activity
19972018
most citedMarkov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance

105 citations · 529 across the 26 of their papers we have counts for

collaborators

26 papers

physics.pop-ph2018★ 2 cited

Hydrodynamic Lift on Boats

Joseph L. McCauley

Boats float supported only by buoyancy at rest and at very low speeds. As the speed increases, a hull capable of planing makes a sharp transition to a lifting surface while plowing…

q-fin.ST2017★ 38 cited

Anomalous Scaling of Stochastic Processes and the Moses Effect

Lijian Chen, Kevin E. Bassler, Joseph L. McCauley +1

The state of a stochastic process evolving over a time is typically assumed to lie on a normal distribution whose width scales like . However, processes where the prob…

physics.pop-ph2016

Scaling for speed on the water

Joseph L. McCauley

Dimensional analysis combined with limited experimental data for the performance of fully submerged propellers have been available since the 1950s. I present two new scale-free hyd…

q-fin.ST2008★ 18 cited

Time vs. Ensemble Averages for Nonstationary Time Series

Joseph L. McCauley

We analyze the question whether sliding window time averages applied to stationary increment processes converge to a limit in probability. The question centers on averages, correla…

q-fin.ST2008

ARCH and GARCH Models vs. Martingale Volatility of Finance Market Returns

Joseph L. McCauley

ARCH and GARCH models assume either i.i.d. or (what economists lable as) white noise as is usual in regression analysis while assuming memory in a conditional mean square fluctuati…

physics.soc-ph2008★ 3 cited

Integration I(d) of Nonstationary Time Series: Stationary and nonstationary increments

Joseph L. McCauley, Kevin E. Bassler, Gemunu H. Gunaratne

The method of cointegration in regression analysis is based on an assumption of stationary increments. Stationary increments with fixed time lag are called integration I(d). A clas…