CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Tags

Asset Allocation: How Much Does Model Choice Matter?

by: Nicole Branger, Alexandra Hansis
Social Science Research Network Working Paper Series (18 March 2009)  Key: citeulike:12140261

Formatted Citation


Show HTML

Likes (beta)

This copy of the article hasn't been liked by anyone yet.

View FullText article


Abstract

This paper analyzes the optimal portfolio decision of a CRRA investor in models with stochastic volatility and stochastic jumps. The investor has access to one additional derivative, besides the stock and the money market account, but is restricted to a buy-and-hold strategy. We find that the structure of the risk premia has a significant impact on the optimal portfolio decision as well as on the utility gain due to having access to derivatives. This structure is of equal importance as the choice of the model. The model as well as the risk premia also have an impact on whether the investor prefers to trade OTM or ATM options. The dependence of the optimal portfolio on the specific model and on the specific assumptions on the risk premia leads to significant utility losses in case of model misspecification. So can the results of omitting jumps in the volatility be devastating, in particular if the investor chooses the seemingly optimal OTM put options. A misestimation of the structure of the risk premia has less devastating effect, but can still lead to a loss of around 5% in certainty equivalent return.


jamesstavena's tags for this article

Citations (CiTO)

No CiTO relationships defined

X There are no reviews yet

X Find related articles with these CiteULike tags

X Posting History


X Export records

Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.