RT Journal Article
SR Electronic
T1 The Divergence of High- and Low-Frequency Estimation:
Causes and Consequences
JF The Journal of Portfolio Management
FD Institutional Investor Journals
SP 156
OP 168
DO 10.3905/jpm.2014.40.5.156
VO 40
IS 5
A1 William Kinlaw
A1 Mark Kritzman
A1 David Turkington
YR 2014
UL https://pm-research.com/content/40/5/156.abstract
AB Financial analysts typically estimate volatilities and correlations from monthly or higher-frequency returns when determining the optimal composition of a portfolio. Although it is widely acknowledged that these measures are not necessarily stationary across samples, most analysts assume implicitly that, within sample, volatilities scale with the square root of time and correlations estimated from high-frequency returns are similar to correlations estimated from low-frequency returns. Evidence does not support this view. Instead, evidence shows that relative asset values often evolve through time in ways that are highly inconsistent with their high-frequency volatilities and correlations. As a consequence, portfolios that are optimal based on high-frequency returns often lead to significantly suboptimal results for investors with long horizons. The causes and consequences of this discrepancy are analyzed by the article’s authors, as well as presenting a framework for constructing portfolios that balance short-horizon and long-horizon optimality.TOPICS: Volatility measures, exchanges/markets/clearinghouses, statistical methods