For those interested in these sorts of (smaller) things, one can predict the monthly MOT distribution by subtracting a particular day's NTA from the previous month's ex-div day NTA. Then, divide the difference by the number of days since ex-div and then multiply that value by the number of days in the month.You get decent accuracy pretty early in the month. Perhaps with more work (and more data across months), a more precise algorithm could be generated, if systematic patterns emerged during the month.
Predicted December 2022 Distribution:
By November 3rd NTA: .0140
By November 7th NTA: .0137
By November 21st NTA: .0133
Announced distribution: .0312
Calculations:
October 31st NTA: 2.1184
October 3rd NTA: 2.1198
Difference: .0014
Predicted distribution: .0140 (i.e., .0014/3*30)
October 31st NTA: 2.1184
October 7th NTA: 2.1216
Difference: .0032
Predicted distribution: .0137 (i.e., .0032/7*30)
October 31st NTA: 2.1184
November 21st NTA: 2.1277
Difference: .0093
Predicted distribution .0133 (i.e., .0093/21*30)
Announced December 2022 distribution: .0132
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For those interested in these sorts of (smaller) things, one can...
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$2.20 |
Change
0.010(0.46%) |
Mkt cap ! $728.8M |
Open | High | Low | Value | Volume |
$2.20 | $2.21 | $2.19 | $1.211M | 549.8K |
Buyers (Bids)
No. | Vol. | Price($) |
---|---|---|
4 | 54659 | $2.20 |
Sellers (Offers)
Price($) | Vol. | No. |
---|---|---|
$2.21 | 151415 | 5 |
View Market Depth
No. | Vol. | Price($) |
---|---|---|
4 | 54659 | 2.200 |
9 | 91678 | 2.190 |
7 | 118729 | 2.180 |
3 | 9608 | 2.170 |
2 | 29600 | 2.160 |
Price($) | Vol. | No. |
---|---|---|
2.210 | 151415 | 5 |
2.220 | 686299 | 17 |
2.230 | 209201 | 7 |
2.240 | 235608 | 7 |
2.250 | 28739 | 2 |
Last trade - 16.10pm 26/06/2024 (20 minute delay) ? |
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