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Hello Everyone,
I have excel file with below columns
Year | Returns |
2019 | 6.90% |
2020 | 0.70% |
2021 | 39.70% |
Below excel formula is has been used
FVSCHEDULE(1,B2:B4)^(1/3)-1
which return - 14.57%
How to create same DAX for the same
Regards
Solved! Go to Solution.
Hi @Abhilash_P ,
Please try:
Measure =
VAR _a =
ADDCOLUMNS ( 'Table', "R", [Returns] + 1 )
RETURN
POWER ( PRODUCTX ( _a, [R] ), 1 / COUNTROWS ( _a ) ) - 1
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Abhilash_P ,
Please try:
Measure =
VAR _a =
ADDCOLUMNS ( 'Table', "R", [Returns] + 1 )
RETURN
POWER ( PRODUCTX ( _a, [R] ), 1 / COUNTROWS ( _a ) ) - 1
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello @v-jianboli-msft ,
Thanks for the reply,
Below is my data set
PeerReturnsYear
Makena | -0.213 | 2009 |
TUCS > $5bn | -0.127 | 2009 |
KIC | 0.173 | 2009 |
CIC | 0.117 | 2009 |
70/30 | 0.261 | 2009 |
60/40 | 0.233 | 2009 |
Makena | 0.141 | 2010 |
TUCS > $5bn | 0.133 | 2010 |
KIC | 0.08 | 2010 |
70/30 | 0.108 | 2010 |
60/40 | 0.102 | 2010 |
Makena | 0.183 | 2011 |
TUCS > $5bn | 0.215 | 2011 |
KEVA | -0.017 | 2011 |
KIC | -0.042 | 2011 |
70/30 | -0.034 | 2011 |
60/40 | -0.021 | 2011 |
Makena | 0 | 2012 |
TUCS > $5bn | 0.017 | 2012 |
KEVA | 0.129 | 2012 |
KIC | 0.115 | 2012 |
CIC | 0.106 | 2012 |
70/30 | 0.126 | 2012 |
60/40 | 0.115 | 2012 |
Makena | 0.078 | 2013 |
TUCS > $5bn | 0.12 | 2013 |
KEVA | 0.075 | 2013 |
CIC | 0.093 | 2013 |
70/30 | 0.147 | 2013 |
60/40 | 0.121 | 2013 |
Makena | 0.149 | 2014 |
TUCS > $5bn | 0.17 | 2014 |
ABP | 0.145 | 2014 |
KEVA | 0.087 | 2014 |
70/30 | 0.031 | 2014 |
60/40 | 0.028 | 2014 |
Makena | 0.067 | 2015 |
TUCS > $5bn | 0.035 | 2015 |
ABP | 0.027 | 2015 |
KEVA | 0.048 | 2015 |
70/30 | -0.024 | 2015 |
60/40 | -0.025 | 2015 |
Makena | -0.02 | 2016 |
TUCS > $5bn | 0.012 | 2016 |
AIMCo | 0.058 | 2016 |
ABP | 0.095 | 2016 |
PGGM | 0.117 | 2016 |
KEVA | 0.074 | 2016 |
70/30 | 0.063 | 2016 |
60/40 | 0.057 | 2016 |
Makena | 0.107 | 2017 |
TUCS > $5bn | 0.126 | 2017 |
AIMCo | 0.093 | 2017 |
ABP | 0.076 | 2017 |
KEVA | 0.077 | 2017 |
70/30 | 0.188 | 2017 |
60/40 | 0.171 | 2017 |
Makena | 0.1 | 2018 |
TUCS > $5bn | 0.086 | 2018 |
AIMCo | 0.023 | 2018 |
ABP | -0.023 | 2018 |
KEVA | -0.03 | 2018 |
70/30 | -0.068 | 2018 |
60/40 | -0.06 | 2018 |
Makena | 0.035 | 2019 |
TUCS > $5bn | 0.065 | 2019 |
OMERS | 0.119 | 2019 |
AIMCo | 0.106 | 2019 |
