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GARCH effects on a test of cointegration

Franses, Philip Hans; Kofman, Paul; Moser, James T. - 1993

Persistent link: https://www.econbiz.de/10000893748

Testing for seasonal unit roots in monthly panels of time series

Kunst, Robert M.; Franses, Philip Hans - In: Oxford bulletin of economics and statistics 73 (2011) 4, pp. 469-488

Persistent link: https://www.econbiz.de/10009241613

Estimating volatility on overlapping returns when returns are autocorrelated

Kluitman, Roy; Franses, Philip Hans - In: Applied mathematical finance 9 (2002) 3, pp. 179-188

Persistent link: https://www.econbiz.de/10001718679

Constructing seasonally adjusted data with time-varying confidence intervals

Koopman, Siem Jan; Franses, Philip Hans - In: Oxford bulletin of economics and statistics 64 (2002) 5, pp. 509-526

Persistent link: https://www.econbiz.de/10001741990

Forecasting exchange rates using neural networks for technical trading rules

Franses, Philip Hans; Griensven, Kapser van - 1997

Persistent link: https://www.econbiz.de/10000969008

Additive outliers, garch and forecasting volatility

Franses, Philip Hans; Ghijsels, Hendrik - 1997

Persistent link: https://www.econbiz.de/10000969033

Forecasting exchange rates using neural networks for technical trading rules

Franses, Philip Hans (contributor); … - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 2 (1997) 4, pp. 115-131

Persistent link: https://www.econbiz.de/10001769675

Seasonal adjustment and the business cycle in unemployment

Franses, Philip Hans (contributor); … - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 4 (2000) 2, pp. 73-84

Persistent link: https://www.econbiz.de/10001773117

Time series models for business and economic forecasting

Franses, Philip Hans; Dijk, Dick van; Opschoor, Anne - 2014 - Second edition

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and...

Persistent link: https://www.econbiz.de/10014289917