Browsing by Author "Ghysels, Eric"
Now showing items 1-18 of 18
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Andreou, Elena; Ghysels, Eric (2014)
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Detecting multiple breaks in financial market volatility dynamics
Andreou, Elena; Ghysels, Eric (2002)The paper evaluates the performance of several recently proposed tests for structural breaks in the conditional variance dynamics of asset returns. The tests apply to the class of ARCH and SV type processes as well as ...
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Forecasting with mixed-frequency data
Andreou, Elena; Ghysels, Eric; Kourtellos, Andros (2010)
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Book Chapter
Forecasting with Mixed-Frequency Data
Andreou, Elena; Ghysels, Eric; Kourtellos, Andros (Oxford University Press, 2012)This article, which presents a regression framework that relates the quarterly macro variable (such as GDP growth) to higher-frequency variables in a relatively simple, parsimonious way, is organized as follows. Section 2 ...
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The impact of sampling frequency and volatility estimators on change-point tests
Andreou, Elena; Ghysels, Eric (2004)The article evaluates the performance of several recently proposed change-point tests applied to conditional variance dynamics and conditional distributions of asset returns. These are CUSUM-type tests for ß-mixing processes ...
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Is industrial production still the dominant factor for the US Economy?
Andreou, Elena; Gagliardini, Patrick; Ghysels, Eric; Rubin, Mirco (2016)
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Monitoring disruptions in financial markets
Andreou, Elena; Ghysels, Eric (2006)We study historical and sequential CUSUM change-point tests for strongly dependent nonlinear processes. These tests are used to monitor the conditional variance of asset returns and to provide real-time information regarding ...
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Predicting the VIX and the volatility risk premium : what's credit and commodity volatility risk got to do with it?
Andreou, Elena; Ghysels, Eric (2014)
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Quality control for structural credit risk models
Andreou, Elena; Ghysels, Eric (2008)Over the last four decades, a large number of structural models have been developed to estimate and price credit risk. The focus of the paper is on a neglected issue pertaining to fundamental shifts in the structural ...
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Regression models with mixed sampling frequencies
Andreou, Elena; Ghysels, Eric; Kourtellos, Andros (2010)We study regression models that involve data sampled at different frequencies. We derive the asymptotic properties of the NLS estimators of such regression models and compare them with the LS estimators of a traditional ...
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Rolling-sample volatility estimators: Some new theoretical, simulation, and empirical results
Andreou, Elena; Ghysels, Eric (2002)We propose extensions of the continuous record asymptotic analysis for rolling sample variance estimators developed for estimating the quadratic variation of asset returns, referred to as integrated or realized volatility. ...
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Book Chapter
Sampling frequency and window length trade-offs in data-driven volatility estimation : appraising the accuracy of asymptotic approximations
Andreou, Elena; Ghysels, Eric (Elsevier JAI, 2006)
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Should macroeconomic forecasters use daily financial data and how?
Andreou, Elena; Kourtellos, Andros; Ghysels, Eric (2012)
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Should macroeconomic forecasters use daily financial data and how?
Andreou, Elena; Ghysels, Eric; Kourtellos, Andros (2010)
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Should Macroeconomic Forecasters Use Daily Financial Data and How?
Andreou, Elena; Ghysels, Eric; Kourtellos, Andros (2013)We introduce easy-to-implement, regression-based methods for predicting quarterly real economic activity that use daily financial data and rely on forecast combinations of mixed data sampling (MIDAS) regressions. We also ...
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Should macroeconomic forecasters use daily financial data and how?
Andreou, Elena; Ghysels, Eric; Kourtellos, Andros (2010)
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Book Chapter
Structural breaks in financial time series
Andreou, Elena; Ghysels, Eric (Springer, 2009)
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Tests for breaks in the conditional co-movements of asset returns
Andreou, Elena; Ghysels, Eric (2003)We propose procedures designed to uncover structural breaks in the co-movements of financial markets. A reduced form approach is introduced that can be considered as a two-stage method for reducing the dimensionality of ...