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Zen
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Compute variance Variance of athe future value of a cash flowsflow

I am tryingwant to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$$FV =A\sum_{k=1}^n(1+r)^k=:g(r)$,

Where we assume assuming interest rate $$ r \sim N(\mu,\sigma^2)$$

A is a$r\sim\mathrm{N}(\mu,\sigma^2)$ and constant.

Thanks

EDIT equal payments :

Following @Zen$A$. As discussed in the comments, we could approximatethe Delta Method gives an approximation $$\mathrm{Var}(FV)≈\sigma^2\times(g′(μ))^2.$$$\mathrm{Var}[FV]≈\sigma^2\times(g′(\mu))^2$. Is there a way to get an exact answer?

Compute variance of a future value of cash flows

I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

EDIT :

Following @Zen, we could approximate $$\mathrm{Var}(FV)≈\sigma^2\times(g′(μ))^2.$$

Variance of the future value of a cash flow

I want to compute the variance of $FV =A\sum_{k=1}^n(1+r)^k=:g(r)$, assuming interest rate $r\sim\mathrm{N}(\mu,\sigma^2)$ and constant equal payments $A$. As discussed in the comments, the Delta Method gives an approximation $\mathrm{Var}[FV]≈\sigma^2\times(g′(\mu))^2$. Is there a way to get an exact answer?

Post Reopened by whuber
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Zen
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I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

EDIT :

Following @Zen, we could approximate $$Var(FV)≈σ2×(g′(μ))^2.$$$$\mathrm{Var}(FV)≈\sigma^2\times(g′(μ))^2.$$

I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

EDIT :

Following @Zen, we could approximate $$Var(FV)≈σ2×(g′(μ))^2.$$

I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

EDIT :

Following @Zen, we could approximate $$\mathrm{Var}(FV)≈\sigma^2\times(g′(μ))^2.$$

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CCL
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I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

EDIT :

Following @Zen, we could approximate $$Var(FV)≈σ2×(g′(μ))^2.$$

I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

I am trying to compute, until now with no luck, the variance of $$ \sum_{y=1}^n{ A*(1+r)^{y} } $$ which is equivalent to

$\frac{(1+r)[(1+r)^{y}-1]}{r}*A$,

Where we assume $$ r \sim N(\mu,\sigma^2)$$

A is a constant.

Thanks

EDIT :

Following @Zen, we could approximate $$Var(FV)≈σ2×(g′(μ))^2.$$

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