Using a variety of methods researchers have
documented systematic biases (e.g., underreaction, overreaction, etc.) that occur among professional investors as well as novices.
Not exact matches
The attractiveness of an automated approach is that rigorous statistical techniques can be applied to the assessment of thousands of opportunities, and that a
systematic process can protect investors from well -
documented behavioral
biases that often detract from investment performance.
This
systematic bias has been
documented in great detail in a number of lengthy counter reports.
Homogenization models appear to suffer from the same
systematic biases that caused the gross failure of global climate models to reproduce the well
documented Arctic warming of the 30s and 40s illustrated and discussed in part 1 and part 2.
In Phase II of AeroCom, a large - scale model intercomparison was performed to
document the current state of OA modeling in the global troposphere, evaluate the OA simulations by comparison with observations, identify weaknesses that still exist in models, explain the agreements and disagreements between models and observations, and attempt to identify and analyze potential
systematic biases in the models.