◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Humayra Shoshi

2 papers hereh-index 220 citations3 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.MF1
  • q-fin.PR1

identity via Semantic Scholar / OpenAlex

most citedHedging and machine learning driven crude oil data analysis using a refined Barndorff-Nielsen and Shephard model

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing q-fin.MFShow all

1 paper · 1 filter

q-fin.MF2020★ 1 cited

Hedging and machine learning driven crude oil data analysis using a refined Barndorff-Nielsen and Shephard model

Humayra Shoshi, Indranil SenGupta

In this paper, a refined Barndorff-Nielsen and Shephard (BN-S) model is implemented to find an optimal hedging strategy for commodity markets. The refinement of the BN-S model is o…

◍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.