This article was contributed from Limeglass
Access to relevant and timely research is essential for trading decisions of any financial instrument, and this is exemplified in foreign exchange (FX), the most liquid global market with the longest trading hours and the largest variety of participants.
How can financial research become more valuable for the foreign exchange (FX) market?
With an average of $6.6tn of trades per day, the FX market underpins many investments and all international capital flows. The ability to make or advise on appropriate transactions depends upon participants having access to the right information at the right time.
There are two sides to the coin. Firstly, for research publishers, it is imperative that their material reaches their audiences, and is read. Delivery is required in an appropriate and easily digestible manner, making their output an integral part of their clients’ operations. Secondly, for report recipients, it is imperative that they can access the relevant information and gain insights upon which to make informed choices, provide suitable advice and thus differentiated value for their clients’ end goals.
Whether producing or reading research, time is often limited, however, information is vast, with snippets of high-value information buried deep in documents. So how can the two be correlated effectively?
This can only be done if FX risk managers and sales teams are able to smartly access information, fully capitalising on the intelligence they receive via research reports and news articles. Banks and other financial institutions produce and receive hundreds of pages of research each day, yet these reports are seldom used to their optimal value.
Optimisation of research at key working moments is vital, yet this is not often possible due to the incumbent search methods. For example, when an analyst or portfolio manager is researching information to potentially rebalance weighting of a fund, when a salesperson is responding to a client query, or supporting a client with the execution of a trade, traditional search methods such as scrolling through an email inbox or using Control+F on a text document obstruct commercial opportunity. The continuous high volume of reports combined with the multiplicity of sources to try and glean value from makes this a largely inefficient and frustrating process, making it difficult even for experts to be truly knowledgeable in many areas at once.
The issue is exacerbated as keyword-based searches produce very narrow ineffective results, as other relevant words and phrases within the context of the subject will be missed. For example, a search on the ‘pound to dollar rate’ would only reveal sections of reports that referred to those particular words; other relevant sections containing words and phrases such as ‘sterling’, ‘cable’, ‘greenback’, ‘GBP/USD’ or simply ‘GBP’ would not be revealed. Moreover, adjacent contextual references to topics that affect the FX market, including the current UK interest rate or latest announcement by the US Federal Reserve would also be missed.
As an example, imagine you get a call from a client asking for relevant information concerning the morning’s drop in the AUD price: you’d want to answer the query with accurate, timely information about the cause, along with announcements from the Reserve Bank of Australia’s (RBA) Governor stating what was said, the RBA international reserves portfolio, and other influencing factors. Additionally, you would also want to quickly access information about previous recent dramatic price moves and research that has been undertaken on them. If you’re not able to respond quickly and accurately, you may inadvertently impede your client’s decision-making and thus negatively impact the client relationship.
Doesn’t the increase in automated FX trades negate the need for research?
There is no doubt that automation has brought huge efficiencies and a different mindset to the FX industry since the advent of eCommerce and algorithmic trading. Speed of execution, price transparency and cost-savings are great consequences of digital FX. Indeed, algorithms are continually being developed with a requirement for new inputs and research can be added with systematic tagging.
Yet, automated, execution-only trading is not beneficial all the time. Research and information-based advice, either on a macro portfolio, or deal by deal basis remains a key value proposition. Proprietary information held in research is an important differentiator for transaction and fund performance, and critical for client service.
Algo and digitally managed trades still require to be monitored by human oversight with relevant FX market experience combined with key influencing market factors. In such a fast-moving and highly liquid market, the pre-set parameters in an algorithm that provided good returns a few days previously may need to be refined if there has been an abrupt change in market activity. What was the cause of the change, was it a one-off, or part of an emergent trend? Timely access to the right information allows digital risk managers to act swiftly and diligently based on insights from their corporate peers in research.
The upshot is, that although algorithmic trading plays an important role in the FX market, it should be complemented by human intervention and this in turn needs to be supported by relevant information, gleaned from available, high quality and timely research.
Can research become more personalised for FX participants?
To compete and stand-out from competitors, research, and its application in a business’s value proposition has to become more personalised and part of an institution’s digital strategy. There has been little progress in the financial research space in recent years, but technology and innovation are now enablers of change. In any market, institutional traders and corporate leaders need to gain insights upon which they can act. In the FX industry, the high volumes and fast-paced nature of trading make this all the more necessary.
To do this, unstructured reports need to be dynamically and instantly transferred into useful structured material so that it can be distributed in a personalised manner and accurately obtained by its recipients at the moment insights are required. By applying smart tags to paragraphs within research documents, relevant topics, such as ‘US elections’ can be surfaced from not one, but a multitude of documents in a single action, generating insights on the macro view of the market down to the most granular snippet of insight.
This not only enables a convenient mechanism for consuming reports but also means that the results are pertinent and relevant, therefore personalised to the user. Naturally, a tailored provision of material will better equip any trader, salesperson or investor to quickly assess reports and discover the information they actually need to make the best decisions.
Additionally, for the research publisher, this approach provides valuable metrics and insights on readership to ascertain not only which reports were read, but which specific parts of individual reports were deemed most significant or of value, providing easily identifiable feedback that can guide the creation of future publications.
The ability to refine output should lead to customer satisfaction and loyalty by the recipients of the reports. These symbiotic gains in value for both research consumers and producers have an amplified positive effect on the value to clients and thus the commerciality of their respective business units.
What will be the future of financial research in the FX market?
Greater operational choice in FX trading has led to a wider variety of participants. Segments of the markets are blurring with banks, and financial firms that are already competing with each other risk losing market share to new incumbents. Institutions need to differentiate their offer from competitors to show their unique value. A holistic view is required, to provide leading propositions, which includes a strategic eye on research.
Recent increased volatility and activity in the currency markets also highlights a need for quick access to time-sensitive information when it is needed most. Participants should be able to extract the valuable insights sought from the research reports at the very instant it is required.
The smart use of existing research is a transformational shift away from the ‘not knowing what you don’t know’ scenario, to discovering new information that can have a key impact. It surfaces the latent value of existing content allowing teams to access information that historically would have been missed.
Research providers can harness the power of atomised documents to open up new opportunities. For example, reports can be linked to execution platforms at paragraph level so that relevant research is automatically, dynamically and intuitively available at the point of trade, and hidden insights become part of the trade decision process. Additionally, email alerts and/or notifications can ensure that the customer is automatically kept up to date with tailored research. Technology enables a more personalised product to research consumers, leading to increased customer loyalty, and therefore to ongoing business success.
Ultimately, through the adoption of smart technology, financial research becomes a strategic tool. It provides a competitive edge for market participants who grasp the emerging opportunity and realise that digitally enhancing their research will form an essential part of their wider technology ecosystem.
The views represented in this commentary are those of its author and do not reflect the opinion of Traders Magazine, Markets Media Group or its staff. Traders Magazine welcomes reader feedback on this column and on all issues relevant to the institutional trading community.