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Unravelling the Gordian knot of accurate reference data

In the continuing absence of single, global identification and transaction messaging standards, the challenges of managing reference data are many and varied, since every data point may be subject to multiple interpretations - and indeed uses - in different contexts.
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In the continuing absence of single, global identification and transaction messaging standards, the challenges of managing reference data are many and varied, since every data point may be subject to multiple interpretations - and indeed uses - in different contexts.
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It is a truth universally acknowledged that faulty reference data is, today, one of the key contributors to regulatory reporting failures.
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Reference data plays an increasingly critical role in the smooth running of global financial markets, touching on every part of the transaction lifecycle.
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The use of reference data is not always an ‘after the event’ activity for reporting purposes. Futures and options reference data in particular is not only instrumental but also mission critical in price discovery for forward-priced transactions. As such, any problem with this data, whether at source , in its delivery to an end user application, or because of a ‘glitch in the matrix’ on the end user side , can cause major headaches.
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UK regulatory authorities have launched a consultation on changes to technical standards that govern margin requirements for uncleared derivatives.
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The UK Financial Conduct Authority (FCA) will canvass opinions about derivatives transparency rules “later this year”, after pressing ahead with plans to introduce a bond and equity consolidated tape (CT).
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Singapore Exchange (SGX) has hit an open interest record on its Indian rupee/US dollar (INR/USD) futures, after a rising trend in the country’s interest rate over the last year has driven hedging demand.
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What were the hot topics at the event? An overriding theme was the challenge and opportunity that technology, and in particular, the cloud and Artificial Intelligence (AI) present for the derivatives sector. This discussion dominated every session, whether looking at regulation, operations, or the future of markets. Let’s look at each in turn.
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In the world of finance, market and reference data management is a critical function supporting trading, risk management, regulatory compliance and enterprise and customer reporting. In essence it is the efficient collection, storage, processing and distribution of accurate and timely data to support all participants and activities in financial transaction lifecycles.
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Small to medium sized firms can now access the same market data sources as the largest investment banks but at significantly lower costs.