The computational hardness of pricing compound options

M. Braverman, Kanika Pasricha
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引用次数: 10

Abstract

It is generally assumed that you can make a financial asset out of any underlying event or combination thereof, and then sell a security. We show that while this is theoretically true from the financial engineering perspective, compound securities might be intractable to price. Even given no information asymmetries, or adversarial sellers, it might be computationally intractable to put a value on these, and the associated computational complexity might afford an advantage to the party with more compute power. We prove that the problem of pricing an option on a single security with unbounded compounding is PSPACE hard, even when the behavior of the underlying security is computationally tractable. We also show that in the oracle model, even when compounding is limited to at most k layers, the complexity of pricing securities grows exponentially in k.
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复合期权定价的计算硬度
通常假设你可以从任何潜在事件或其组合中获得金融资产,然后出售证券。我们表明,虽然从金融工程的角度来看,这在理论上是正确的,但复合证券可能难以定价。即使没有信息不对称,也没有对抗性的卖家,计算上也很难给这些价值赋值,而相关的计算复杂性可能会给拥有更多计算能力的一方带来优势。我们证明了具有无界复利的单个证券的期权定价问题是PSPACE困难的,即使底层证券的行为在计算上是可处理的。我们还表明,在oracle模型中,即使复利限制在最多k层,证券定价的复杂性在k中呈指数增长。
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