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returns and intradaily squared returns for forecasting horizons rangingfrom 1 to 10 days. For the daily squared returns we …
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In this paper we consider modeling and forecasting of large realized covariance matrices by penalized vector …
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forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
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forecasting the term structure of interest rates. As expected, I find that using more flexible models leads to a better in …
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under the Basel Accord: A Bayesian approach to forecasting value-at-risk of VIX futures, fast clustering of GARCH processes … dynamics of BRICS's country risk ratings and domestic stock markets, U.S. stock market and oil price, forecasting value …
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The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
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, pages 683-713.<P> This paper discusses identification, specification, estimation and forecasting for a general class of … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …
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