探讨国际货币市场的报价惯性

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Alexander Musaev, Andrey Makshanov, Dmitry Grigoriev
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引用次数: 0

摘要

作者提出了一种方法,包括对金融时间序列中的惯性进行初步分析。惯性在这里指的是某种长期记忆的表现。这种效应可能发生在随机的复杂过程中。如果决定是否定的,他们不建议使用基于趋势分析的预测管理策略。该研究使用计算方案来检测和确认金融市场数据的趋势。通过分析不同时间间隔和不同程度的趋势确认频率,评价了这些方案的有效性。此外,该研究强调了由于曲线动态滞后而使用平滑曲线进行趋势分析的局限性,强调了在趋势分析中考虑实时数据以获得更准确预测的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Quotation Inertia in International Currency Markets
The authors suggest a methodology that involves conducting a preliminary analysis of inertia in financial time series. Inertia here means the manifestation of some kind of long-term memory. Such effects may take place in complex processes of a stochastic kind. If the decision is negative, they do not recommend using predictive management strategies based on trend analysis. The study uses computational schemes to detect and confirm trends in financial market data. The effectiveness of these schemes is evaluated by analyzing the frequency of trend confirmation over different time intervals and with different levels of trend confirmation. Furthermore, the study highlights the limitations of using smoothed curves for trend analysis due to the lag in the dynamics of the curve, emphasizing the importance of considering real-time data in trend analysis for more accurate predictions.
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来源期刊
Computation
Computation Mathematics-Applied Mathematics
CiteScore
3.50
自引率
4.50%
发文量
201
审稿时长
8 weeks
期刊介绍: Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.
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