00:01
Let nx be cumulative function for normal distribution and this value is given by nx is equal to integral minus infinity to x e to the power minus t square by 2 upon root 2 pi dt.
00:41
On putting limit extending to infinity nx we will get minus infinite to infinite e to the power minus t square by 2 upon root 2 pi dt and this will be equal to root 2 pi upon root 2 pi and this value will be equal to 1.
01:07
Now let us consider the first case here.
01:12
Case 1 when st is greater than k.
01:18
So on taking log here ln st by k will be greater than 0.
01:29
Now taking the function that is given in the question limit t tending to capital t log st by k plus r plus 1 upon 2 sigma square capital t minus t upon sigma square root of t minus t and that is equal to 0.
01:58
Now when t is tending to capital t then d1 will be tending to infinite.
02:05
Similarly when t is tending to capital t d2 will also tend to infinite.
02:13
Now since the function the cumulative function nx is continuous therefore when t is tending to infinity then when t is tending to capital t then nx will tend to infinite.
02:38
Now the value of ct will be st into 1 minus e raised to the power 0 k into 1 and this as as t will tend to capital t.
02:54
So from here we will get the value of ct as st minus k and given the condition that t is tending to capital.
03:06
In the second case we will take st equal to k.
03:15
Now log value st upon k will be equal to 0.
03:21
So the value of d1 will be given by d1 is equals to r plus 1 by 2 sigma square capital t minus t upon sigma root t minus t...