2023 Investment Outlook - Some light for investors after the...
Must read articles
What AI reveals about stock prices?- this piece outlines research by Amundi on the usefulness of using AI in stock analysis and valuation.> 10 minutes
Using textual data extracted by Causality Link platform from a large variety of news sources (news stories, call transcripts, broker research, etc.), we build aggregate news signals that take into account the tone, the tense and the prominence of various news statements about a given firm.> 10 minutes
This paper proposes a weighted group neural network model and reexamines whether treasury bond returns are predictable when real-time, instead of fully-revised, macro information is used.> 10 minutes
The most common models to assess asset returns are a linear combination of risk factors.> 10 minutes
In this research article, Amundi Quantitative Research explores the use of graph theory and neural networks in asset management.> 10 minutes
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.> 10 minutes
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 address some fundamental problems in investors’ decision making as well as in traditional financial advice.> 10 minutes
In this article, we explore generative models in order to build a market generator. The underlying idea is to simulate artificial multi-dimensional financial time series, whose statistical properties are the same as those observed in the financial markets.> 10 minutes
Portfolio optimization emerged with the seminal paper of Markowitz (1952). The original mean-variance framework is appealing because it is very efficient from a computational point of view.> 10 minutes
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