | 0.74 |
| 2014 | 238 | 12.7 | 0.65 | 0.89 | 0.17 | 0.49 | 0.77 |
| 2015 | 230 | 12.3 | 0.63 | 0.89 | 0.17 | 0.53 | 0.79 |
| 2016 | 218 | 11.6 | 0.63 | 0.93 | 0.15 | 0.55 | 0.83 |
| 2017 | 225 | 12.0 | 0.63 | 0.91 | 0.13 | 0.58 | 0.83 |
| 2018 | 228 | 12.2 | 0.61 | 0.93 | 0.14 | 0.67 | 0.82 |
| 2019 | 234 | 12.5 | 0.58 | 0.94 | 0.13 | 0.75 | 0.80 |
| Total | 1,873 | 100.0 | 0.63 | 0.91 | 0.16 | 0.54 | 0.78 |
| Description | Firm-years | Unique firms | |||||
|---|---|---|---|---|---|---|---|
| Initial sample | 2,767 | 415 | |||||
| Firms with more than one share class, suspended shares or impediments for hand-collected data† | (401) | (37) | |||||
| Steinhoff International Holdings | (7) | (1) | |||||
| Cash flow, operating earnings or headline earnings information missing | (64) | (5) | |||||
| Insufficient data to determine firm characteristic variables§ | (56) | (3) | |||||
| Insufficient information to calculate earnings volatility¶ | (366) | (35) | |||||
| Final sample for level specifications | 1,873 | 334 | |||||
| Insufficient data to calculate change in leverage or tangibility | (10) | (2) | |||||
| Final sample for change specifications | 1,863 | 332 | |||||
| 2012 | 254 | 13.6 | 0.68 | 0.89 | 0.19 | 0.34 | 0.70 |
| 2013 | 246 | 13.1 | 0.66 | 0.89 | 0.18 | 0.42 | 0.74 |
| 2014 | 238 | 12.7 | 0.65 | 0.89 | 0.17 | 0.49 | 0.77 |
| 2015 | 230 | 12.3 | 0.63 | 0.89 | 0.17 | 0.53 | 0.79 |
| 2016 | 218 | 11.6 | 0.63 | 0.93 | 0.15 | 0.55 | 0.83 |
| 2017 | 225 | 12.0 | 0.63 | 0.91 | 0.13 | 0.58 | 0.83 |
| 2018 | 228 | 12.2 | 0.61 | 0.93 | 0.14 | 0.67 | 0.82 |
| 2019 | 234 | 12.5 | 0.58 | 0.94 | 0.13 | 0.75 | 0.80 |
| Sample year | Firm-years | % of total | mISBS (mean) | mISBSdis (mean) | mISCFdis (mean) | mComment (mean) | mHigh (mean) |
|---|---|---|---|---|---|---|---|
| Panel C: Sample distribution per year (change specifications) | |||||||
| 2012 | 253 | 13.6 | 0.06 | 0.15 | 0.24 | 0.09 | 0.11 |
| 2013 | 245 | 13.2 | 0.06 | 0.13 | 0.22 | 0.13 | 0.14 |
| 2014 | 237 | 12.7 | 0.04 | 0.10 | 0.19 | 0.07 | 0.05 |
| 2015 | 229 | 12.3 | 0.03 | 0.10 | 0.13 | 0.06 | 0.11 |
| 2016 | 218 | 11.7 | 0.05 | 0.08 | 0.17 | 0.06 | 0.07 |
| 2017 | 222 | 11.9 | 0.04 | 0.07 | 0.11 | 0.04 | 0.06 |
| 2018 | 227 | 12.2 | 0.03 | 0.06 | 0.08 | 0.08 | 0.04 |
| 2019 | 232 | 12.5 | 0.05 | 0.07 | 0.15 | 0.07 | 0.06 |
| Total | 1,863 | 100.0 | 0.04 | 0.09 | 0.17 | 0.08 | 0.08 |
| Panel D: Sample distribution per industry (level specifications) | |||||||
