Linear and nonlinear financial time series: evidence in a sample of pension funds in Spain and the United Kingdom

References

• Abid , F. and Zouari , A. Financial distress prediction using neural networks . Proceedings of the MS’ 2000 International Conference on Modeling and Simulation, International Conference on Modeling and Simulation . pp. 399 – 406 . Spain
   Google Scholar
• Chen , A. , Daouk , H. and Leung , M. T. 2003 . Application of neural networks to an emerging financial market: forecasting and trading the Taiwan stock index . Computers and Operations Research , 30 : 901 – 23 .
   Web of Science ®Google Scholar
• Chung , K. C. , Tan , S. S. and Holdsworth , D. K. 2008 . Insolvency prediction model using multivariate discriminant analysis and artificial neural network for the finance industry in New Zealand . International Journal of Business and Management , 39 : 19 – 28 .
   Google Scholar
• Clements , M. P. and Smith , J. 1999 . A Monte Carlo study of the forecasting performance of empirical SETAR models . Journal of Applied Econometrics , 14 : 123 – 42 .
   Web of Science ®Google Scholar
• Collins , E. , Ghosh , S. and Scofield , C. 1988 . An application of a multiple neural network learning system to emulation of mortgage underwriting judgements . Proceedings of the IEEE International Conference on Neural Networks , 2 : 459 – 66 .
   Google Scholar
• Dutta , S. and Shekhar , S. 1988 . Bond rating: a non-conservative application of neural networks . IEEE International Conference on Neural Networks , 2 : 443 – 50 .
   Google Scholar
• Hansen , B. E. 1997 . Inference in TAR models . Studies in Nonlinear Dynamics and Econometrics , 2 : 1 – 14 .
   Web of Science ®Google Scholar
• Hauser , M. A. , Poetscher , B. M. and Reschenhofer , E. 1999 . Measuring persistence in aggregate output: ARMA models, fractionally integrated ARMA models and nonparametric procedures . Empirical Economics , 24 : 2
   Google Scholar
• Leung , M. T. , Chen , A.-S. and Daouk , H. 1999 . Forecasting exchange rates using general regression neural networks . Working Paper; Computers and Operation Research , 27 ( 2000 ) : 1093 – 110 .
   Google Scholar
• Lo , A. W. 2007 . Statistical Models of Asset Returns , USA : International Library of Financial Econometrics .
   Google Scholar
• Loretan , M. and Phillips , P. C. B. 1994 . Testing covariance stationarity of heavy tailed time series . Journal of Empirical Finance , 1 : 211 – 48 .
   Google Scholar
• Malhotra , D. K. K. and Malhotra , R. Evaluating consumer loans using neural networks . EFMA 2002 London Meetings . June 26–29 , Omega . Vol. 31(2003) , pp. 83 – 96 . London : European Financial Management Association .
   Google Scholar
• Phillips , P. C. B. , McFarland , J. W. and McMahon , P. C. 1996 . Robust tests of forward exchange market efficiency with empirical evidence from the 1920’s . Journal of Applied Econometrics , 11 : 1 – 22 .
   Web of Science ®Google Scholar
• Taylor , M. P. and Peel , D. A. 1998 . Periodically collapsing stock price bubbles: a robust test . Economics Letters , 61 : 221 – 8 .
   Web of Science ®Google Scholar
• Tiao , G. C. and Tsay , R. S. 1994 . Some advances in non-linear and adaptive modelling in time-series . Journal of Forecasting , 13 : 109 – 40 .
   Web of Science ®Google Scholar
• Tong , H. 1983 . Threshold Models in Non-Linear Time Series Analysis. Lecture Notes in Statistics , Vol. 21 , Berlin : Springer .
   Google Scholar
• Tong , H. 1990 . Non-Linear Time Series. A Dynamical System Approach , Oxford : Oxford Science Publications .
   Google Scholar
• Wall , K. D. and Stoffer , D. 2002 . A state space approach to bootstrapping conditional forecasts in ARMA models . Journal of Time Series Analysis , 23 : 733 – 52 .
   Web of Science ®Google Scholar
• Xiao , Z. and Phillips , P. C. B. 1998 . An ADF coefficient test for a unit root in ARMA models of unknown order with empirical applications to the US economy . The Econometrics Journal , 1 : 27 – 43 .
   Google Scholar