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Analysing long memory and asymmetries

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Author Info
Matti Vir
Abstract

The paper presents evidence on nonlinearities in Finnish financial time series. The analysis concentrates on the so-called long-memory property which is examined using, various alternative test procedures. This analysis makes use of relatively long monthly Finnish time series which cover the period 1922–1996. The results give some evidence on long memory but one cannot say that the results would overwhelmingly support the existence of long memory in Finnish time series. There are, however, considerable differences between variables and the results are quite sensitive in terms of the treatment of short memory which also applies to different ways of prefiltering the data. Clearly more work is required to obtain more affirmative results in this respect. One way, of doing that is to apply asymmetric time models to find the source of nonlinearity. When that is done with the Finnish data some weak evidence on asymmetry is obtained.

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Article provided by Taylor and Francis Journals in its journal The European Journal of Finance.

Volume (Year): 6 (2000)
Issue (Month): 2 (June)
Pages: 240-258
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Handle: RePEc:taf:eurjfi:v:6:y:2000:i:2:p:240-258

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Related research
Keywords: Long Memory Forecasting Nonlinear Models;

References listed on IDEAS
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  1. Francis X. Diebold & Glenn D. Rudebusch, 1988. "Long memory and persistence in aggregate output," Finance and Economics Discussion Series 7, Board of Governors of the Federal Reserve System (U.S.).
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  2. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June. [Downloadable!] (restricted)
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  3. Hess, Gregory D. & Iwata, Shigeru, 1997. "Asymmetric persistence in GDP? A deeper look at depth," Journal of Monetary Economics, Elsevier, vol. 40(3), pages 535-554, December. [Downloadable!] (restricted)
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  4. Hsieh, David A, 1991. " Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-77, December. [Downloadable!] (restricted)
  5. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July. [Downloadable!] (restricted)
  6. Takala, Kari & Viren, Matti, 1996. "Chaos and nonlinear dynamics in financial and nonfinancial time series: Evidence from Finland," European Journal of Operational Research, Elsevier, vol. 93(1), pages 155-172, August. [Downloadable!] (restricted)
  7. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-313, September. [Downloadable!] (restricted)
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