Cross-exchange settlement times shape the practical limits of crypto arbitrage by converting theoretical price differences into risky, time-dependent opportunities. Research by Igor Makarov and Antoinette Schoar with Antoinette Schoar at MIT Sloan School of Management documents persistent cross-exchange price dispersion and links it to frictions such as transfer delays and withdrawal costs. In plain terms, the longer it takes to move assets between venues, the greater the execution and funding risk arbitrageurs face, reducing profitable trades.
How settlement latency creates risk
Settlement latency arises from on-chain confirmation times, exchange processing queues, and regulatory checks. Bitcoin block times average about ten minutes and Ethereum block times average about a dozen seconds, but confirmation depth requirements and network congestion can multiply effective delays. During that wait price gaps can close or widen, exposing arbitrageurs to adverse price moves on the side left unhedged. Exchange-level constraints such as withdrawal limits, manual review for Know Your Customer compliance, and differing custody practices add unpredictable delays that further erode returns. Makarov and Schoar show that these frictions materially reduce the frequency and profitability of pure cross-exchange arbitrage.
Market and territorial implications
The consequences extend beyond individual traders. Market efficiency suffers when simple arbitrage cannot be executed quickly: prices across exchanges can deviate for hours or longer, increasing basis risk for institutional participants. Jurisdictional differences amplify effects. Exchanges in regions with strict capital controls or slower banking rails impose longer fiat settlement times, making crypto-to-fiat arbitrage especially difficult across borders. Cultural trading patterns and local demand spikes can create recurring regional premia that persist because settlement frictions block rapid correction.
Environmental and operational factors matter as well. On-chain settlement in proof-of-work systems consumes energy and can be throttled by miners prioritizing higher fees, while proof-of-stake architectures shift latency drivers toward network propagation and validator scheduling. These technical differences change the cost calculus for arbitrageurs choosing on-chain versus exchange-to-exchange transfers.
In practice, successful arbitrage strategies compensate for settlement time by holding inventory on multiple exchanges, using stablecoins or off-exchange credit lines, or employing derivatives to hedge interim exposure. Each solution carries capital, counterparty, and regulatory costs that reflect the real-world constraints Makarov and Schoar identify. The result is a market where theoretical arbitrage is often constrained by time, jurisdiction, and infrastructure rather than by simple price discovery alone.