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From: | Pietro Terna |
Subject: | Re: [Swarmfest2006] Keynote speakers |
Date: | Fri, 21 Apr 2006 13:49:54 +0200 |
Pietro Terna wrote:
I disagree totally: abm in finance is about behaviorWell, let me clarify.. On NYSE or LSE, for example, the transaction history against the order books for stocks are recorded. On these transaction histories are the member and clearing (bank) codes of the traders. So the behavior of individuals can be observed directly, and then some function to describe them inferred. While the inference process can be done using ABM, ABM models are expensive computationally, and there is a lot of data to fit. So of course it is about behavior, but compared to many other areas of research, there is an unusually good means for evaluating models (and in turn whether their complexity is justified). These are datasets with subsecond resolution that go on for years across equities on multiple exchanges -- terabytes of data.
Dealing with all this is a big practical job, so given the choice between making a complex agent model and effectively measuring the data, I'd push for the latter.
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