Incomplete-Market Equilibria Solved Recursively on an Event Tree / Bernard Dumas, Andrew Lyasoff.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- C63 - Computational Techniques • Simulation Modeling
- C68 - Computable General Equilibrium Models
- D52 - Incomplete Markets
- D58 - Computable and Other Applied General Equilibrium Models
- D91 - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
- G11 - Portfolio Choice • Investment Decisions
- G12 - Asset Pricing • Trading Volume • Bond Interest Rates
- Hardcopy version available to institutional subscribers
Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Working Paper | Biblioteca Digital | Colección NBER | nber w14629 (Browse shelf(Opens below)) | Not For Loan |
December 2008.
We develop a method that allows one to compute incomplete-market equilibria routinely for Markovian equilibria (when they exist). The main difficulty to be overcome arises from the set of state variables. There are, of course, exogenous state variables driving the economy but, in an incomplete market, there are also endogenous state variables, which introduce path dependence. We write on an event tree the system of all first-order conditions of all times and states and solve recursively for state prices, which are dual variables. We illustrate this "dual" method and show its many practical advantages by means of several examples.
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