Tapadar, Pradip (2009) Asset Allocation to Optimise Life Insurance Annuity Firm Economic Capital and Risk Adjusted Performance. In: Royal Statistical Society Conference, 7-11 September 2009, Edinburgh, UK. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28472)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://www.rss.org.uk |
Abstract
With the advent of new risk-based regulations for financial services firms, specifically Basel 2 for banks
and Solvency 2 for insurers, there is now a heightened focus on the practical implementation of
quantitative risk management techniques for firms operating within the financial services industry.
In particular, financial services firms are now expected to self assess and quantify the amount of capital
that they need, to cover the risks they are running. This self assessed quantum of capital is commonly
termed risk, or economic, capital.
This talk is concerned with two important questions:
Question 1: How should a capital constrained firm allocate its assets to minimise its economic capital
requirement?
Question 2: How should a firm allocate its assets to optimise its risk adjusted performance?
The talk will focus on the impact that asset allocation has on the economic capital and the risk adjusted
performance of financial services firms. A stochastic approach, using graphical models, is used in
conjunction with a life insurance annuity firm as an illustrative example. It is shown that traditional
solvency-driven deterministic approaches to financial services firm asset allocation can yield suboptimal
results in terms of minimising economic capital or maximising risk adjusted performance.
Our results challenge the conventional wisdom that the assets backing life insurance annuities and
financial services firm capital should be invested in low risk, bond type, assets. Implications for firms,
customers, capital providers and regulators are also considered.
Item Type: | Conference or workshop item (Lecture) |
---|---|
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Pradip Tapadar |
Date Deposited: | 23 Nov 2011 10:57 UTC |
Last Modified: | 05 Nov 2024 10:09 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/28472 (The current URI for this page, for reference purposes) |
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