A mathematical proof of the existence of trends in financial time series
Abstract
We are settling a longstanding quarrel in quantitative finance by proving the existence of trends in financial time series thanks to a theorem due to P. Cartier and Y. Perrin, which is expressed in the language of nonstandard analysis (Integration over finite sets, F. & M. Diener (Eds): Nonstandard Analysis in Practice, Springer, 1995, pp. 195--204). Those trends, which might coexist with some altered random walk paradigm and efficient market hypothesis, seem nevertheless difficult to reconcile with the celebrated Black-Scholes model. They are estimated via recent techniques stemming from control and signal theory. Several quite convincing computer simulations on the forecast of various financial quantities are depicted. We conclude by discussing the rôle of probability theory.
Domains
Statistical Finance [q-fin.ST] Computational Engineering, Finance, and Science [cs.CE] Computational Finance [q-fin.CP] Signal and Image processing Statistics [math.ST] Statistics Theory [stat.TH] Logic [math.LO] Classical Analysis and ODEs [math.CA] Probability [math.PR] Automatic Control Engineering Signal and Image Processing Applications [stat.AP]
Origin : Files produced by the author(s)
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