Song, Jaemin & Jeon, Jaegi. Learning the Score Function Yields Heteroskedasticity Consistency (working paper)
Siv, Naseth & Jeon, Jaegi. GoldVision: Visual and Temporal Insight into Price Trends (working paper)
Chab, Tharin & Jeon, Jaegi. Evolutionary Feature Clustering with Genetic Algorithms for Robust Credit Default Prediction Using Hybrid Attention and Cross-Network Models (working paper)
Huh, Jeonggyu, Koo, Hyeng Keun, Lim, Byung Hwa, & Jeon, Jaegi. Pontryagin-Guided Deep Learning for Large-Scale Constrained Dynamic Portfolio Choice (submitted). arXiv: https://arxiv.org/abs/2501.12600
Huh, Jeonggyu, Jeon, Jaegi, Koo, Hyeng Keun, & Lim, Byung Hwa. Breaking the Dimensional Barrier: A Pontryagin-Guided Direct Policy Optimization for Continuous-Time Multi-Asset Portfolio (submitted). arXiv: https://arxiv.org/abs/2504.11116
Kim, Eungpyo & Jeon, Jaegi. (2025). Deterministic value iteration for perpetual American put options. AIMS Mathematics, 10(12), 29784-29814.
Park, Jihong, Huh, Jeonggyu, & Jeon, Jaegi. (2025). Reliable option pricing through deep learning: An anomaly score-based approach. Networks and Heterogeneous Media, 20(3), 987-1009.
Song, Jaemin & Jeon, Jaegi. (2025). Deep Momentum Networks with Market Trend Dynamics. PLoS One, 20(9), e0331391.
Jeon, Jaegi & Kim, Geonwoo. (2025). Analytic approximations for foreign equity options under a stochastic volatility with fast mean reversion. AIMS Mathematics, 10(8), 18997–19017.
Huh, Jeonggyu, Jeong, Seungwon, & Jeon, Jaegi. (2025). Pontryagin-Guided Direct Policy Optimization for Continuous-time Portfolio Problem. Journal of Industrial and Management Optimization, 21(9), 5687-5715.
김응표, 전재기. (2025). 딥러닝 기반 KOSPI 200 옵션 내재변동성 예측 연구. 한국정보통신학회논문지, 29(6), 844-853.
정재엽, 전재기. (2025). LDA 토픽모델링을 활용한 국내 회계감사의 동향 분석: 학술논문과 언론 데이터를 중심으로. 한국콘텐츠학회논문지, 25(6), 59-69.
임경열, 전재기. (2025). 자연어처리 기반 텍스트마이닝을 적용한 실어증 연구 동향 분석. 한국엔터테인먼트산업학회논문지, 19(2), 517-528.
김은솔, 전재기. (2024). 금리 변동을 반영한 LSTM 기반 주가 예측 모델 연구. 스마트미디어저널, 13(12), 99-108.
Jeon, Jaegi, Huh, Jeonggyu, & Kim, Geonwoo. (2023). An analytical approach to the pricing of an exchange option with default risk under a stochastic volatility model. Advances in Continuous and Discrete Models, 2023(1), 37.
Jeon, Jaegi, Park, Kyunghyun, & Huh, Jeonggyu. (2022). Extensive networks would eliminate the demand for pricing formulas. Knowledge-Based Systems, 237, 107918.
Jeon, Jaegi, Kim, Geonwoo, & Huh, Jeonggyu. (2021). Consistent and efficient pricing of SPX and VIX options under multiscale stochastic volatility. Journal of Futures Markets, 41(5), 559-576.
Jeon, Jaegi, Kim, Geonwoo, & Huh, Jeonggyu. (2021). An asymptotic expansion approach to the valuation of vulnerable options under a multiscale stochastic volatility model. Chaos, Solitons & Fractals, 144, 110641.
Jeon, Jaegi, Huh, Jeonggyu, & Kim, Geonwoo. (2021). Pricing of Vulnerable Power Exchange Option under the Hybrid Model. East Asian Mathematical Journal, 37(5), 567-576.
Huh, Jeonggyu, Jeon, Jaegi, & Kim, Geonwoo. (2021). Simplified Approach to Valuation of Vulnerable Exchange Option under a Reduced-Form Model. East Asian Mathematical Journal, 37(1), 79-85.
Huh, Jeonggyu, Jeon, Jaegi, & Ma, Yong‑Ki. (2020). Static Hedges of Barrier Options Under Fast Mean-Reverting Stochastic Volatility. Computational Economics, 55, 185-210.
Huh, Jeonggyu, Jeon, Jaegi, Kim, Jeong-Hoon, & Park, Hyejin. (2019). A reduced PDE method for European option pricing under multi-scale, multi-factor stochastic volatility. Quantitative Finance, 19(1), 155-175.
Huh, Jeonggyu, Jeon, Jaegi, & Kim, Jeong-Hoon. (2018). A scaled version of the double-mean-reverting model for VIX derivatives. Mathematics and Financial Economics, 12, 495-515.