Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Scores of lawsuits have pushed retirement plan sponsors to shorter, easier-to-navigate menus, but – as Ian Ayres and Quinn Curtis argue in this work – we’ve only scratched the surface of retirement plan design. Using participant-level plan data and straightforward tests, Ayres and Curtis show how plan sponsors can monitor plans for likely allocation mistakes and adapt menus to encourage success. Beginning with an overview of the problem of high costs and the first empirical evidence on retirement plan fee lawsuits, they offer an overview of the current plan landscape. They then show, based on reforms to a real plan, how streamlining menus, eliminating pitfalls, and adopting static and dynamic limits on participant allocations to certain risky assets or “guardrails” can reduce mistakes and lead to better retirement outcomes. Focusing on plausible, easy-to-implement interventions, Retirement Guardrails shows that fiduciaries need not be limited to screening out funds but can design menus to actively promote good choices.

Debates over fiduciary status gained national prominence with the Department of Labor’s 2016 attempt to define an investment adviser fiduciary under the Employee Retirement Income Security Act in 2016. The DOL’s fiduciary rule, however, was vacated by the courts, leaving doubt as to whether and when an investment advisor is considered a fiduciary under ERISA. Moreover, many believe that earlier guidance from the DOL on who is an investment advisor fiduciary is too narrow to protect retirement investors. What is less well known is that many of the debates in ERISA over investment advisor fiduciaries track larger debates in the common law regarding fiduciary status. This chapter explores three parallels between the common law and ERISA in determining fiduciary status. The first is the structure of fiduciary categories and the division between categorical and ad hoc fiduciaries. The second is the tendency to look to whether one person has discretionary authority to determine whether the first person is a fiduciary. The third is the challenge raised by advice giving. Both common law courts and ERISA jurisprudence struggle to determine whether and when advisors, who lack discretionary authority, should be considered fiduciaries. The chapter concludes that trust can serve as a foundation for an advisor’s fiduciary status both in the common law and under ERISA.