Title :
Asset and liability management: a stochastic model for portfolio selection
Author_Institution :
Cox Sch. of Bus., Southern Methodist Univ., Dallas, TX, USA
Abstract :
The funds management problem involves the allocation of monies to a portfolio that provides cash flows sufficient to meet future liabilities. Such a portfolio should be structured to minimize the cost of funding cash outflow requirements such as claims by insurance policy holders, or benefits owed pension plan beneficiaries. In a world of simple fixed-income securities and stable interest rates the problem is straight forward and can be solved using any number of tools. However, recent growth in the number and types of securities with interest rate sensitive cash flows necessitates the use of decision tools that incorporate uncertainty and an appropriate measure of portfolio risk. The stochastic portfolio selection model proposed in the paper provides such a tool for asset allocation. The proposed model reverses the ordering of the simulation scenario analysis and optimization from most stochastic portfolio selection models currently being utilized for funds management and employs an iterative technique to derive a cost effective portfolio plan
Keywords :
decision support systems; digital simulation; financial data processing; investment; iterative methods; securities trading; simulation; stochastic processes; uncertainty handling; asset allocation; asset management; cash flows; cost effective portfolio plan; decision tools; funds management problem; insurance policy holders; interest rate sensitive cash flows; iterative technique; liability management; monies allocation; pension plan beneficiaries; portfolio risk; securities; simulation scenario analysis; simulation scenario optimization; stochastic portfolio selection model; uncertainty; Analytical models; Asset management; Costs; Economic indicators; Information analysis; Insurance; Pensions; Portfolios; Security; Stochastic processes;
Conference_Titel :
Computational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 1997
Conference_Location :
New York City, NY
Print_ISBN :
0-7803-4133-3
DOI :
10.1109/CIFER.1997.618902