Showing 1 - 10 of 19,523
The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic exante forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither exposed to selection bias nor to the risk of...
Persistent link: https://www.econbiz.de/10010271837
This paper addresses the open debate about the effectiveness and practical relevance of highfrequency (HF) data in portfolio allocation. Our results demonstrate that when used with proper econometric models, HF data offers gains over daily data and more importantly these gains are maintained...
Persistent link: https://www.econbiz.de/10010281594
estimator. We propose forecasting covariance matrices using a multi-scale spectral decomposition where volatilities, correlation …
Persistent link: https://www.econbiz.de/10010308574
volatility smiles or interest rate curves. Recently, Pelsser and Lord [11] raised the question whether PCA results may not be …
Persistent link: https://www.econbiz.de/10010301713
We investigate the possibility of exploiting partial correlation graphs for identifying interpretable latent variables … underlying a multivariate time series. It is shown how the collapsibility and separation properties of partial correlation graphs …
Persistent link: https://www.econbiz.de/10010306285
Das in Finanzmarktdaten zu beobachtende volatility-clustering impliziert, daß große Renditeschocks bei der Preisbildung …The volatility clustering observed in financial market data implies that large net yield shocks increase the … probability of a higher future volatility during the price formation. Starting from the ARCH models which were suggested by Engle …
Persistent link: https://www.econbiz.de/10010296494
correlation. …
Persistent link: https://www.econbiz.de/10010276410
Factor models can cope with many variables without running into scarce degrees of freedom problems often faced in a regression-based analysis. In this article we review recent work on dynamic factor models that have become popular in macroeconomic policy analysis and forecasting. By means of an...
Persistent link: https://www.econbiz.de/10010295783
This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...
Persistent link: https://www.econbiz.de/10010295822
direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons …
Persistent link: https://www.econbiz.de/10010276226