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researcher

Jay Cao

2 papers hereh-index 4187 citations9 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-fin.CP2

identity via Semantic Scholar / OpenAlex

most citedDeep Hedging of Derivatives Using Reinforcement Learning

60 citations · 62 across the 2 of their papers we have counts for

collaborators

2 papers

q-fin.CP2022★ 2 cited

Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning

Jay Cao, Jacky Chen, Soroush Farghadani +4

We show how D4PG can be used in conjunction with quantile regression to develop a hedging strategy for a trader responsible for derivatives that arrive stochastically and depend on…

q-fin.CP2021★ 60 cited

Deep Hedging of Derivatives Using Reinforcement Learning

Jay Cao, Jacky Chen, John Hull +1

This paper shows how reinforcement learning can be used to derive optimal hedging strategies for derivatives when there are transaction costs. The paper illustrates the approach by…

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