Fractal Analysis of Financial Time Series Using Fractal Dimension and Pointwise Hölder Exponents

Agnieszka Kapecka
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引用次数: 11

Abstract

This paper presents a fractal analysis application to the verification of assumptions of Fractal Market Hypothesis and the presence of fractal properties in financial time series. In this research, the box-counting dimension and pointwise Holder exponents are used. Achieved results lead to interesting observations related to nonrandomness of price series and occurrence of relationships binding fractal properties and variability measures with the presence of trends and influence of the economic situation on financial instruments’ prices.
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利用分形维数和点态Hölder指数的金融时间序列分形分析
本文将分形分析应用于验证分形市场假说的假设和金融时间序列存在分形性质。在本研究中,使用了盒计数维数和点向Holder指数。所取得的结果导致了与价格序列的非随机性以及与趋势和经济形势对金融工具价格的影响相关联的分形特性和可变性度量的关系的发生有关的有趣观察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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