Immunization Theory: An Actuarial Perspective on Asset-Liability Management View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2000

AUTHORS

Massimo De Felice

ABSTRACT

Actuarial Traditions. The management of interest rate risk is a problem with deep roots in the actuarial literature. The results by Redington (1952) and by Haynes and Kirton (1952) may be considered path-breaking on a problem that, even then, “for many years must have intrigued so many actuaries”1. The purpose of their work is to analyse the financial structure of a life office and, in particular, the relationship between the assets and liabilities of a life assurance fund. The specific problem is how to determine the allocation of assets to make them, as far as possible, equally as vulnerable as the liabilities to those influences (typically the effects of fluctuations in the market rate of interest) which affect both. Redington adopts the word “immunization, to signify the investment of the assets in such a way that the existing business is immune to a general change in the rate of interest”2. Haynes and Kirton use the word “insulation” in a similar way. It is remarkable to consider how closely both the authors agreed in their fundamental conclusions. But it is also relevant, for critical purpose and for the sake of theory, to remark the difference in the approach to the problem: Haynes and Kirton paper “dealt primarily with matching, valuation being a by-product”, while Redington’s paper “dealt primarily with valuation, matching being a by-product”3. The first approach led to the development of strategies for cash-flow matching4. The second, which the present paper is concerned with, recognizes the central role of bond pricing theory and of models of the term structure of interest rates, which have undergone a strong development in the last twenty years. More... »

PAGES

63-85

References to SciGraph publications

Book

TITLE

Financial Risk in Insurance

ISBN

978-3-540-66143-6
978-3-642-57846-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-57846-5_4

DOI

http://dx.doi.org/10.1007/978-3-642-57846-5_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042915334


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