Parallel cartoons of fractal models of finance
Annals of Finance, 2005, vol. 1, issue 2, 179-192
Having been crafted to welcome a new scientific journal, this paper looks forward but requires no special prerequisite. The argument builds on a technical wrinkle (used earlier but explained here fully for the first time), namely, the author’s grid-bound variant of Brownian motion B(t). While B(t) itself is additive, this variant is a multiplicative recursive process the author calls a ‘‘cartoon.’’ Reliance on this and related cartoons allows a new perspicuous exposition of the various fractal/multifractal models for the variation of financial prices. These illustrations do not claim to represent reality in its full detail, but suffice to imitate and bring out its principal features, namely, long tailedness, long dependence, and clustering. The goal is to convince the reader that the fractals/multifractals are not an exotic technical nightmare that could be avoided. In fact, the author’s models arose successively as proper, ‘‘natural,’’ and even ‘‘unavoidable’’ generalization of the Brownian motion model of price variation. Considered within the context of those generalizations, the original Brownian comes out as very special and narrowly constricted, while the fractal/multifractal models come out as nearly as simple and parsimonious as the Brownian. The cartoons are stylized recursive variants of the author’s fractal/multifractal models, which are even more versatile and realistic. Copyright Springer-Verlag Berlin Heidelberg 2005
Keywords: Fractal; Multifractal; Cartoons; Roughness; Financial prices; G1 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:annfin:v:1:y:2005:i:2:p:179-192
Ordering information: This journal article can be ordered from
Access Statistics for this article
Annals of Finance is currently edited by Anne Villamil
More articles in Annals of Finance from Springer
Bibliographic data for series maintained by Sonal Shukla ().