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Ever since Harry Markowitz published his seminal paper on portfolio selection, investors have incorporated estimates of future volatilities and correlations into their asset allocation process. While portfolio construction methods continue to evolve, many investors continue to forecast...
Persistent link: https://www.econbiz.de/10013086014
equivocal empirical evidence reported by several authors about the correlation of performance measures with the Sharpe ratio … will fail. The paper shows that for large sample sizes the correlation between pairs of performance measures that are … functions of the Sharpe ratio is unity. The correct null hypothesis for tests of correlation is therefore ρ=1. Two multivariate …
Persistent link: https://www.econbiz.de/10012970408
ratio. For large sample sizes, the correlation between pairs of performance measures is asymptotically equal to unity …. Therefore, a new specification for tests of correlation between pairs of performance measures, as well as a new multivariate …
Persistent link: https://www.econbiz.de/10012973178
, two new procedures are introduced, called Dickey-Fuller Optimal (DFO), Mini-Max Subset Correlation (MMSC). The former is a …
Persistent link: https://www.econbiz.de/10013067582
We assess the ability of minimum-variance portfolio allocation strategies accounting for time-varying correlation … correlation-based strategies emphatically outperform the equally-weighted benchmark. This finding is strongest for short horizon … correlation forecasts and attributed to dynamic correlation as opposed to variance forecasts. Thus, estimation error is not found …
Persistent link: https://www.econbiz.de/10012959226
Modeling cross-sectional correlations between thousands of stocks, acrosscountries and industries, can be challenging. In this paper, we demonstratethe advantages of using Hierarchical Principal Component Analysis (HPCA)over the classic PCA. We also introduce a statistical clustering algorithmto...
Persistent link: https://www.econbiz.de/10013213840
A time-series basis decomposition and trend extraction technique known as Empirical Mode Decomposition (EMD), designed for multi-scale time-frequency decomposition in non-stationary time-series settings, will be combined with Regularised Covariance Regression (RCR) methods to produce a framework...
Persistent link: https://www.econbiz.de/10014348857
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