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Content horizons for univariate time-series forecasts

Galbraith, John W. - In: International journal of forecasting 19 (2003) 1, pp. 43-55

Persistent link: https://www.econbiz.de/10001735029

Non-parametric regression models of deviations from orthogonality in the expectations theory of the term structure

Campbell, Bryan - In: Oxford bulletin of economics and statistics 59 (1997) 2, pp. 265-284

Persistent link: https://www.econbiz.de/10001223699

Estimation of the vector moving average model by vector autoregression

Galbraith, John W.; Ullah, Aman; Zinde-Walsh, Victoria - In: Econometric reviews 21 (2002) 2, pp. 205-219

Persistent link: https://www.econbiz.de/10001704803

Forecast content and content horizons for some important macroeconomic time series

Galbraith, John W.; Tkacz, Greg - In: The Canadian journal of economics 40 (2007) 3, pp. 935-953

Persistent link: https://www.econbiz.de/10003549539

GARCH model estimation using estimated quadratic variation

Galbraith, John W.; Zinde-Walsh, Victoria; Zhu, Jingmei - In: Econometric reviews 34 (2015) 6/10, pp. 1172-1192

Persistent link: https://www.econbiz.de/10011483454

Testing the link between inflation and growth

Ambler, Steve; Cardia, Emanuela - In: Price stability, inflation targets, and monetary policy …, (pp. 89-116). 1998

Persistent link: https://www.econbiz.de/10001304069

Forecasting Financial Volatility with Combined QML and LAD-ARCH Estimators of the GARCH Model

Cheung, Liam - 2013

GARCH models and their variants are usually estimated using quasi-Maximum Likelihood (QML). Recent work has shown that by using estimates of quadratic variation, for example from the daily realized volatility, it is possible to estimate these models in a different way which incorporates the...

Persistent link: https://www.econbiz.de/10013076054