ABP | 0.168 | 2019 |
PGGM | 0.187 | 2019 |
KEVA | 0.128 | 2019 |
70/30 | 0.205 | 2019 |
60/40 | 0.186 | 2019 |
Makena | 0.228 | 2020 |
TUCS > $5bn | 0.125 | 2020 |
OMERS | -0.027 | 2020 |
AIMCo | 0.025 | 2020 |
ABP | 0.062 | 2020 |
PGGM | 0.056 | 2020 |
KEVA | 0.047 | 2020 |
70/30 | 0.147 | 2020 |
60/40 | 0.14 | 2020 |
70/30 | 0.112 | 2021 |
60/40 | 0.088 | 2021 |
Top 5 endowments | -0.224 | 2009 |
70/30 | -0.202 | 2009 |
60/40 | -0.171 | 2009 |
Top 5 endowments | 0.12 | 2010 |
70/30 | 0.1 | 2010 |
60/40 | 0.093 | 2010 |
Top 5 endowments | 0.208 | 2011 |
70/30 | 0.241 | 2011 |
60/40 | 0.221 | 2011 |
Top 5 endowments | 0.031 | 2012 |
70/30 | -0.034 | 2012 |
60/40 | -0.025 | 2012 |
Top 5 endowments | 0.122 | 2013 |
70/30 | 0.107 | 2013 |
60/40 | 0.087 | 2013 |
Top 5 endowments | 0.181 | 2014 |
70/30 | 0.182 | 2014 |
60/40 | 0.166 | 2014 |
Top 5 endowments | 0.094 | 2015 |
70/30 | -0.016 | 2015 |
60/40 | -0.024 | 2015 |
Top 5 endowments | 0.002 | 2016 |
70/30 | 0.001 | 2016 |
60/40 | 0.014 | 2016 |
Top 5 endowments | 0.123 | 2017 |
70/30 | 0.121 | 2017 |
60/40 | 0.1 | 2017 |
Top 5 endowments | 0.124 | 2018 |
70/30 | 0.079 | 2018 |
60/40 | 0.07 | 2018 |
Top 5 endowments | 0.067 | 2019 |
70/30 | 0.061 | 2019 |
60/40 | 0.061 | 2019 |
Top 5 endowments | 0.062 | 2020 |
70/30 | 0.032 | 2020 |
60/40 | 0.034 | 2020 |
Top 5 endowments | 0.429 | 2021 |
70/30 | 0.274 | 2021 |
60/40 | 0.236 | 2021 |
Makena | 2009 | |
Makena | 2010 | |
Makena | 2011 | |
Makena | 2012 | |
Makena | 2013 | |
Makena | 2014 | |
Makena | 2015 | |
Makena | 2016 | |
Makena | 2017 | |
Makena | 2018 | |
Makena | 2019 | |
Makena | 2020 | |
Makena | 2021 | |
Council | 0.183 | 2009 |
Council | 0.15 | 2010 |
Council | 0.032 | 2011 |
Council | 0.106 | 2012 |
Council | 0.117 | 2013 |
Council | 0.098 | 2014 |
Council | 0.024 | 2015 |
Council | 0.13 | 2016 |
Council | 0.213 | 2017 |
Council | 0.002 | 2018 |
Council | 0.197 | 2019 |
Council | 0.216 | 2020 |
Council | 0.258 | 2021 |
Council | -0.194 | 2009 |
Council | 0.104 | 2010 |
Council | 0.248 | 2011 |
Council | -0.014 | 2012 |
Council | 0.075 | 2013 |
Council | 0.202 | 2014 |
Council | 0.065 | 2015 |
Council | 0.001 | 2016 |
Council | 0.17 | 2017 |
Council | 0.129 | 2018 |
Council | 0.069 | 2019 |
Council | 0.007 | 2020 |
Council | 0.397 | 2021 |
CDPQ | 0.1 | 2009 |
OTTP | 0.13 | 2009 |
ilmarinen | 0.158 | 2009 |
Norway | 0.256 | 2009 |
CDPQ | 0.136 | 2010 |
