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The first two parts of this research separated three questions that are often collapsed into one. The first asked whether a more sophisticated machine-learning architecture necessarily produces better equity forecasts. Ridge regression outperformed the Multilayer Perceptron, Graph Convolutional Network and Graph Attention Network
The rapid growth of artificial intelligence has driven vast demand for computing power. More specifically, hyperscale cloud providers and tech giants demand specialised computer chips known as graphics processing units (GPUs), which are used to train and run AI models.
US equities staged a broad-based rebound this week, reversing nearly all of the prior week’s post-midterm losses as implied volatility subsided, with the VIX falling 24.73%, and corporate earnings calmed fears of an immediate unwind in the AI trade. Crucially, the market rallied despite sticky inflation data that cemented expectations for another Federal Reserve rate hike in December.
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