A distribution-based method to gauge market liquidity through scale invariance between investment horizons
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Publication:6578147
DOI10.1002/asmb.2531MaRDI QIDQ6578147
Sergio Bianchi, Augusto Pianese, Massimiliano Frezza
Publication date: 25 July 2024
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Cites Work
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- A two-sample empirical likelihood ratio test based on samples entropy
- Fractal market hypothesis and two power-laws
- Semi-selfsimilar processes
- CED model for asset returns and fractal market hypothesis
- The wavelet-based synthesis for fractional Brownian motion proposed by F. Sellan and Y. Meyer: Remarks and fast implementation
- A NEW DISTRIBUTION-BASED TEST OF SELF-SIMILARITY
- Multifractional processes in finance
- MULTIFRACTIONAL PROPERTIES OF STOCK INDICES DECOMPOSED BY FILTERING THEIR POINTWISE HÖLDER REGULARITY
- Fast and unbiased estimator of the time-dependent Hurst exponent
- Modeling stock prices by multifractional Brownian motion: an improved estimation of the pointwise regularity
- Table for Estimating the Goodness of Fit of Empirical Distributions
- Confidence Limits for an Unknown Distribution Function
- Fractal markets hypothesis and the global financial crisis: scaling, investment horizons and liquidity
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