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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 econ.EMShow all

4 papers · 1 filter

econ.EM2024★ 1 cited

Matrix-based Prediction Approach for Intraday Instantaneous Volatility Vector

Sung Hoon Choi, Donggyu Kim

In this paper, we introduce a novel method for predicting intraday instantaneous volatility based on Ito semimartingale models using high-frequency financial data. Several studies…

econ.EM2023

Large Global Volatility Matrix Analysis Based on Observation Structural Information

Sung Hoon Choi, Donggyu Kim

In this paper, we develop a novel large volatility matrix estimation procedure for analyzing global financial markets. Practitioners often use lower-frequency data, such as weekly…

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…

econ.EM2021

Exponential GARCH-Ito Volatility Models

Donggyu Kim

This paper introduces a novel Ito diffusion process to model high-frequency financial data, which can accommodate low-frequency volatility dynamics by embedding the discrete-time n…

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