Can recent technological advances in artificial intelligence be used improve your risk management processes?
This article was written by Ashley Aberneithy, CEO of Analytic AI.
It’s commonplace for risk managers to group their portfolio into risk books. The process of isolating risk within their portfolio involves risk managers creating distinct groups for different types of trader. The risk manager might place large size traders into one group, whereas high frequency traders may go into another group.
The risk manager then hedges each group independently, i.e. the high frequency traders might be best served by an automated hedging process (STP) whereas certain traders might just be shut down or flagged as fraudulent. How accurately these groupings reflect the characteristics of the firm's portfolio directly impacts a firm's bottom line and financial institutions dedicate a large amount of time into analyzing traders and building these classification groupings.
Has a trader exhibited certain characteristics within their past trading behavior?
Many risk managers ask the question ‘has a trader exhibited certain characteristics within their past trading behavior that can be used to predict the best classification for them going forwards?’ but the main problem with this approach is that (a) the accuracy of this method is questionable (b) this analysis is very time consuming and (c) due to the large number of inputs the analysis highly subjective and prone to error.
In many cases risk managers might just not even have enough data about the trader to make these decisions.
Artificial intelligence solutions aim to ‘quantitatively assess’ common heuristics and behavioural traits which exist amongst financial market traders
Machine learning and AI based algorithms are more effective at modeling risk groupings compared with their human counterparts, however they are not a silver bullet; these algorithms are extremely complex to build and it’s common for them to work on historical data, but fail when faced with new data. Building these solutions also requires specialist skillsets in machine learning and quantitative Risk Management; skills, which are in short supply and high, demand.
When I speak to firms it’s not uncommon for them to complain about spending months, even years, with varying degrees of success, researching these automated solutions for optimizing their risk groups. There is hope however! We are starting to see an emergence of cost effective artificial intelligence within the financial space and some specialist vendors providing both out-of-the-box solutions as well as more customized solutions to fit the needs of specific firms.
How do you know using this type of automated solution is right for your firm? Many of these firms offer backtesting solutions which allow firms to forecast how these algorithms can perform on your data going forwards. The numbers provided might be enough for you decide to make the switch, or at least augment your existing classification process with an AI based solution.
The other main driver is Scalability, if you need a solution which can scale no matter the trade volumes, 24 hours a day, then moving to an algorithmic solution could be a good solution for your firm.
This article was written by Ashley Aberneithy, CEO of Analytic AI.
It’s commonplace for risk managers to group their portfolio into risk books. The process of isolating risk within their portfolio involves risk managers creating distinct groups for different types of trader. The risk manager might place large size traders into one group, whereas high frequency traders may go into another group.
The risk manager then hedges each group independently, i.e. the high frequency traders might be best served by an automated hedging process (STP) whereas certain traders might just be shut down or flagged as fraudulent. How accurately these groupings reflect the characteristics of the firm's portfolio directly impacts a firm's bottom line and financial institutions dedicate a large amount of time into analyzing traders and building these classification groupings.
Has a trader exhibited certain characteristics within their past trading behavior?
Many risk managers ask the question ‘has a trader exhibited certain characteristics within their past trading behavior that can be used to predict the best classification for them going forwards?’ but the main problem with this approach is that (a) the accuracy of this method is questionable (b) this analysis is very time consuming and (c) due to the large number of inputs the analysis highly subjective and prone to error.
In many cases risk managers might just not even have enough data about the trader to make these decisions.
Artificial intelligence solutions aim to ‘quantitatively assess’ common heuristics and behavioural traits which exist amongst financial market traders
Machine learning and AI based algorithms are more effective at modeling risk groupings compared with their human counterparts, however they are not a silver bullet; these algorithms are extremely complex to build and it’s common for them to work on historical data, but fail when faced with new data. Building these solutions also requires specialist skillsets in machine learning and quantitative Risk Management; skills, which are in short supply and high, demand.
When I speak to firms it’s not uncommon for them to complain about spending months, even years, with varying degrees of success, researching these automated solutions for optimizing their risk groups. There is hope however! We are starting to see an emergence of cost effective artificial intelligence within the financial space and some specialist vendors providing both out-of-the-box solutions as well as more customized solutions to fit the needs of specific firms.
How do you know using this type of automated solution is right for your firm? Many of these firms offer backtesting solutions which allow firms to forecast how these algorithms can perform on your data going forwards. The numbers provided might be enough for you decide to make the switch, or at least augment your existing classification process with an AI based solution.
The other main driver is Scalability, if you need a solution which can scale no matter the trade volumes, 24 hours a day, then moving to an algorithmic solution could be a good solution for your firm.
