Financial markets magazine

Please forward this error screen to miller. Enter the terms you wish to search for. Financial markets magazine London’s house prices are falling? On this blog we publish a new chart or map every working day and highlight our interactive-data features.

Enter the characters you see below Sorry, we just need to make sure you’re not a robot. Enter the characters you see below Sorry, we just need to make sure you’re not a robot. Can a Strategic CFO Be an Effective CEO? CFOs on the Move: Week Ending Jan. 300 million, most of which would go toward building LNG infrastructure. P cited leverage increases and turnaround execution risks.

Relax and unplug with our award-winning coverage. Opinions expressed by Forbes Contributors are their own. Any sufficiently advanced technology is indistinguishable from magic. By using predictive financial data analytics software, this cutting edge company aims to improve investor performance in complex financial markets, which is a quantum leap forward for a field that until recently, was stuck in the dark ages.

There was a vast body of knowledge around this subject, but it was all wrong. When the thermometer was invented, everything began to change. With the ability to take measurements, alchemy began to morph into chemistry and metallurgy. In Massengill’s mind, what happened with alchemy is the perfect metaphor for what’s happening with modern economics. Educated people rely on textbooks loaded with elegant equations, but anybody who knows anything about Austrian economics, for example, knows those equations are often times antiquated and irrelevant. Massengill’s company, Meraglim, doesn’t rely on textbooks. 9 million books, articles or transcripts a day.

Compare this with the average financial analyst who would most certainly feel overwhelmed with hundreds of headlines on their Bloomberg terminal each morning, and it’s easy to see the advantage of supercomputing when it comes to data analysis. How can analysts be expected to open those headlines up, figure out which ones matter, and integrate what happened with everything else that’s occurred and what they already know? That’s where a system like Meraglim’s RAVEN comes into play. With RAVEN, an analyst can map out the nodes that matter to them and task Watson with evaluating the world’s inputs to each of those nodes and updating them in real time. This makes the financial analyst’s morning routine look far different than it does now.