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noise model with correlation and volatility processes being constant over small intervals. The asymptotic equivalence of the …
Persistent link: https://www.econbiz.de/10010281562
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/10010281581
The article is devoted to the nonparametric estimation of the quadratic covariation of non-synchronously observed Itô processes in an additive microstructure noise model. In a high-frequency setting, we aim at establishing an asymptotic distribution theory for a generalized multiscale estimator...
Persistent link: https://www.econbiz.de/10010281599
The purpose of this paper is to examine the asymmetric relationship betweenprice and implied volatility and the associated extreme quantile dependence usinglinear and non linear quantile regression approach. Our goal in this paper is todemonstrate that the relationship between the volatility and...
Persistent link: https://www.econbiz.de/10010326227
In this paper we document that realized variation measures constructed from highfrequency returns reveal a large degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting errors in realized volatility are substantive. Even...
Persistent link: https://www.econbiz.de/10010326350
estimator. We propose forecasting covariance matrices using a multi-scale spectral decomposition where volatilities, correlation …
Persistent link: https://www.econbiz.de/10010308574
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
We find the asymptotic distribution of the multi-dimensional multi-scale and kernel estimators for high-frequency financial data with microstructure. Sampling times are allowed to be asynchronous. The central limit theorem is shown to have a feasible version. In the process, we show that the...
Persistent link: https://www.econbiz.de/10010318742
-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/10010318777
We derive a nonparametric test for constant (continuous) beta over a fixed interval of time. Continuous beta is defined as the ratio of the continuous covariation between an asset and observable risk factor (e.g., the market return) and the continuous variation of the latter. Our test is based...
Persistent link: https://www.econbiz.de/10010333208