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We propose exible models for multivariate realized volatility dynamics which involve generalizations of the Box …
Persistent link: https://www.econbiz.de/10010344500
No consensus has emerged on how to deal with overnight returns when calculating realized volatility in markets where … trading does not take place 24 hours a day. This paper explores several common volatility applications, investigating how the … chosen treatment of overnight returns affects the results. For example, the selection of the best volatility forecasting …
Persistent link: https://www.econbiz.de/10013008710
This paper introduces a parsimonious and yet flexible semiparametric model to forecast financial volatility. The new …
Persistent link: https://www.econbiz.de/10012863889
This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on price patterns from foreign markets that have become available overnight. As the close-to-open gap is a scalar response variable to a functional variable, it is natural to focus on...
Persistent link: https://www.econbiz.de/10011379456
The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied … Volatility Surface (IV S). Practical applications require reducing the dimension and characterize its dynamics through a small … investigating long range dependence in the factor loadings series. Our result reveals that shocks to volatility persist for a very …
Persistent link: https://www.econbiz.de/10012966247
The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied … Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small … investigating long range dependence in the factor loadings series. Our result reveals that shocks to volatility persist for a very …
Persistent link: https://www.econbiz.de/10003633787
In this paper, we propose a two-step less volatile value-at-risk (LVaR) estimation using the generalized nearly-isotonic regression (GNIR) model. The first step of our LVaR estimation is to produce a VaR sequence under the generalized autoregressive conditional heteroskedasticity (GARCH)...
Persistent link: https://www.econbiz.de/10013290709
is based on a linear, parametric relationship between expected returns and conditional volatility. This paper models the …-realized variance. We find strong robust evidence of volatility feedback in monthly data. Once volatility feedback is accounted for … relationship is nonlinear. Volatility feedback impacts the whole distribution and not just the conditional mean …
Persistent link: https://www.econbiz.de/10013026110
time series ; semiparametric model ; k-NN estimation ; local polynomial regression ; volatility forecasting …
Persistent link: https://www.econbiz.de/10008663388
Following recent advances in the non-parametric realized volatility approach, we separately measure the discontinuous … volatility models. We analyze the distributional properties of the jump measures vis-à-vis the corresponding realized volatility … accuracy of high-frequency volatility models …
Persistent link: https://www.econbiz.de/10013004411