Economic benefits of using realized covariance forecasts in risk-based portfolios

Prateek Sharma and Vipul

Applied Economics, 2016, vol. 48, issue 6, 502-516

Abstract: This article examines the economic benefit of using the realized covariance matrix forecasts, for constructing the risk-based portfolios. We use the two-scale realized covariance estimator (TSC), the jump robust two-scale realized covariance estimator (RTSC) and the realized bipower covariance estimator (BPC), to forecast the daily realized covariance matrix. Using these covariance matrix forecasts, we implement three risk-based portfolios: the global minimum variance portfolio, the equal risk contribution portfolio and the most diversified portfolio. There is evidence that the portfolio performance improves by using TSC or RTSC estimators as compared to the daily-returns-based estimator. The performance gains are robust to the choice of risk-based portfolio strategy, the degree of investor's relative risk-aversion, the market conditions and the choice of time intervals.

Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/00036846.2015.1083086

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