In recent years, physicists have begun to apply concepts and methods of sta
tistical physics to study economic problems, anti the neologism "econophysi
cs" is increasingly used to refer to this work. Much recent work is focused
on understanding the statistical properties of time series. One reason for
this interest-is that economic systems are examples of complex interacting
systems for which a huge amount of data exist, and it is possible that eco
nomic time series viewed from a different perspective might yield new resul
ts. This manuscript is a brief summary of a talk that was designed to addre
ss the question of whether two of the pillars of the field of phase transit
ions and critical phenomena - scale invariance and universality - call be u
seful in guiding research on economics. We shall see that while scale :inva
riance has been tested for many years, universality is relatively less freq
uently discussed. This article reviews the results of two recent studies -
(i) The probability, distribution of stock price fluctuations: stock price
fluctuations occur in all magnitudes, in analogy to earthquakes - from tiny
fluctuations to drastic events, such as market crashes. The distribution o
f price fluctuations decays with a power-law tail well outside the Levy sta
ble regime and describes fluctuations that differ in size by as much as eig
ht orders of magnitude. (ii) Quantifying business firm fluctuations: We ana
lyze the Computstat database comprising all publicly traded United States m
anufacturing companies within the years 1974-1993. We find that the distrib
utions of growth rates is different for different bins of firm size, with a
width that varies inversely with a power of firm size. Similar variation i
s found for other complex organizations, including country size, university
research budget size, and size of species of bird populations. (C) 2000 El
sevier Science B.V. All rights reserved.