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Kyungsub Lee

19 papers hereh-index 7105 citations24 works total

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

author position
  • sole author9
  • first author6
  • last author3

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • q-fin.ST11
  • q-fin.PR5
  • q-fin.TR2
  • math.PR1
same name
  • Kyungsub Lee — 2 papers, h 2
  • Kyungsub Lee — 2 papers

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
20132026
most citedMarked Hawkes process modeling of price dynamics and volatility estimation

17 citations · 94 across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

q-fin.PR2019

Risk-neutral option pricing under GARCH intensity model

Kyungsub Lee

The risk-neutral option pricing method under GARCH intensity model is examined. The GARCH intensity model incorporates the characteristics of financial return series such as volati…

q-fin.PR2019

Performance of tail hedged portfolio with third moment variation swap

Kyungsub Lee, Byoung Ki Seo

The third moment variation of a financial asset return process is defined by the quadratic covariation between the return and square return processes. The skew and fat tail risk of…

q-fin.ST2019★ 15 cited

Modeling microstructure price dynamics with symmetric Hawkes and diffusion model using ultra-high-frequency stock data

Kyungsub Lee, Byoung Ki Seo

This study examine the theoretical and empirical perspectives of the symmetric Hawkes model of the price tick structure. Combined with the maximum likelihood estimation, the model…

q-fin.ST2019★ 17 cited

Marked Hawkes process modeling of price dynamics and volatility estimation

Kyungsub Lee, Byoung Ki Seo

A simple Hawkes model have been developed for the price tick structure dynamics incorporating market microstructure noise and trade clustering. In this paper, the model is extended…

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