Modified Brownian Motion Approach to Modeling Returns Distribution
Author(s) -
Dhesi Gurjeet,
Shakeel Muhammad Bilal,
Xiao Ling
Publication year - 2016
Publication title -
wilmott
Language(s) - English
Resource type - Journals
eISSN - 1541-8286
pISSN - 1540-6962
DOI - 10.1002/wilm.10494
Subject(s) - geometric brownian motion , weighting , brownian motion , mathematics , fractional brownian motion , goodness of fit , econometrics , interpretation (philosophy) , trigonometry , extension (predicate logic) , statistical physics , computer science , diffusion process , mathematical analysis , statistics , physics , knowledge management , innovation diffusion , acoustics , programming language
An innovative extension of the geometric Brownian motion model is developed by incorporating a weighting factor and a stochastic function modeled as a mixture of power and trigonometric functions. Simulations based on this modified Brownian motion model, with optimal weighting factors selected by goodness‐of‐fit tests, substantially outperform the basic geometric Brownian motion model in terms of fitting the returns distribution of historic data price indices. Furthermore, we attempt to provide an interpretation of the additional stochastic term in relation to irrational behavior in financial markets and outline the importance of this novel model.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom