|When:||Wednesday Dec. 18, 2013 Noon - 2 PM|
|Place:||The Penn Club, 30 West 44th Street, New York, NY|
|Reservations:|| Call John Waldes at (212) 362-0302 or email him.
|Cost:||$60 for non-members, $50 for
$5 surcharge for walk-in without reservation.
First-time Attendees : $40 membership + $20 lunch
|Topic:||Optimal Tax-efficient Retirement Income and Lifestyle Planning: Making the Most of One's Nest Egg (Part Deux)|
|Abstract:||Since presenting Part Une at INFORMS NY in 2007, we have greatly expanded our tax-efficient process of retirement planning which now includes Monte Carlo risk assessment. Process data includes income sources and lifestyle expenses (excluding income taxes) through retirement. Results specify how to meet expenses and process-determined income taxes through optimal sequencing of income from tax-deferred (e.g., Traditional IRAs), tax-free (e.g., Roth IRAs) and non-retirement savings so that final total savings is maximized. We will review objectives, features and benefits of our process as well as scenarios that demonstrate advantages in savings growth and sustainability risk compared to other commonly used retirement planning methods.|
Lew Coopersmith, Rider University
Lew Coopersmith is an Associate Professor of Management Sciences at Rider University and has held management positions with the FDA, Johnson & Johnson and Health Products Research, Inc., which he help found in 1973. His business and consulting experience includes providing a wide range of services in forecasting, market analysis, marketing policy evaluation and financial analysis for many companies, including Cowen & Co, Johnson & Johnson, Bausch & Lomb, Sanofi-Aventis, Allergan, and, Bristol Myers Squibb. Lew is looking forward to his retirement while continuing to work with VestaEdge, Inc. to provide decision support services for retirement planning. Lew has a Ph.D. in O. R. and has been a member of INFORMS for over 35 years. His publications include papers in the Journal of Investing, Journal of Financial Planning, The Journal of Forecasting, Decision Science, and Management Science.