Reorienting retirement risk management
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Retirement risk management must be dramatically overhauled if workers and retirees are to better prepare themselves to meet future retirement challenges. Recent economic events including the global financial crisis have upended expectations about what pension and endowment fund managers can do. Employers and employees have found it difficult to make pension contributions, despite drops in retirement plan funding. In many countries, government social security systems are also facing insolvency. These factors, coupled with an aging population and rising longevity, are giving rise to serious questions about the future of retirement in America and around the world. This volume explores how workers and firms can reassess the risks associated with retirement saving and dissaving, to identify creative adjustments to adapt to these new risks and realities. One area explored is the key role for financial literacy and education programs. In addition, those acting as plan sponsors and fiduciaries must reconsider pension design to help them better address the new realities. Also novel financial products are described that can help with the design of retirement plans. Experts provide new research and offer policy recommendations, illustrating how retirement plans can be amended to better meet the retirement needs of workers and firms. This volume is an important addition to the Pensions Research Council / Oxford Univeristy Press series and to the current debate on retirement security. Contributors to this volume - Steven G. Allen, Associate Dean for Graduate Programs and Research, the College of Management at NC State University John Ameriks, Vanguard Principal and Head of Vanguard's Investment Counseling and Research Group Igor Balevich, Director in the Pension Solutions Group, Barclays Capital Aaron Bernstein, Senior Research Fellow at the Labor and Worklife Program, Harvard Law School Robert L. Clark, Professor of Management, Innovation, and Entrepreneurship and Professor of Economics, North Carolina State University Craig Copeland, Senior Research Associate, the Employee Benefit Research Institute Joelle H.Y. Fong, doctoral candidate in the Department of Insurance and Risk Management, The Wharton School, University of Pennsylvania Sterling Gunn, CPP Investment Board P. Brett Hammond, Managing Director and Chief Investment Strategist, TIAA-CREF Asset Management Michael Hess, Project Manager in the Investment Counseling and Research department , Vanguard Group R. Hall Kesmodel, Jr., Senior Manager at Ernst and Young, LLP Benedict S. K. Koh, Associate Professor of Finance and Director of the MSc in Applied Finance, the Singapore Management University Tracy Livingstone, Senior Advisor at the Investment Risk Management Group, the Canada Pension Plan Raimond Maurer, Chair of Investment, Portfolio Management, and Pension Finance, Finance Department, Goethe University of Frankfurt Olivia S. Mitchell, Executive Director of the Pension Research Council, Wharton School, University of Pennsylvania Melinda S. Morrill, Research Assistant Professor, the Department of Economics, North Carolina State University Lynn Pettus, Director for the Employee Financial Services practice, Ernst and Young, LLP Anna M. Rappaport, actuary, consultant, author, and speaker, Anna Rappaport Consulting Liqian Ren, Investment Analyst in the Investment Counseling and Research department, Vanguard Group David P. Richardson, Principal Research Fellow, the TIAA-CREF Institute Ralph Rogalla, Assistant Professor for Investments, Portfolio Management, and Pension Finance, the Goethe University of Frankfurt Damon Silvers, Associate General Counsel, the AFL-CIO John A. Turner, social security and pension policy consultant Jack VanDerhei, Research Director, the Employee Benefit Research Institute
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle