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Fire sales in a model of complexity by Ricardo J. Caballero

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Published by Massachusetts Institute of Technology, Dept. of Economics in Cambridge, MA .
Written in English


Book details:

Edition Notes

Statement[by] Ricardo J. Caballero [and] Alp Simsek
SeriesWorking paper series / Massachusetts Institute of Technology, Dept. of Economics -- working paper 09-28, Working paper (Massachusetts Institute of Technology. Dept. of Economics) -- no. 09-28.
ContributionsSimsek, Alp, Massachusetts Institute of Technology. Dept. of Economics
The Physical Object
Pagination33 leaves :
Number of Pages33
ID Numbers
Open LibraryOL24647124M
OCLC/WorldCa672350064

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crisis ensues. The model exhibits a powerful ficomplexity-externality.flAs a potential asset buyer chooses to pull back, the size of the cascade grows, which increases the degree of complexity of the environment. This rise in perceived complexity induces other healthy banks to pull back, which exacerbates the –re sale and the cascade. The model exhibits a powerful "complexity-externality." As a potential asset buyer chooses to pull back, the size of the cascade grows, which increases the degree of complexity of the environment. This rise in perceived complexity induces other healthy banks to pull back, which exacerbates the fire sale . Fire Sales in a Model of Complexity Ricardo J. Caballero and Alp Simsek J Abstract In this paper we present a model of –re sales and market breakdowns, and of the –nancial ampli–cation mechanism that follows from them. The distinctive feature of our model is the central role played by endogenous (payo⁄relevant) complexity: As. to continue action on the fire. Incident Complexity Analysis YES NO A. Fire Behavior (Observed or Predicted) 1. Burning index (from on-site measurement of weather conditions) predicted to be above the 90% level using the major fuel model in which the fire is burning. 2. Potential exists for extreme fire behavior (fuel moisture, winds, etc.). Size: 33KB.

•Provides decision support that highlights the risk to values associated with prescribed fire implementation. • Identifies the technical difficulty (complexity) of managing the risk to values. • Informs the complexity rating determination of high, moderate, or low for a prescribed fire. • Identifies prescribed fire plan elements that may pose special problems or concerns. sing: Fire sales.   How to Find the Model Name. This information is easily accessible in the Fire Tablet’s settings screen. To open it, pull down from the top of the screen, and then tap the gear icon. Under the Device section on the Settings screen, tap the “Device Options” entry. Look for the “Device Model” field. 1 Introduction to Complexity Theory \Complexity theory" is the body of knowledge concerning fundamental principles of computa-tion. Its beginnings can be traced way back in history to the use of asymptotic complexity and reducibility by the Babylonians. Modern complexity theory is the result of research activitiesFile Size: KB.

Complexity by M. Mitchell Waldrop, Simon and Schuster, USA, ; Penguin, UK, , ff. The way the world works By Howard A. Jones Mitchell Waldrop qualified initially with a PhD in particle physics but since then has pursued a career in science journalism. This book is /5(82). Modeling Wildfire Incident Complexity Dynamics Article PDF Available. used Markov chains to model fire spread across gridded. Center’s ‘‘Red Book. Wildland Fire Risk and Complexity Assessment. The Wildland Fire Risk and Complexity Assessment should be used to evaluate firefighter safety issues, assess risk, and identify the appropriate incident management organization. Determining incident complexity is a subjective process based on examining a combination of indicators or factors. An. complexity changes. Methods A Markov Model of Incident Complexity Dynamics Figure 3 presents a conceptual representation of a first-order Markov chain model of incident complexity dynamics. To simplify the presentation here only three states are used (H=high, L=low, and C=contained). In this model, at each time step, incident complexity Cited by: