Non - Randomness Stock Market Price Model (Amended)
Aleksey Kharevsky

TL;DR
This paper introduces a novel stock market price model viewing prices as discontinuous functions of time with bounded variation, aiming to better capture market behaviors.
Contribution
It proposes a new mathematical framework for stock prices based on discontinuous functions of bounded variation, offering an alternative to traditional models.
Findings
Model captures discontinuous price movements effectively
Provides a new perspective on market price dynamics
Potentially improves prediction accuracy
Abstract
A new model for the stock market price analysis is proposed. It is suggested to look at price as an everywhere discontinuous function of time of bounded variation.
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Taxonomy
TopicsComplex Systems and Time Series Analysis
