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Emiel Lemahieu

1 paper hereh-index 11 citations1 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • q-fin.CP1

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most citedGenerating drawdown-realistic financial price paths using path signatures

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

q-fin.CP2023★ 1 cited

Generating drawdown-realistic financial price paths using path signatures

Emiel Lemahieu, Kris Boudt, Maarten Wyns

A novel generative machine learning approach for the simulation of sequences of financial price data with drawdowns quantifiably close to empirical data is introduced. Applications…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.