Navigating inflation: Soft landing on a moving target Amid strong signs that the aggressive tightening cycle implemented by monetary authorities to combat inflation may have run its course – with interest rates set to head lower later this year – markets are jubilant. However, some central bankers and economists caution that these celebrations
Securities settlement – T+1 comes into focus The imminent launch by the Securities and Exchange Commission (SEC) of a T+1 settlement regime for US securities is set to reduce risk but also pose challenges – especially for market participants and regulators in other jurisdictions that, for the time being, retain
Transforming Finance: The pivotal role of Big Data As we transition into an era marked by digital intelligence, one of the most significant transformations is the shift in how businesses, particularly within the finance industry, are leveraging Big Data for growth and development. This article offers an exploration of the
Machine learning by the numbers: Its impact on business Machine learning (ML) has emerged as a powerful subset of artificial intelligence (AI), revolutionizing industries across the globe. By leveraging historical data and sophisticated algorithms, machines can now imitate human learning, continuously improving their accuracy and capabilities. The impact of machine learning
What is machine learning (ML)? In the simplest terms, machine learning (ML) is a subset of the broader field of artificial intelligence (AI). AI can be defined as the attempt to create machines or software systems that display human-like intelligence. Originally, most attempts to create AI systems involved the so-called
Finance reimagined: Mastering machine learning The advent of machine learning (ML) has ushered in a new era in the financial industry, prompting a significant shift from traditional methodologies to sophisticated data-driven systems. This article presents a comprehensive understanding of the crucial role machine learning plays in finance, emphasizing the necessity for
How computers add value to business: Modeling & decision-making The earliest computers performed relatively simple tasks, such as tabulating and organizing numbers and basic calculations using simple mathematics. To perform more advanced functions, computers require more advanced math. Understanding the mathematical concepts and methods that underline computing applications such as
Big data defined: IoT, three Vs, uses, role in AI Big Data has become a major buzzword in the past few years as we have collected more and more information about a wide range of objects, processes, people, and things. This is due to both the increase in available computing
ETFs – popular as ever, with increased specialization Exchange-traded funds (ETFs) are one of the major financial innovations of recent decades, their growing popularity reflected in an ever-rising share of assets under management. Global ETF assets hit the USD 10 trillion mark this year, of which the US accounts for the vast majority
Emerging risks in finance: “Tilted to the downside”? As the year-end approaches, the focus of market strategists and economists is on the risks to the global economy and markets in 2024. Key potential sources of risk for the global economy include fallout from China’s real estate crisis, commodity price volatility, persistent inflation, and ballooning
