I am doing some modelling and have some data:
Index XYZ 1
1994-02-01 -0.005128205 0.994871
1994-03-01 0.013089005 1.007893
1994-04-01 0.012224939 1.020215
1994-05-01 0.018518519 1.039107
1994-06-01 0.017817372 1.057622
1994-07-01 0.019438445 1.078180
1994-08-01 0.006741573 1.085449
1994-09-01 0.017582418 1.104534
1994-10-01 -0.004319654 1.099762
1994-11-01 0.004310345 1.104503
1994-12-01 0.002150538 1.106878
1995-01-01 0.006382979 1.113943
I am trying to calculate the total return of the above column vector without transforming it to an equity curve first. Is it correct to just add it up?
The sum of the return = 0.1088808, while the discrete and continuous returns are 0.113944 and 0.107907. Why is there this difference?
Thanks,
EDIT:
For the calculation, i simply used @Richard's equation.
Discrete = (1.113943 - 1) / 1 = 0.113944
Continuous = ln(1.113943/1) = 0.107907