Showing 1 - 10 of 104
In this paper we propose a downside risk measure, the expectile-based Value at Risk (EVaR), which is more sensitive to the magnitude of extreme losses than the conventional quantile-based VaR (QVaR). The index $\theta$ of an EVaR is the relative cost of the expected margin shortfall and hence...
Persistent link: https://www.econbiz.de/10012765411
This paper proposes a new class of estimators based on the interquantile range of intraday returns, referred to as interquantile range based volatility (IQRBV), to estimate the integrated daily volatility. More importantly and intuitively, it is shown that a properly chosen IQRBV is jump-free...
Persistent link: https://www.econbiz.de/10010989639
The square-root-of-time rule (SRTR) is popular in assessing multi-period VaR; however, it makes several unrealistic assumptions. We examine and reconcile different stylized factors in returns that contribute to the SRTR scaling distortions. In complementing the use of the variance ratio test, we...
Persistent link: https://www.econbiz.de/10008864638
Finding a precise variance-covariance matrix is the building block of empirical finance. While microstructure-noise-robust methods for realized volatility are in the mainstream of financial econometrics, little if any attention has been devoted to estimating a noise-free realized covariance for...
Persistent link: https://www.econbiz.de/10008865638
Persistent link: https://www.econbiz.de/10008889098
In this paper we propose a downside risk measure, the expectile-based Value at Risk (EVaR), which is more sensitive to the magnitude of extreme losses than the conventional quantile-based VaR (QVaR). The index [theta] of an EVaR is the relative cost of the expected margin shortfall and hence...
Persistent link: https://www.econbiz.de/10005022933
Persistent link: https://www.econbiz.de/10008253322
Persistent link: https://www.econbiz.de/10008890754
In this article we reexamine the profitability of technical analysis using White`s reality check and Hansen`s SPA test that correct the data snooping bias. Compared to previous studies, we study a more complete quot;universequot; of trading techniques, including not only simple rules but also...
Persistent link: https://www.econbiz.de/10012761962
This paper investigates the causal relations between stock return and volume based on quantile regressions. We first define Granger non-causality in all quantiles and propose testing non-causality by a sup-Wald test. Such a test is consistent against any deviation from non-causality in...
Persistent link: https://www.econbiz.de/10012756331