Fund managers need to think outside the machine learning "black box" if they want to get the most from this powerful advance in analytical capability. Market data is simply too complex and noisy for the kind of predictive big data being used in other sectors.
Former PM and buy-side thought leader, Jason A. Voss, considers how the industry will evolve over the next 7-10 years, and the change that's needed to develop a new breed of successful active manager.
Despite a growing recognition of behavioral alpha, it's clear there are plenty of asset allocators who are still using a traditional framework to identify skilled managers. In the following email exchange, a fund manager challenges this status quo, advocating a new approach which recognises the value of combined human and data-driven decision-making.
Asset allocator, Emmet Maguire III, reflects on how it's become harder to find differentiated equity strategies, and why he's now seeking out managers who can demonstrate they are tackling cognitive bias and finding ways to continuously improve their investment process.
Incorporating behavioral science into your investment process doesn't have to be difficult. We present five simple techniques to reinforce the scientific rigor of your investment decision-making routine.
It's easy to postpone change - especially in a difficult market environment. But now is the time for active managers to make better use of the new technology now available to them, and level the playing field with the growing sources of competition.
In these free webinar recordings, two highly respected investment coaches talk about the everyday thoughts and reactions to be aware of as you start to factor cognitive science into your own investment activity.
