  We present a new framework for modeling the statistical behavior of both
fully developed turbulence and short-term dynamics of financial markets based
on the nonextensive thermostatistics proposed by Tsallis. We also show that
intermittency -- strong bursts in the energy dissipation or clusters of high
price volatility -- and nonextensivity -- anomalous scaling of usually
extensive properties like entropy -- are naturally linked by a single parameter
q, from the nonextensive thermostatistics.
