00:01
So to begin here, we know that there are three possible states.
00:05
We can have that the price of the stock is staying the same.
00:09
We can have that the price of the stock is rising or we can have the price of the stock falling.
00:19
We know that based on the information that we have, if it was rising, there is a 0 .2 chance of it or 0 .2 chance, 0 .2 probability or 20 % chance of it, of it, continue.
00:34
To rise so that returns to itself with probability 0 .2.
00:39
It has a 30 % chance or probability 0 .3 of falling and a 50 % chance of staying the same.
00:53
If the stock price falls one day, there's a 35 % chance of it rising tomorrow, 0 .35, 50 % chance of it falling, so 50 % chance of it returning to itself, and a a 15 % chance of the price of the stock staying the same.
01:12
0 .15.
01:15
And if the price is stable on one day, then it has a 50 -50 chance of either rising or falling.
01:23
So now we have this as a diagram.
01:28
To turn this into a markov chain, or to, oh, actually, i guess technically that is our markov chain, but i'll represent this as a transition matrix.
01:39
That is going to be the most immediately used.
01:42
Here.
01:43
So we have same rise, fall, is from, and then we have two, same rise, fall.
01:54
We know from same to same has probability zero.
01:59
From same to rise is 0 .5...