Arash Aloosh is an Associate Professor of Finance at Léonard de Vinci Business School. He completed his PhD in Finance in 2016 at BI Norwegian Business School and was a visiting scholar for two years at Columbia Business School in New York. His research contributions have been featured in prestigious publications including the Journal of Finance, Management Science, Nature, and Lancet. Arash currently serves as a Steering Committee member at the National Centre of Excellence in Research in Financial Technologies (NCER-FT) under the Luxembourg National Research Fund (FNR). Additionally, he is a research associate at the Cartes Bancaires-La Banque Postale Chair in Digital Finance at Université Paris II and Telecom Paris, and is also a research affiliate at the Cardiff Fintech Research Group at Cardiff University. Furthermore, Arash serves as the the Editor of the "Social Media and Finance" area within Elsevier's Research in International Business and Finance.
Arash Aloosh; Jiasun Li
Direct Evidence of Bitcoin Wash Trading Article de journal
Dans: Management Science, 2024.
@article{aloosh_2899,
title = {Direct Evidence of Bitcoin Wash Trading},
author = {Arash Aloosh and Jiasun Li},
url = {https://pubsonline.informs.org/doi/abs/10.1287/mnsc.2021.01448?af=R},
year = {2024},
date = {2024-03-01},
journal = {Management Science},
abstract = {We use the internal trading records of a major Bitcoin exchange leaked by hackers to detect
and characterize wash trading ? a type of market manipulation in which a single trader clears
her own limit orders to ?cook? transaction records. Our finding provides direct evidence for
the widely-suspected ?fake volume? allegation against cryptocurrency exchanges, which has
so far only been backed by indirect estimation. We then use our direct evidence to evaluate
various indirect techniques for detecting the presence of wash trades and find measures based on
Benford's law, trade size clustering, lognormal distributions, and structural breaks to be useful,
while ones based on power law tail distributions to give opposite conclusions. We also provide
suggestions to effectively apply various indirect estimation techniques.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Mehdi Aloosh; Arash Aloosh
Economic sanctions and spread of infectious diseases Article de journal
Dans: Health Policy, vol. 138, p. 104921, 2023.
@article{aloosh_2479,
title = {Economic sanctions and spread of infectious diseases},
author = {Mehdi Aloosh and Arash Aloosh},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0168851023002063},
year = {2023},
date = {2023-12-01},
journal = {Health Policy},
volume = {138},
pages = {104921},
abstract = {Economic sanctions can induce economic crises and compromise the determinants of health. In the literature, economic crises have been found to increase the risk of infectious disease outbreaks. Presumably, sanctions can increase the risk of infectious disease spreads, indirectly. However, non-economic factors can fuel the adverse impact of sanctions, including political consequences of sanctions and civil war. We performed a systematic literature review of articles in Embase, MEDLINE, Scopus, Web of Science, Cochrane Library, and the grey literature to assess empirically the impact of economic sanctions on the spread of infectious diseases within and beyond the borders of sanctioned countries. Our review did not identify any study meeting our inclusion criteria. Most of the studies did not control for major socio-political events, particularly armed conflicts in the sanctioned countries. This discovery underscores a notable gap in the examination of the impact of economic sanctions on the propagation of infectious diseases, presenting a threat to global health. Using the social-ecological model, we hypothesize how the economic crisis resulting from economic sanctions affects determinants of health, increases the risk of the spread of infectious diseases and hinders the response capacity of health systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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