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We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003893144
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003909174
We introduce a blocking and regularization approach to estimate high-dimensional covariances using high frequency data. Assets are first grouped according to liquidity. Using the multivariate realized kernel estimator of Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a), the covariance...
Persistent link: https://www.econbiz.de/10013150590
In this paper, we propose three new predictive models: the multi-step nonparametric predictive regression model and the multi-step additive predictive regression model, in which the predictive variables are locally stationary time series; and the multi-step time-varying coefficient predictive...
Persistent link: https://www.econbiz.de/10011775136
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
. According to the results, bear periods have higher volatility persistency than bull periods. …
Persistent link: https://www.econbiz.de/10010470512
As a function of strike and time to maturity the implied volatility estimation is a challenging task in financial … volatility surface (IVS) in a dynamic context, employing semiparametric factor functions and time-varying loadings. Because … financial asset volatilities move over time, across assets and over markets, this paper analyses volatility interaction between …
Persistent link: https://www.econbiz.de/10003828611
In this study, the performance of the Multifractal Model of Asset Returns (MMAR) was examined for stock index returns of four emerging markets. The MMAR, which takes into account stylized facts of financial time series, such as long memory, fat tails and trading time, was developed as an...
Persistent link: https://www.econbiz.de/10011474619
We analyze the dynamics of price jumps and the impact of the European debt crisis using the high-frequency data reported by selected stock exchanges on the European continent during the period January 2008 to June 2012. We employ two methods to identify price jumps: Method 1 minimizes the...
Persistent link: https://www.econbiz.de/10013071459
and the specification form of the volatility process when modelling volatility with the parametric GARCH family models …. This paper examines the Chinese stock market volatility and the asymmetric effects in the Chinese stock volatility by a … empirical result from the GAMNP model demonstrates better performance for the volatility forecasts, particularly in the out …
Persistent link: https://www.econbiz.de/10013150228