The increasing applications of artificial intelligence and machine learning in financial services – from robo advisory platforms to algorithmic stock trading to risk modelling – is disrupting decades old processes. As the industry embraces AI-led innovation, can regulators keep up? And more importantly, how might technology solve some of their biggest challenges?
Just last week, the SEC published a new strategic plan covering 2018-2022. It’s focused on making the agency more effective in an ever-evolving market and provides an effective roadmap to areas of regulatory focus in US asset management for the foreseeable future.
More than a year in the making, the CBI issued revised ETF policy decisions in the form of the “CBI Feedback Statement.” The much-anticipated statement provides the ingredients to increase greater efficiency and product innovation in the rapidly growing ETF market.
The SEC has continued to advance its vast regulatory agenda through the summer months. As temperatures remain high so too do US financial regulation demands.
Almost a decade on from the initial attempt, the US Securities and Exchange Commission (SEC) has proposed a new rule that will make bringing an ETF to market faster and less expensive.