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Causes of defined benefit pension scheme funding ratio volatility and average contribution rates

Published online by Cambridge University Press:  14 October 2011

Abstract

Simulations of a model pension scheme are run with stochastic economic and demographic factors, with an aim to investigate the impact of these factors on movements in funding ratio and average contribution rates. These impacts are analysed by running regressions of movements in funding ratio and average contribution rates against the economic and demographic factors. It is found that, for a typical scheme closed to new entrants and a balanced asset allocation including equity investment, the mismatch between discount rate movements and investment returns is by far the biggest predictor of funding ratio movements, with average contribution rates affected more by events in a few individual years rather than averaged over an entire simulation. Where the scheme invests to cash-flow match liabilities, mortality improvement becomes the most significant predictor of funding ratio movements, although mortality improvement still has little impact on average contribution rates.

Type
Papers
Copyright
Copyright © Institute and Faculty of Actuaries 2011

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References

Accounting Standards Board (2008). The Financial Reporting of Pensions: a brief guide. Discussion paper.Google Scholar
Australian Bureau of Statistics. (Various issues). Labour Mobility Australia. Cat No. 6209.0.Google Scholar
Australian Government Actuary. (2009). Australian Life Tables 2005–07.Google Scholar
Blake, D. (2001). U.K. pension fund management: How is asset allocation influenced by the valuation of liabilities? Pensions Institute Discussion Paper, PI-0104, February.Google Scholar
Blake, D., Cairns, A.J.G., Dowd, K. (2006). Living with mortality: Longevity bonds and other mortality-linked securities. British Actuarial Journal, 12(1), 153228.CrossRefGoogle Scholar
Bodie, Z. (1990). The ABO, the PBO and pension investment policy. Financial Analysts Journal, 46(5), 2734.CrossRefGoogle Scholar
Boender, C. (1997). A hybrid simulation/optimisation scenario model for asset/liability management. European Journal of Operational Research, 99(1), 126135.CrossRefGoogle Scholar
Butt, A. (2011). Management of closed defined benefit superannuation schemes – an investigation using simulations. Australian Actuarial Journal, forthcoming.Google Scholar
Chang, S.C. (1999). Optimal pension funding through dynamic simulations: the case of Taiwan public employees retirement system. Insurance: Mathematics and Economics, 24(3), 187199.Google Scholar
Cowling, C.A., Gordon, T.J., Speed, C.A. (2004). Funding defined benefit pension schemes. British Actuarial Journal, 11, 6397.CrossRefGoogle Scholar
Exley, C.J., Mehta, J.B., Smith, A.D. (1997). The financial theory of defined benefit pension schemes. British Actuarial Journal, 3(4), 835966.CrossRefGoogle Scholar
Haberman, S., Day, C., Fogarty, D., Khorasanee, M.Z., McWhirter, M., Nash, N., Ngwira, B., Wright, I.D., Yakoubov, Y. (2003). A stochastic approach to risk management and decision making in defined benefit pension schemes. British Actuarial Journal, 9(3), 493618.CrossRefGoogle Scholar
Hari, N., De Waegenaere, A., Melenberg, B., Nijima, T.E. (2008). Longevity risk in portfolios of pension annuities. Insurance: Mathematics and Economics, 42(2), 505519.Google Scholar
Lee, R.D., Carter, L.R. (1992). Modelling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659671.Google Scholar
Leibowitz, M.L., Kogelman, S., Bader, L.N. (1994). Funding ratio return. Journal of Portfolio Management, 21(1), 3947.CrossRefGoogle Scholar
Owadally, M.I., Haberman, S. (1999). Pension fund dynamics and gains/losses due to random rates of investment return. North American Actuarial Journal, 3(3), 105117.CrossRefGoogle Scholar
Palin, J., Speed, C. (2003). Hedging pension plan funding ratio. Presented at The Great Controversy: Current Pension Actuarial Practice in Light of Financial Economics Symposium, Vancouver, June 2003.Google Scholar
Parsons, D.J. (1990). Pension schemes and best estimates. Paper presented to the Staple Inn Actuarial Society.Google Scholar
Richards, S., Jones, G. (2004). Financial aspects of longevity risk. Presented to the Staple Inn Actuarial Society.Google Scholar
Siegman, A. (2007). Optimal investment policies for defined benefit pension funds. Journal of Pension Economics and Finance, 6(1), 120.CrossRefGoogle Scholar
Speed, C., Exley, J., Jones, M., Mounce, R., Ralston, N., Spiers, T., Williams, H. (2003). Note on the relationship between pension assets and liabilities. Paper presented to the Staple Inn Actuarial Society.Google Scholar
Thornton, P.N., Wilson, A.F. (1992). A realistic approach to pension funding. Journal of the Institute of Actuaries, 119, 229288.CrossRefGoogle Scholar
Treynor, J. (1977). The principles of corporate pension finance. The Journal of Finance, 23(2), 627638.CrossRefGoogle Scholar
Wilcox, D.W. (2006). Reforming the defined-benefit pension system. Brookings Papers on Economic Activity, 1, 2006.Google Scholar
Wilkie, A.D. (1995). More on a stochastic investment model for actuarial use. British Actuarial Journal, 1(5), 777964.CrossRefGoogle Scholar
Wise, A.J. (1984). The matching of assets to liabilities. Journal of the Institute of Actuaries, 111(3), 445485.CrossRefGoogle Scholar
Wooden, M. (1999). Job insecurity and job instability: Getting the facts straight. Business Council of Australia Papers, 1(1), 1418.Google Scholar