حل مدل بازارهای ناقص با عدم قطعیت کل با استفاده از الگوریتم "کروسل - اسمیت" و شبیه سازی غیر تصادفی

This article describes the approach to computing the version of the stochastic growth model with idiosyncratic and aggregate risk that relies on collapsing the aggregate state space down to a small number of moments used to forecast future prices. One innovation relative to most of the literature is the use of a non-stochastic simulation routine.