The Pricing and Hedging of Basket Derivatives
Based on the Rank One Approximation Method
Jing Lia
aBonn Graduate School of Economics
University of Bonn
Adenauerallee 24-42, 53111 Bonn, Germany. Tel: 0049-228-739225.
lijing@uni-bonn.de
ABSTRACT
I propose a new approximation method, called the rank one approximation method, to price basket deriva-
tives. As a first step, I approximate the covariance structure of the uncertain parts in the single assets’
price processes with a rank one covariance matrix which delivers a vector of stochastic processes driven
by the same standard normally distributed random variable. The second step is to introduce several ad-
justment parameters into the price process of the synthetic underlying basket to correct the distributional
distortion resulting from the first step. Both, the dynamic and the static hedging of the basket deriva-
tives are discussed. I show that the rank one approximation method allows for building an effective delta
hedging procedure. The safe crossing hedging strategy is also touched upon with regard to the famous
“cross-gamma” effect between the underlying assets in the basket. The idea of static hedging is to obtain a
portfolio of simple options with single underlying assets to hedge against the risk exposure. The efficiency
of the rank one approximation pricing helps to assess the performance of the static hedging more quickly.
A numerical study is carried out to observe the performance of the rank one approximation method for
both pricing and hedging.
Keywords: Basket derivatives, Rank one approximation, Hedging strategies.
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