Forecasting nonnegative option price distributions using Bayesian kernel methods

H Park, J Lee - Expert Systems with Applications, 2012 - Elsevier
This paper proposes a novel Bayesian kernel model that can forecast the non-negative
distribution of target option prices, which are constrained to be positive. The method utilizes …

Multi-basin particle swarm intelligence method for optimal calibration of parametric Lévy models

S Yang, J Lee - Expert Systems with Applications, 2012 - Elsevier
In this paper, we propose a novel intelligent method to improve the calibration quality of
parametric exponential Lévy models that have recently emerged as alternative option …

Modeling implied volatility surfaces using two-dimensional cubic spline with estimated grid points

SH Yang, J Lee, GS Han - Industrial Engineering and Management …, 2010 - koreascience.kr
In this paper, we introduce the implied volatility from Black-Scholes model and suggest a
model for constructing implied volatility surfaces by using the two-dimensional cubic (bi …

Barrier option pricing with model averaging methods under local volatility models

NH Kim, KH Jung, JW Lee, GS Han - Industrial Engineering and …, 2011 - koreascience.kr
In this paper, we propose a method to provide the distribution of option price under local
volatility model when market-provided implied volatility data are given. The local volatility …

[PDF][PDF] Implied Volatility Function Approximation with Korean ELWs (Equity-Linked Warrants) via Gaussian Processes

GS Han - Management Science and Financial Engineering, 2014 - koreascience.kr
A lot of researches have been conducted to estimate the volatility smile effect shown in the
option market. This paper proposes a method to approximate an implied volatility function …

[引用][C] Implied Volatility Function Approximation with Korean ELWs (Equity-Linked Warrants) via Gaussian Processes

GS Han - 한국산업경제학회정기학술발표대회초록집, 2010 - dbpia.co.kr
ThecelebratedBlack-Scholes (BS) modelisamostacceptablewayamongstmark…
toexplainthe'fair'valueofanoption. Inordertousethismodel, weshouldbegivenfoureasily …