Insurance Asset-Liability Management: Time To Reduce Duration.

2020 ◽  
Author(s):  
Eddy Hector Verbiest
Keyword(s):  
Asset Liability Management ◽  
Liability Management

scholarly journals Asset–liability modelling in the quantum era

2021 ◽  
Vol 26 ◽  
Author(s):  
T. Berry ◽  
J. Sharpe
Keyword(s):  
Quantum Mechanics ◽  
Quantum Computer ◽  
Quantum Algorithm ◽  
Capital Requirements ◽  
Quantum Computers ◽  
Investment Management ◽  
Asset Liability Management ◽  
Liability Management ◽  
Insight Into ◽  
Current Practices

Abstract This paper introduces and demonstrates the use of quantum computers for asset–liability management (ALM). A summary of historical and current practices in ALM used by actuaries is given showing how the challenges have previously been met. We give an insight into what ALM may be like in the immediate future demonstrating how quantum computers can be used for ALM. A quantum algorithm for optimising ALM calculations is presented and tested using a quantum computer. We conclude that the discovery of the strange world of quantum mechanics has the potential to create investment management efficiencies. This in turn may lead to lower capital requirements for shareholders and lower premiums and higher insured retirement incomes for policyholders.

Linking profits to asset-liability management of domestic and foreign banks in the UK

2004 ◽  
Vol 14 (18) ◽  
pp. 1319-1324 ◽  
Author(s):  
Kyriaki Kosmidou * ◽  
Fotios Pasiouras ◽  
Jordan Floropoulos
Keyword(s):  
Foreign Banks ◽  
Asset Liability Management ◽  
Liability Management ◽  
The Uk

OPTIMAL PORTFOLIOS OF CORPORATE BONDS AND HOLD TO MATURITY STRATEGIES

2015 ◽  
Vol 10 (02) ◽  
pp. 1550010
Author(s):  
YAACOV KOPELIOVICH
Keyword(s):  
Corporate Bond ◽  
Insurance Companies ◽  
Asset Liability Management ◽  
Optimal Portfolios ◽  
Optimal Weights ◽  
Liability Management ◽  
Simulation Based ◽  
Copula Approach ◽  
Bond Portfolios ◽  
Bond Indices

In this paper, we initiate a research on optimal bond portfolios, that are held to their maturity. We solve the problem analytically for log utility investor in the case of one risky corporate asset. We compare the behavior of these portfolios to equally weighted and portfolios with randomly selected weights. We apply simulation based on Vasicek’s copula approach to derive optimal weights for a corresponding problem involving more than one corporate bond. Further we discover that these portfolios outperform naive investment in constant maturity (CCM) bond indices with a similar maturity horizon. We explain possible application of our findings to boost asset liability management (ALM) strategies for pensions and insurance companies.

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