2013
DOI: 10.4236/jmf.2013.33040
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A Liability Tracking Approach to Long Term Management of Pension Funds

Abstract:

We propose a long term portfolio management method which takes into account a liability. Our approach is based on the LQG (Linear, Quadratic cost, Gaussian) control problem framework and then the optimal portfolio strategy hedges the liability by directly tracking a benchmark process which represents the liability. Two numerical results using empirical data published by Japanese organizations are served: simulation… Show more

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Cited by 3 publications
(8 citation statements)
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“…We observe that the mean wealth indicated by the blue line tracks the liability indicated by the red line well. The mean hedging error E t described in the lower panel of Figure 3 is approximately 4.5 % of the liability and it is the equivalent level without the no-short-selling constraint studied in [1]. Hence we find that the liability tracking ability of our optimal portfolio strategy does not drop if we restrict the short selling.…”
Section: Case Of No-short-selling Constraintmentioning
confidence: 64%
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“…We observe that the mean wealth indicated by the blue line tracks the liability indicated by the red line well. The mean hedging error E t described in the lower panel of Figure 3 is approximately 4.5 % of the liability and it is the equivalent level without the no-short-selling constraint studied in [1]. Hence we find that the liability tracking ability of our optimal portfolio strategy does not drop if we restrict the short selling.…”
Section: Case Of No-short-selling Constraintmentioning
confidence: 64%
“…In this section, we serve numerical simulations base on our method using the empirical data provided by the Japanese organizations. The usage of data is the same as in the literature [1]. Let C t and B t be the estimated income and expense of the pension fund which are determined by the data published by the Japanese Ministry of Health, Labour and Welfare [4].…”
Section: Numerical Resultsmentioning
confidence: 99%
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