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THE ROLE OF AI IN DRIVING SUCCESSFUL RETURNS FOR ASSET MANAGERS

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Francesca Campanelli, CCO, AxyonAI

 

Artificial intelligence is already a widely used technology in the financial services sector, but is it really being used to its full potential within asset management? The value of AI and machine learning to portfolio management and hedge funds is vast, and as 2021 continues to race ahead, the most successful asset management firms are harnessing AI in order to reassess their way of working and drive returns.

The COVID-19 pandemic hit hard, and almost every industry was forced to re-evaluate their processes. And as the global crisis shone a spotlight on current practices, the need for digital transformation and rapid innovation was suddenly very real and urgent.

In particular, the limitations of traditional investment strategies like quantitative models, where forecasting decisions are based around structured data, became apparent during this period of extreme volatility. The demand for investment strategies and risk management that use AI and machine learning, particularly deep learning, has therefore never been higher.

 

The successful asset manager in the ‘new normal’

During pandemic many investors lost confidence in those asset managers that struggled to keep up with volatile market conditions. Rebuilding that confidence is critical, and advanced AI systems, with their ability to identify data anomalies and trends that traditional quantitative models might not, is a valuable way of doing that.

Deep learning, with its ability to identify complex anomalies easily and rapidly, in a fast-moving market, will therefore be essential for asset management firms looking to thrive and grow as we settle more into the new normal. On top of helping to rebuild confidence lost in the wake of the pandemic, this type of advanced AI will keep firms resilient in the case of future global crises leading to market crashes.

Making the most of AI and machine learning will undoubtedly give asset managers a competitive advantage as they use the information that AI helps them extract to make faster, more accurate decisions. The insights gleaned will also be vital in helping them to put together actionable next steps and tactics for investment decisions, both now and in the future.

Moreover, strategies developed based on AI insights and tools are sharper and more successful at mitigating risk, giving an alternative method of generating alpha in the investment process, no matter how unstructured the data being used.

 

AI and its transformative role for asset management firms

Advanced AI technology is unrivalled when it comes to portfolio management and detecting anomalies in the market. A human element in managing portfolios and mitigating risks can be invaluable, but where it falls down is in being able to handle high volumes of dense, noisy data, and using patterns to successfully predict where markets are headed.

When markets are affected by an unpredictable event, such as the COVID-19 pandemic, AI technology gives asset managers a head start, meaning they’re more successful at reducing earlier market exposure.. And it’s more than just alerting firms to potential risks, advanced machine learning is able to qualify its predictions and how certain those predictions actually are. That extra layer allows asset managers to be even more secure in their portfolio management strategies.

For all these reasons, a recent Funds Europe survey showed just how much the asset management industry is looking to focus on technology and AI over the coming year. More than half of the asset managers surveyed (56%) say that tech and data infrastructure will be focus of investment over next 12 months, and 83% say they will extend strategic alliances with asset servicing tech partners. At the same time, 60% say it’s important to augment human expertise into AI models.

 

AI and good data management goes hand-in-hand

We know that good data management is important, and harnessing AI and machine learning to bolster investment strategies strengthens how asset management firms work with data – and also their requirement for data that’s high-quality and accurate.

AI models can show a lot about the market, and make detailed, accurate predictions that support asset managers as they drive successful returns, but the data being handled has to be as relevant and precise as possible. AI technology can help with this, in part by improving data management techniques to make sure the best and most profitable results are extracted from data sources.

While COVID-19 and its resulting impact on the global economy couldn’t have been predicted, advanced AI technology like deep learning can look out for anomalies that can give asset management firms the information they need to foresee extreme volatility – whether it comes from a future pandemic, or a scenario that we have yet to even imagine.

 

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Four ways traders can manage risk

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By Dáire Ferguson, CEO at AvaTrade

 

Understanding the markets in which you are trading is incredibly important to optimising profit, as well as manging risk and loss. While trading can be incredibly lucrative, it can often be difficult to judge which way the market will move – especially when executing shorter-term traders, where unknown factors can cause unexpected movements. Being aware of the risks is vital to avoid unnecessary losses and to optimise the trading experience.

