馃攳
Implied volatility | Finance & Capital Markets | Khan Academy - YouTube
Channel: Khan Academy
[0]
Voiceover: In the last video,
we already got an overview
[3]
that if you give me a stock price,
[5]
and an exercise price,
[8]
and a risk-free interest rate,
[11]
and a time to expiration
[14]
and the volatility or
the standard deviation
[19]
of the log returns,
[21]
if you give me these six things,
[26]
I can put these into the
Black-Scholes Formula,
[36]
so Black-Scholes Formula,
[38]
and I will output for
you the appropriate price
[44]
for this European call option.
[48]
So it sounds all very straightforward,
[50]
and some of this is straightforward.
[52]
The stock price is easy to look up.
[55]
The exercise price,
[56]
well, that's part of the contract.
[57]
You know that.
[58]
The risk-free interest rate,
[59]
there are good proxies for it,
[61]
money market funds,
[64]
there's government debt, things like that,
[66]
so that's pretty easy to figure out,
[67]
or at least approximate.
[69]
The time to expiration,
[71]
well you know that,
[72]
you know what today's date is.
[73]
You know when this
thing's going to expire,
[75]
so that's pretty straightforward.
[77]
Now let's think a little
bit about volatility,
[79]
so how do you actually
measure the standard deviation
[82]
of log returns.
[83]
Now, one of the assumption
about Black-Scholes Formula
[86]
is that this is a constant thing.
[87]
This is just some intrinsic
propety of this security.
[91]
Well, the only way that
you can at least attempt
[93]
to estimate it is by
looking at the history
[96]
of the standard deviation of log returns.
[99]
The way that people
would normally do it is
[101]
they'll say, "Okay, what
has historically been
[104]
"the standard deviation of log
returns over some time period
[106]
"where that security has not
changed in some dramatic way?"
[109]
And then use that as the input,
[111]
and then they would
come up with some price.
[114]
Well, that's all interesting,
but it's very important to know
[117]
that this is an estimate.
[118]
This right over here is an estimate.
[120]
There's no way of us actually
knowing the actual intrinsic
[123]
and it's even up for
grabs whether there is,
[125]
whether you can even as assume
[127]
that there's some constant
intrinsic property
[129]
as this volatility that's
going to be constant
[132]
over the life of this option.
[133]
So this is just an estimate.
It's important to know that.
[136]
But what is interesting is that
these things are being traded.
[139]
These call options are being
traded all of the time,
[143]
and so you could actually look
up the price of this call option.
[146]
You could look up a call
option with this stock price,
[149]
this exercise price.
[150]
You know what these two things are,
[151]
and you could say, "Hey, look.
This traded for $3 just now."
[155]
So you actually can
figure out what this is,
[158]
which raises a very, very
interesting question.
[161]
If you know exactly what this is
[163]
because you know what the
market is pricing this at,
[166]
so let me write this.
[167]
You know what the market
believes this price should be,
[171]
so the market belief,
[175]
and it's based on their
actual transcations,
[177]
so it's based on transactions.
[178]
This is what the market is
saying the correct price is.
[181]
You can figure that out,
you can just look that up.
[183]
You can figure out all
of this other stuff.
[185]
Can you then take this
output plus all of these
[189]
to work backwards through
Black-Scholes to figure out
[192]
what the market is guessing about this,
[195]
or what the market is
estimating about that.
[198]
The answer is yes.
[200]
This is where this whole idea
[203]
about when people talk
about what is the volatility
[206]
in the market, or even where
are carton volatility rates,
[209]
or even what does the market
expect volatility to be?
[212]
How do we know what the market
expects volatility to be?
[215]
Well, we can look at what
markets are trading options at.
[219]
We could look at all of
this other information
[221]
that would be inputted into
Black-Scholes equation,
[223]
and we can say, "Hey,
look. Based on the fact
[224]
"that the market is
paying $5 for this option,
[227]
"and all of these other variables,
[229]
"they must assume that the
standard deviation of log returns
[232]
"for this security is now this."
[234]
Now, let's say that
things get really scary.
[236]
The market becomes a
lot dicier and choppier.
[239]
Well then, people are gonna
pay more for this option.
[241]
It's gonna drive the
implied volatility up.
[245]
So when you hear people talk
about implied volatility,
[248]
or implied vol, and there are even people
[250]
who will actually trade
on implied volatility,
[256]
This is what they're talking about.
[258]
They're saying, "Look. Options
are trading all the time."
[261]
Can we use that price, the market belief
[263]
of what those prices should be,
[265]
and then work backwards
through Black-Scholes
[268]
to figure out, because we
know these are all facts.
[270]
We can look these things up,
[272]
but based on what the market
is trading these options at,
[275]
can we figure out what
the implied volatility,
[278]
what the implied market
belief about volatility
[282]
for that security is,
[284]
and then we can actually aggregate it
[285]
across many, many securities,
[286]
and come up with an implied volatility
[288]
for given markets at a time.
[291]
So it's a very, very,
very interesting idea,
[294]
but in some levels, it's
kind of a basic one.
[296]
You're just working backwards
through Black-Scholes.
Most Recent Videos:
You can go back to the homepage right here: Homepage





