Pathways to Randomness in the Economy: Emergent Nonlinearity and Chaos in Economics and Finance
AbstractThe paper: (1) Gives a general argument why research on nonlinear science in general and chaos in particular is important in economics and finance. (2) Puts forth two definitions of stochastic nonlinearity (IID-Linearity and MDS-Linearity) for nonlinear time series analysis and argues for their usefulness as orgainizing concepts not only for discussion of nonlinearity testing in time series econometrics but also for building a new class of structural asset pricing models. (3) shows how to use ideas from interacting particle systems theory to build structural asset pricing models that turn IID-Linear or MDS-Linear earnings processes into non MDS-Linear equilibrium returns processes.
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Bibliographic InfoPaper provided by Santa Fe Institute in its series Working Papers with number 93-02-006.
Date of creation: Feb 1993
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Other versions of this item:
- William A. Brock, 1993. "Pathways to randomness in the economy: Emergent nonlinearity and chaos in economics and finance," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 8(1), pages 3-55.
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