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Nvidia Corp.’s market performance over the past six months is a good illustration of the difference between a good company and a good stock.
Nvidia — the company — has performed phenomenally. Its cumulative earnings per share over the past two quarters were more than 800% higher than the comparable two-quarter total a year earlier. Yet Nvidia’s stock NVDA fell after the company’s earnings report last week.
Hammers are great at knocking in nails. It’s the job for which they were made. Bankers don’t need to tackle that job very often – professionally, at least – so banks don’t issue hammers en masse to the workforce.
Artificial intelligence, on the other hand, is great at a whole slew of things. Banks have responded by giving staff access to it by way of general-purpose assistants and co-pilots. But when you have an all-purpose tool, where do you start? What should you use it for? Everything?
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Every day, thousands of bilateral trades in cash and derivative instruments are arranged via Bloomberg instant messages on the tech firm’s ubiquitous terminals, with parties sending out requests for quotes (RFQs), haggling over prices, and exchanging market colour.
However, the process is often cumbersome, requiring salespeople to manually cut and paste information between chat windows. This slows down pricing and results in patchy data capture.
But moves by Bloomberg to offer automated RFQ
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