首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Signal Extraction and Forecasting of the UK Tourism Income Time Series: A Singular Spectrum Analysis Approach
Authors:Christina Beneki  Bruno Eeckels  Costas Leon
Institution:1. Department of Business Administration, Technological Educational Institution of Ionian Islands, , Kefallinia, Greece;2. Les Roches‐Gruyère, University of Applied Sciences, , Switzerland;3. DCT University Centre, , Vitznau, Switzerland
Abstract:We present and apply singular spectrum analysis (SSA), a relatively new, non‐parametric and data‐driven method for signal extraction (trends, seasonal and business cycle components) and forecasting of UK tourism income. Our results show that SSA slightly outperforms SARIMA and time‐varying‐parameter state space models in terms of root mean square error, mean absolute error and mean absolute percentage error forecasting criteria. Copyright © 2011 John Wiley & Sons, Ltd.
Keywords:singular spectrum analysis  singular value decomposition  business cycle decomposition  tourism income  signal extraction  forecasting
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号