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ISLA MANIFESTO 2024
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            4. Better Data for Greater Stability


            ISLA has long supported the push by global and EU   Over the years, ISLA has maintained a log of
            policy makers for more transparency in the securities   outstanding issues and challenges related to SFTR’s
            financing market and proactively led the charge for the   reporting obligations, that have been shared with the
            industry to adopt and create best practices with regards   EU regulator. We welcome the opportunity to build
            to the Securities Financing Transaction Regulation   out the framework to address these challenges, to
            (SFTR) since long before the go-live in 2020.       allow policy makers to have accurate data surrounding
            ISLA fully supports Europe’s goals to ensure that SFTs   securities lending and borrowing activity.
            are conducted in a safe and sound manner to help    Although minimum haircuts for SFTs as part of the Basel
            protect from risks that exist, particularly outside of the   III framework have generally not been implemented
            traditional banking system. We therefore welcome the   in several jurisdictions to date, we anticipate that
            news of an upcoming consultation on SFTR announced   they will be considered in the near future. Under the
            as part of the European Commission’s report on a    international Basel framework, non-centrally cleared
            macroprudential framework for Non-Banking Financial   SFTs with non-banks as well as collateral upgrade
            Intermediaries (NBFI) as well as the full review of the   transactions will be captured under this framework.
            SFTR reporting regime by the next Commission. ISLA   Although there is general acknowledgement that some                  Recommendations
            supports the Commission’s desire to make the regime   SFTs may be used to take on leverage which may pose
            fit for purpose, to help regulators to identify risk   risks to financial stability, not all SFTs are entered             While SFTR has increased transparency in SFT activity, assessing its full impact on ‘shadow banking’
            and to provide a fuller picture to trigger the relevant   into for this purpose. The FSB stated in a report titled        and the associated risks of contributing to a build-up of leverage requires further analysis. The EU
            supervisory interventions where necessary.          ‘Transforming Shadow Banking into Resilient Market-                   must ensure that the regulatory burden imposed by SFTR is balanced against the benefits of improved
                                                                based Finance’ in 2015 (updated in 2020), that the                    financial stability and risk mitigation. With regards to the macroprudential framework for the NBFI
            The implementation of SFTR has yielded a number of
            valuable lessons for regulators and market participants   framework looks to “limit the build-up of excessive             sector, ISLA understands the importance of appropriate counterparty credit risk management by banks
            including:                                          leverage outside the banking system, reduce the                       given the high degree of interconnectedness with NBFIs.
                                                                procyclicality of such leverage, guard against the risk of
                                                                regulatory arbitrage, and maintain a level-playing field”.             I
                                                                However, there is no distinction made in the Basel                             The Commission should proceed with updating SFTR and address outstanding challenges
           (i)   Importance of standardised data                framework between:                                                             that will allow policy makers to have more accurate data surrounding securities lending

               collection. As advised above, the                (i) specific transactions that are for the purpose of                          and borrowing activity.
              endorsement of policy makers for
              a CDM would help significantly to                 financing and thereby increase leverage.
              ensure consistency of data provided for                                                                                  II
              analysis.                                         AND                                                                            The review regarding minimum haircuts should be based on a thorough cost-benefit
           (ii)  Data quality and reporting granularity.        (ii) transactions such as securities lending and                               analysis using the enhanced SFTR data, post the initial review, in order to properly assess
              Data lacks the necessary detail for               borrowing, that are mostly used to source a particular                         the impact of certain SFTs and their overall contribution to a build-up of leverage in the
              effective risk assessment by regulators.          security.                                                                      financial system before imposing further prudential requirements such as minimum haircut
              Going forward, efforts to improve data
              quality and standardised reporting                Furthermore, a 2016 ESMA report states that                                    floors on non-centrally cleared SFTs.
              granularity can further enhance the               “numerical haircut floors for non-centrally cleared
              usefulness of the data collected.                 transactions, such as those set out by the FSB, can
                                                                only be introduced and calibrated following a thorough

                                                                analysis using granular SFT data (which will become
                                                                available after the full implementation of the SFTR, and
                                                                following careful assessment of the scope)”.
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