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grass on a very hot summer day in California The slightest disagreeable development can trigger a wild re of uncontrollable dimensions Of course, trade concentration is an issue for any type of strategy, quant or not But quant trading may lend itself to be particularly exposed to such risk The real caveat, again, is that overcrowding may be more feasible in quant territory, on account of the intrinsic nature of the quant approach To put it bluntly, it may be far easier to copy each other s moves (in exquisite detail) when computational programs, math, and theory give the orders After all, quant people mechanically abide by their models, so if you want to be like them and know what approach they are using and replicate it, you are pretty much guaranteeing that you will both behave similarly, all the time.

A hunch ( buy Google ) is more dif cult to be faithfully imitated by a precise group of people In contrast, a theorymodel is easily shared by like-minded people who studied in the same universities and under the same professors (or were even the professors themselves), and by those who are aware of which models those other guys are using; hunches are much more intrinsically individualistic, much less replicable, much less knowable, much less disseminateable; the hunch is never mistaken for a certainty (even if you fanatically believe in the hunch you know, deep inside, that it s only a hunch), the theory-model can very much be assumed to be an inviolable certainty, thus easily shared by analytics-adhering folks Precise mathematical concoctions are much more amenable to exact replication and copying than human emotions.

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Technical requirements are partly more precise expressions of the business requirements, and partly follow from the technical environment that the service model needs to integrate with. Within the TeleManagement Forum (TMF) New Generation Operations Support Systems (NGOSS) framework, this is described using contracts within a lifecycle. The service model should not be technologyspeci c, yet it should allow for modelling of different kinds of systems within the generic framework of Figure 7.3. In particular, dynamic service-related capabilities of mobile networks should be supported, in addition to relatively simple provisioning of IP-based systems. Similarly, both static provisioning of services and dynamic models such as web services should be supported, in the interests of generality. Looking at the above from the viewpoint of services, the service model should not be limited to current services, but should contain the essential concepts needed for also expressing future services. An example of a topic area (the importance of which appears to be on the rise) is management of terminal information; many of the services require settings to be made in the endpoints, and it is anticipated that usage context information may increasingly be utilized to provide the right kinds of services to end-users.

Page 259: As recently as a year ago. Kate Kelly, How Goldman Won Big on Mortgage Meltdown, Wall Street Journal, December 14, 2007. Page 260: If the normality tale seemed tting. Ibid. Page 260: With the subprime market experiencing a. Ibid. Page 263: Leading risk manager and famed quant Ricardo. Ricardo Rebonato, The Plight of the Fortune Tellers (Princeton University Press, 2007). 9 An Unhealthy Yearning for Precision Page 271: Finance theory can thus present us. Nassim Taleb, The Fourth Quadrant: A Map of the Limits of Statistics (September 15, 2008), www.edge.org/3rd culture/taleb08/taleb08 index.html. Page 272: It doesn t matter that formal insurance policies. Bruce Jacobs, Capital Ideas and Market Realities (Wiley-Blackwell, 1999), 45. Page 273: by the end of 1995, a dollar. Dunbar, Inventing Money, 149. Page 273: almost $1 billion, not too far from. Ibid., 180. Page 274: And their VaR was telling them. Ibid., 188. Page 275: That is, VaR-guided risk-reduction is. Ibid., 202 205. Page 281:Science continues to be represented by some. Ian Hughes, We Are Only Human, New Scientist, March 23, 1996, www.newscientist.com/article/mg14920227.100-forum we-areonly-human biian-hughesbi-ponders-the-limit-of-what-we-canknow.html. Page 281: This dangerous idea threatens to knock away. Ibid. Page 284: While the assumption of normality, in a sinister. MacKenzie, An Engine, Not a Camera, 208 210. Page 285: An unabashed VaR critic, inconsolably wondering. Richard Hoppe, It s Time We Buried Value-at-Risk, Risk Professional, July/August 1999, 14. 10 We Need FAT Tony

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