Competition is transforming structured products hedging. Post-trade is the bottleneck.
Global structured product issuance has more than doubled in the last 5 years and now exceeds US $1.4 trillion, driven by rising demand for customised investment outcomes and growing global private wealth. Each note generates an exotic OTC derivative to hedge it, including auto callables and accumulators, with contracts involving hundreds of separate events and trade mechanics.
The market structure is also changing. Non-bank liquidity providers are now building equity derivatives hedging capabilities, encouraged by market growth and by capital constraints that have made exotic risk warehousing more expensive for banks.
More competition is tightening pricing. But each new hedging relationship creates another bilateral contract to match, confirm and maintain. Post-trade infrastructure has not evolved at the same pace.
A fixed-cost barrier to competition
Unlike structured notes, where the issuer maintains the reference record, OTC derivatives are bilateral contracts: each counterparty holds its own representation of the transaction, with no shared golden source, creating scope for discrepancies throughout the trade's life.
Established dealers have spent decades building the scaffolding requiring to manage this complexity: specialist operations teams, documentation libraries, bilateral relationships and legal precedent.
New entrants are technology-driven principal trading firms for which each long-form confirmation negotiated by hand adds unwanted headcount; every matching break diverts capacity from risk-taking. For issuers, each additional counterparty creates another set of bilateral records to reconcile. The manual status quo acts as a fixed-cost barrier to entry.
Where the infrastructure breaks
Matching the trade: The flexibility that makes these products valuable also makes them difficult to process. Bespoke payoff structures – auto callable features, knock events, worst-of provisions, and underlying instruments – may be represented differently in each firm's systems. These differences create matching breaks, confirmation delays and manual investigations involving operations, trading desks and legal teams, with some disputes remaining open for days or weeks, leaving firms exposed to market, operational and legal risk. AI can help classify discrepancies and recommend resolutions, but only when applied to complete, structured trade data.
Managing events: Exotic derivatives also generate a rich set of lifecycle events: barrier observations, option exercises, resets and corporate actions. If the counterparties’ records diverge after an event, future cashflow and event processing will also diverge, sometimes becoming visible only when a payment fails.
Legal confirmations: Long-form confirmations common for exotic OTC derivatives can span dozens of pages, covering valuation methodologies, disruption events, calculation agents and other negotiated provisions. Drafts circulate as PDFs, differences are reviewed manually, and non-standard language makes automated comparison difficult. This sits uneasily with regulatory expectations for timely confirmation under EMIR and CFTC swap rules.
What a scalable model requires
Existing confirmation and matching rails were built for standardised, high-volume products. As a result, operation steams at dealers and non-bank liquidity providers still rely on PDFs, emails and manual controls for exotic derivatives.
Recent industry initiatives are beginning to address these limitations. The Common Domain Model (CDM), initially developed by ISDA, provides a standard, modular framework for representing complex transactions throughout their lifecycle, which was previously missing. A common standard alone, however, is not sufficient.
A scalable model must capture the full range of economic terms, legal provisions and lifecycle events, even when information is dispersed across trading platforms, OMSs, confirmation systems and unstructured documents. It must compare counterparties’ records across all relevant data points, surfacing every discrepancy rather than only a selected subset of fields. It must also allow both sides to participate without rebuilding their internal systems.
For non-bank entrants in particular, digital matching is not enough: they need end-to-end post-trade execution based on a complete, validated contract record. That record can support automated lifecycle processing, targeted AI assistance and stronger controls.
The stakes
The entry of non-bank liquidity providers into structured products hedging should benefit issuers and investors through greater capacity and sharper competition. But that competition runs on bilateral plumbing designed for a smaller, slower market. The next constraint on growth may be whether post-trade infrastructure for exotics catches up.
The solution
Delta Capita’s Elaris platform provides a full end to end post trade solution using ISDA CDM and blockchain to digitise and automate trade matching, confirmation and management of lifecycle events. Elaris processes a broad range of exotic derivatives, including autocalls, accumulators, and other bespoke structures, automatically matches trades and events between counterparties, formalises the agreement through legally binding paperless confirmations, automates lifecycle event calculation and processing through smart contracts, and records data on a distributed ledger, providing a secure, immutable audit trail. Get in touch to find out more.
.jpg)
.jpg)
.jpg)
.jpg)