Building a Scalable, Auditable Valuation and Pricing Process - How automation can reduce risk and improve controls in month-end pricing and valuation
This white paper explores the dangers and hidden risks of performing critical calculations with customized spreadsheets. It further examines how organisations can increase automation to reduce risk, and improve controls in a strategic way.
Cat bonds & Artificial Neural Networks | An example of reinsurance products’ pricing using machine learning methods
This white paper presents a mathematic model allowing to predict the number and the cost of incoming catastrophes. It further explores models that help to price insurance risk transfer products, such as XL contracts or cat bonds.
This paper will look at trading across the energy spectrum, a few of the key prerequisites of a successful energy trading company today in the current high-stakes, time-sensitive environment and how one can best utilise data analytics to make sense of everything.
This white paper examines the importance of real-time forward curves. It further explores potential solutions that will aid traders, analysts and risk managers in addressing their needs for real-time and easy-to-use price curve tools.
This white paper examines why end user computing (EUC) applications exist in modern businesses, exploring the issues of risk, reputation and cost overheads. It further considers the returns to be gained by implementing formal approaches to the management of EUC, including the use of…
How will today’s market infrastructure and data processing providers react to ledgers—the very innovation that, some evangelists say, could ultimately subsume them? This white paper explores the latest developments.
Increased regulatory requirements that are expanding the necessity for chief financial officers to be proficient in regulations and advanced big data analytics have seen the relationship with chief risk officers develop to facilitate co-operation as never before. This white paper explores the…
This white paper explores how the entire banking and financial services industry is embracing graph in AML compliance. If further examines how those institutions that start early will get ahead of the curve and turn AML compliance from a burden into their advantage.
This white paper explores key data lake questions and proposes a number of ways to tackle the implementation challenges. It goes on to further examine different ways you can optimise the data lake to ensure it fulfils its desired function.
This white paper analyses the results of a recent WatersTechnology survey which aimed to gain a clearer sense of progress in capital markets adoption of artificial intelligence (AI). It further offers a fascinating study into what could be called ‘qualified optimism’ around AI.