This paper studies how one currency market affects another currency market in a different time zone, using various contracts of the opening and closing yen-dollar exchange rates traded in Tokyo, London, and New York. We find strong and consistent evidence that the three major currency markets...

Using probability distribution techniques, this paper explores whether any differences exist between the returns and volatility of yen/dollar spot markets in Tokyo, London, and New York. After the intraday returns were fit into probability distributions, New York is found to have the highest...

Using probability distribution techniques, this article explores whether any differences exist between the returns and volatility of yen/dollar spot markets in Tokyo, London and New York. After the intraday returns were fit into probability distributions, New York is found to have the highest...

This study examines the statistical properties of volatility. Fractal dimension, probability distribution and two-point volatility correlation are used to measure and compare volatility among six different markets for the 12-year period from Jan. 1 1990 to Dec. 31 2001. New York market is found...

Scaling, phase distribution and phase correlation of financial time series are investigated based on the Dow Jones Industry Average (DJIA) and NASDAQ 10-minute intraday data for a period from Aug. 1 1997 to Dec. 31 2003. The returns of the two indices are shown to have nice scaling behaviors and...