Using textual data extracted by Causality Link platform from a large variety of news sources (news stories, call transcripts, broker research, etc.),...

To understand how useful AI is in improving ESG data.

We ask how the ESG performance of firms affects the asset allocation of a large sample of French employees between their employer’s stock and alternative...

There is a large debate on the optimal degree of savings’ liquidity in retirement systems.

We study the introduction of robo-advising on a large representative sample of Employee Saving Plans.

To avoid the worst climate change scenario, Greenhouse Gas (GHG) emissions should be reduced drastically during the next decades.

This paper employs administrative data from one of the largest plan providers in France to investigate the role of plan and default characteristics in...

As a large number of investors turn to green assets, this raises questions about investors’ impact on the economy, in particular through their influence...

In this paper, we propose a new method to estimate nonfundamental demand shocks for green financial assets based on the arbitrage activity of exchange-traded...

This literature review discusses how to design a default life-cycle asset allocation for a defined contribution (DC) pension scheme.

Discover how COP26 and COVID-19 are increasing pressure for a green future in Amundi's Pension Funds Letter 12. Explore the latest insights and analysis...

In the wake of the Covid-19 pandemic, a lot of discussion has focused on the worsening of the retirement prospects of savers around the world. Indeed,...

We start by considering some of the key reasons behind the academic and industry interest in robo-advisors. We discuss how robo-advice could potentially...

We analyze the portfolio choices of approximately 913,000 active participants in employee saving plans in France.