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Based on a classical financial market model different model variants known from the literature are discussed and analyzed, each focussing on modeling financial markets as a nonlinear dynamic system by introducing the formation of (heterogeneous) beliefs about future asset prices into the model...
Persistent link: https://www.econbiz.de/10009428980
response by changing the slope of the demand schedule can thrust the model into instability, chaos, and extinction, without … via slope preserving increases in market demand can push the model into instability, chaos, and even extinction. Finally …, we show that similar adjustments in market demand may be capable of eliminating instability and chaos rooted in powerful …
Persistent link: https://www.econbiz.de/10009444668
Numerical weather forecast errors are generated by model deficiencies and by errors in the initial conditions which interact and grow nonlinearly. With recent progress in data assimilation, the accuracy in the initial conditions has been substantially improved so that accounting for systematic...
Persistent link: https://www.econbiz.de/10009450747
expensive. The polynomial chaos approach has been shown to be more efficient than Monte Carlo for quantifying the effects of … polynomial chaos theory for parameter estimation: a Bayesian approach, and an approach using an extended Kalman filter (EKF) to … obtain the polynomial chaos representation of the uncertain states and the uncertain parameters. The two methods are applied …
Persistent link: https://www.econbiz.de/10009457571
significantly reduce uncertainty through traditional approaches may in part be explained by chaos theory. This paper defines … deterministic chaos and demonstrates that supply chains can display some of the key characteristics of chaotic systems, namely …: chaos exhibits sensitivity to initial conditions; it has Islands of Stability; generates patterns; invalidates the …
Persistent link: https://www.econbiz.de/10009463190