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Alternative Thinking

Can Machines Time Markets? The Virtue of Complexity in Return Prediction

Common wisdom has suggested that small, simple models are best suited for market timing applications, given finance’s “small data” constraint and naturally low predictability. However, we show that complex models better identify true nonlinear relationships and therefore produce better market timing strategy performance. We validate this "virtue of complexity" result in three practical market timing applications.

Alternative Thinking

2022 Capital Market Assumptions for Major Asset Classes

We update our estimates of medium-term (5- to 10-year) expected returns for major asset classes. We also include an analysis that attempts to reconcile ever-lower expected returns with ever-higher realized returns and suggests practical strategic steps to boost portfolio expected returns.