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Theoretical Insight in Financial Decision and Brain as Fractal Computer Architecture

Journal: Financial Markets, Institutions and Risks (FMIR) (Vol.3, No. 2)

Publication Date:

Authors : ;

Page : 91-101

Keywords : fractal geometry; fractal information; financial decision making; brain/neural networks.;

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The purpose of this paper is to examine the theoretical interaction of brain dynamics using fractal information tools, fractal geometry in fnancial decision making. This paper concludes a scientific analytical observatory focusing on financial decision making. Through the integration of neuroscien-tific approach to the brain as a fractal and financial decision-making with the concept of fractal fi-nancial market, we open the analytical framework through two interrelated approaches that can in-crease information on making financial decisions and improve effective financial decisions in times of uncertainty. In order to achieve the aim of the work, the concept of “organized business forms” and the analogue of neurons in the financial market is the fractal – the price of a financial asset, to summarize theoretical basics, multifraktal and financial market / fractal trading, fractal computing architecture. Time series of property prices are dental lines, Fractal Computing Architecture. Financial decision making is a complex system whose analysis requires a holistic approach including scientific branches (from economics, neuroscience, psychology, mathematics) to understanding the complexity of decision making. Making financial decisions is a complex system whose analysis re-quires a holistic approach, including scientific branches (from economics, neuroscience, psychology, maths) to understanding the complexity of decision making. Thus, fractal geometry provides a new epistemological framework for the interpretation of real life and the natural world as it is, thus pre-venting approximation or subjective view. The dynamics of globalization and financial system devel-opment opens up new research findings with growing information and financial tools through the use of scientific tools to address complex financial problems.

Last modified: 2020-01-09 20:51:28