Power BI - weighted average yield across 2 tables of a given date - powerbi

Question

I would like to calculate average yield between two relation tables of a given date
Table1 Table2
+-------------------------------+ +-------------------------------+
| ID TradeDate Amount | | ID TradeDate Yield |
+-------------------------------+ +-------------------------------+
| 1 2018/11/30 100 | | 1 2018/11/8 2.2% |
| 1 2018/11/8 101 | | 1 2018/8/8 2.1% |
| 1 2018/10/31 102 | | 1 2018/5/8 2.0% |
| 1 2018/9/30 103 | | 2 2018/9/8 1.7% |
| 2 2018/11/30 200 | | 2 2018/6/8 1.6% |
| 2 2018/10/31 203 | | 2 2018/3/8 1.5% |
| 2 2018/9/30 205 | | 3 2018/10/20 1.7% |
| 3 2018/11/30 300 | | 3 2018/7/20 1.6% |
| 3 2018/10/31 300 | | 3 2018/4/20 1.6% |
| 3 2018/9/30 300 | +-------------------------------+
+-------------------------------+
I create a table named 'DateList' and use slicer to select a specified date.
Screen Shot DateList.
I want to achieve the following result:
as of *11/9/2018*
+-----------------------------------------------------------------+
| ID LastDate Value LatestYieldDate LastYield |
+-----------------------------------------------------------------+
| 1 2018/11/8 101 2018/11/8 2.2% |
| 2 2018/10/31 203 2018/9/8 1.7% |
| 3 2018/10/31 300 2018/10/20 1.7% |
+-----------------------------------------------------------------+
| Total 604 1.7836% |
+-----------------------------------------------------------------+
Currently, I use the following formula to achieve the partial result
Create 2 measures in table1
LastDate =
VAR SlicerDate = MIN(DateList[Date])
VAR MinDiff =
MINX(FILTER(ALL(Table1),Table1[ID] IN VALUES(Table1[ID])),
ABS(SlicerDate - Table1[TradeDate]))
RETURN
MINX(FILTER(ALL(Table1),Table1[ID] IN VALUES(Table1[ID])
&& ABS(SlicerDate - Table1[TradeDate]) = MinDiff),
Table1[TradeDate])
Value = CALCULATE(SUM(Table1[Amount]), FILTER(Table1, Table1[TradeDate] = [LastDate]))
Create 2 measures in table2
LastYieldDate =
VAR SlicerDate = MIN(DateList[Date])
VAR MinDiff =
MINX(FILTER(ALL(Table2),Table2[ID] IN VALUES(Table2[ID])),
ABS(SlicerDate - Table2[TradeDate]))
RETURN
MINX(FILTER(ALL(Table2),Table2[ID] IN VALUES(Table2[ID])
&& ABS(SlicerDate - Table2[TradeDate]) = MinDiff),
Table2[TradeDate])
LastYield = CALCULATE(SUM(Table2[Yield]), FILTER(Table2,
Table2[TradeDate] = [LastYieldDate]))
I have no idea to calculate right average yield between 2 tables
Here is my current result.
Screen Shot Current Result.

Answer 1

You'll first need to create a bridge table for the ID values so you can work with both tables more easily.
IDList = VALUES(Table1[ID])
Now we'll use IDList[ID] on our visual instead of the ID from one of the other tables.
The measure we use for the average last yield is a basic sum-product average:
LastYieldAvg =
DIVIDE(
SUMX(IDList, [Value] * [LastYield]),
SUMX(IDList, [Value])
)
Note that when there is only a single ID value, it simplifies to
[Value] * [LastYield] / [Value] = [LastYield]