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The Impact of Pension Funding Mechanisms on the Stability and Payoff from Swiss DC Pension Schemes: A Sensitivity Analysis

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Abstract

Adequately funding occupational pension funds is a major concern for society in general and individual contributors in particular. The low returns accompanied with high volatility in capital markets have put many funds in distress. While the basic contributions are mostly defined by the state, the fund’s situation may require additional contributions from the insureds or may allow the distribution of surpluses. In this paper, we focus on the accumulation phase of a defined contribution plan in Switzerland with minimum returns and annual solvency targets in terms of an assets-to-liabilities funding ratio. From the viewpoint of the pension fund, we evaluate the outcome of selected funding mechanisms on the solvency situation. Taking the perspective of the contributors, we analyse the payoff and the utility. Combining both prospects, we discuss the boundary values that trigger the various participation mechanisms and their impact. We find that remediation measures, while stabilising the fund, yield a higher volatility in the insureds contributions. Further, surplus distributions lower the relative payoff utility of the funds members and increase the frequency of remediation measures. Overall, insureds and pension funds will profit from a cautious surplus distribution policy that focuses on keeping the stability high and lowers the volatility of the result.

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Notes

  1. See OECD (2015b).

  2. See OECD (2015a).

  3. See Credit Suisse (2014).

  4. See, e.g. Maas et al. (2015).

  5. See http://www.bsv.admin.ch/altersvorsorge_2020, September 2016.

  6. See Swisscanto (2015).

  7. Avanzi and Purcal (2014); Eling (2012).

  8. Contributors changing their employer must change to the pension linked to the new company. Thereby, the assets are transferred, whereas, e.g. potential remediation measures to improve the overall state of the pension fund remain with the previous institution. Exceptions may apply, though, in the case of partial liquidation of the fund (see BVG (2015), Art. 53).

  9. See, e.g. Jacquemart (2014); Lisse (2014).

  10. Sharpe (1976).

  11. Black (1976).

  12. O’Brien (1986).

  13. Bacinello (1988).

  14. Dufresne (1989).

  15. Cairns et al. (2006).

  16. Berdin and Gründl (2015).

  17. Schmeiser and Wagner (2014).

  18. See Broeders et al. (2011); Mirza and Wagner (2016).

  19. Eling and Kiesenbauer (2013).

  20. Alestalo and Puttonen (2006).

  21. Ghilarducci (2010).

  22. Braun et al. (2011).

  23. Broeders et al. (2016).

  24. Chen and Clever (2015).

  25. Gerber and Shiu (2003).

  26. Avanzi et al. (2016).

  27. Albrecher et al. (2016).

  28. Bischofberger and Walser (2011).

  29. Eling (2012).

  30. UBS (2014).

  31. Cosandey (2014).

  32. Eling and Holder (2013).

  33. Broeders et al. (2011).

  34. BVV2 (2016), Art. 44.

  35. BVG (2015), Art. 8.

  36. BVG (2015), Art. 16.

  37. Björk (2004).

  38. Gerber and Shiu (2003).

  39. In contrast to life insurance companies, regulations such as Solvency II and the Swiss Solvency Test (SST) do not apply to Swiss pension funds. The reason why a transfer of these regulations has not been performed yet can be found in the differences between funds and insurers. In contrast to insurance companies, gains and losses are distributed among the members. Additionally, the contractual relationship between the policyholder and the pension fund is quite rigid. For example, employees are automatically affiliated in the pension plan connected to the employer. Due to these characteristics, a temporary phase of underfunding can be dealt with. Pension funds stay in business and pursue their investment strategies even when they are underfunded. Also, it is the decision of the board of the fund if, and to what extent, remediation measures and surplus payments are to be made. This stands in strong contrast to life insurance companies regulated by market authorities that require strict solvency calculations and adequate capitalisation on a year-to-year basis. While there have been efforts to suggest regulations comparable to Solvency II and the SST for pension funds (see, e.g. Schweizerische Kammer der Pensionskassen-Experten 2012; Braun et al. 2011), there are currently no regulations with respect to this.

  40. BVG (2015), Art. 65d.

  41. Note that, in practice, the use of the UF1 method is more common among Swiss pension funds. Furthermore, it is the board of the fund that ultimately decides on when charging remediation measures as well as on their amount.

  42. For solving Equation 12, we use a numerical root-finding algorithm. A reliable and quick method is, e.g. the method proposed by Brent (1974).

  43. BVG (2015), Art. 68a.

  44. BVV2 (2016), Art. 48e.

  45. This can be compared with the dividend distribution analysed in Avanzi et al. (2016).

  46. See, e.g. Avanzi and Purcal (2014).

  47. This corresponds to the historical salary changes also found in the adaptations of the BVV2 salary boundaries.

  48. BVV2 (2016), Art. 5.

  49. In our analysis, we do not differentiate between the sources of the contributions, but we focus on the total payoff at time T.

  50. BVV2 (2016), Art. 12.

  51. The composition of the index is 60 per cent bonds and 40 per cent equities, with about 40 per cent of the investments made in foreign currencies. For further information, see https://www.group.pictet/corporate/en/home/institutional_investors/lpp_indices/lpp2000.html, September 2016.

  52. We chose to use annualised values based on the monthly observations to have a larger statistical basis (192 observations). The annualised expected return is calculated from the monthly expected return by multiplying by 12. The corresponding volatility is obtained from multiplication by \(\sqrt{12}\). For comparison, when calculating the performance on the base of the only 16 annual data points, we find that the expected return remains unchanged and yields 3 per cent, while the volatility is about 2 per cent higher in the considered period.

  53. In our base case, bonuses can only be distributed if the funding ratio exceeds 110 per cent, i.e. when reserves of 10 per cent on top of the value of the liabilities are accumulated. This reference scenario corresponds to the target values mostly observed in practice (5–10 per cent). In our sensitivity analysis, we vary \(F^{\text {L}} = 110\) per cent through very low and high values ranging from 102 to 118 per cent corresponding to reserves of 2–18 per cent of the liabilities (see Table 3).

  54. FZG (2016), Art. 23.

  55. BVG (2015), Art. 15.

  56. In the Swiss system, a commission regularly decides about changes of \(r_{\text {PL}}\). For this, they take the market conditions into account by using a rolling average of government bonds as a benchmark. We mirror this process in our analysis by adjusting the guaranteed interest rate \(r_{\text {PL}}\) with a delay of two years at a fixed ratio of \(r_{\text {PL}} / \mu _{B}\).

  57. Godwin et al. (1996).

  58. Poterba et al. (2007).

  59. Vigna and Haberman (2001).

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Acknowledgements

Philipp Müller and Joël Wagner acknowledge financial support from the Swiss National Science Foundation (Grant no. 100018_159428). The authors are thankful for the comments on earlier versions of this manuscript by participants of the Western Risk and Insurance Annual Meeting 2016, the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance 2016, the Lyon-Lausanne Seminar 2016, and the 3rd European Actuarial Journal Conference 2016.

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Müller, P., Wagner, J. The Impact of Pension Funding Mechanisms on the Stability and Payoff from Swiss DC Pension Schemes: A Sensitivity Analysis. Geneva Pap Risk Insur Issues Pract 42, 423–452 (2017). https://doi.org/10.1057/s41288-017-0048-1

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