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David Garc'ia-Lorite

4 papers hereh-index 216 citations3 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-fin.MF3
  • q-fin.RM1
same name
  • David Garc'ia-Lorite — 1 paper, h 0

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
20182026
most citedOn smile properties of volatility derivatives and exotic products: understanding the VIX skew

5 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

q-fin.RM2026

A Distributional Framework for Behavioral Characterization and Risk Management of Large Language Models

David García-Lorite, Raul Merino

Large language models are stochastic by nature. Repeated executions under the same experimental conditions may produce different responses. We propose a framework that can be appli…

q-fin.MF2023★ 1 cited

Convexity adjustments à la Malliavin

David García-Lorite, Raul Merino

In this paper, we develop a novel method based on Malliavin calculus to find an approximation for the convexity adjustment for various classical interest rate products. Malliavin c…

q-fin.MF2022

On the skew and curvature of implied and local volatilities

Elisa Alòs, David García-Lorite, Makar Pravosud

In this paper, we study the relationship between the short-end of the local and the implied volatility surfaces. Our results, based on Malliavin calculus techniques, recover the re…

q-fin.MF2018★ 5 cited

On smile properties of volatility derivatives and exotic products: understanding the VIX skew

Elisa Alòs, David García-Lorite, Aitor Muguruza

We develop a method to study the implied volatility for exotic options and volatility derivatives with European payoffs such as VIX options. Our approach, based on Malliavin calcul…

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