M. Hanias, Stefanos Tsakonas, L. Magafas, E. Thalassinos, L. Zachilas
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Deterministic chaos and forecasting in Amazon’s share prices
Research background: The application of non-linear analysis and chaos theory modelling on financial time series in the discipline of Econophysics. Purpose of the article: The main aim of the article is to identify the deterministic chaotic behavior of stock prices with reference to Amazon using daily data from Nasdaq-100. Methods: The paper uses nonlinear methods, in particular chaos theory modelling, in a case study exploring and forecasting the daily Amazon stock price. Findings & Value added: The results suggest that the Amazon stock price time series is a deterministic chaotic series with a lot of noise. We calculated the invariant parameters such as the maxi-mum Lyapunov exponent as well as the correlation dimension, managed a two-days-ahead forecast through phase space reconstruction and a grouped data handling method.
期刊介绍：
Equilibrium. Quarterly Journal of Economics and Economic Policy is a scientific journal dedicated to economics, which is the result of close cooperation between the Instytut Badań Gospodarczych/Institute of Economic Research (Poland) and Polish Economic Society and leading European universities. The journal constitutes a platform for exchange of views of the scientific community, as well as reflects the current status and trends of world science and economy.
The journal especially welcome empirical articles making use of quantitative methods in: Macroeconomics and Monetary Economics, International Economics, Financial Economics and Banking, Public Economics, Business Economics, Labor and Demographic Economics, Economic Development, and Technological Change, and Growth.
Current most preferable topics and special issues:
The economics of artificial intelligence: business potentials and risks;
Digitalization and entrepreneurship in economics;
Sustainable socio-economic development, environmental and ecological economics;
Transition in the energy market (improving energy efficiency, alternative energy sources, renewable energy, energy security).
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