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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

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11 papers · 1 filter

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…

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.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.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…