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…
This white paper outlines the challenges involved in implementing CECL, proposes a best practice approach to managing spreadsheet risk in CECL, and highlights some of the functionality such a solution might need to deliver CECL accurately on time and on budget.
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 deals with the pricing of defaultable assets, whether corporate bonds or bank loans, in terms of theoretical and practical issues alike.
This report outlines the key issues facing the industry in Risk Data, Aggregation and Regulatory Reporting (RDAR) cost compliance, details a robust methodology designed to highlight the core trends and ‘levers’ governing RDAR compliance costs, and offers clear, actionable insight to readers…
This white paper explores how behavioural science technology can cut through data to help identify insider trading. It further examines how technology can identify suspicious trading, so teams can avoid the waves of false positives that occur from using systems which rely on mathematical models.