Abstract
Using the technique of dynamic portfolio optimization, Chiu and Li (Insur. Math. Econ. 39:330–355, 2006) pioneered the optimal asset-liability management (ALM) framework for investors and insurers in a continuous-time economy. Their approach has been generalized to different objective functions under different stochastic models for the assets and the liabilities. This paper briefly summarizes recent advances along this research direction based on the author’s personal interest and the required quantitative tools from stochastic optimal control theory. A new ALM solution is then derived for constant absolute risk averse insurers subject to cointegrated assets and compound Poisson-type insurance liabilities.
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Acknowledgements
The authors thank the Editor and an anonymous referee for their constructive comments. MC Chiu acknowledges the support by Research Grant Council of Hong Kong with ECS Project Number: 809913 and GRF Project Number: 18200114.
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Chiu, M.C. (2017). Asset-Liability Management in Continuous-Time: Cointegration and Exponential Utility. In: Choi, TM., Gao, J., Lambert, J., Ng, CK., Wang, J. (eds) Optimization and Control for Systems in the Big-Data Era. International Series in Operations Research & Management Science, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-319-53518-0_6
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DOI: https://doi.org/10.1007/978-3-319-53518-0_6
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