Dáire Ferguson

There are several techniques that can be employed to make sure the risks associated with trading are controlled, rendering the trading experience smoother and more enjoyable. From beginners to experts, having these tactics in your arsenal will enable traders to be savvier, and more confident.

 

Understanding the risks

To really be able to manage risk, it is imperative to understand the two types of trading risks.

 

Leverage

Leverage is where traders stake only a percentage of the value of the underlying asset they wish to trade on but accept exposure to the full value of the profit and loss that comes with the asset’s price changes. This enables traders to take sizeable positions for comparatively less trading capital, thus providing an opening for big wins and substantial rewards.

However, with this comes the risk of similarly significant losses. As an example, if a trader opens a £100 trade on an asset worth £1,000, using leverage of 10:1, this means that if the assets value increase by 10 per cent, the trader’s money will be doubled. But if it drops by just 10 per cent, the trader will lose all their stake. This balance of high risk and high reward necessitates careful management. Leveraging typically applies to purchasing and trading contracts for difference (CFDs).

Volatility

Volatility is characterised by unexpected fluctuations in the prices of assets and is defined as the rate at which pricing rises or falls given a particular set of returns. Volatility applies to all assets, but the regularity and size of price changes differs hugely across different asset groups. In fact, in some markets, volatility is actually predictable. The cryptocurrency market is well known for its fluctuations, characterised by frequent and, often, significant changes in price.

There are scenarios in which volatility can be desirable for some traders as it fosters greater profit margins. However, it also sharply increases the potential for large losses. Nevertheless, there are a number of ways to spot incoming market fluctuations. These include economic volatility, geopolitical tensions, and changing policies.

 

Managing the risks

 

Choose the right broker

So, what can traders to do manage these risks? The first step is to choose the right broker. Having the right broker can go a long way to limiting the risks that come with trading, including managing counterparty risk. For example, when you purchase CFDs, you are purchasing a contract with a broker – not the asset itself. Therefore, traders must be 100 per cent certain in the knowledge that the broker they’ve chosen to operate with is capable of making good on the value of that contract.

Traders who are just starting out on their trading journey should look to open a trading account with an established name that is well regulated in a variety of jurisdictions. Higher-quality brokers will generally have a wider range of risk management tools and offer better features, which will allow traders to manage the buying and selling of assets in a better, more sophisticated manner.

 

Take out protection on riskier trades

For new traders, or those who are looking for extra support, it is worth considering taking out protection against losses for a set period of time. Certain brokers offer risk management tools that provide thorough protection against such losses. These tools generally require just a small fee, not unlike the premium on an insurance policy. These risk management tools allow users to stay in the trade, riding out any short-term drops in value and benefitting from a positive overall momentum of the position. Therefore, if the market moves in a different direction to what was originally expected, users only lose the cost of purchasing the protection and can recover their losses.

 

Set-up stop-loss orders

Another form of protection against losses is through a stop-loss order. This is an instruction that is executed automatically when certain conditions are met. Therefore, stopping losses from falling below a certain point, and setting a limit on how much an investor can lose on a trade. In the case of a stop-loss order, the position is sold at a predetermined rate – below the current market price for a long position, or above the current market price for a short position.

Stop-loss orders remove the user from the trade at a set price drop. In comparison, risk management tools allow the user to ride out any short-term drops in value, with the potential to benefit from a positive overall momentum of the position.

 

Manage the capital-to-trade ratio

One simple way traders can reduce the risk of accumulating excessive losses is to keep their capital-to-trade ratio under control. This is the amount of capital left exposed to losses in trades compared to the total amount of capital traders have available to themselves.

A sensible rule for traders to follow is to not exceed a capital-to-trade ratio of 10 per cent, and not to risk more than two per cent of the overall capital on a single trade. This doesn’t mean always taking very small positions – it means traders should hedge their risks on whatever positions they choose to take.

It is important that before traders even begin to trade, they make sure that they understand the risks they face. Once they have taken the time to do that, they can begin to contemplate these four ways to manage those risks and then start trading. This is an exciting time to be entering the world of trading, and these considerations should ensure that the trading experience is as enjoyable and profitable as possible.

