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distribution theory for a generalized multiscale estimator including a feasible central limit theorem with optimal convergence rate …
Persistent link: https://www.econbiz.de/10009644466
In this article we focus on estimating the quadratic covariation of continuous semimartingales from discrete observations that take place at asynchronous observation times. The Hayashi-Yoshida estimator serves as synchronized realized covolatility for that we give our own distinct illustration...
Persistent link: https://www.econbiz.de/10009644467
noise model with correlation and volatility processes being constant over small intervals. The asymptotic equivalence of the …
Persistent link: https://www.econbiz.de/10010587710
-synchronicity of observation times has no impact on the asymptotics and that major efficiency gains are possible under correlation …
Persistent link: https://www.econbiz.de/10010640724
weight functions. We also include the analysis for the Hayashi-Yoshida estimator in absence of microstructure. The theory …
Persistent link: https://www.econbiz.de/10010603544
We consider the problem of estimating the conditional quantile of a time series fYtg at time t given covariates Xt, where Xt can ei- ther exogenous variables or lagged variables of Yt . The conditional quantile is estimated by inverting a kernel estimate of the conditional distribution function,...
Persistent link: https://www.econbiz.de/10011118447
. They are closely related to the dependency structure of portfolio assets or risk factors. The correlation structure across … position. Correlation alone is not informative on the distributional details of the assets. By introducing TEDAS -Tail Event … active risk factors, an adjustment for intertemporal correlation is made. Finally, the asset allocation weights are …
Persistent link: https://www.econbiz.de/10010785498
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/10010587713
Source extraction and dimensionality reduction are important in analyzing high dimensional and complex financial time series that are neither Gaussian distributed nor stationary. Independent component analysis (ICA) method can be used to factorize the data into a linear combination of...
Persistent link: https://www.econbiz.de/10009275680
models. We show that HF-based predictions yield a significantly lower portfolio volatility than methods employing daily …
Persistent link: https://www.econbiz.de/10010617848