Synthetic Forward Positions

Options can be combined in all sorts of interesting ways in order to create synthetic assets. It all starts with the parity conditions.
What does "parity" really mean to you?
Exactly. Many parity conditions are assumed to hold. If they don't, arbitrage opportunities exist because parity conditions tell you what should be equal.
Not necessarily. It's a common market assumption.
That's not it. Parity relates to value.
For example, suppose you held a long stock position, and you wanted to limit the downside at a strike price $$X$$. What option contract might you purchase in order to do that?
Of course. That will limit the downside to just the strike price, $$X$$. Now look at the combined payoff:
No, a call option's value is focused on the upside. To limit downside risk, you would want to have a long put position. That will limit the downside to just the strike price, $$X$$. Now look at the combined payoff:
![](data:image/png;base64,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What sort of profit profile would approximate parity with this combination?
That's not it. The long put is already there. But when combined with a long stock, notice that the downside is eliminated.
Absolutely. The downside nets out, and you're just left with the upside. So the long stock ($$S_0$$) and long put ($$p_0$$) together are on parity with a long call ($$c_0$$), once you adjust for one more little thing: the long stock position requires cash now for $$X$$, so adding this in present value provides the parity condition you have seen before: > $$ S_0 + p_0 = c_0 + \frac{X}{(1+r)^T}$$.
Not really. A short call shows a loss at higher prices of the underlying. Neither of these provides such a loss.
Now you're in a good position to consider a forward contract, and even build one synthetically. What adjusted spot price would show parity with a forward price?
Not quite. This is the future spot price, but it is unknown. You'll need to use the current spot price.
Yes. Simply compound the spot price to time $$T$$, and you have the forward price, $$F_0(T)$$. That means you can also substitute out the spot price using this relationship for put–call-forward parity: > $$\displaystyle \frac{F_0(T)}{(1+r)^T} + p_0 = c_0 + \frac{X}{(1+r)^T}$$.
That's not it. There's no need to discount a spot price that's already in time 0.
Now, create the synthetic forward. You want to essentially have the gain or loss from price $$X$$ of this stock at time $$T$$. What option positions will you need?
That's right. Just as the equation suggests, you can rearrange the parity condition to get a synthetic forward for just a small premium difference: > $$\displaystyle \frac{F_0(T)}{(1+r)^T} - \frac{X}{(1+r)^T} = c_0 - p_0$$.
Not really; a short call will give you a loss if the stock gains. You want the same payoff as having the stock.
No, that will give you a short straddle, where you gain only if the price doesn't change much.
Logically, you get the upside from the long call, and the downside from the short put. How would you expect your payoffs to change if instead you added a short call and a long put?
No, there would certainly be opportunities for both gains and losses with this combination. Consider the payoff diagrams of each, or just rearrange the parity condition equation.
No, there wouldn't be. You could gain or lose with this combination. Consider the payoff diagrams of each, or just rearrange the parity condition equation.
Exactly! This long/short switch of each option contract just switches the long–short nature of the synthetic forward. You can see this by just moving everything in the parity equation to the other side. Synthetic forwards are convenient. You might want to put such an exposure in place without worrying about the cash layout. Market makers create these to hedge exposures when actual forward contracts need to be purchased or sold to satisfy clients.
To summarize: [[summary]]
Purchased together
Equal
Positive
A put option
A call option
A long call
A long put
A short call
$$ S_T $$
$$ S_0(1+r)^T $$
$$\displaystyle\frac{S_0}{(1+r)^T} $$
A long call and a short put
A short call and a long put
A short call and a short put
All payoffs would net to zero
It would create a synthetic short forward
There would be a guaranteed loss
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