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Equity portfolio diversification with high frequency data

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Abstract
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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  • Alexeev, Vitali & Dungey, Mardi, 2013. "Equity portfolio diversification with high frequency data," Working Papers 2013-18, University of Tasmania, Tasmanian School of Business and Economics, revised 01 Nov 2013.
    • Handle: RePEc:tas:wpaper:17316
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    3. Azra Zaimovic & Adna Omanovic & Almira Arnaut-Berilo, 2021. "How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature," JRFM, MDPI, vol. 14(11), pages 1-30, November.
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    5. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    6. Vitali Alexeev & Mardi Dungey & Wenying Yao, 2016. "Continuous and Jump Betas: Implications for Portfolio Diversification," Econometrics, MDPI, vol. 4(2), pages 1-15, June.
    7. Charles Shaw, 2022. "Portfolio Diversification Revisited," Papers 2204.13398, arXiv.org.
    8. Nadia Nadira Mohd Norsiman & Noor Azuddin Yakob & Carl B. McGowan, Jr, 2019. "The Effect of Portfolio Diversification for the Bursa Malaysia," Accounting and Finance Research, Sciedu Press, vol. 8(4), pages 1-76, November.
    9. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).

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    More about this item

    Keywords

    Portfolio diversification; high frequency; realized variance; realized correlation;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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