[PDF]
Motion in random fields - an application to stock market data
www.ul.ie/gleesonj/Papers/xmarket_randomfield_singlescale_ver4.pdf
by JP Gleeson - 2003 - Related articles
rather different interpretation: x(t) is the position vector (in 2 or 3 dimensions) of a .... field models of stock price motion is that the Eulerian field may, as in (18), ...
www.ul.ie/gleesonj/Papers/xmarket_randomfield_singlescale_ver4.pdf
by JP Gleeson - 2003 - Related articles
rather different interpretation: x(t) is the position vector (in 2 or 3 dimensions) of a .... field models of stock price motion is that the Eulerian field may, as in (18), ...Vorticity - Wikipedia, the free encyclopedia
en.wikipedia.org/wiki/Vorticity
The volatility (standard deviation of returns) grows like that of a diffusion (random walk) process,
i.e. as the square root of the lag time, for lag times longer than about 10 minutes. However, higher
frequency (shorter lag) returns demonstrate a super-diffusive volatility, which can be fitted to powerlaws
with exponents found to range between 0.67 and 0.77 [6, 7].
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