Conversion and Reversal Option Arbitrage (CFA Level 1): Foundations of Put–Call Parity, Conversion Strategy, and How It Locks in Risk-Free Returns. Key definitions, formulas, and exam tips.
Picture this for a moment: You’re sitting on a trading desk, scanning the options chain, and you notice a curious discrepancy between the prices of calls, puts, and the underlying stock. You’ve read somewhere that if the relationship between calls, puts, and the underlying drifts away from the theoretical put–call parity, there might be a chance for risk-free profits. Does that actually happen in the real world? Sometimes, yes—though fleetingly—and this is exactly where two related strategies, known as conversions and reversals, come in.
At their core, conversion and reversal trades are all about exploiting mispricings in the options market. They hinge on put–call parity, a foundational concept in options pricing that states the value of a call, a put, and a position in the underlying asset must collectively align to avoid arbitrage. The moment they get out of line—even by a hair—arbitrageurs can come in to earn relatively risk-free profits, assuming transaction costs and margin requirements don’t demolish the trade’s viability.
This section walks you through the essence of conversions and reversals: how they work, why they theoretically produce risk-free returns, and how you might spot them in a trading environment. We’ll also talk about the pitfalls—because, let’s face it, no strategy is free from real-world frictions.
To really appreciate conversions and reversals, we need to revisit put–call parity. The standard put–call parity (for European options on a non-dividend-paying underlying) can be expressed as:
(1)
C - P = S - Ke^{-rT},
where:
This equation basically says that if you buy a call and short an equivalent put (i.e., same underlying, strike, and maturity), you create a synthetic forward position on the stock, whose fair value should match (S - Ke^{-rT}). If it doesn’t, some sharp-eyed trader can construct an arbitrage trade to lock in a profit.
In practice, you also consider dividends, carry costs, and discrete compounding. But the big-picture principle remains the same: calls, puts, and the underlying asset are interconnected puzzle pieces—any mismatch can be exploited.
When you think “conversion,” think about converting your options position into a synthetic long (or bond-like) position that collects a relatively certain payoff. The schematic is:
This can be a neat little strategy if the option premiums and the underlying’s price are misaligned in your favor. Essentially, the position has the same payoff as a zero-coupon bond or a forward contract at strike K—depending on perspective—because:
Here’s the gist: if the put is relatively cheap or the call is relatively expensive (or both), and the underlying is priced appropriately, you might receive more premium from selling the call than the cost of buying the put—potentially netting an upfront credit. Meanwhile, holding the underlying is offset by the obligation from the short call plus the protection of the long put. If all the numbers line up properly (and we ignore transaction costs), you end up with a guaranteed profit that is realized upon expiration or early exercise exercise (for American-style options).
Suppose you observe the following quotes for a stock currently trading at $100:
Now, if you put on a conversion, you would:
Net cash flow at initiation = -$100 (for the share) - $1 (for the put) + $3 (premium from call) = -$98.
At expiration (assuming no early exercises and ignoring time value of money for brevity):
In either scenario, you lock in $100 at settlement. Since you only tied up $98 initially (plus any applicable financing costs), you generate a $2 arbitrage profit if everything goes perfectly. This $2 is relatively risk-free if we assume zero transaction costs, no margin requirements, and no dividend payments on the stock. Of course, the real world is more complicated, but in an exam setting, this is the classic logic.
A reversal is basically the mirror image of a conversion. Instead of going long the underlying, you go short, and instead of buying a put, you write it. Instead of writing a call, you buy it. So, in bullet form, a reversal is:
If a stock and its options are priced in such a way that being short the underlying while collecting put premium and paying for the call results in a net credit exceeding the cost of carrying the short position over time, you can lock in a risk-free spread. This typically arises when the synthetic forward you create by buying the call and writing the put is overpriced relative to the actual forward or spot price of the underlying.
