Broker-Sourced Data for Pricing and Structuring Complex OTC Trades

Pricing and structuring an OTC trade often requires firms to form a view of a transaction for which directly comparable market activity may be limited.

Composite and evaluated prices provide consistent reference levels across broad instrument sets, while models support pricing where direct observations are sparse. However, a consolidated price or model output may not provide full visibility into the market information underpinning that level.

For traders and structurers, this can make it harder to assess how closely a pricing assumption aligns with prevailing market activity, particularly for complex structures or instruments outside the most liquid market points.

Broker-sourced data can help address this information gap by providing granular pricing grounded in real broker activity and, where available, observable evidence from orders and completed trades.

The Information Behind the Reference Price

A consolidated reference price offers an efficient and consistent view of the market. It can support pricing, comparison and valuation across instruments that may not trade continuously.

However, the level alone may not show:

• Which market observations contributed to it
• How aggregation, interpolation or modelling influenced the result
• How pricing varies across related instruments
• Where observable market activity is concentrated
• Whether available orders or trades support the reference view

This information can be particularly relevant when assessing a structure that draws on multiple points across a curve or volatility surface.

The challenge is not a lack of reference pricing. It is determining whether there is sufficient market evidence to support and contextualise how that reference level is being applied to a particular transaction.

Adding Granular Market Context

Broker-sourced pricing, such as Parameta’s indicative pricing, can provide a broader view of the market surrounding a proposed transaction. By examining pricing across related tenors, strikes, currencies and structures, practitioners can assess pricing relationships, compare neighbouring market points and better understand how a proposed trade fits within the wider market.

This additional context can help firms evaluate relevant curves or volatility surfaces, test assumptions around a reference level and assess how pricing varies across related instruments.

Where available, order and trade data can add further evidence of observable market activity. The distinction between these different types of information is important:

• Indicative pricing provides a market-informed reference but does not necessarily represent a firm executable level
• An indication of interest may reflect genuine buying or selling interest but is not necessarily firm
• An order can provide evidence of firm market interest at a particular point in time
• A trade records a completed transaction under a specific set of circumstances

These observations are not interchangeable and none automatically determines the price available for a new transaction. Instead, each provides a different form of evidence that can help practitioners assess the assumptions supporting a reference view.

Applying the Evidence to a Proposed Structure

A pricing model may show that a proposed structure is theoretically attractive. Broker-sourced data can help traders and structurers assess that structure against the shape and activity of the underlying market.

Granular market information can support practitioners as they:

• Compare pricing across related instruments
• Assess the relevant curves or volatility surfaces
• Test assumptions around a reference level
• Examine where observable activity is concentrated
• Evaluate alternative structures
• Investigate the market evidence supporting a price

Transaction size, complexity and available liquidity will still influence the level achievable for a particular trade. The relationship between these factors and execution is contextual and will vary by instrument and market conditions.

Broker-sourced data does not predict the price available for a specific transaction or provide a complete view of dealer positioning. Its value lies in strengthening the market evidence available to inform transaction-specific analysis and judgement.

Combining Complementary Sources

The solution is not to replace composite, evaluated or model-derived pricing with a single alternative source.

Each provides a different view of the market:

• Composite and evaluated data can deliver consistent reference pricing and broad coverage
• Models can support pricing where direct observations are limited
• Broker-sourced indicative data can provide granular pricing grounded in real broker activity
• Orders and trades can provide observable evidence of market interest and completed activity where available

Used together, these sources can help practitioners distinguish between a consistent reference view, the assumptions or methodologies embedded within it and the available market evidence supporting it.

This fuller evidence base can help traders and structurers test pricing assumptions, compare possible structures and approach the market with a more informed view.

Bringing Market Evidence into the Workflow

When pricing and structuring complex OTC trades, the challenge is not simply establishing a reference price. It is understanding the evidence behind that price and determining how it applies to the proposed transaction.

Parameta Solutions provides indicative pricing, trade and order data across global OTC markets. Indicative pricing offers broad and granular coverage grounded in real broker activity, while trade and order data provides additional evidence of observable market activity for relevant instruments and workflows.

Used alongside composite, evaluated and model-derived pricing, these datasets can bring greater market context to trade pricing and structuring decisions.

Request a data sample tailored to the asset classes and instruments relevant to your pricing and structuring workflows.