Linda Gruendken: Cycling in Cambridge and the randomness of markets

I chat with Linda, the lead scientist from GAM Systematic CANTAB, and recently named as one of the top 50 women in the hedge fund industry. We have a fascinating conversation about the difference between quant and systematic approaches, and the vast uncertainty of financial markets. We talk about the usefulness of machine learning models and the critical role that investment horizon plays.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.

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Alpha at North Dakota: Tracking error key to portfolio construction

The $8 billion North Dakota Department of Trust Lands is rolling out a core-satellite approach to portfolio construction in a bid to control tracking errors. But CIO Frank Mihail explains that in some asset classes like infrastructure, the process is more complicated.

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