Many popular hedge fund models ignore the possibility of a sudden withdrawal of liquidity, while ratings agencies may make overly abstract or
unrealistic modeling assumptions and rely on the quality of the data assembled by Wall Street banks.
Not exact matches
The values from a
model with
unrealistic assumptions is highly unlikely to be a good match to reality and it's results should be downweighted, while ones that are better should count for more.
For good reason — the question can not be answered in another way than saying «the
models with
unrealistic assumptions and tuned to the bone say so.»
Would it be over simplifying to summarize your qualms about sensitivity pdfs as being too wedded to climate
modeling, inappropriate prior distributions, and
unrealistic assumptions of ignorance in priors?
In fact, I have always argued that the climate
models»
assumptions of strong positive feedback (they assume really, really high levels) is totally
unrealistic for a long - term stable system.