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researcher

L. Capriotti

27 papers hereh-index 15640 citations69 works total

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

author position
  • sole author1
  • first author11
  • middle author9
  • last author6

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el10
  • cond-mat.stat-mech4
  • q-fin.CP4
  • cond-mat2
  • cs.CV2
  • cond-mat.mes-hall1
same name
  • L. Capriotti — 467 papers, h 77
  • L. Capriotti — 134 papers
  • L. Capriotti — 17 papers, h 18
  • L. Capriotti — 5 papers
  • L. Capriotti — 3 papers, h 3
  • L. Capriotti — 3 papers, h 77

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19972026
most citedLong range Neel order in the triangular Heisenberg model

461 citations · 1.9k across the 27 of their papers we have counts for

collaborators
Showing q-fin.CPShow all

4 papers · 1 filter

q-fin.CP2026

Semi-Analytical Pricing for General Default Intensity Models

Ryan Parker, Mark Stedman, Luca Capriotti

Using the path-integral formalism, we develop an accurate and easy-to-compute semi-analytical approximation for a general class of {default intensity} models. We illustrate the acc…

q-fin.CP2024

A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing

Mark Stedman, Luca Capriotti

We generalize a semi-classical path integral approach originally introduced by Giachetti and Tognetti [Phys. Rev. Lett. 55, 912 (1985)] and Feynman and Kleinert [Phys. Rev. A 34, 5…

q-fin.CP2019★ 3 cited

Physics and Derivatives: Effective-Potential Path-Integral Approximations of Arrow-Debreu Densities

Luca Capriotti, Ruggero Vaia

We show how effective-potential path-integrals methods, stemming on a simple and nice idea originally due to Feynman and successfully employed in Physics for a variety of quantum t…

q-fin.CP2010★ 3 cited

Fast Correlation Greeks by Adjoint Algorithmic Differentiation

Luca Capriotti, Mike Giles

We show how Adjoint Algorithmic Differentiation (AAD) allows an extremely efficient calculation of correlation Risk of option prices computed with Monte Carlo simulations. A key po…

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