Managing Risks Associated with Settlement of Foreign Exchange Transactions

The foreign exchange market has made significant strides in reducing the risks associated with the settlement of FX transactions. Substantial FX settlement-related risks remain, however, not least because of the rapid growth in the FX trading.

BIS has released supervisory guidance for managing risks associated with the settlement of foreign exchange transactions. It provides a comprehensive and detailed view on governance arrangements and the management of principal risk, replacement cost risk and all other FX settlement-related risks. In addition, it promotes the use of payment-versus-payment arrangements, where practicable, to reduce principal risk.

The guidance is organised into seven "guidelines" that address governance, principal risk, replacement cost risk, liquidity risk, operational risk, legal risk, and capital for FX transactions. The key recommendations emphasise the following:

  • A bank should ensure that all FX settlement-related risks are effectively managed and that its practices are consistent with those used for managing other counterparty exposures of similar size and duration.
  • A bank should reduce its principal risk as much as practicable by settling FX transactions through the use of FMIs that provide PVP arrangements. Where PVP settlement is not practicable, a bank should properly identify, measure, control and reduce the size and duration of its remaining principal risk.
  • A bank should ensure that when analysing capital needs, all FX settlement-related risks should be considered, including principal risk and replacement cost risk and that sufficient capital is held against these potential exposures, as appropriate.

Download PDF - Supervisory guidance for managing risks associated with the settlement of foreign exchange transactions

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.