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How does this look ... general:

rich

markdown

Code:

```
library(dplyr)
library(ggplot2)
r_a <- .1; vol_a <- .1
r_b <- .16; vol_b <- .2
r_c <- .25; vol_c <- .4
rho_ab <- 0.3; rho_ac <- 0.2 ; rho_bc = 0.4; rf = 0.6
portfolio <- data.frame(w_a = seq(from = -.5, to = 1.5, by = .05))
portfolio <- portfolio %>% mutate(
w_b = 1 - w_a,
r_ab = w_a * r_a + (w_b * r_b),
variance_ab = (w_a * vol_a)^2 + (w_b * vol_b)^2 + 2*w_a*w_b*vol_a*vol_b*rho_ab,
vol_ab = sqrt(variance_ab),
w_c = 1 - w_a,
r_ac = w_a * r_a + (w_c * r_c),
variance_ac = (w_a * vol_a)^2 + (w_c * vol_c)^2 + 2*w_a*w_c*vol_a*vol_c*rho_ac,
vol_ac = sqrt(variance_ac)
)
```

Rich (BB code):

```
library(dplyr)
library(ggplot2)
r_a <- .1; vol_a <- .1
r_b <- .16; vol_b <- .2
r_c <- .25; vol_c <- .4
rho_ab <- 0.3; rho_ac <- 0.2 ; rho_bc = 0.4; rf = 0.6
portfolio <- data.frame(w_a = seq(from = -.5, to = 1.5, by = .05))
portfolio <- portfolio %>% mutate(
w_b = 1 - w_a,
r_ab = w_a * r_a + (w_b * r_b),
variance_ab = (w_a * vol_a)^2 + (w_b * vol_b)^2 + 2*w_a*w_b*vol_a*vol_b*rho_ab,
vol_ab = sqrt(variance_ab),
w_c = 1 - w_a,
r_ac = w_a * r_a + (w_c * r_c),
variance_ac = (w_a * vol_a)^2 + (w_c * vol_c)^2 + 2*w_a*w_c*vol_a*vol_c*rho_ac,
vol_ac = sqrt(variance_ac)
)
```

Markdown (GitHub flavored):

```
library(dplyr)
library(ggplot2)
r_a <- .1; vol_a <- .1
r_b <- .16; vol_b <- .2
r_c <- .25; vol_c <- .4
rho_ab <- 0.3; rho_ac <- 0.2 ; rho_bc = 0.4; rf = 0.6
portfolio <- data.frame(w_a = seq(from = -.5, to = 1.5, by = .05))
portfolio <- portfolio %>% mutate(
w_b = 1 - w_a,
r_ab = w_a * r_a + (w_b * r_b),
variance_ab = (w_a * vol_a)^2 + (w_b * vol_b)^2 + 2*w_a*w_b*vol_a*vol_b*rho_ab,
vol_ab = sqrt(variance_ab),
w_c = 1 - w_a,
r_ac = w_a * r_a + (w_c * r_c),
variance_ac = (w_a * vol_a)^2 + (w_c * vol_c)^2 + 2*w_a*w_c*vol_a*vol_c*rho_ac,
vol_ac = sqrt(variance_ac)
)
```

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