This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers liability liquidity risk (or funding liquidity) modeling, the second dimension focuses on asset liquidity risk (or market...

This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers liability liquidity risk (or funding liquidity) modeling, the second dimension focuses on asset liquidity risk (or market...

This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers liability liquidity risk (or funding liquidity) modeling, the second dimension focuses on asset liquidity risk (or market...

The most common models to assess asset returns are a linear combination of risk factors. We have employed tree-based machine learning algorithms to capture nonlinearities and detect interaction effects among risk factors in the EUR and USD credit space. We have built a nonlinear credit pricing...

In the field of factor investing, quality is undoubtedly the equity factor with the weakest consensus. This research investigates the best way to define it. In order to capture the multi-faceted reality of the factor depicted in academia, we address the quality factor through a multidimensional...

In this paper, we investigate the relationship between biodiversity and companies, through the lens of corporate bonds. We focus on acute biodiversity events and address biodiversity as a risk, considering its looming losses. We illustrate the material and tangible operational risk that may...

The purpose of this paper is to appraise recent ESG trends in global equity markets. It contributes to a broader research project started at Amundi in 2014 on the relevance of ESG. Since the latest update in 2019, we have lived through a global pandemic that profoundly reshaped the global...

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. Based on these metrics, we construct timeseries that represent...