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How changing technology is influencing capital markets
Technology advancements in cloud and mobility coupled with the need to comply with regulatory requirements, are influencing Capital Markets in a huge way By Abhishek Bhattacharya and Pravin Lal, Sapient Global Markets, September 14, 2012

Technology plays a significant role in the capital and commodity market, in fact trading firms are the first ones to leverage any cutting-edge technology that can help to get the pulse of the markets faster, help them “execute trades” faster, or measure their risks faster.

In the last two decades we have seen several innovations in the industry in terms of new financial products and new ways of doing business, all of which require substantial application of very advanced technologies. Whether it is complex analytical algorithms to predict future movements and perform valuations of complex products, or connectivity to exchanges, technology has been at the forefront of capital and commodities market development.

Faster and more efficient technology in this business can lead to better financial results. The line between technology and business functions has become extremely blurred. For instance, better trading strategy algorithms leads to better trading decisions. The key challenge for technologists in this space is to keep pace both with technology and rapidly evolving products and regulations.

As a result, it is important to understand the technology trends in this space. These trends are a result of the regulatory changes, innovation in technology and budget pressures. Let us look at each of these trends in detail.

Technology required to cater to regulatory requirements
In reaction to the global financial crisis, most governments are bringing massive regulatory changes, like Dodd-Frank Act in USA and Basel III in OECD countries. The new regulatory regime, at some level, would bring fundamental changes to the way business is done in the capital and commodities markets.

These multiple regulations are also bringing in several significant technology changes like massive reporting requirements, requirements around connectivity and integration with new entities like SEF (swap exchange facilities) and SDR (swap data repositories); moving from end of day risk management to more proactive and near real time risk management. With swaps being cleared though CCPs; ccollateral management will become an increasingly important aspect for investment managers and hedge funds. The collateral management systems will be needed to verify/manage the collateral calls from clearing brokers.

Reporting of transactions executed by SEFs will be handled by the SEFs. However, for unlisted transactions reporting will have to be handled by one of the parties (major swap participant or dealer). What to report for what trade will have to be built within the applications supporting trade execution.

These regulatory changes are coming with very tight regulatory timelines and in some cases evolving requirements. These regulatory challenges bring to the fore technologies like process grids, elastic application containers, complex event processing, in-memory databases and real time databases.

Application of mobile solutions
Banks are extending their products and services on smart devices for the retail investors. To begin with banks would provide mobile versions of their website that will allow common transactions through mobile devices. As smartphone usage increases and data connectivity speed improves we will see dedicated mobile apps from banks. That is not all, powerful personal finance, account management and modeling apps would become available.

On the wholesale front another related trend is the use of tablet (iPad) based applications in the capital markets industry. Research reports and research tools (time series analyzers, analytical calculators etc) being provided to the clients on iPad would substantially improve productivity and decision making. Key decision makers like Portfolio Managers are always on the road evaluating companies and negotiating deals. Providing powerful data visualization tools along with current information like research reports has the potential of significantly improving decision making.

In addition, Sales teams of Capital Market players have started using such mobile applications for institutional clients. Banks offering wealth management services are looking at providing real time portfolio management on iPad to their HNI clients.

Adoption of cloud

Cloud Computing is a promising paradigm for delivering computing utilities as services. Just as personal computers and servers shook up the world of mainframes and mini computers, or as smartphones and tablets revolutionized the mobile commerce industry, cloud computing is bringing similar far-reaching changes to the licensing and provisioning of infrastructure and to methodologies for application development, deployment and delivery. There are countless opportunities for financial services firms to leverage the benefits of cloud computing by migrating a variety of applications to the cloud.. Although very few firms are currently using cloud computing for their core trading applications, different hosting architectures provided by IaaS cloud providers, private clouds and hybrid cloud space, will drive more firms to move their core applications to the cloud.

Given the current business environment and global economic conditions many firms will be forced into evaluating the capital expenditure required for building data centers and maintaining server farms. As a result of this, even the core applications will be hosted on outsourced infrastructure available on cloud. In fact, core solutions, such as batch processes running throughout the day, analytics and reporting applications, are perfect candidates.

Growing power of social media
There are innovative trends that are emerging in terms of applicability and impact of social media on this industry with respect to predicting stock prices and using social media for retail trading. In the near future, more retail brokers would be offering social media based trading platforms to their clients on which the clients can collaborate and trade effectively. Predicting stock prices based on inputs in the form of sentiment from social media is a promising area for research.  Initial research shows encouraging results. However, final verdict on this is not out as yet, so for now there are no right or wrong answers. However, with the right level of investment, accuracy of output can be enhanced and more importantly confirmed. Social media is finding a real applicability amongst the retail investors who are quite open to sharing trading tips on social networks such as currensee.com etc

Advanced risk technology

With the 2008 global market crash and recession, risk management as a discipline has come to the forefront in trading firms. This is becoming even more critical with regulators bringing lot of focus back into risk management and expecting significant rigour and data reporting responsibilities.

Traditionally, a trading firm has been siloed across different asset class based trading desks, where each trading desk having its own profit and loss responsibility. However trading firms are looking to get a better handle of credit risk (exposure against counterparties) and market risk across the organization in a more timely manner. This is leading to significant investment in data consolidation, valuation and analytics on large data.  Several technologies like process grid, in-memory databases and data grids are being used to build near real-time risk calculation engines, that not just focus on one trading desk but helps understand exposure across organization.

Era of Big Data
Another big trend being noticed is the renewed focus on managing operational risks, for example management of trader limits or prevention of insider trading. This is a huge challenge for a trading firm, as they would like to maintain trading and decision making agility to capture market opportunities without losing the ability to comply with laid down policies and practices. Some of the approaches that are being implemented deals with big data analysis technology and semantic based data management technologies. A typical capital market firm generates hundreds of gigabytes of data on a daily basis. Analyzing such massive amount of data to understand trading patterns to identify insider trading is still a very nascent but a promising technology. Similarly using semantic based data management is another upcoming field that is gathering lots of attention.

To summarize, technology adoption in capital markets is at a very critical juncture in both developed and emerging markets. Keeping pace with these trends will be very challenging for banks and trading technology vendors.

The key challenge for CIOs is to support regulatory requirements through technology and at the same time allocate technology budget for launching new products or new markets. In addition the pace of technology advancement is making it difficult for the CIOs of banks and technology leaders to plan a long term roadmap for IT.

 

- Abhishek Bhattacharya is Director- Technology while Pravin Lal is Director at Sapient Global Markets



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