Multifractal Analysis of French Medium Voltage Distribution Networks
In: SEGAN-D-23-00971
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In: SEGAN-D-23-00971
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In: PHYSA-212743
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In: FRL-D-24-03546
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In: Computers, environment and urban systems, Band 101, S. 101952
In: NATO Science for Peace and Security Series B: Physics and Biophysics; Unexploded Ordnance Detection and Mitigation, S. 1-20
In: Review of Pacific Basin Financial Markets and Policies, Band 22, Heft 4, S. 1950022
ISSN: 1793-6705
In this paper, we examine the effects of subprime crisis on the largest African stock markets (South Africa, Nigeria, Egypt, and Morocco) by testing the fractal market hypothesis. We use a rolling window Multifractal Detrended Fluctuation Analysis, and find decline in local Hurst exponent and an increase in short-term trading activity for all considered stock markets during the global financial crisis. We furthermore investigate the interrelationships of African and the American stock markets using multi-scale contagion test. Findings suggest that the cross-correlation of African stock markets increases with American markets becoming higher during the crisis sub-period. However, the presence of contagion or interdependence effects are country and time horizon-dependent. Implications of the results are discussed.
In: Computers, environment and urban systems, Band 38, S. 1-10
In: Computers, environment and urban systems: CEUS ; an international journal, Band 38, S. 1-10
ISSN: 0198-9715
In: JCIT-D-24-00041
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In: Computers and Electronics in Agriculture, Band 174, S. 105454
In: Computers and Electronics in Agriculture, Band 88, S. 72-84
In: Modeling and Information Systems in Economics, 2019
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In: Orlando, G., & Lampart, M. (2023). Expecting the Unexpected: Entropy and Multifractal Systems in Finance. Entropy, 25(11), 1527. doi: 10.3390/e25111527
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In: Sosyoekonomi: scientific, refereed, biannual, Band 31, Heft 56, S. 27-46
ISSN: 1305-5577
This study assesses how the coronavirus pandemic (COVID-19) affects the 5-day week multifractal properties of five vaccine stocks (i.e., Pfizer, BioNTech, Moderna, Johnson&Johnson, and AstraZeneca) using weekday index data ranging from 9 December 2019 to 6 January 2022. The main concern is to document whether the presence of herd investing and the level of market efficiency changed between pre-vaccination (i.e., 9 December 2019 - 8 December 2020) and post-vaccination (i.e., 9 December 2020 - 6 January 2022). The generalised Hurst exponents are calculated through multifractal detrended fluctuation analysis. Overall, the empirical results show multifractality for each vaccine stock during the COVID-19 outbreak. Besides, the efficiency level differs among the vaccine stocks based on multifractal properties. The results indicate that the post-vaccination period is more prone to herd investing in BioNTech and Moderna stocks. Considering the impacts of this far-reaching outbreak, the highest MLM (inefficiency) index value is also attributed to BioNTech before and after the COVID-19 vaccination process.
In: Acta polytechnica: journal of advanced engineering, Band 44, Heft 4
ISSN: 1805-2363
The multifractal image analysis of Lichtenberg figures has confirrmed a self- similar arrangement of surface streamers belonging to the special case of electrostatic separation discharges propagating along a surface of polymeric dielectrics.