The most common models to assess asset returns are a linear combination of risk factors.

In this research, we show that variables from the Global Database of Events, Language and Tone (GDELT) convey significant informational content that can improve on a purely macroeconomic approach when modeling the US equity market.

Understanding how artificial intelligence could help analyse the current state of the international situation in order to provide some projections on the future.

These are days to be optimistic if you are an Asset Manager. And this is not just because the industry has been doing well and the fundamentals remain strong going forward. The future looks bright because the same technological forces that are being so disruptive, present an equal number of opportunities for those who are prepared to embrace change.

We study the introduction of robo-advising on a large representative sample of Employees Saving Plans. The robo-advisor proposes a portfolio allocation and alerts investors if their allocation gets too far from the target, while investors remain free to follow or ignore the advices.