Building a dynamic forecast of the risk of a global, multi-asset portfolio often requires choosing between a comprehensive but possibly complex model and a simple but approximated one. Alvin Stroyny ...

This article investigates the performance of time series models considering the jumps, permanent component of volatility, and asymmetric information in predicting value-at-risk (VaR). We use ...

An international research team has developed an artificial intelligence (AI)-based model that uses genetic information to predict an individual's risk of developing Alzheimer's disease (AD) well ...

(MoneyWatch) There are many academic studies on the ability of macroeconomic variables (such as dividend yield, earnings-to-price ratio, volatility of stock prices, book-to-market ratio, and inflation ...

Covid, the war in Ukraine and inflation have created an unprecedented, uncertain and volatile environment that firms now need to navigate. However, one of the biggest challenges has yet to fully ...

You are responsible for risk management at the headquarters of a Fortune 1000 company. You and your team have done an outstanding job designing controls and implementing them across the company to ...

In today’s unpredictable financial and operational climate, accurate forecasting is no longer simply a useful advantage. It has become a critical necessity for survival, stability, and sustainable ...

Forbes contributors publish independent expert analyses and insights. I’m a political economist writing about geopolitical risk. Jul 01, 2020, 04:56pm EDT Jul 01, 2020, 05:04pm EDT This article is ...

Discover risk financing methods to minimize costs, assess risks, and maintain business financial stability for long-term growth.

The year is 1987. The worst storm in centuries is about to sideswipe the UK with hurricane-strength winds. Notoriously – folklorically – BBC meteorologist Michael Fish addresses a viewer’s concerns: ...