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America's top banker sounds warning on US stock market fall

BBC News

America's top banker sounds warning on US stock market fall There is a higher risk of a serious fall in US stocks than is currently being reflected in the market, the head of JP Morgan has told the BBC. Jamie Dimon, who leads America's largest bank, said he was far more worried than others about a serious market correction, which he said could come in the next six months to two years. In a rare and wide-ranging interview, the bank boss also said that the US had become a less reliable partner on the world stage. He cautioned he was still a little worried about inflation in the US, but insisted he thought the Federal Reserve would remain independent, despite repeated attacks by the Trump administration on its chair Jerome Powell. Jamie Dimon was in Bournemouth, where he was announcing an investment of about £350m in JP Morgan's campus there, as well as a £3.5m philanthropic investment in local non-profits.


Supplementary Materials: SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Anonymous Author(s) Affiliation Address email A Implementation Details

Neural Information Processing Systems

V alues are in kW of each 15 min. All time labels report to Portuguese hour. EEG signals without overlapping and get 371,055 univariate brainwaves. Samples are organized in (Train/V alidation/Test). Every subject is recorded for 23.6 seconds of brain activities.



We Found the 267 Best Prime Day Deals of 2025: Up To 55% Off

WIRED

This Philips Norelco is already a champion of versatility matched with low cost--a Swiss army knife of beard, head, burns, and eyebrow guards with a nose trimmer to boot. The trimmer is high-rpm, but still quiet. The guardless blade shaves closer than most, and the shaving foil is even better. The battery lasts more than five hours. Its metal chassis offers comforting durability and heft. And unlike Philips' 9000 series, it can trim while plugged into the wall. The only real drawback is all those guards are difficult to sort and keep track of.


Recurrent Acceleration Network for Long-range Time Series Forecasting

Neural Information Processing Systems

Previous works have partially addressed these issues separately, but have not been able to address all of them simultaneously. Meanwhile, their time and memory complexities are still not sufficiently low for long-range forecasting.