Stock liquidity and investors' misperception of the persistence of annual accruals
| Parameter | Estimate | Parameter | Estimate | Parameter | Estimate | Parameter | Estimate |
|---|---|---|---|---|---|---|---|
| All | |||||||
| 0.647** | 1.039** | 0.392** | 0.606** | ||||
| 0.750** | 0.901** | 0.151** | 0.201** | ||||
| Liquidity: low | |||||||
| 0.610** | 1.124** | 0.514** | 0.843** | ||||
| 0.743** | 0.900** | 0.158** | 0.212** | ||||
| Liquidity: medium | |||||||
| 0.652** | 1.099** | 0.447** | 0.685** | ||||
| 0.729** | 1.014** | 0.285** | 0.391** | ||||
| Liquidity: high | |||||||
| 0.637** | 0.804** | 0.166** | 0.261** | ||||
| 0.673** | 0.689** | 0.016 | 0.024 | ||||
| Parameter | Estimate | Parameter | Estimate | Parameter | Estimate | Parameter | Estimate |
|---|---|---|---|---|---|---|---|
| 0.647** | 1.039** | 0.392** | 0.606** | ||||
| 0.750** | 0.901** | 0.151** | 0.201** | ||||
| 0.610** | 1.124** | 0.514** | 0.843** | ||||
| 0.743** | 0.900** | 0.158** | 0.212** | ||||
| 0.652** | 1.099** | 0.447** | 0.685** | ||||
| 0.729** | 1.014** | 0.285** | 0.391** | ||||
| 0.637** | 0.804** | 0.166** | 0.261** | ||||
| 0.673** | 0.689** | 0.016 | 0.024 | ||||
Note(s): Table 3 reports results from the Mishkin test that investigates the effect of stock liquidity on the extent to which investors overestimate the persistence of annual accruals. Et+1 is income before extraordinary items of fiscal year t scaled by average total assets of fiscal years t and t+1. ACCt is the sum of change in net non-cash current operating assets and change in net non-current operating assets from fiscal year t−1 to fiscal year t scaled by average total assets of fiscal year t−1 and t. CASHt is the difference between Et and ACCt. ARETt+1 is the abnormal annual stock return that cumulates over a 12-month period starting from the fourth month after the end of fiscal year t+1. We follow the characteristic-based portfolio matching procedure proposed in Daniel et al. (1997) to compute the abnormal annual stock return. **, * and † denote statistical significance at the 1%, 5% and 10% levels respectively, using a 2-tailed test
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