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A Dynamic Programming Approach to Asset Allocation

Professor Musumeci is extending his previous research funded by the grant: "Optimal Investment Allocations Given Fixed Periodic Contributions." In the earlier grant he developed software that uses dynamic programming simulations to analyze the problem of how people can maximize their lifetime utility given three asset choices (bills, bonds, and stocks) and fixed periodic contributions in a participant-directed defined contribution pension plan. The current project extends the software to provide additional insights about asset allocation. In addition to the three asset classes of bills, bonds, and stocks, a real estate index is also incorporated. Asset allocations are in increments of 5 percent rather than 10 percent as in the original software. The correlation of returns among asset classes is also a subject of investigation.

Grants in Progress
 
Attention, Anxiety, Advice, and Portfolio Choice
Andrew Caplin, New York University
John Leahy, Boston University
John Ameriks, TIAA-CREF Institute
 
Taxes, Estate Planning and Financial Theory: New Insights and Perspectives
Chester Spatt, Carnegie Mellon University
Robert Dammon, Carnegie Mellon University
Harold Zhang, University of North Carolina at Chapel Hill
 
Integration of the Life Annuity and Long-term Care Insurance: Theory, Evidence, Practice, and Policy
Christopher Murtaugh, Center for Home Care Policy and Research, Visiting Nurse Service of New York
Brenda Spillman, Urban Institute
Mark Warshawsky, TIAA-CREF Institute
 
Bond Portfolio Immunization: Existence of Solutions, Second Order Conditions and Optimization
Olivier de la Grandville, University of Geneva
Anthony Pakes, University of Western Australia
 
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