OTTP | 0.143 | 2010 |
ilmarinen | 0.108 | 2010 |
Norway | 0.096 | 2010 |
CIC | 0.117 | 2010 |
CDPQ | 0.04 | 2011 |
OTTP | 0.112 | 2011 |
ilmarinen | -0.04 | 2011 |
Norway | -0.025 | 2011 |
CIC | -0.043 | 2011 |
CDPQ | 0.096 | 2012 |
OTTP | 0.13 | 2012 |
ilmarinen | 0.075 | 2012 |
Norway | 0.13 | 2012 |
CDPQ | 0.131 | 2013 |
OTTP | 0.109 | 2013 |
ilmarinen | 0.098 | 2013 |
Norway | 0.159 | 2013 |
KIC | 0.089 | 2013 |
CDPQ | 0.12 | 2014 |
OTTP | 0.118 | 2014 |
ilmarinen | 0.068 | 2014 |
Norway | 0.076 | 2014 |
KIC | 0.038 | 2014 |
CIC | 0.055 | 2014 |
CDPQ | 0.091 | 2015 |
OTTP | 0.13 | 2015 |
ilmarinen | 0.06 | 2015 |
Norway | 0.027 | 2015 |
KIC | -0.032 | 2015 |
CIC | -0.03 | 2015 |
CDPQ | 0.076 | 2016 |
OTTP | 0.042 | 2016 |
ilmarinen | 0.048 | 2016 |
Norway | 0.069 | 2016 |
KIC | 0.042 | 2016 |
CIC | 0.062 | 2016 |
CDPQ | 0.093 | 2017 |
OTTP | 0.097 | 2017 |
ilmarinen | 0.072 | 2017 |
Norway | 0.137 | 2017 |
KIC | 0.163 | 2017 |
CIC | 0.059 | 2017 |
CDPQ | 0.042 | 2018 |
OTTP | 0.025 | 2018 |
ilmarinen | -0.014 | 2018 |
Norway | -0.061 | 2018 |
KIC | -0.038 | 2018 |
CIC | -0.024 | 2018 |
CDPQ | 0.104 | 2019 |
OTTP | 0.104 | 2019 |
ilmarinen | 0.118 | 2019 |
Norway | 0.2 | 2019 |
KIC | 0.152 | 2019 |
CIC | 0.174 | 2019 |
CDPQ | 0.077 | 2020 |
OTTP | 0.086 | 2020 |
ilmarinen | 0.071 | 2020 |
Norway | 0.109 | 2020 |
KIC | 0.135 | 2020 |
CIC | 2020 | |
CDPQ | 2021 | |
OTTP | 2021 | |
ilmarinen | 2021 | |
Norway | 2021 | |
KIC | 2021 | |
Yale | -0.246 | 2009 |
MIT | -0.171 | 2009 |
Harvard | -0.273 | 2009 |
Upenn | -0.157 | 2009 |
Stanford | -0.259 | 2009 |
Princeton | -0.235 | 2009 |
CalSTRS | -0.25 | 2009 |
Futures Fund | -0.042 | 2009 |
Yale | 0.089 | 2010 |
MIT | 0.102 | 2010 |
Harvard | 0.11 | 2010 |
Upenn | 0.126 | 2010 |
Stanford | 0.144 | 2010 |
Princeton | 0.147 | 2010 |
CalSTRS | 0.122 | 2010 |
Futures Fund | 0.106 | 2010 |
Yale | 0.219 | 2011 |
MIT | 0.179 | 2011 |
Harvard | 0.214 | 2011 |
Upenn | 0.19 | 2011 |
Stanford | 0.224 | 2011 |
Princeton | 0.219 | 2011 |
CalSTRS | 0.231 | 2011 |
Futures Fund | 0.128 | 2011 |
Yale | 0.047 | 2012 |
MIT | 0.08 | 2012 |
Harvard | -0.001 | 2012 |
Upenn | 0.016 | 2012 |
Stanford | 0.01 | 2012 |
Princeton | 0.031 | 2012 |
CalSTRS | 0.018 | 2012 |
Futures Fund | 0.021 | 2012 |
Yale | 0.125 | 2013 |
MIT | 0.111 | 2013 |
Harvard | 0.113 | 2013 |
Upenn | 0.144 | 2013 |
Stanford | 0.122 | 2013 |
Princeton | 0.117 | 2013 |
CalSTRS | 0.138 | 2013 |