| Industry | Firm-years | % of total | ISBS (mean) | ISBSdis (mean) | ISCFdis (mean) | Comment (mean) | High (mean) |
| Basic materials | 282 | 15.1 | 0.64 | 0.89 | 0.19 | 0.57 | 0.83 |
| Consumer discretionary | 242 | 12.9 | 0.73 | 0.90 | 0.14 | 0.48 | 0.75 |
| Consumer staples | 148 | 7.9 | 0.68 | 0.93 | 0.18 | 0.57 | 0.77 |
| Energy | 43 | 2.3 | 0.63 | 1.00 | 0.23 | 0.49 | 0.72 |
| Financials | 271 | 14.5 | 0.48 | 0.95 | 0.12 | 0.71 | 0.88 |
| Health care | 59 | 3.2 | 0.58 | 0.80 | 0.20 | 0.46 | 0.83 |
| Industrials | 437 | 23.3 | 0.69 | 0.88 | 0.15 | 0.46 | 0.80 |
| Real estate | 205 | 10.9 | 0.38 | 0.95 | 0.27 | 0.51 | 0.69 |
| Technology | 125 | 6.7 | 0.79 | 0.90 | 0.07 | 0.42 | 0.61 |
| Telecommunications | 55 | 2.9 | 0.91 | 0.96 | 0.02 | 0.69 | 0.91 |
| Utilities | 6 | 0.3 | 1.00 | 0.67 | 0.00 | 0.67 | 0.00 |
| Total | 1,873 | 100.0 | 0.63 | 0.91 | 0.16 | 0.54 | 0.78 |
| 2012 | 253 | 13.6 | 0.06 | 0.15 | 0.24 | 0.09 | 0.11 |
| 2013 | 245 | 13.2 | 0.06 | 0.13 | 0.22 | 0.13 | 0.14 |
| 2014 | 237 | 12.7 | 0.04 | 0.10 | 0.19 | 0.07 | 0.05 |
| 2015 | 229 | 12.3 | 0.03 | 0.10 | 0.13 | 0.06 | 0.11 |
| 2016 | 218 | 11.7 | 0.05 | 0.08 | 0.17 | 0.06 | 0.07 |
| 2017 | 222 | 11.9 | 0.04 | 0.07 | 0.11 | 0.04 | 0.06 |
| 2018 | 227 | 12.2 | 0.03 | 0.06 | 0.08 | 0.08 | 0.04 |
| 2019 | 232 | 12.5 | 0.05 | 0.07 | 0.15 | 0.07 | 0.06 |
| Basic materials | 282 | 15.1 | 0.64 | 0.89 | 0.19 | 0.57 | 0.83 |
| Consumer discretionary | 242 | 12.9 | 0.73 | 0.90 | 0.14 | 0.48 | 0.75 |
| Consumer staples | 148 | 7.9 | 0.68 | 0.93 | 0.18 | 0.57 | 0.77 |
| Energy | 43 | 2.3 | 0.63 | 1.00 | 0.23 | 0.49 | 0.72 |
| Financials | 271 | 14.5 | 0.48 | 0.95 | 0.12 | 0.71 | 0.88 |
| Health care | 59 | 3.2 | 0.58 | 0.80 | 0.20 | 0.46 | 0.83 |
| Industrials | 437 | 23.3 | 0.69 | 0.88 | 0.15 | 0.46 | 0.80 |
| Real estate | 205 | 10.9 | 0.38 | 0.95 | 0.27 | 0.51 | 0.69 |
| Technology | 125 | 6.7 | 0.79 | 0.90 | 0.07 | 0.42 | 0.61 |
| Telecommunications | 55 | 2.9 | 0.91 | 0.96 | 0.02 | 0.69 | 0.91 |
| Utilities | 6 | 0.3 | 1.00 | 0.67 | 0.00 | 0.67 | 0.00 |
| Industry | Firm-years | % of total | mISBS (mean) | mISBSdis (mean) | mISCFdis (mean) | mComment (mean) | mHigh (mean) |
|---|---|---|---|---|---|---|---|
| Panel E: Sample distribution per industry (change specifications) | |||||||
| Basic materials | 280 | 15.0 | 0.04 | 0.09 | 0.13 | 0.07 | 0.06 |
| Consumer discretionary | 240 | 12.9 | 0.05 | 0.12 | 0.18 | 0.07 | 0.09 |
| Consumer staples | 148 | 7. | 0.03 | 0.03 | 0.14 | 0.06 | 0.07 |
