Article

Managing Securities Financing Trades More Efficiently

Financial institutions use securities financing structures like securities lending to help control their balance sheets. However, managing these complex trades can be operationally challenging due to disjointed infrastructure and manual processes. Optimizing these financing trades is key for banks to efficiently manage liquidity, asset mix, and regulatory capital ratios. 

In response to these challenges, solutions are emerging to optimize the recall and substitution process for securities lending trades. These solutions aim to simplify trade management by providing a centralized platform for lenders and borrowers. They offer enhanced trade capture to define trade terms upfront, lifecycle management tools, and optimization engines to manage asset recalls and substitutions.

The goal is to streamline traditionally manual workflow across trade capture, inventory management, optimization rules, and integration. Key benefits include:

  • Improved efficiency by optimizing loan principal baskets and considering bilateral collateral baskets holistically
  • Automation of traditionally manual recall and substitution processes with defined optimization rules
  • Enhanced accuracy through standardized trade booking, audit trails, and integration with existing systems
  • Better balance sheet management by setting portfolio notional targets pre-optimization

 

By connecting existing bank systems through APIs, these solutions can embed optimized securities financing workflow. This has the potential to alleviate operational headaches for FRM desks and empower more proactive balance sheet management.

Ultimately, solutions that optimize the management of securities financing trades allow banks to become more agile and efficient. This supports improved liquidity, risk management, and financial stability.

To learn more about how Wematch can transform your US securities lending operations, go to wematch.live/us.

The views and opinions expressed are for informational and educational purposes only as of the time of the writing/production and may change at any time. The material may contain “forward-looking” information that is not purely historical in nature. Such information may include, among other things, projections, forecasts, estimates of market returns, and proposed or expected portfolio composition. All information has been obtained from sources believed to be reliable, but its accuracy is not guaranteed. There is no representation or warranty as to the current accuracy, reliability or completeness of, nor liability for, decisions based on such information and it should not be relied on as such.

 

 

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