Skip to content
All library documents

Payoff Bounds for a Bull Call Spread

Article Quant Q&A · Author: M00000001

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.