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A convergent quadratic-time lattice algorithm for pricing European-style Asian options

机译:一种收敛的二次时间格算法,用于对欧式亚洲期权定价

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摘要

Asian options are strongly path-dependent derivatives. Although efficient numerical methods and approximate closed-form formulas are available, most lack convergence guarantees. Asian options can also be priced on the lattice. All efficient lattice algorithms keep only a polynomial number of states and use interpolation to compensate for the less than full representation of the states. Let the time to maturity be partitioned into n periods. This paper presents the first O(n2)-time convergent lattice algorithm for pricing European-style Asian options; it is the most efficient lattice algorithm with convergence guarantees. The algorithm relies on the Lagrange multipliers to choose optimally the number of states for each node of the lattice. The algorithm is also memory efficient. Extensive numerical experiments and comparison with existing PDE, analytical, and lattice methods confirm the performance claims and the competitiveness of our algorithm. This result places the problem of European-style Asian option pricing in the same complexity class as that of the vanilla option on the lattice.
机译:亚洲期权是高度依赖路径的衍生工具。尽管可以使用有效的数值方法和近似的封闭式公式,但大多数方法都缺乏收敛性保证。亚洲期权也可以按价格定价。所有有效的晶格算法仅保留状态的多项式数,并使用插值来补偿状态的不足表示。将到期时间划分为n个周期。本文提出了第一种用于定价欧式亚洲期权的O(n2)-时间收敛格算法;它是最有效的具有收敛性保证的格算法。该算法依靠Lagrange乘法器为晶格的每个节点最佳地选择状态数。该算法还具有存储效率。广泛的数值实验以及与现有PDE,分析和晶格方法的比较证实了性能要求和我们算法的竞争力。这个结果使欧式亚洲期权定价问题与网格上的香草期权具有相同的复杂性等级。

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