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Technical Review Panel for the Pension Insurance Modeling System (PIMS)

dc.contributor.authorMitchell, Olivia S.
dc.contributor.authorGeczy, Christopher C.
dc.contributor.authorNovy-Marx, Robert
dc.contributor.authorMaurer, Raimond
dc.contributor.authorFuerst, Donald E.
dc.contributor.authorBone, Christopher M.
dc.contributor.authorSegal, Donald J.
dc.contributor.authorClarke, Martin G.
dc.contributor.authorFabozzi, Frank J.
dc.contributor.authorLucas, Deborah
dc.contributor.authorBabbel, David F.
dc.date.accessioned2014-01-10T16:27:24Z
dc.date.available2014-01-10T16:27:24Z
dc.date.issued2013-09-30
dc.identifier.urihttps://hdl.handle.net/2027.42/102265
dc.description.abstractIn April of 2013, the Pension Research Council of the Wharton School at the University of Pennsylvania convened a Technical Review Panel, comprising ten experts whose task it was to review the Pension Benefit Guaranty Corporation’s (PBGC) Pension Insurance Modeling System (PIMS), including inputs, outputs, and model assumptions. The review was intended to provide a formal evaluation of the technical adequacy of the model by outside experts. Each expert participating on the Technical Panel was asked to review background material (see References) and focus on a particular aspect of the PIMS model. The list of panelists and topics was developed by the Council in discussion with the Social Security Administration (SSA). This report and the appended papers herein from our Technical Panel comprise the Final Report under this project. The Panel’s key findings may be summarized as follows: (1) The PIMS models are an important and valuable tool in modeling the Agency’s liability risk. To the best of our knowledge, there is no other model that can do a comparable job. (2) Nevertheless, some improvements could be integrated in the Agency’s approach to modeling. Those deserving highest priority attention in the experts’ view are the following: (a) Incorporating systematic mortality risk (i.e., treat mortality and longevity as stochastic variables); (b) Including new asset classes increasingly found in defined benefit plan portfolios (e.g., commercial real estate, private equity funds, infrastructure, hedge funds, and others); (c) Developing a more complex model for the term structure of interest rates; and (d) Incorporating an option value approach to pricing the insurance provided. (3) The Agency could also do more to communicate the range of uncertainty and potential for problems associated with the PBGC’s financial status. This could include additional information including the Conditional Value at Risk (CVaR), and perhaps an ‘intermediate,’ ‘optimistic,’ and ‘pessimistic’ set of projected outcomes, as well as the expected ‘date of exhaustion’ for assets backing pension benefits insured by the PBGC.en_US
dc.description.sponsorshipSocial Security Administrationen_US
dc.language.isoen_USen_US
dc.publisherMichigan Retirement Research Center, University of Michigan, P.O. Box 1248, Ann Arbor, MI 48104en_US
dc.relation.ispartofseriesWP 2013-290en_US
dc.subjectPensions, Insuranceen_US
dc.titleTechnical Review Panel for the Pension Insurance Modeling System (PIMS)en_US
dc.typeWorking Paperen_US
dc.subject.hlbsecondlevelPopulation and Demography
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationotherThe Wharton School, University of Pennsylvaniaen_US
dc.contributor.affiliationotherThe Wharton School, University of Pennsylvaniaen_US
dc.contributor.affiliationotherSimon School of Business, University of Rochesteren_US
dc.contributor.affiliationotherFinance Department, Goethe Universityen_US
dc.contributor.affiliationotherMercer Human Resource Consultingen_US
dc.contributor.affiliationotherEdth Limited LLCen_US
dc.contributor.affiliationotherSociety of Actuariesen_US
dc.contributor.affiliationotherPension Protection Funden_US
dc.contributor.affiliationotherEDHEC Business School, EDHEC Risk Instituteen_US
dc.contributor.affiliationotherSloan School of Management, Massachusetts Institute of Technologyen_US
dc.contributor.affiliationotherThe Wharton School, University of Pennsylvaniaen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/102265/1/wp290.pdf
dc.owningcollnameRetirement and Disability Research Center, Michigan (MRDRC)


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