Basket option

A basket option is a financial derivative, more specifically an exotic option, whose underlying is a weighted sum or average of different assets that have been grouped together in a basket. For example, an index option, where a number of stocks have been grouped together in an index and the option is based on the price of the index.[1][2]

Unlike a rainbow option which considers a group of assets but ultimately pays out on the level of one, a basket option is written on a basket of underlying assets but will pay out on a weighted average gain of the basket as a whole.[3]

Like rainbow options basket options are most commonly written on a basket of equity indices, though they are frequently written on a basket of individual equities as well. For example, a call option could be written on a basket of ten healthcare stocks, where the basket was composed of ten stocks in weighted proportions.

The strike price Xbasket is usually set at the current value of the basket (at-the-money), and the payoff profile will be max(Sbasket − Xbasket, 0) where Sbasket is a weighted average of n asset prices at maturity, and each weight represents the percentage of total investment in that asset.[4]

Pricing and valuation

Basket options are usually priced using an appropriate industry-standard model (such as Black–Scholes) for each individual basket component, and a matrix of correlation coefficients applied to the underlying stochastic drivers for the various models. While there are some closed-form solutions for simpler cases (e.g. two-color European rainbows),[5] semi-analytic solutions,[6] analytical approximations,[7] and numerical quadrature integrations,[8] the general case must be approached with Monte Carlo or binomial lattice methods.

Lognormality

Problems in hedging basket options can be of some significance when dealing with markets that exhibit a strong skew. Many operators price basket options as if the underlying basket were a single commodity following its own stochastic process with its volatility derived from its own time series. This however conflicts with a fact that an average (or any linear combination) of assets with lognormal distribution does not follow lognormal distribution.[9] This problem arises in swaps and Eurodollar strips (baskets of Eurodollar options) but in equities and fixed income it is mitigated by the fact that when correlation between assets is high, the sum would come closer to a lognormally distributed asset.

See also

References
  1. "Basket option". The Financial Engineer. 2014. Retrieved 14 December 2016.
  2. Hakala, Jürgen; Wystup, Uwe (2008). "FX Basket Options". Frankfurt School of Finance & Management. p. 4. Archived from the original (pdf) on 20 December 2016. Retrieved 14 December 2016.
  3. Choudhry, Moorad. Bond and money markets: strategy, trading, analysis. Butterworth-Heinemann, 2003. p.838
  4. Zhang, Peter G. Exotic options: a guide to second generation options. 1997. p553
  5. Rubinstein, Mark. "Exotic options." No. RPF-220. University of California at Berkeley, 1991. URL:http://www.haas.berkeley.edu/groups/finance/WP/rpf220.pdf Archived 2015-09-24 at the Wayback Machine
  6. Austing, Peter. Smile Pricing Explained. Springer, 2014.
  7. Alexander, Carol, and Aanand Venkatramanan. "Analytic Approximations for Multi‐Asset Option Pricing." Mathematical Finance 22.4 (2012): 667–689.
  8. Choi, J (2018). "Sum of all Black-Scholes-Merton models: An efficient pricing method for spread, basket, and Asian options". Journal of Futures Markets. 38 (6): 627–644. arXiv:1805.03172. doi:10.1002/fut.21909. SSRN 2913048.
  9. Taleb, Nassim. Dynamic hedging: managing vanilla and exotic options. Vol. 64. John Wiley & Sons, 1997. p.391
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