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lage surrounded on all sides by fire, of afterwards when you discover there isn't a tree standing for twenty miles in any direction. In this light, Cooper's suggestion that central banks should aim for a pattern of small business cycles is eminently sensible. Simply reducing leverage and excess liquidi
mp/econophysics/abstracts.html Clementi F, Gallegati M, 2005. Power law tails in the Italian personal income distribution. Physics A 350, 427-438. Cooper G, 2008. The origin of financial crises: Central banks, credit bubbles and the efficient market fallacy. London: Harriman House. Corbett _I, Jenkinso
al and ecological scientists have the right mathematical tools for creating a radical and effective new economics, both specifically in the form of the Lotka-Volterra and maximum entropy production models, and more generally in their understanding of complex inter-related evolving systems. Ultimately this maths f
as include recent research in market microstructure, liquidity, post-Keynesian pricing theory as well as the work of Foley, Keen, Smithers, Shiller, Cooper, Pettis, Pepper & Oliver, Mehrling, Lyons and others. Neoclassical economics, while forming an intellectually beautiful framework, has proved of l
rom top to bottom. But this still results in a distribution with a large bias giving most of the wealth to a minority of individuals. Going back to the Lotka-Volterra and GLV models discussed in section 1.2, it is better to abandon the predator-prey model of foxes killing rabbits, and instead think in terms of a '
ciers, people such as Pettis, Shiller, Smithers, Cooper, Pepper & Oliver have then made insightful attemp
this is a chaotic model, not a stochastic one. There is no stochasticity in this model. All fluctuations in the model are created endogenously from the Lotka-Volterra like differential equations in the model. Figure 4.3.4 shows the detail of couple of cycles. Figure 4.3.4 here These are real live Minskian / Aus
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