In this paper we extend our 2024 analysis by focusing on differentiating macroeconomic productivity gains enabled by AI across countries.

This paper aims to examine the SDGs' framework and question its implementation by companies.

Harness the potential of finance with our ML algorithms. BOA optimizes long-short strategies using diverse stock return forecasts from various models....

Drive the net-zero transition and monitor clean tech innovation and mineral dependencies effortlessly. Boost renewable energy and low-emission solutions...

This paper proposes a comprehensive climate stress testing approach to measure the impact of transition risk on investment portfolios.

This paper outlines how digitalisation is impacting the behaviour and decisions of retail investors.

Since its introduction in 2017 (Vaswani et al., 2017), the Transformer model has excelled in a wide range of tasks involving natural language processing...

What AI reveals about stock prices?- this piece outlines research by Amundi on the usefulness of using AI in stock analysis and valuation.

This paper proposes a weighted group neural network model and reexamines whether treasury bond returns are predictable when real-time, instead of fully-revised,...

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

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

In this research article, Amundi Quantitative Research explores the use of graph theory and neural networks in asset management.

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...

This article assesses the communication of the European Central Bank (ECB) using Natural Language Processing (NLP) techniques.

This article develops the theory of risk budgeting portfolios, when we would like to impose weight constraints.