Futures Fund | 0.154 | 2013 |
Yale | 0.202 | 2014 |
MIT | 0.192 | 2014 |
Harvard | 0.154 | 2014 |
Upenn | 0.175 | 2014 |
Stanford | 0.168 | 2014 |
Princeton | 0.196 | 2014 |
CalSTRS | 0.187 | 2014 |
Futures Fund | 0.143 | 2014 |
Yale | 0.115 | 2015 |
MIT | 0.132 | 2015 |
Harvard | 0.058 | 2015 |
Upenn | 0.074 | 2015 |
Stanford | 0.07 | 2015 |
Princeton | 0.115 | 2015 |
CalSTRS | 0.048 | 2015 |
Futures Fund | 0.154 | 2015 |
Yale | 0.034 | 2016 |
MIT | 0.008 | 2016 |
Harvard | -0.02 | 2016 |
Upenn | -0.014 | 2016 |
Stanford | -0.004 | 2016 |
Princeton | 0.008 | 2016 |
CalSTRS | 0.014 | 2016 |
Futures Fund | 0.048 | 2016 |
Yale | 0.113 | 2017 |
MIT | 0.143 | 2017 |
Harvard | 0.081 | 2017 |
Upenn | 0.143 | 2017 |
Stanford | 0.131 | 2017 |
Princeton | 0.125 | 2017 |
CalSTRS | 0.134 | 2017 |
Futures Fund | 0.087 | 2017 |
Yale | 0.123 | 2018 |
MIT | 0.135 | 2018 |
Harvard | 0.1 | 2018 |
Upenn | 0.129 | 2018 |
Stanford | 0.113 | 2018 |
Princeton | 0.142 | 2018 |
CalSTRS | 0.09 | 2018 |
Futures Fund | 0.093 | 2018 |
Yale | 0.057 | 2019 |
MIT | 0.088 | 2019 |
Harvard | 0.065 | 2019 |
Upenn | 0.065 | 2019 |
Stanford | 0.065 | 2019 |
Princeton | 0.062 | 2019 |
CalSTRS | 0.068 | 2019 |
Futures Fund | 0.115 | 2019 |
Yale | 0.068 | 2020 |
MIT | 0.083 | 2020 |
Harvard | 0.073 | 2020 |
Upenn | 0.034 | 2020 |
Stanford | 0.056 | 2020 |
Princeton | 0.056 | 2020 |
CalSTRS | 0.039 | 2020 |
Futures Fund | -0.009 | 2020 |
Yale | 0.402 | 2021 |
MIT | 0.555 | 2021 |
Harvard | 0.336 | 2021 |
Upenn | 0.411 | 2021 |
Stanford | 0.401 | 2021 |
Princeton | 0.469 | 2021 |
CalPERS | 2015 | |
CalPERS | 2016 | |
CalPERS | 2017 | |
CalPERS | 2018 | |
CalPERS | 2019 | |
CalPERS | 2020 | |
CalSTRS | 2021 | |
CalPERS | 2021 | |
Futures Fund | 2021 |
ther is year selection in the slicer if i selected 2022 it has to calcualte for previous 3 years (2022,2021,2020) dynamically.
Regards
Abhilash.P
Hi @Abhilash_P ,
I am afraid if dax having any function as FVSCHEDULE but it having FV function you can refer below url:-
https://docs.microsoft.com/en-us/dax/fv-function-dax
For more financial functions you can refer below url:-
https://docs.microsoft.com/en-us/dax/financial-functions-dax
Thanks,
Samarth
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
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@Samarth_18 Thanks for sharing no direct formulae available any indirect refrence (combination of 2 dax)..?