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Perukrishnen Vytelingum

5 papers hereh-index 172.5k citations39 works total

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

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • q-fin.CP2
  • q-fin.TR2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedDeeper Hedging: A New Agent-based Model for Effective Deep Hedging

6 citations · 12 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks

Namid R. Stillman, Rory Baggott, Justin Lyon +4

The ability to construct a realistic simulator of financial exchanges, including reproducing the dynamics of the limit order book, can give insight into many counterfactual scenari…

q-fin.CP2023★ 6 cited

Deeper Hedging: A New Agent-based Model for Effective Deep Hedging

Kang Gao, Stephen Weston, Perukrishnen Vytelingum +3

We propose the Chiarella-Heston model, a new agent-based model for improving the effectiveness of deep hedging strategies. This model includes momentum traders, fundamental traders…

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