With various performance metrics to choose among, might fund managers be tempted to cherry-pick those that reflect most favorably on their performance?
A relatively simple filter can serve as a helpful initial screen of potential investment managers, quants in particular.
Does it make sense to reframe the active vs. passive debate? Perhaps the question — active or passive? — is not the right one to ask.
As portfolio managers, being able to show our investors — with data-driven evidence — that we know exactly what we are good at and the steps we are taking to improve goes a long way.
The most important portfolio manager skill metric is often overlooked.
Outperformance and alpha are not exactly the same thing. So, how do we explain the difference?
How are artificial intelligence, machine learning, blockchain, and big data transforming manager selection and due diligence processes? Michael Oliver Weinberg, CFA, shares his take in an interview with Antonella Puca, CFA, CIPM.
There are three intangibles that all good portfolio managers have, says Jacques Lussier, CFA, but factor-based benchmarks are still the best way to distinguish the effective managers from the lucky ones.
Tom Brakke, CFA, says that due diligence in manager selection has become far too much of a standardized documentation process for advisers.
Manager selection still does matter. To help readers navigate the manager selection process and stay current on the latest in both theory and practice, Mark Harrison, CFA, has compiled a range of informative materials from CFA Institute publications.
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