activity
20002008
most citedMarkov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance

105 citations · 310 across the 12 of their papers we have counts for

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Showing 2006Show all

5 papers · 1 filter

physics.soc-ph200677 cited

Nonstationary Increments, Scaling Distributions, and Variable Diffusion Processes in Financial Markets

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

Arguably the most important problem in quantitative finance is to understand the nature of stochastic processes that underlie market dynamics. One aspect of the solution to this pr…

physics.soc-ph2006

Linear vs. Nonlinear Diffusion and Martingale Option Pricing

J. L. McCauley, G. H. Gunaratne, K. E. Bassler

First, classes of Markov processes that scale exactly with a Hurst exponent H are derived in closed form. A special case of one class is the Tsallis density, advertised elsewhere a…

physics.soc-ph2006

Martingale Option Pricing

J. L. McCauley, G. H. Gunaratne, K. E. Bassler

We show that our generalization of the Black-Scholes partial differential equation (pde) for nontrivial diffusion coefficients is equivalent to a Martingale in the risk neutral dis…

physics.soc-ph200676 cited

Response to Worrying Trends in Econophysics

Joseph L. McCauley

This article is a response to the recent Worrying Trends in Econophysics critique written by four respected theoretical economists. Two of the four have written books and papers th…

cond-mat.stat-mech2006105 cited

Markov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance

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

We show by explicit closed form calculations that a Hurst exponent H that is not 1/2 does not necessarily imply long time correlations like those found in fractional Brownian motio…