Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/45743
Title: Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
Authors: Brito, R. P. 
Sebastião, H. 
Godinho, P. 
Keywords: Portfolio choice; High frequency data; Realized moments; Amihud illiquidity ratio; CRRA preferences
Issue Date: Aug-2017
Publisher: Springer Verlag
Serial title, monograph or event: Portuguese Economic Journal
Volume: 16
Issue: 2
Abstract: This paper suggests a new approach for portfolio choice. In this framework, the investor, with CRRA preferences, has two objectives: the maximization of the expected utility and the minimization of the portfolio expected illiquidity. The CRRA utility is measured using the portfolio realized volatility, realized skewness and realized kurtosis, while the portfolio illiquidity is measured using the well-known Amihud illiquidity ratio. Therefore, the investor is able to make her choices directly in the expected utility/liquidity (EU/L) bi-dimensional space. We conduct an empirical analysis in a set of fourteen stocks of the CAC 40 stock market index, using high frequency data for the time span from January 1999 to December 2005 (seven years). The robustness of the proposed model is checked according to the out-of-sample performance of different EU/L portfolios relative to the minimum variance and equally weighted portfolios. For different risk aversion levels, the EU/L portfolios are quite competitive and in several cases consistently outperform those benchmarks, in terms of utility, liquidity and certainty equivalent.
URI: http://hdl.handle.net/10316/45743
ISSN: 1617-982X
DOI: 10.1007/s10258-017-0131-3
Rights: embargoedAccess
Appears in Collections:I&D CeBER - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
HFDLiquidity.pdf3.02 MBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

2
checked on May 29, 2020

WEB OF SCIENCETM
Citations

2
checked on May 29, 2020

Page view(s) 1

1,914
checked on Aug 4, 2020

Download(s)

122
checked on Aug 4, 2020

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons