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Multiplicative random cascades with additional stochastic process in financial markets

机译:金融市场中具有附加随机过程的可乘随机级联

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摘要

Multiplicative random cascade model naturally reproduces the intermittency or multifractality, which is frequently shown among hierarchical complex systems such as turbulence and financial markets. As described herein, we investigate the validity of a multiplicative hierarchical random cascade model through an empirical study using financial data. Although the intermittency and multifractality of the time series are verified, random multiplicative factors linking successive hierarchical layers show a strongly negative correlation. We extend the multiplicative model to incorporate an additional stochastic term. Results show that the proposed model is consistent with all the empirical results presented here.
机译:乘法随机级联模型自然地再现了间歇性或多重分形性,这在诸如动荡和金融市场之类的复杂层次系统中经常出现。如本文所述,我们通过使用金融数据的经验研究来研究乘法分层随机级联模型的有效性。尽管时间序列的间歇性和多重性得到了验证,但将相继的层级相连的随机乘法因子却显示出很强的负相关性。我们扩展了乘法模型,以合并一个额外的随机项。结果表明,所提出的模型与此处给出的所有经验结果是一致的。

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