Fractal Properties in Economics
Abstract
Scaling properties in financial fluctuations are reviewed from the standpoint of statistical physics. We firstly show theoretically that the balance of demand and supply enhances fluctuations due to the underlying phase transition mechanism. By analyzing tick data of yendollar exchange rates we confirm two fractal properties: 1 The distribution of rate change in a fixed ticks is approximated by a symmetric stretched exponential function for a wide range of time intervals; 2 the interval time distribution of trades nearly follows a power law. Empirical fractal properties in companies' financial data, such as distributions and fluctuations in assets and incomes are discussed with a simple model. The importance of methods and theories for phase transitions is discussed.
 Publication:

arXiv eprints
 Pub Date:
 August 2000
 arXiv:
 arXiv:condmat/0008057
 Bibcode:
 2000cond.mat..8057T
 Keywords:

 Condensed Matter  Statistical Mechanics;
 Quantitative Finance  General Finance;
 Quantitative Finance  Statistical Finance
 EPrint:
 15 pages, 10 figures http://www.hiho.ne.jp/f6586719/ecph/index.html in 'Paradigms of Complexity', World Scientific, ed. Miroslav M. Novak, (2000)(ISBN 9810242921), pp.243258