The overview represents results for last seven days for insider trading. The traders were tested with one-tailed statistical test. The test validate the distribution area for one value, the value is greater or less than the certain value. Testing the null hypothesis that the trading activities mean is equal to a specified value μ0 with following expression: t = (x-μ0)/(s/√n)
The overview we do one tailed tests. The goal is to identify if insider trading had statistical significance. If the inside tradings have statistical significance, then it could be mean, that the insider information advantage.
Example:
Person A BUY and SELL shares of one Company.
If A BUY a SHARE and in the following days the share price goes almost every time up.
If A SELL a SHARE and in the following days the share price goes almost every time down.
The hypothesis is then following: every time, when A do an action (BUY or SELL) then it has no significant influence on the expected value. Person A trades randomly and has no advantage information about the future price development.
Accept: Inside trader tradings are random
Reject: The tradings are are statistical significance Trader get positive trading for his actions.
| CIK | Name | Last trading symbol | Last trading date | Last action | t 1day | p 1day | T-Test | # | t 7day | p 7day | T-Test | # | t 14day | p 14day | T-Test | # | t 30day | pp 30day | T-Test | # |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1592539 | Schulz David S. | WCC | 2028-03-01 | SALE | 0.69 | 0.54 | Accept | 4 | 0.51 | 0.64 | Accept | 4 | 2.33 | 0.10 | Accept | 4 | 3.17 | 0.05 | Reject | 4 |