Long memory and outliers in stock market returns

Applied Financial Economics

Volumn 13, Issue 7, 2003, Pages 495-502

  Tolvi, Jussi ^a  

^a UNIVERSITY OF TURKU   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

FINANCIAL MARKET; OECD; STOCK MARKET;

EID: 0042315333     PISSN: 09603107     EISSN: None     Source Type: Journal    
DOI: 10.1080/09603100210161983     Document Type: Article

References (18)

1. Agiakloglou, C., Newbold, P. and Wohar, M. (1992) Bias in an estimator of the fractional difference parameter, Journal of Time Series Analysis, 14, 235-46.
2. Baillie, R. T. (1996) Long memory process and fractional integration in econometrics, Journal of Econometrics, 73, 5-59.
3. Barkoulas, J. T. and Baum, C. F. (1996) Long term dependence in stock returns, Economics Letters, 53, 253-9.
4. Barkoulas, J. T., Baum, C. F. and Travlos, N. (2000) Long memory in the Greek stock market, Applied Financial Economics, 10, 177-84.
5. Beran, J. (1994) On a class of M-estimators for Gaussian long-memory models, Biometrika, 81, 755-66.
6. Bos, C. S., Franses, P. H. and Ooms, M. (1999) Long memory and level shifts: Re-analyzing inflation rates, Empirical Economics, 24, 427-49.
7. Chen, C. and Liu, L.-M. (1993) Joint estimation of model parameters and outlier effects in time series, Journal of the American Statistical Association, 88, 284-97.
8. Cheung, Y.-W. and Lai, K. S. (1995) A search for long memory in international stock market returns, Journal of International Money and Finance, 14, 597-615.
9. Crato, N. (1994) Some international evidence regarding the stochastic behavior of stock returns, Applied Financial Economics, 4, 33-9.
10. Doornik, J. A. (1998) Object-oriented matrix programming using Ox 2.0, Timberlake Consultants, London.
11. Doornik, J. A. and Ooms, M. (1999) A package for estimating, forecasting and simulating arfima models: Arfima package 1.0 for Ox (An unpublished manuscript). Nuffield College, Oxford and Erasmus University Rotterdam. (See http://www.nuff.ox.ac.uk/Users/Doornik/)
12. Geweke, J. and Porter-Hudak, S. (1983) The estimation and application of long memory time series models, Journal of Time Series Analysis, 4, 221-38.
13. Gómez, V. and Maravall, A. (1994) Program TRAMO. 'Time series regression with ARIMA noise, missing observations, and outliers.' Instructions for the user (EUI working paper No. ECO 94/31), European University Institute, Florence.
14. Gómez, V. and Maravall, A. (1995) Programs TRAMO and SEATS. Update: December 1995 (EUI working paper No. ECO 95/46), European University Institute, Florence.
15. Hauser, M. A. (1999) Maximum likelihood estimators for ARMA and ARFIMA models: A Monte Carlo study, Journal of Statistical Planning and Inference, 80, 229-55.
16. Ooms, M. and Doornik, J. A. (1999) Inference and forecasting for fractional autoregressive integrated moving average models, with an application to US and UK inflation (Research Report No. 9947/A), Econometric Institute, Erasmus University Rotterdam.
17. Sadique, S. and Silvapulle, P. (2001) Long-term memory in stock market returns: international evidence, International Journal of Finance and Economics, 6, 59-67.
18. Tsay, R. S. (1986) Time series model specification in the presence of outliers, Journal of the American Statistical Association, 81, 132-41.