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Iuliia Manziuk

7 papers hereh-index 6128 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • q-fin.CP2
  • q-fin.TR2
  • math.OC1
  • q-fin.MF1
  • q-fin.RM1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedMarket making and incentives design in the presence of a dark pool: a deep reinforcement learning approach

8 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing q-fin.CPShow all

2 papers · 1 filter

q-fin.CP2019

Deep reinforcement learning for market making in corporate bonds: beating the curse of dimensionality

Olivier Guéant, Iuliia Manziuk

In corporate bond markets, which are mainly OTC markets, market makers play a central role by providing bid and ask prices for a large number of bonds to asset managers from all ar…

q-fin.CP2019

Accelerated Share Repurchase and other buyback programs: what neural networks can bring

Olivier Guéant, Iuliia Manziuk, Jiang Pu

When firms want to buy back their own shares, they have a choice between several alternatives. If they often carry out open market repurchase, they also increasingly rely on banks…

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