| Energy | 42 | 2.3 | 0.05 | 0.07 | 0.21 | 0.14 | 0.14 |
| Financials | 269 | 14.4 | 0.03 | 0.05 | 0.09 | 0.03 | 0.05 |
| Health care | 59 | 3.2 | 0.07 | 0.22 | 0.29 | 0.08 | 0.12 |
| Industrials | 437 | 23.5 | 0.05 | 0.12 | 0.16 | 0.10 | 0.12 |
| Real estate | 203 | 10.9 | 0.05 | 0.10 | 0.25 | 0.07 | 0.06 |
| Technology | 124 | 6.7 | 0.06 | 0.09 | 0.20 | 0.10 | 0.11 |
| Telecommunications | 55 | 3.0 | 0.02 | 0.05 | 0.15 | 0.05 | 0.00 |
| Utilities | 6 | 0.3 | 0.00 | 0.17 | 0.33 | 0.17 | 0.00 |
| Total | 1,863 | 100.0 | 0.04 | 0.09 | 0.17 | 0.08 | 0.08 |
| Basic materials | 280 | 15.0 | 0.04 | 0.09 | 0.13 | 0.07 | 0.06 |
| Consumer discretionary | 240 | 12.9 | 0.05 | 0.12 | 0.18 | 0.07 | 0.09 |
| Consumer staples | 148 | 7. | 0.03 | 0.03 | 0.14 | 0.06 | 0.07 |
| Energy | 42 | 2.3 | 0.05 | 0.07 | 0.21 | 0.14 | 0.14 |
| Financials | 269 | 14.4 | 0.03 | 0.05 | 0.09 | 0.03 | 0.05 |
| Health care | 59 | 3.2 | 0.07 | 0.22 | 0.29 | 0.08 | 0.12 |
| Industrials | 437 | 23.5 | 0.05 | 0.12 | 0.16 | 0.10 | 0.12 |
| Real estate | 203 | 10.9 | 0.05 | 0.10 | 0.25 | 0.07 | 0.06 |
| Technology | 124 | 6.7 | 0.06 | 0.09 | 0.20 | 0.10 | 0.11 |
| Telecommunications | 55 | 3.0 | 0.02 | 0.05 | 0.15 | 0.05 | 0.00 |
| Utilities | 6 | 0.3 | 0.00 | 0.17 | 0.33 | 0.17 | 0.00 |
Variables are defined in the Appendix. †Suspended shares are removed from the sample as financial reports are frequently outstanding or released long after the required release dates, so that market values and non-financial variables are not concurrent to the accounting data. Hand-collection impediments arise when firms are not listed for a full year or change their reporting date – although the database adjusts for such changes, ensuring a consistent adjustment for hand-collected data is not feasible. ‡The financial reports of Steinhoff International Holdings NV include significant fraud during the sample period. Financial data on the database is being retrospectively updated as new financial reports are released, so that market values and non-financial variables are not concurrent to the accounting data. §This includes firms where items such as revenue, total assets, total debt, and property, plant and equipment are missing from the database. ¶We require three years of earnings data to calculate earnings volatility. In some cases, data for years before the start of the sample period is not available (e.g. if a firm is first listed in the year before the sample period starts)
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