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A note on the forecasting effectiveness of the US leading economic indicators

Guerard, John Baynard - In: Indian economic review : biannual journal of the Delhi … 36 (2001) 1, pp. 251-268

Persistent link: https://www.econbiz.de/10001639270

Outlier time-series models and analysts' forecasting of GNP and corporate earnings per share

Guerard, John Baynard (contributor) - In: Applied financial economics 5 (1995) 2, pp. 113-119

Persistent link: https://www.econbiz.de/10001181317

Automatic time series modeling and forecasting: a replication case study of forecasting real GDP, the unemployment rate and the impact of leading economic indicators

Guerard, John Baynard; Thomakos, Dimitrios D.; Kyriazi, … - In: Cogent economics & finance 8 (2020) 1, pp. 1-20

We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results are more statistically significant using more recently...

Persistent link: https://www.econbiz.de/10012214684

Automatic Time Series Modelling and Forecasting : A Replication Case Study of Forecasting Real GDP, the Unemployment Rate, and the Impact of Leading Economic Indicators

Guerard, John - 2020

We test and report on time series modelling and forecasting using several U.S. Leading Economic Indicators (LEI) as an input to forecasting real U.S. GDP and the unemployment rate. These time series have been addressed before, but our results are more statistically significant using more...

Persistent link: https://www.econbiz.de/10012836847

Collinearity and the Use of Latent Root Regression for Combining GNP Forecasts

Guerard, John - 2016

Persistent link: https://www.econbiz.de/10012997035