I was messing with the Black-Scholes equation (as one does for fun) and happened on another way to visually understand it.
A prerequisite for appreciating this angle is to be familiar with Black-Scholes in the first place. If you aren’t and would like an intuitive understanding of the equation check out:
⚡The Intuition Behind The Black Scholes Equation (Moontower)
This is a review of what you need from that post but if it’s still foggy you can go back to the whole post.
This is the B-S equation:
If you can replicate the cash flow of an asset with a strategy then the price of the asset should equal the cost of executing the strategy.
We can now say, on average, you will receive the present value of the strike weighted by its probability of being in the money.
Probability of strike being in-the-money = N(d2)
Again, this is just expected value logic. We weight the present value of the strike by its probability of being in the money.
Cash quantity = PV(strike) * N(d2)
This ends the review. The next section is new material. If this is still foggy zoom in on this part of the B-S primer: Animating The Equation
First, let’s ignore interest.
Remember:
N(d1) = delta
N(d2) = Probability stock (S) finishes > strike price (X)
Call = S * delta – X * P(ITM)
Here’s the logic to go with the picture:
You are replicating a long call option with a mix of shares and cash.
1. You will need to sell a zero-coupon bond at X * P(ITM) to buy the stock
Why that amount?
This is the expectancy or probability weighted cost of buying the stock at the strike. Remember, no-arbitrage replication pricing must be “self-financing”. We need the proceeds of the expected cost of the shares today so that becomes the face value of the zero-coupon bond we sell.
2. We will spend the proceeds of the zero-coupon bond to buy shares today. How many shares do we need to buy?
We must buy S * delta shares. So if the shares are $100 and the delta of the option is 30%, we need to buy $30 worth of stock.
However, there’s a problem.
We can’t afford that many shares with our current proceeds!
Why?
Because this is true:
X * P(ITM) < S * delta
Why is this true?
Because S * delta is the expectancy of the stock given it’s higher than the strike X. It’s the sumproduct of all stock prices above X weighted by their probabilities (ie integral of the PDF).
That quantity must be larger than X * P(ITM) which is the probability of the stock being above the strike times the [single point] strike X.
[Note: This idea is also captured in the fact that d1 > d2]
This shortfall in shares we can afford to buy with the proceeds of the zero-coupon bond sale is what the call option must be worth!
This is the essence of B-S. The call value is balancing price that equates the option to the cost of the replicating portfolio.
We got this:
Call = S * delta – X * P(ITM)
Let’s re-arrange this equation to be in terms of delta.
delta = [ Call + X * P(ITM) ] / S
in words:
delta = (Call + weighted strike) / S
We know delta is a hedge ratio between 0 and 1.
Observe:
We can simplify this even more by noticing that dividing by S is just normalizing by the stock price. In fact, if the stock price is $100 then this will be true:
delta x 100= Call + weighted strike
The 100 just gets in the way of the intuition and is safe to ignore for our purpose. It’s just a scalar. We can see that delta can be simply decomposed as:
delta = Call + weighted strike
This decomposition is more satisfying visually. But before the grand reveal let’s just be thorough and validate that this calculation of delta matches what my B-S calculator says (it does).
Let’s also remember what the chart of call delta by strike looks like:
Putting it all together:
Notice:
Overall, this post is grout in your options thinking. It helps make connections between various concepts by showing you them from a different angle.
If you use options to hedge or invest, check out the moontower.ai option trading analytics platform
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