Payoff Bounds for a Bull Call Spread
Summary
The document examines the payoff bounds of a bull call spread, formed by buying a call at a lower strike and selling a call at a higher strike. It states that the spread’s terminal payoff cannot exceed the difference between the strikes, which also bounds its initial value after discounting. The accepted explanation establishes a second payoff bound: the payoff is no greater than the terminal stock price multiplied by the strike difference divided by the higher strike.
The argument checks three regions for the terminal stock price: below the lower strike, between the strikes, and at or above the higher strike. In each region, it compares the spread payoff with the proposed stock-price-based bound. The document raises separate questions about whether geometric Brownian motion is equivalent to a lognormal distribution and whether Itô’s lemma requires that assumption, but it provides no answers to them. The payoff inequalities are shown for a standard spread with positive strikes; the discussion does not address broader option-pricing assumptions or valuation beyond these bounds.
Key ideas
- A bull call spread buys a call at a lower strike and sells a call at a higher strike.
- Its terminal payoff is capped by the difference between the two strikes.
- The payoff is also bounded by terminal stock price times the strike difference divided by the higher strike.
- The second bound follows by checking the payoff separately across three terminal-price regions.
- The document raises, but does not resolve, questions about geometric Brownian motion and Itô’s lemma.
Tags
Full text
# Boundaries for Call Spread
# Boundaries for Call Spread
I'm reading an interview book called A Practical Guide to Quantitative Finance Interview and I have some doubts regarding part of its solution and highlighted them in bold:
Question:
What are the price boundaries for a bull call spread?
Solution:
A bull call spread is a portfolio with two options: long a call $c_1$ with strike $K_1$ and short a call $c_2$ with strike $K_2$ and $(K_1<K_2)$. The cash flow a bull spread is summarized in the attached screenshot.
Since $(K_1<K_2)$, the initial cash flow is negative. Considering that the final payoff is bounded by $K_2-K_1$, the price of the spread, $c_1-c_2$, is bounded by $e^{-rT}(K_2-K_1)$.
But it also says (here is where my doubt is), the payoff is also bounded by $\frac{(K_2-K_1)S(T)}{K_2}$, but why? Could anyone share some advice on it? Really appreciate it!
By the way, another two questions (might be a stupid one) that is not related to the above question:
Question A:
As we know, one assumption for Black Scholes equation is underlying asset follows geometric Brownian motion, but can we say it is equivalent to "underlying follows lognormal distribution"? In other words: geometric Brownian motion is equivalent to lognormal distribution
Question B
And in order to use Ito lemma for those products that are derivatives on underlying asset, we need to make sure the underlying asset follows geometric Brownian motion?
## Answer by Canardini (score 3, accepted)
https://quant.stackexchange.com/a/50122
If $S_T<K_1$, the payoff is zero, and we have $\frac{(K_2-K_1)S(T)}{K_2} \geq0$
If $K_1 \leq S_T<K_2$, the payoff is $(S_T -K_1)$. We have $$K_1K_2 \geq S_TK_1$$
and $$S_TK_2+K_1K_2 \geq S_TK_2+S_TK_1$$
Thus, $$S_TK_2-S_TK_1 \geq S_TK_2-K_1K_2$$
Finally, $$S_T(K_2-K_1) \geq (S_T-K_1)K_2$$ $$\frac{S_T(K_2-K_1)}{K_2} \geq (S_T-K_1)$$
If $S_T \geq K_2$,we have that $\frac{S_T}{K_2} \geq1$, and because the payoff is $K_2 -K_1$, therefore $K_2 -K_1 \leq (K_2 -K_1)\frac{S_T}{K_2}$Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.