Using the same example but flipping it: if the call premium were inexplicably low or the put premium were inexplicably high, you might find that shorting the stock and writing the put while buying the call yields a positive net credit above the implied cost. If you can hold onto that difference through expiration, you’ve just made a near risk-free profit.
Both conversion and reversal strategies rely heavily on synthetic positions, which replicate the payoff of another asset (or set of assets). In put–call parity terms, going long a stock plus a put and short a call is the same as a long bond or forward, depending on the precise strike and maturity. Whenever synthetic and actual positions deviate in price, you seize that gap for a no-arbitrage gain.
Below is a brief Mermaid diagram illustrating how each leg of a conversion ties together:
flowchart LR
A["Buy Underlying"] -- Combined with --> B["Buy Put"]
B["Buy Put"] -- Combined with --> C["Write Call"]
C["Write Call"] --> D["Net Position = Synthetic Bond (Conversion)"]
In the same vein, for a reversal:
flowchart LR
E["Short Underlying"] -- Combined with --> F["Write Put"]
F["Write Put"] -- Combined with --> G["Buy Call"]
G["Buy Call"] --> H["Net Position = Synthetic Short Bond (Reversal)"]
In each arrangement, you end up with a forward-like payoff structure, harnessing put–call parity to weed out pricing inconsistencies.
You might be thinking: “This sounds too good to be true! Are markets really that inefficient?” Well, they’re typically not, at least not for long. Any potential conversion or reversal arbitrage is often eliminated within seconds by automated trading systems. But for educational and exam-oriented purposes, let’s see what might diminish your profit:
If these “frictions” are small enough and the mispricing is large enough, you can still capture a (nearly) risk-free gain. But in modern electronic markets, such opportunities are often arbitraged away quite fast.
Conversions are conceptually similar to a “collar,” which is simply a position where you buy the underlying, buy a put, and sell a call (often with different strikes). A standard collar aims to hedge downside risk (with the put) while giving up some upside potential (with the short call). In a perfectly priced market, a collar that’s constructed using the same strikes and maturities is essentially the same as a conversion (though the collar may involve different strikes if it’s a protective measure, not an arbitrage).
During my early days as a junior trader—I still recall the adrenaline rush—I once spotted what I thought was an arbitrage opportunity in a stock undergoing a corporate action. The call prices seemed oddly high compared to the puts. For a brief moment, left pocket for calls, right pocket for puts, the numbers seemed off enough to do a conversion. But by the time I confirmed the margin requirements and transaction costs, updated quotes came in, and the mispricing disappeared. That was the day I realized that while textbook arbitrage is straightforward in principle, the real-life window for action can be incredibly short. Still, the idea was too cool because it felt like genuine “free money.”
How do you check if a conversion or reversal is viable? A standard approach is:
If, after all costs are accounted for, you’d lock in a profit, you have an opportunity for a conversion or reversal.
In advanced equity derivatives desks, sophisticated models keep track of forward implied by each option pair (call–put with the same strike and maturity) and the actual cost of carry. Whenever the difference crosses a threshold that accounts for friction, the system automatically flags a possible arbitrage. Traders might step in manually or rely on algorithms to go for the perceived risk-free trade. However, frequent rehedging, early exercises, and dividends can muddy the waters.
Below is a final conceptual overview of the payoff diagrams for conversions and reversals (ignoring net cost credits or debits):
flowchart LR
X["Conversion Payoff:"] --> Y["Long Underlying <br/>+ Long Put <br/>- Short Call"]
Y["Long Underlying <br/>+ Long Put <br/>- Short Call"] --> Z["Low risk, locked strike payoff around K"]
A2["Reversal Payoff:"] --> B2["-Short Underlying <br/>- Short Put <br/>+ Long Call"]
B2["-Short Underlying <br/>- Short Put <br/>+ Long Call"] --> C2["Also locks a payoff near the strike"]
Both strategies aim to match some variant of a fixed payoff or synthetic forward at maturity, capitalizing on any mispricing along the way.
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