TSAI launches breakthrough AI sentiment prediction model, leading the new trend of market sentiment analysis
TSAI leads the way: the world's first deep learning-based sentiment prediction model enables quantitative investment sentiment analysis
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Commodity Futures Roll Return “Tax”: Addressing Near-Term Headwinds
Over the past decade, the cost of rolling futures contracts, rather than falling commodity prices, has been the biggest drag on the performance of commodity indexes.
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What is ESG? It depends on who you ask
We lay out some of the ESG data challenges facing investors, explore why inconsistencies may exist, and discuss whether it makes sense to group the three components of ESG into a single, unified investment theme.
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Unlimited curiosity and maximum efficiency: Engineering education at TSAI
Why we offer it, what we teach, and our focus on the benefits of continuous learning.
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Quantifying “unconventional” risks
As we head into 2024, it may be worth paying attention to “unconventional” risks, including monetary policy risk, political risk, and geopolitical risk.
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Centrality measures for large graphs: exact, approximate, and distributed algorithms
Relationships between entities, such as friendship between people and similarity between objects, can be naturally represented as a graph (or network), where objects are nodes (or vertices) of the graph and edges connect related nodes.
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