Wissenschaftlicher Aufsatz, 2005
15 Seiten
This work aims to develop a new approach to computing present values in life insurance mathematics, specifically for segmented collectives. The method relies on the principles of approximation theory within Hilbert-Spaces, aiming to provide a more accurate and efficient alternative to traditional techniques.
This work focuses on present value calculations in life insurance mathematics, particularly for segmented collectives. It explores the application of approximation theory within Hilbert-Spaces to provide a more accurate and efficient method for computing present values. Key concepts include best approximation, inner product, norm, and linear normed spaces. The paper analyzes the benefits of using this approach and compares it to traditional methods.
The paper develops a method for computing present values for a specific segment of a collective using the present value data of the entire collective through approximation theory.
The algorithm uses a special norm in Hilbert-Spaces, induced by an inner product derived from the whole collective's present value.
Segmented collectives refer to sub-groups within a larger insured population that require specific actuarial present value calculations.
It provides a framework to solve the underlying integrals by finding the best approximation of a function within a linear normed space.
The paper suggests that this method can be more accurate and efficient, particularly for complex segments where traditional techniques might be limited.
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