Why FX trade execution matters as much as hedging
Overview
With the basics of the FX market established, the next question for corporates is not whether to trade, but how best to trade. Because FX is an over-the-counter market, there is no single exchange or universal price. Instead, corporates must choose among different trading methods — from single-bank voice trading to multi-bank electronic platforms, algorithmic execution, and benchmark fixing services.
Each method carries different implications for transparency, competitiveness, and cost. Understanding these OTC best practices is essential, because the way a trade is executed can often matter as much as the hedge itself. And this naturally leads to the question: how can treasurers measure the effectiveness of these choices? The answer lies in transaction cost analysis.
OTC best practices in FX trading
The foreign exchange market is an over-the-counter (OTC) market, meaning there is no central exchange or single market price. Instead, corporates trade directly with banks or through electronic platforms.
While this flexibility gives treasurers many options for execution, it also creates wide differences in pricing, transparency, and cost. Choosing the right execution method can make a meaningful impact on overall hedge effectiveness and transaction costs.
Execution methods
Single-bank trading (Voice or Electronic Chat)
Traditional and relationship-driven, but generally the least competitive. Spreads are set entirely by the relationship bank, and limited transparency makes it difficult to know whether pricing reflects true market levels. While it is important for maintaining credit lines and banking relationships, this method often results in the highest transaction costs.
Multi-bank Electronic Communication Networks (ECNs)
These platforms allow treasurers to access quotes from multiple banks simultaneously. Execution quality depends on setup—a single-bank stream offers convenience, but multi-bank streams typically deliver tighter spreads by introducing competition.
Corporates also face the choice of one-sided requests (less desirable, since the dealer can infer intent and widen the spread) versus two-sided requests (best practice, as it fosters true competition and transparency).
Algorithmic execution
FX execution algorithms (often called “algos”) allow treasurers to trade larger tickets more efficiently by slicing orders into smaller pieces and executing them across venues over time. Algorithms aim to reduce market impact, minimize signaling risk, and achieve an average price close to benchmark rates.
For corporates, algos are particularly useful for large hedges or portfolio trades where immediate execution would move the market. However, they introduce new considerations: selecting the right algo strategy (e.g., time-weighted average price, volume-weighted average price), monitoring performance, and understanding additional fees charged by banks.
Benchmark execution
Many corporates use benchmark rates, such as the WM/Refinitiv 4 p.m. London fix, to standardize execution and simplify valuation. This method outsources timing and pricing decisions to an independent benchmark, ensuring trades are executed against a transparent, widely accepted rate.
Benchmark execution is straightforward and often required by accounting or compliance policies. However, corporates should be aware that executing against a fix concentrates liquidity into a narrow window, which can increase volatility and spread costs. Banks also charge for providing benchmark access, meaning costs may be higher than standard spot execution—though offset by the governance benefits of transparency and limiting tracking error.
Why execution method matters
The choice of trading method is not trivial. A hedge that reduces earnings volatility may still be unnecessarily costly if execution practices are suboptimal. Even a few basis points per trade, when multiplied across hundreds of transactions per year, can add up to millions in avoidable costs.
For corporates, the trade-off is not just about spreads, but also about maintaining strong bank relationships, accessing liquidity, and meeting governance expectations for competitive execution.
Conclusion
With multiple execution methods available, treasurers face a critical question: which approach works best for our firm? Without data, execution choices are often based on habit, preference, or assumptions.
This is where transaction cost analysis (TCA) becomes indispensable. By measuring the effectiveness of different execution methods against objective market data, TCA allows treasurers to uncover hidden costs, validate their trading choices, and demonstrate value to boards and CFOs.
