Dam Rain and Cumulative Gain

Brody, D C; Hughston, L P and Macrina, A. 2008. Dam Rain and Cumulative Gain. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 464(2095), pp. 1801-1822. ISSN 1364-5021 [Article]

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Abstract or Description

We consider a financial contract that delivers a single cash flow given by the terminal value of a cumulative gains process. The problem of modelling such an asset and associated derivatives is important, for example, in the determination of optimal insurance claims reserve policies, and in the pricing of reinsurance contracts. In the insurance setting, aggregate claims play the role of cumulative gains, and the terminal cash flow represents the totality of the claims payable for the given accounting period. A similar example arises when we consider the accumulation of losses in a credit portfolio, and value a contract that pays an amount equal to the totality of the losses over a given time interval. An expression for the value process of such an asset is derived as follows. We fix a probability space, together with a pricing measure, and model the terminal cash flow by a random variable; next, we model the cumulative gains process by the product of the terminal cash flow and an independent gamma bridge; finally, we take the filtration to be that generated by the cumulative gains process. An explicit expression for the value process is obtained by taking the discounted expectation of the future cash flow, conditional on the relevant market information. The price of an Arrow–Debreu security on the cumulative gains process is determined, and is used to obtain a closed-form expression for the price of a European-style option on the value of the asset at the given intermediate time. The results obtained make use of remarkable properties of the gamma bridge process, and are applicable to a wide variety of financial products based on cumulative gains processes such as aggregate claims, credit portfolio losses, defined benefit pension schemes, emissions and rainfall.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1098/rspa.2007.0273

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
8 July 2008Published
26 March 2008Published Online
19 February 2008Accepted

Item ID:

31399

Date Deposited:

08 Feb 2022 12:52

Last Modified:

08 Feb 2022 23:47

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

https://research.gold.ac.uk/id/eprint/31399

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