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Noncomputability, unpredictability, and financial markets
Author(s) -
Graça Daniel S.
Publication year - 2012
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1002/cplx.21395
Subject(s) - valuation (finance) , cash flow , financial market , operator (biology) , discounted cash flow , computer science , mathematical economics , asset (computer security) , computable analysis , simple (philosophy) , value (mathematics) , finance , economics , actuarial science , computable function , algorithm , biochemistry , chemistry , philosophy , computer security , repressor , epistemology , machine learning , transcription factor , gene
One of the most significant achievements from theoretical computer science was to show that there are noncomputable problems, which cannot be solved through algorithms. Although the formulation of such problems is mathematical, they often can be interpreted as problems derived from other fields, like physics or computer science. However, no non‐computable problem with economical or financial inspiration has been presented before. Here, we study the problem of valuation: given some adequate data, find the value of an asset. Valuation is modeled mathematically by the discounted cash flow operator. We show, using surprisingly simple arguments, that this operator is not computable. As theoretically, financial markets should trade assets based on their fair value, our result suggests that unpredictability of such markets may partially stem from inherent noncomputable behavior. A discussion of this result is also included. © 2012 Wiley Periodicals, Inc. Complexity, 2012

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