How Best to Flip-Flop If You Must: Integer Dynamic Stochastic Programming for Either-Or
Standard portfolio analysis presumes one can blend different securities continuously. When one must choose all of one portfolio or all of another, we are in stochastic digital programming: either-or, zero-or-one choice. The algorithm for doing this optimally is shown to be simpler than in real variable maximizing, a switch from the usual extra complexities of digital programming. The Bellman multi-period dynamic programming is shown, paradoxically, to make it possible for a risk-averse investor to want sometimes to embrace an unfair gamble. The superiority of within-time diversification over across-time diversification carries over to this flip-flop case. Copyright 1997 by Kluwer Academic Publishers
Volume (Year): 15 (1997)
Issue (Month): 3 (December)
|Contact details of provider:|| Web page: http://www.springer.com|
|Order Information:||Web: http://www.springer.com/economics/economic+theory/journal/11166/PS2|
When requesting a correction, please mention this item's handle: RePEc:kap:jrisku:v:15:y:1997:i:3:p:183-90. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.