On single point forecasts for fat-tailed variables.

Int J Forecast

M Open Forecasting Center and Institute For the Future, University of Nicosia, Nicosia, Cyprus.

Published: October 2020

We discuss common errors and fallacies when using naive "evidence based" empiricism and point forecasts for fat-tailed variables, as well as the insufficiency of using naive first-order scientific methods for tail risk management. We use the COVID-19 pandemic as the background for the discussion and as an example of a phenomenon characterized by a multiplicative nature, and what mitigating policies must result from the statistical properties and associated risks. In doing so, we also respond to the points raised by Ioannidis et al. (2020).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572356PMC
http://dx.doi.org/10.1016/j.ijforecast.2020.08.008DOI Listing

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