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Brexit may well be just around the corner, but it is market data spending that financial institutions are more interested in taking back control of right now. In fact, other than regulatory equivalence post the transition period, it is hard to think of a more prominent issue right now than the rising cost of market data. According to analysis at the end of last year by Burton Taylor, global spend on market data topped $30 billion in 2019. With costs showing very little sign in coming down, at least in the short to medium term, now has to be the time for market participants to better grasp of not only what their costs could be at the end of the month, but also the precise areas of business consuming the most data.
The problem has been, and still is, seeking out those month-on-month cost anomalies. For example, why is it that fixed income and FX derivatives costs have all of a sudden doubled compared to the previous month? The trouble is it is nigh on impossible to get accurate answers to questions like this because the vast majority of investment firms have no fullproof way of analysing how spending evolves over time. In certain cases, financial instructions can experience a 10%+ increase on their monthly market data vendor bills.
It is not hard to see why – as every small incremental cost mounts up fast. First there are the direct costs for one or more sets of data – which leads to billing getting far more complex. Sure, a market data vendor may be adding lots of different add-on services to help clients save money, but at the same time, they will also be adding on more costs. If this was not enough, there are also the indirect costs around data governance and regulatory compliance. New rules, such as the Fundamental Review of the Trading Book (FRTB), means that investment banks will have no choice but to consume a lot more data to be able to run models and back testing.
All this begs the question; how exactly can firms gain more control of their market data spending? A good place to start is trying to reduce waste. This involves firms making sure they do not request new sources of data from their vendors that they are not going to use. If data vendors charge for every single piece of data that the client requests, then the client needs to make sure they are going to act on this information. Then there is the recycling of the data. Say an investment fund needed a new piece of data instantly, and also needed that same piece of data at the end of the day. If the fund manager already has the data, they surely, they do not need to request it again? It is all about being smarter about reusing whatever data the fund manager has received previously. After all, different trading desks are all consuming data and requesting information through the data management team, but it is hard for the trader acting on the data to work out how much the data actually costs. This is why being able to allocate these costs to the different trading desks is key.
When all is said and done, the only way financial institutions can harbour any hopes of overcoming this longstanding data cost problem is by deriving more insights to ensure they a squeezing every last drop of value from their market data. Technological advancements mean that firms can now keep right on top of not just their data direct costs, like complex billing, but also the indirect costs around regulation. With so many other cost pressures across the business right now, it is time financial institutions take advantage of new technologies to finally address the issue of rising market data costs that has, frankly, plagued the industry for too long now.
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