 

 

 

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Out of office, home and away, moving up, moving on; when security goes AWOL

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By

Steve Bradford, Senior Vice President EMEA, SailPoint 

 

The financial services industry has one of the highest rates of insider data breaches, costing on average $21.25 million in the past year alone. Whether it’s an employee acting with malicious intent, or through accidental data mishandling, staff have access to sensitive information and systems that make them a constant vulnerability. And this threat only escalates when staff go on the move.

With the summer holiday season upon us, thoughts will be turning to well-deserved time off, travel and downtime. However, for many, especially in the financial industry, the notion of waiting until the summer months to sample a new life was not feasible. In the period following Covid, the industry has suffered at the hands of the Great Resignation as burnt-out employees left for new roles. As a result, research from PwC suggests that financial services leaders have had to prioritise employee retention amid the swathes of staff exiting.

This exodus is not just a threat to the workforce itself. It also results in greater threats to resilience, security and compliance. Ensuring that the doors to the organisation’s data are appropriately locked behind them is vital whenever employees are on the move. When a staff member leaves a bank or financial institution, security leaders must ensure they have not inadvertently handed over the keys to the safe as a leaving present. Revoking any and all access and privileges to company data must be a priority.

 

Don’t leave the door ajar 

Disorganised, ill-managed and manually-processed access requirements and identity management protocols are an open invite for security breaches.

However, it is not just those leaving for good that pose a threat. Recently promoted your long-serving payroll manager to a longed-for role in financial oversight? That positive move could result in entitlement creep, where the permissions to data, apps, information and systems she enjoyed in payroll follow her to her new home.

Permission creepers are those staff who collect permissions and access rights as they go through their career, picking up credentials to systems and data as they go. Of course, to restrict the opportunities for hacking, insider threat or illegal or incompliant activity, permissions should only be granted when relevant and required for an individual’s job. However, too many companies allow permissions to creep by not taking a proactive approach to access. This can result in toxic permissions combinations, where employees are granted inappropriate access to the systems, making fraud and error far more likely.

Even a simple summer holiday can provide an open-door opportunity. We are all conscious about signaling to would-be home burglars that we are going away on holiday, and we will take steps to protect our property in our absence. The same principle applies to businesses with staff out of the office on vacation – potentially logging in from insecure locations or signaling to cybercriminals that their attention is elsewhere.

The results of leaving the door ajar are costly. According to the IBM Cost of a Data Breach Report 2021, the average cost of a data breach in the financial sector is $5.72 million.

Permissions creep, unrevoked access and unmanaged identity provide the perfect conditions for the insider threat to propagate. As Gaurav Deep Singh Johar, of the Information Systems Audit and Control Association explained, “While these challenges are present in any institution, insider threats pose a greater risk for banks. There is a big reputational impact, thanks in part to increasing regulatory oversight.”

 

Don’t let permissions security set sail into the sunset

Financial organisations are complex landscapes, with labyrinthine corporate structures and siloes that cast a dark shadow over access and identity visibility. However, identity security technology is moving fast. Now, automated systems powered by AI and machine learning mean that permissions can be automated and access granted on a need-to-know basis, based on individuals’ employment status, roles, and responsibilities.

An automated system will quickly track down and disable ex-employees’ accounts and automatically halt permissions creep as employees move about the organisation.

The same technology can now also be even more diligent than that, monitoring access requirements based on any change in the workforce, like people being out of the office.

The evolving variety and fluctuating workforce mean that the insider threat can only be met with automated, streamlined identity security that moves as quickly as employees themselves. Without intelligent, streamlined identity governance, banks cannot ensure they are in a state of compliance, nor ensure cybersecurity in real-time. They also miss out on opportunities to improve operational efficiency and reduce the risk of fraud and error. Automation also ensures the accuracy and completeness of data sets so critical for keeping on top of compliance and delivering critical services.

As financial workforces are on the move, home and away and to pastures new, now is the time for banks to give identity security its time in the sun. Do not let shifting sands collapse the walls around you. Wherever your employees are coming from and going to, robust security and sustained compliance start with automated identity management.

 

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