◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Muniz

3 papers here

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

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-fin.RM2
  • math.NA1
same name
  • M. Muniz — 1 paper

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

most citedA novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups

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

collaborators

3 papers

q-fin.RM2022

Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie Groups

Kevin Kamm, Michelle Muniz

In this paper, we model the rating process of an entity by using a geometrical approach. We model rating transitions as an SDE on a Lie group. Specifically, we focus on calibrating…

q-fin.RM2022★ 3 cited

A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups

Kevin Kamm, Michelle Muniz

In this paper, we introduce a novel methodology to model rating transitions with a stochastic process. To introduce stochastic processes, whose values are valid rating matrices, we…

math.NA2021

Higher Strong Order Methods for Itô SDEs on Matrix Lie Groups

Michelle Muniz, Matthias Ehrhardt, Michael Günther +1

In this paper we present a general procedure for designing higher strong order methods for Itô stochastic differential equations on matrix Lie groups and illustrate this strategy w…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.