FM's Editor-in-Chief Yam Yehoshua on how the newsroom evaluates stories.
FM's Editor-in-Chief Yam Yehoshua on how the newsroom evaluates stories.
FM's Editor-in-Chief Yam Yehoshua on how the newsroom evaluates stories.
FM's Editor-in-Chief Yam Yehoshua on how the newsroom evaluates stories.
Matthew Smith, Group CEO at EC Markets, speaking at FMLS:24
Matthew Smith, Group CEO at EC Markets, speaking at FMLS:24
Matthew Smith, Group CEO at EC Markets, speaking at FMLS:24
Matthew Smith, Group CEO at EC Markets, speaking at FMLS:24
Finance Magnates Annual Awards 2024 | FM Awards 2024 Highlights
Finance Magnates Annual Awards 2024 | FM Awards 2024 Highlights
🎥Catch the best moments from the Finance Magnates Annual Awards Gala Dinner!
An evening where top names in finance came together to celebrate achievements, enjoy live music, and connect over a memorable dinner. Watch the highlights and feel the energy of our first gala in Cyprus!
Congratulations to all the winners for their dedication to excellence and leadership in the financial industry, including XM, Trading PRO, FP Markets, Deriv, FxPro, LATAM, Headway, ATFX, FBS, AMEGA, EC Markets, Axi
For more information about the 1st Finance Magnates Annual Awards, visit https://bit.ly/3Zb7wNz
#FinanceMagnatesGala #IndustryExcellence #GalaHighlights #FinanceMagnatesAnnualAwards #FinanceMagnatesAwards #CelebratingSuccess #FinanceCommunity
🎥Catch the best moments from the Finance Magnates Annual Awards Gala Dinner!
An evening where top names in finance came together to celebrate achievements, enjoy live music, and connect over a memorable dinner. Watch the highlights and feel the energy of our first gala in Cyprus!
Congratulations to all the winners for their dedication to excellence and leadership in the financial industry, including XM, Trading PRO, FP Markets, Deriv, FxPro, LATAM, Headway, ATFX, FBS, AMEGA, EC Markets, Axi
For more information about the 1st Finance Magnates Annual Awards, visit https://bit.ly/3Zb7wNz
#FinanceMagnatesGala #IndustryExcellence #GalaHighlights #FinanceMagnatesAnnualAwards #FinanceMagnatesAwards #CelebratingSuccess #FinanceCommunity
FMLS:24 | Shaping the Next Era of Financial Evolution
FMLS:24 | Shaping the Next Era of Financial Evolution
Welcome to FMLS:24 – the premier event where influential brands and leaders in trading, payments, fintech, and digital assets come together!
Join over 2,500 industry professionals, engage with 150+ expert speakers, and discover endless opportunities with 70+ top exhibitors. FMLS:24 is where senior executives and decision-makers gather to close deals, forge new partnerships, and strengthen connections with long-term clients.
Whether you’re in finance, technology, or payments, this summit is your gateway to future growth, meaningful collaborations, and industry-leading insights.
👉 Don't miss out – secure your ticket now at https://events.financemagnates.com/ZQEYy0?utm_source=youtube&utm_campaign=fmls24-awareness&utm_medium=video&RefId=MLS%3A24+Video+Promo
#fmls #fmls24 #fmevents #financemagnates #forex #payments #crypto #events #london #fintech #ai #generativeai #technology #onlinetrading #forex #investing #investors #tech
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Don't miss out on our latest videos, interviews, and event coverage. Subscribe to our YouTube channel for more!
Welcome to FMLS:24 – the premier event where influential brands and leaders in trading, payments, fintech, and digital assets come together!
Join over 2,500 industry professionals, engage with 150+ expert speakers, and discover endless opportunities with 70+ top exhibitors. FMLS:24 is where senior executives and decision-makers gather to close deals, forge new partnerships, and strengthen connections with long-term clients.
Whether you’re in finance, technology, or payments, this summit is your gateway to future growth, meaningful collaborations, and industry-leading insights.
👉 Don't miss out – secure your ticket now at https://events.financemagnates.com/ZQEYy0?utm_source=youtube&utm_campaign=fmls24-awareness&utm_medium=video&RefId=MLS%3A24+Video+Promo
#fmls #fmls24 #fmevents #financemagnates #forex #payments #crypto #events #london #fintech #ai #generativeai #technology #onlinetrading #forex #investing #investors #tech
📣 Stay updated with the latest in finance and trading!
Follow FMevents across our social media platforms for news, insights, and event updates. Connect with us today:
🔗 LinkedIn: https://www.linkedin.com/showcase/financemagnates-events/
👍 Facebook: https://www.facebook.com/FinanceMagnatesEvents
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