All language subtitles for 6. Drawdown function application

Hi, everyone, and welcome in this new video.

In this video, we're going to plot a drag on growth and compute the maximum drawdown of Google stock

price.

So first, we just adapt the feature size.

To have a better visualization, and then we are going to plot the drawdown, but the drawdown is being

narrow, so it's necessary to use the thin between function and not the plot function.

First, we need the index, so we need to give the loan index, then we need the drawdown value, so

we put in for some things to have and now we are.

We need two time series.

So the first answer is is the drawdown, and the second is just the zero to have.

And there wasn't a line.

Then we need to put a condition to tell to Britain that where this condition is true, we're going to

display the room

and then.

I just do a copy paste of the column, which is read and we can apply and that fire, which will allow

us to have a little transparency on Oprah.

Then we can put that title.

Show the graph and put just also a little white label to we understand our broader.

As we can see, we have a better visualization of the than.

For example, we can see that the worst losses for Google is during the subprime crisis in 2008, for

example.

In the other time, we have a dual loan, none very high because we can see that if we put away the

2008 period, we have an average slowdown are five percent.

So now let me show you how to compute the maximum drawdown.

So it is very easy.

To do it, we used the mean function of Mumbai, and we put just in percentage and.

We plucked this number using F Street.

Actually, we just needed to put a minus here because all the value of the dollar are negative and the

maximum drawdown is.

A positive value, usually.