Abstract:The aim of this work is to present a modification of the standard binomial method which allows to price American barrier options improving the efficiency of the trinomial methods. Our approach is based on a suitable interpolation of binomial values and allows to price and hedge such options also in the critical case of near barriers. All the different types of single barrier options are considered, in the case of knock-in barriers a new implementation of the binomial method is provide
“….., 0 with N − i even (see Remark 5.1 in [8]). In the backward procedure, as usual, we need to compare the early exercise with the continuation value at each node of the tree.…”
Section: The Binomial Interpolated Lattice Approach For Double Barriementioning
confidence: 99%
“…The numerical results show that the BIL method converges faster than the bino-trinomial tree also in the case in which s 0 is chosen not so much close to the barriers. We also observe that when s 0 = 92 we need M ≥ 104 to satisfy (7) and when s 0 = 138 we have to choose M ≥ 289 to verify condition (8). Moreover, also if M is such that (7) or (8) is satisfied, the Binomial Interpolated Lattice converges faster than the bino-trinomial tree.…”
mentioning
confidence: 92%
“…Later Cheuck-Vorst [3] present a modification of the trinomial method (based on a change of the geometry of the tree) which allows to set a layer of nodes exactly on the barrier for every choice of the number of time steps. Gaudenzi-Lepellere [8] introduce suitable interpolations of binomial values and Gaudenzi-Zanette [9] construct a tree where all the mesh points are generated by the barrier itself. However, all the previous methods are not able to price efficiently double barrier options.…”
Section: Introductionmentioning
confidence: 99%
“…In fact in the case of Table 1 with s 0 = 90.05, we have to choose M ≥ 201840. Instead, in the case in which s 0 = 139.95 we need to choose M ≥ 489104 in order to satisfy condition (8). Similarly, in Table 2, we need to choose M ≥ 55987 if s 0 = 95 and M ≥ 122107 if s 0 = 139.9 to satisfy conditions (7) and (8) respectively.…”
We consider the problem of pricing step double barrier options with binomial lattice methods. We introduce an algorithm, based on interpolation techniques, that is robust and efficient, that treats the "near barrier" problem for double barrier options and permits the valuation of step double barrier options with American features. We provide a complete convergence analysis of the proposed lattice algorithm in the European case.
“….., 0 with N − i even (see Remark 5.1 in [8]). In the backward procedure, as usual, we need to compare the early exercise with the continuation value at each node of the tree.…”
Section: The Binomial Interpolated Lattice Approach For Double Barriementioning
confidence: 99%
“…The numerical results show that the BIL method converges faster than the bino-trinomial tree also in the case in which s 0 is chosen not so much close to the barriers. We also observe that when s 0 = 92 we need M ≥ 104 to satisfy (7) and when s 0 = 138 we have to choose M ≥ 289 to verify condition (8). Moreover, also if M is such that (7) or (8) is satisfied, the Binomial Interpolated Lattice converges faster than the bino-trinomial tree.…”
mentioning
confidence: 92%
“…Later Cheuck-Vorst [3] present a modification of the trinomial method (based on a change of the geometry of the tree) which allows to set a layer of nodes exactly on the barrier for every choice of the number of time steps. Gaudenzi-Lepellere [8] introduce suitable interpolations of binomial values and Gaudenzi-Zanette [9] construct a tree where all the mesh points are generated by the barrier itself. However, all the previous methods are not able to price efficiently double barrier options.…”
Section: Introductionmentioning
confidence: 99%
“…In fact in the case of Table 1 with s 0 = 90.05, we have to choose M ≥ 201840. Instead, in the case in which s 0 = 139.95 we need to choose M ≥ 489104 in order to satisfy condition (8). Similarly, in Table 2, we need to choose M ≥ 55987 if s 0 = 95 and M ≥ 122107 if s 0 = 139.9 to satisfy conditions (7) and (8) respectively.…”
We consider the problem of pricing step double barrier options with binomial lattice methods. We introduce an algorithm, based on interpolation techniques, that is robust and efficient, that treats the "near barrier" problem for double barrier options and permits the valuation of step double barrier options with American features. We provide a complete convergence analysis of the proposed lattice algorithm in the European case.
“…The main idea is to construct a tree where all singular points are generated by the barrier itself. Such method will be applied first in the case of no discrete dividends providing a new technique which simplifies and improves the known evaluation methods for barrier options (see Boyle and Lau 1994;Ritchken 1995;Cheuk and Vorst 1996;Gaudenzi and Lepellere 2006). These previous techniques are based on the idea that a good precision is obtained when the barrier lies (or it is close) on a line of nodes of the tree.…”
This article considers a novel exotic option pricing method for incomplete markets. Nonparametric predictive inference (NPI) is applied to the option pricing procedure based on the binomial tree model allowing the method to evaluate exotic options with limited information and few assumptions. As the implementation of the NPI method is greatly simplified by the monotonicity of the option payoff in the tree, we categorize exotic options by their payoff monotonicity and study a typical type of exotic option in each category, the barrier option and the look-back option. By comparison with the classic binomial tree model, we investigate the performance of our method either with different moneyness or varying maturity. All outcomes show that our model offers a feasible approach to price the exotic options with limited information, which makes it can be utilized for both complete and incomplete markets.
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