We find the optimal investment strategy for an individual who seeks to minimize one of four objectives: (1) the probability that his/her wealth reaches a specified ruin level before death, (2) the probability that his/her wealth reaches that level at death, (3) the expectation of how low his/her wealth drops below a specified level before death, and (4) the expectation of how low his/her wealth drops below a specified level at death. Young [Young, V.R., 2004. Optimal investment strategy to minimize the probability of lifetime ruin. N. Am. Actua. J. 8 (4), 105-126] showed that under criterion (1), the optimal investment strategy is a heavily leveraged position in the risky asset for low wealth. In this paper, we introduce the other three criteria in order to reduce the leveraging observed by Young, the above mentioned reference. We discovered that surprisingly the optimal investment strategy for criterion (3) is identical to the one for (1) and that the strategies for (2) and (4) are more leveraged than the one for (1) at low wealth. Because these criteria do not reduce leveraging, we completely remove it by considering problems (1) and (3) under the restriction that the individual cannot borrow to invest in the risky asset.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 44 (2009) Issue (Month): 3 (June) Pages: 447-458 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
Did you know? You can import bibliographic info in various formats into you bibliographic tool, or just into your word processor. See under "publisher info" on each abstract page.