This paper compares how pension obligations impact the market value of United States corporations under two accounting regimes. Using a sample of firms that disclosed pension liabilities under Statement of Financial Accounting Standards (SFAS) No. 87 from 2001 to 2005 and recognized them under SFAS No. 158 from 2006 to 2014, I find that equity market participants take into account the net position of the pension fund only if it is recognized on the sponsor's balance sheet, thus mispricing the pension deficit/surplus under the disclosure regime. I also provide evidence suggesting that investors' perception of pension deficits/surpluses changed with the introduction of SFAS No. 158 in 2006.

A simulation investigation of the effect of default insurance on the optimal equity allocation and deficit spread period of a model defined benefit pension scheme is performed, using the old and new frameworks of the Pension Protection Fund in the U.K. as a starting point. The old default insurance levy framework encourages an increase in the allocation to equities, creating an indirect effect of increased deficits. The new framework reverses the effect to a reduction in the allocation to equities, thus reducing deficits. In addition the gaming element of default insurance is investigated and found to significantly increase optimal equity allocation and deficit spread period, leading to a significant increase in deficits.

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.