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

19 papers

q-fin.ST2026

Asymmetric Long-Memory GARCH: Sign-Dependent Kernel Injection in a Two-Dimensional Markov Chain

Kennedy Titus Kayaki, Kyungsub Lee

We introduce ALM-GARCH, an asymmetric long-memory GARCH model in which positive and negative innovations enter conditional variance with different injection amplitudes and kernel o…

q-fin.ST2026

Long-memory GARCH via a two-dimensional Markov chain

Kyungsub Lee, Kennedy Titus Kayaki

This paper proposes a GARCH-type volatility model in which level-and-slope updates of a latent power-law kernel generate state-dependent decay of past shocks within a two-dimension…

math.PR2026

Long-memory Markov chains with power-law intensities

Kyungsub Lee

We introduce a self-exciting point process with power-law intensity dynamics that admits a finite-dimensional Markovian state representation. The model is constructed to preserve t…

q-fin.ST2026

Forecasting duration in high-frequency financial data using a self-exciting flexible residual point process

Kyungsub Lee

This paper presents a method for forecasting limit order book durations using a self-exciting flexible residual point process. High-frequency events in modern exchanges exhibit hea…

q-fin.ST2024★ 3 cited

Self and mutually exciting point process embedding flexible residuals and intensity with discretely Markovian dynamics

Kyungsub Lee

This work introduces a self and mutually exciting point process that embeds flexible residuals and intensity with discretely Markovian dynamics. By allowing the integration of dive…

q-fin.ST2023★ 8 cited

Recurrent neural network based parameter estimation of Hawkes model on high-frequency financial data

Kyungsub Lee

This study examines the use of a recurrent neural network for estimating the parameters of a Hawkes model based on high-frequency financial data, and subsequently, for computing vo…

q-fin.ST2023★ 2 cited

Multi-kernel property in high-frequency price dynamics under Hawkes model

Kyungsub Lee

This study investigates and uses multi-kernel Hawkes models to describe a high-frequency mid-price process. Each kernel represents a different responsive speed of market participan…

q-fin.ST2022★ 2 cited

Application of Hawkes volatility in the observation of filtered high-frequency price process in tick structures

Kyungsub Lee

The Hawkes model is suitable for describing self and mutually exciting random events. In addition, the exponential decay in the Hawkes process allows us to calculate the moment pro…

q-fin.TR2022★ 13 cited

Modeling bid and ask price dynamics with an extended Hawkes process and its empirical applications for high-frequency stock market data

Kyungsub Lee, Byoung Ki Seo

This study proposes a versatile model for the dynamics of the best bid and ask prices using an extended Hawkes process. The model incorporates the zero intensities of the spread-na…

q-fin.PR2021

Analytic formula for option margin with liquidity costs under dynamic delta hedging

Kyungsub Lee, Byoung Ki Seo

This study derives the expected liquidity cost when performing the delta hedging process of a European option. This cost is represented by an integration formula that includes Euro…

q-fin.TR2020★ 11 cited

Systemic Risk in Market Microstructure of Crude Oil and Gasoline Futures Prices: A Hawkes Flocking Model Approach

Hyun Jin Jang, Kiseop Lee, Kyungsub Lee

We propose the Hawkes flocking model that assesses systemic risk in high-frequency processes at the two perspectives -- endogeneity and interactivity. We examine the futures market…

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…

q-fin.ST2013★ 1 cited

Conditional correlation in asset return and GARCH intensity model

Geon Ho Choe, Kyungsub Lee

In an asset return series there is a conditional asymmetric dependence between current return and past volatility depending on the current return's sign. To take into account the c…

q-fin.PR2013★ 9 cited

High moment variations and their application

Geon Ho Choe, Kyungsub Lee

We propose a new method of measuring the third and fourth moments of return distribution based on quadratic variation method when the return process is assumed to have zero drift.…

q-fin.PR2013★ 7 cited

Recursive formula for arithmetic Asian option prices

Kyungsub Lee

We derive a recursive formula for arithmetic Asian option prices with finite observation times in semimartingale models. The method is based on the relationship between the risk-ne…

q-fin.ST2013★ 6 cited

Probabilistic and statistical properties of moment variations and their use in inference and estimation based on high frequency return data

Kyungsub Lee

We discuss the probabilistic properties of the variation based third and fourth moments of financial returns as estimators of the actual moments of the return distributions. The mo…