Technology
Can financial firms grasp the AI opportunity?
Artificial intelligence (AI) has the potential to transform financial firms’ efficiency, insight and competitiveness. Many organisations already make use of predictive AI in areas such as fraud detection or customer communications.
Risk management strategies for revenue maximisation in financial services
This white paper discusses proactive risk management in financial services, focusing on automated solutions and artificial intelligence/machine learning technologies to enhance revenue assurance and operational efficiency.
Risk, portfolio margin, regulation: regtech to the rescue
This Whitepaper addresses the complexity of today’s risk environment for market professionals which can only be fully met with a regtec approach. Cost, competition, technology capability, and regulation influence and drive decision making.
The power of three: how technology, service and expertise can transform investment operations
A white paper offering helpful considerations and first-hand insight on investment operations, addressing the power of three elements: technology, service and expertise
Prometeia’s LLM/GenAI validation framework
Prometeia’s LLM/GenAI validation framework: a method to validate generative AI models for financial applications
Driving a modern operational resilience program
Strengthen your operational resilience processes, meet pertinent regulatory requirements in this space and enhance business continuity practices with the help of high-performance GRC technology
Stress-testing and capital adequacy in banking: tackling technology challenges
This article builds on the discussions held in a Chartis and Appian webinar, which covered how banks have sharpened their focus on stress tests.
Real-time and historical market data: priorities, preferences and the cloud
This paper focuses on firms’ current market data priorities, the asset classes and geographies they are looking to focus on in the near future, and the benefits they expect moving their historical market data storage and consumption to the cloud
Investment management ‘one analytics view’ for credit bonds and ESG risk factors
A Chartis and MSCI research report that examines how firms must integrate ESG risk analytics with multiple other performance or risk analytics in credit bond portfolios to obtain a meaningful, quantitative and comprehensive investment view
Is your SOFR readiness being put to the test? Let’s talk about post-transition issues and challenges
In this whitepaper, five Numerix experts discuss the issues tied to SOFR impacting the market
Finding the investment management ‘one analytics view’
This paper outlines the benefits accruing to buy-side practitioners on the back of generating a single analytics view of their risk and performance metrics across funds, regions and asset classes.
Dismantling the zeal and the hype: the real GenAI use cases in risk management
Chartis explores the advantages and drawbacks of GenAI applications in risk management – firmly within the well-established and continuously evolving AI landscape
In search of clean data: firms navigate data challenges as LLM adoption flourishes
Large language models (LLMs), a form of artificial intelligence (AI) specialising in natural language processing, represent many opportunities for financial services firms to improve investment decisions and enhance risk management.
Bank balancing: optimising margin and capital in a higher-rate environment
This Risk.net paper, which features leading practitioner insights, assesses the challenges banks are facing in the new higher rate environment and the strategies and tools they are using to optimise margin and capital on their derivatives portfolios.
Tackling credit risk in turbulent times
In September and October, Risk.net surveyed 58 chief risk officers from a mixture of banks and insurers across the Asia-Pacific region on the credit risks they face in the current environment and how they manage them.
Can ChatGPT unlock better investment portfolio selection?
This whitepaper explores the potential uses of generative artificial intelligence (AI) models, such as ChatGPT, for investment portfolio selection
Post-trade processing via NYFIX matching
This case study highlights a global asset management firm’s successful adoption of NYFIX Matching, a product from Broadridge Trading and Connectivity Solutions, to address challenges in post-trade processing
The move to T+1: this time is different
This white paper, created by Broadridge, outlines its NYFIX Matching solution, which offers a tailored road map, leveraging robotic process automation and artificial intelligence, ensuring a smooth transition.
Re-envisioning client lifecycle management
The financial services industry faces an urgent need to modernise and future-proof its systems and processes
Safeguarding the future: ensuring cyber security in hedge funds
This paper explores the increasingly complex cybersecurity threats facing hedge funds and asset managers, including real-life case study examples, and reveals why a multi-faceted cybersecurity approach is needed to keep pace with emerging risks.
Navigating the adoption of generative AI
This white paper, created by Xoriant, focuses on generative artificial intelligence (GenAI) and its potential to transform how financial services firms operate, make business decisions and innovate.
Chartis RiskTech100® 2024
The latest iteration of the Chartis RiskTech100®, a comprehensive independent study of the world’s major players in risk and compliance technology, is acknowledged as the go-to for clear, accurate analysis of the risk technology marketplace. With its…
T+1: complacency before the storm?
This paper, created by WatersTechnology in association with Gresham Technologies, outlines what the move to T+1 (next-day settlement) of broker/dealer-executed trades in the US and Canadian markets means for buy-side and sell-side firms
T+1: complacency before the storm?
This white paper, created by WatersTechnology in association with Gresham Technologies, outlines what the move to T+1 (next-day settlement) of broker/dealer-executed trades in the US and Canadian markets means for buy-side and sell-side firms.