Timeline for Variance of the future value of a cash flow
Current License: CC BY-SA 3.0
13 events
when toggle format | what | by | license | comment | |
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Jun 9, 2015 at 3:19 | history | edited | Zen | CC BY-SA 3.0 |
deleted 39 characters in body; edited title
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Jun 8, 2015 at 21:45 | answer | added | whuber♦ | timeline score: 4 | |
Jun 8, 2015 at 16:32 | history | reopened | whuber♦ | ||
Jun 8, 2015 at 14:58 | history | edited | Zen | CC BY-SA 3.0 |
added 20 characters in body
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Jun 8, 2015 at 14:19 | review | Reopen votes | |||
Jun 8, 2015 at 16:32 | |||||
Jun 8, 2015 at 13:59 | history | edited | CCL | CC BY-SA 3.0 |
added 77 characters in body
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Jun 8, 2015 at 13:52 | comment | added | CCL | Way better !! Inputs : pension of € 3000/month during 240 months, starting at now+40 years Output (P(X<=x)=20%, P(X<=x)=50%, P(X>=x)=20%) : Formula : € 2,506,743.83 € 2,513,886.71 € 2,521,029.58 MonteCarlo : € 2,506,550.77 € 2,519,574.13 € 2,532,597.50 Thanks, I'm going to edit my answer with your formula | |
Jun 7, 2015 at 11:46 | comment | added | CCL | Thank you @Zen for the formula. I compared the distribution with $$ Var(FV)≈\sigma^2×(g′(μ))2. $$ and with a monte carlo simulation. The spread is way smaller with the approximation, so I guess there's a tradeoff between accuracy and speed. | |
Jun 6, 2015 at 23:39 | comment | added | Glen_b | Why is the (random) interest the same in every period? Do you really mean for the daily return - not it's distribution, but its actual realized value - to be exactly the same for day 1 and day 2 and day 3? If not, you need a different symbol for each day ($r_1,r_2,r_3,...$) | |
Jun 6, 2015 at 17:10 | history | closed |
Andy Stephan Kolassa Silverfish Nick Cox John |
Not suitable for this site | |
Jun 6, 2015 at 13:25 | review | Close votes | |||
Jun 6, 2015 at 17:10 | |||||
Jun 6, 2015 at 13:04 | review | First posts | |||
Jun 6, 2015 at 13:04 | |||||
Jun 6, 2015 at 13:02 | history | asked | CCL | CC BY-SA 3.0 |