• 대한수학회보
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• 제53권5호
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• pp.1497-1530
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• 2016

External barrier options are two-asset options with stochastic variables where the payoff depends on one underlying asset and the barrier depends on another state variable. The barrier state variable determines whether the option is knocked in or out when the value of the variable is above or below some prescribed barrier level. This paper derives the explicit analytic solution of the chained option with an external single or double barrier by utilizing the probabilistic methods - the reflection principle and the change of measure. Before we do this, we examine the closed-form solution of the external barrier option with a single or double-curved barrier using the methods of image and double Mellin transforms. The exact solution of the external barrier option price enables us to obtain the pricing formula of the chained option with the external barrier more easily.

• Korean Journal of Mathematics
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• 제25권2호
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• pp.229-246
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• 2017

This paper concerns barrier option of American type where the underlying price is monitored during only part of the option's life. Analytic valuation formulas of the American partial barrier options are obtained by approximation method. This approximation method is based on barrier options along with exponential early exercise policies. This result is an extension of Jun and Ku [10] where the exercise policies are constant.

• 대한수학회논문집
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• 제33권1호
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• pp.345-360
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• 2018

In finance, barrier options are options contracts with a payoff that depends on whether the price of the underlying asset hits a predetermined barrier level during the option's lifetime. Based on exotic options and random fluctuations of interest rates in the marketplace, we consider discount barrier options with a stochastic interest rate driven by the Hull-White process. This paper derives the closed-form solutions of the discount barrier option and the discount double barrier option using Mellin transform methods and the PDE (partial differential equation) method of images.

• 대한수학회논문집
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• 제31권1호
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• pp.199-207
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• 2016

A chained option is a barrier option activated in the event that the underlying asset price crosses barrier or barriers prior to maturity in a specified order. In this paper, we study the pricing of chained options with the quanto property called the "Quanto chained option". A quanto chained option is a chained option starting at time when the foreign exchange rate has the multiple crossing of specified barriers. We provide closed-form formulas for valuing the quanto chained options based on probabilistic approach.

• 한국산학기술학회논문지
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• 제17권12호
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• pp.226-231
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• 2016

본 논문에서는 배리어 옵션의 가격 산정을 위해 이항분포모형을 사용한다. 경로의존형 옵션인 배리어 옵션의 가격산정을 위해서는 이항트리의 말단에서 역방향으로 진행하면서 개별 노드들의 옵션 가치를 계산하여 옵션 가격을 산정하게 된다. 이항트리의 말단에서는 배리어 도달 여부를 판단하기 어려운데, 카탈란 수를 일반화하여 배리어에 도달하지 않은 경우의 수를 구하고자 한다. 일정한 범위에서 움직이는 경로의 수를 파악하기 위해 카탈란 수에 상한과 하한을 부여하는 방식으로 일반화한다. 이항분포모형에서 배리어 도달 여부는 가격 상승과 가격 하락 횟수의 차이가 일정한 범위에 있는지를 판단하여 결정한다. 상한과 하한을 부여한 일반화된 카탈란 수를 활용하여 가격 상승과 가격 하락 횟수의 차이가 일정한 범위에 있는 경우의 수를 구할 수 있으면, 이항트리 말단에서 배리어에 도달하지 않았을 확률을 계산할 수 있다. 이항트리 말단에서의 옵션 가치와 배리어에 도달하지 않았을 확률을 이용하여 만기의 옵션 기대값을 계산하고 이를 현재 시점으로 할인하여 배리어 옵션 가격을 구하게 된다. 이항분포모형을 이용한 기존의 방법은 중간 단계의 옵션 가치를 모두 계산해야 하지만, 일반화된 카탈란 수를 적용한 방법은 이항트리 말단에서의 옵션 가치만으로도 옵션 가격 산정이 가능하고 만기시점의 옵션행사 확률에 대한 분포를 얻을 수 있다. 상한과 하한을 부여하여 일반화된 카탈란 수는 배리어 옵션 가격 산정뿐만 아니라 다양한 분야에 활용할 수 있을 것으로 기대된다.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2003년도 추계 학술발표회 논문집
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• pp.73-78
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• 2003

This presentation derives a distribution function of the terminal value and running maximum of two-dimensional Brownian motion {X(t) = (X$_1$(t), X$_2$(T))', t > 0}. One random variable of the joint distribution is the terminal time value of the Brownian motion {X$_1$(t), t > 0}. The other random variable is the partial-time running maximum of the Brownian motion {X$_2$(t), t > 0}. With this distribution function, this presentation also derives an explicit pricing formula for a barrier option whose monitoring period of the option starts at an arbitrary date and ends at another arbitrary date before maturity.

• Journal of applied mathematics & informatics
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• 제29권5_6호
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• pp.1501-1509
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• 2011

In this study, assume that the stock price obeys the stochastic differential equation driven by mixed fractional Brownian motion, and the short rate follows the Vasicek model. Then, the Black-Scholes partial differential equation is held by using fractional Ito formula. Finally, the pricing formulae of the barrier option are obtained by partial differential equation theory. The results of Black-Scholes model are generalized.

• Journal of the Korean Statistical Society
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• 제33권2호
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• pp.245-254
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• 2004

This paper derives a distribution function of the terminal value and running maximum of two-dimensional Brownian motion {X($\tau$) = (X$_1$($\tau$), X$_2$ ($\tau$))', $\tau$ 〉0}. One random variable of the joint distribution is the terminal time value, X$_1$ (T). The other random variable is the maximum of the Brownian motion {X$_2$($\tau$), $\tau$〉} between time s and time t. With this distribution function, this paper also derives an explicit pricing formula for an outside barrier option whose monitoring period starts at an arbitrary date and ends at another arbitrary date before maturity.

• Industrial Engineering and Management Systems
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• 제10권1호
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• pp.84-94
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• 2011

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 model is one of the most widely used smile-consistent models. In local volatility model, the volatility is a deterministic function of the random stock price. Before estimating local volatility surface (LVS), we need to estimate implied volatility surfaces (IVS) from market data. To do this we use local polynomial smoothing method. Then we apply the Dupire formula to estimate the resulting LVS. However, the result is dependent on the bandwidth of kernel function employed in local polynomial smoothing method and to solve this problem, the proposed method in this paper makes use of model averaging approach by means of bandwidth priors, and then produces a robust local volatility surface estimation with a confidence interval. After constructing LVS, we price barrier option with the LVS estimation through Monte Carlo simulation. To show the merits of our proposed method, we have conducted experiments on simulated and market data which are relevant to KOSPI200 call equity linked warrants (ELWs.) We could show by these experiments that the results of the proposed method are quite reasonable and acceptable when compared to the previous works.

• Journal of applied mathematics & informatics
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• 제38권5_6호
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• pp.439-461
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• 2020

A step-up option is a newly developed financial instrument that simultaneously provides higher security and profitability. This paper introduces two step-up options: step-up type1 and step-up type2 options, and derives the option pricing formulas using the Laplace transform. We assume that the underlying equity price follows a regime-switching model that reflects the long-term maturity of these options. The option prices are calculated for the two types of funds, a pure stock fund composed of risky assets only and a mixed fund composed of stocks and bonds, to reflect possible variety in the fund underlying asset mix. The impact of changes in the model parameters on the option prices is analyzed. This paper provides information crucial to product developments.