Novel importance sampling for the valuation of basket and Asian options
Novel importance sampling for the valuation of basket and Asian options
In this paper we discuss the use of a new method of importance
sampling in the pricing of European options on a basket of assets and on
average price (Asian) options. In standard Monte Carlo estimation the ex-
pectation is taken with respect to a vector which is distributed as n variate
normal, where n is the number of assets in the basket, or the number of points
in the averaging computation in the case of an Asian option. A change of
measure which results in sampling the ratio of arithmetic to geometric average
payo¤s is central to the importance sampling method employed. Since this ra-
tio varies little, considerable variance reduction can be achieved, particularly
when the call option is ’in the money’. Experimental results are given.
Dagpunar, John
be796c6f-4b91-462b-b7ef-c9387efc26dc
1 October 2007
Dagpunar, John
be796c6f-4b91-462b-b7ef-c9387efc26dc
Dagpunar, John
(2007)
Novel importance sampling for the valuation of basket and Asian options.
SSRN Electronic Journal.
Abstract
In this paper we discuss the use of a new method of importance
sampling in the pricing of European options on a basket of assets and on
average price (Asian) options. In standard Monte Carlo estimation the ex-
pectation is taken with respect to a vector which is distributed as n variate
normal, where n is the number of assets in the basket, or the number of points
in the averaging computation in the case of an Asian option. A change of
measure which results in sampling the ratio of arithmetic to geometric average
payo¤s is central to the importance sampling method employed. Since this ra-
tio varies little, considerable variance reduction can be achieved, particularly
when the call option is ’in the money’. Experimental results are given.
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Published date: 1 October 2007
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Local EPrints ID: 454557
URI: http://eprints.soton.ac.uk/id/eprint/454557
PURE UUID: 2bc7d6fc-db5d-4a37-a0eb-6b45b19b2b74
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Date deposited: 16 Feb 2022 17:34
Last modified: 21 Mar 2024 17:41
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