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researcher

Donggyu Kim

25 papers hereh-index 14502 citations48 works total

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

author position
  • sole author1
  • first author7
  • middle author9
  • last author8

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • stat.ME13
  • econ.EM4
  • math.ST2
  • q-fin.ST2
  • cs.LG1
  • q-fin.RM1
same name
  • Donggyu Kim — 8 papers, h 4
  • Donggyu Kim — 6 papers, h 11
  • Donggyu Kim — 5 papers, h 0
  • Donggyu Kim — 5 papers, h 3
  • Donggyu Kim — 4 papers, h 15
  • Donggyu Kim — 3 papers, h 3

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
20152024
most citedOptimal large-scale quantum state tomography with Pauli measurements

28 citations · 77 across the 25 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

econ.EM2022★ 1 cited

Large Volatility Matrix Analysis Using Global and National Factor Models

Sung Hoon Choi, Donggyu Kim

Several large volatility matrix inference procedures have been developed, based on the latent factor model. They often assumed that there are a few of common factors, which can acc…

stat.ME2022★ 1 cited

Volatility Models for Stylized Facts of High-Frequency Financial Data

Donggyu Kim, Minseok Shin

This paper introduces novel volatility diffusion models to account for the stylized facts of high-frequency financial data such as volatility clustering, intra-day U-shape, and lev…

stat.ME2022

Dynamic Realized Beta Models Using Robust Realized Integrated Beta Estimator

Donggyu Kim, Minseog Oh, Minjeong Song +1

This paper introduces a unified parametric modeling approach for time-varying market betas that can accommodate continuous-time diffusion and discrete-time series models based on a…

stat.ME2022

Factor Overnight GARCH-Itô Models

Donggyu Kim, Minseog Oh, Xinyu Song +1

This paper introduces a unified factor overnight GARCH-Itô model for large volatility matrix estimation and prediction. To account for whole-day market dynamics, the proposed model…

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