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Equity portfolio diversification with high frequency data

Investors wishing to achieve a particular level of diversification may be misled on how many stocks to hold in a portfolio by assessing the portfolio risk at different data frequencies. High frequency intradaily data provide better estimates of volatility, which translate to more accurate assessment of portfolio risk. Using 5-minute, daily and weekly data on S&P500 constituents for the period from 2003 to 2011 we ?nd that for an average investor wishing to diversify away 85% (90%) of the risk, equally weighted portfolios of 7 (10) stocks will suffice, irrespective of the data frequency used or the time period considered. However, to assure investors of a desired level of diversification 90% of the time, instead of on average, using low frequency data results in an exaggerated number of stocks in a portfolio when compared with the recommendation based on 5-minute data. This difference is magnified during periods when financial markets are in distress, as much as doubling during the 2007-2009 financial crisis

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File URL: http://eprints.utas.edu.au/17316/1/2013-19_Alexeev_and_Dungey_-_Equity_portfolio_diversification_with_high_frequency_data.pdf
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Paper provided by University of Tasmania, School of Economics and Finance in its series Working Papers with number 2013-18.

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Length: 29 pages
Date of creation: 01 Nov 2013
Date of revision: 01 Nov 2013
Publication status: Published by the University of Tasmania. Discussion paper series N 2013-19
Handle: RePEc:tas:wpaper:17316
Contact details of provider: Postal: Private Bag 85, Hobart, Tasmania 7001
Phone: +61 3 6226 7672
Fax: +61 3 6226 7587
Web page: http://www.utas.edu.au/economics-finance/

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