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  • New York Meeting: How Correlated are the Quants? and From Document to Database Tuesday, November 25, 2008 - 5:45pm
  • Boston Meeting: Topic TBA Tuesday, December 16, 2008 - 6:15pm
  • New York Meeting: Topic TBA Tuesday, March 24, 2009 - 5:45pm
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Boston File: Risk Stabilization and Asset Allocation
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Boston File: Slides for Optimal Trading Strategy With Optimal Horizon
  814
 
Wall Street to write off another 300,000,000 staff
  1111
 
Boston File: Personal Investing Policy
  936
 
NewYork File: NewDirectionsBehavioralF-Calianos-20080325a
  956
 
NewYork File: TrendyTrenDont-Gilbert-20080325b
  748
 
NewYork File: Volatility As An Asset Class
  1286
 
NewYork File: Eliminating Tail Risk In Trading
  970
 
Boston File: Agency costs of institutional trading
  745
 
New York Chapter Application for Membership
  978
 
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Home » 2008 » April

Events

«April 2008»
Date sort iconTitle
Tuesday, April 8, 2008 - 5:30pmSan Francisco Meeting: The Shadow of Disaster
Tuesday, April 15, 2008 - 6:15pmBoston Meeting: Personal Investing Policy
Wednesday, April 16, 2008 - 6:00pmDenver Meeting: Strategy Based Investing
Tuesday, April 22, 2008 - 5:45pmNew York Meeting: The Inefficient Market for Quantitative Investment Professionals - More Than Just Showing Up

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Quotations

For a dynamical system ... to be orderly, it must exhibit homeostasis; that is, it must be resistant to small perturbations.

In the chaotic regime, similar initial states tend to become progressively more dissimilar, and hence to diverge farther and farther apart in state space, as each passes along its trajectory. This is just the butterfly effect and sensitivity to initial conditions. Small perturbations amplify. Conversely, in the ordered regime, similar initial states tend to become more similar, hence converging closer together as they flow along their trajectories. This is just another expression of homeostasis. ... networks at the phase transition have the property that nearby states neither diverge nor converge.
— Stuart Kauffman in At Home in the Universe; The Search for the Laws of Self-Organization

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