Buchanan: The Financial Threats That Machines Can See

(Bloomberg View) – Humans have a terrible track record of predicting financial crises in time to fend them off. Some computer scientists think that algorithms might help. Given the right information, some crises can be foreseen. In “The Big Short”, Michael Lewis told the story of the scattered few who saw the imbalance growing in the mortgage market and profited as a result. Over decades, academic research has shown that many banking crises come with early warning signals, such as rapidly increasing debt and leverage. Yet economists and policy makers routinely miss such danger signs, in part because the financial world is so complex. So can computers see what humans cannot? In a new study, computer scientists Samuel Rönnqvist and Peter Sarlin explore what can be achieved with so-called Deep Learning…

Link to Full Article: Buchanan: The Financial Threats That Machines Can See

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!