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Deterministic Seasonal Volatility in a Small and Integrated Stock Market: The Case of Sweeden

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Author Info
Berg, L.

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Abstract

Using daily data for the Swedish stock market for almost the last two decades no distinct and firm deterministic seasonal pattern for the conditional volatility for the Swedish stock market has been found. The daily turnover in the Swedish stock market has an impact on and eliminates to some extent seasonal patterns in conditional volatility. The daily turnover is a proxy variable used to test the mixture distribution model. According to this model the conditional variance of returns will display a GARCH-pattern of behaviour if the number of trades on the stock market during a day are serially correlated. We can also conclude that a feedback from the US stock market to the conditional volatility in the Swedish market exists, and trading days particularly after holidays has a positive impact on the conditional volatility. The test of the model's s mean equation indicates that the Swedish stock market seems to become more and more information efficient, at least in its weak form, if the 1990's are compared with the 1980's.

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Publisher Info
Paper provided by Uppsala - Working Paper Series in its series Papers with number 2000:9.

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Length: 18 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:uppaal:2000:9

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Postal: UPPSALA UNIVERSITY, DEPARTMENT OF ECONOMICS, S-751 20 UPPSALA SWEDEN.
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Related research
Keywords: FINANCIAL MARKET ; ECONOMIC MODELS;

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Find related papers by JEL classification:
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

References listed on IDEAS
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  1. Berg, Lennart & Lyhagen, Johan, 1996. "Short and Long Run Dependence in Swedish Stock Returns," Working Paper Series 1996:19, Uppsala University, Department of Economics.
    Other versions:
  2. Tim Bollerslev & Robert J. Hodrick, 1992. "Financial Market Efficiency Tests," NBER Working Papers 4108, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-55, January. [Downloadable!] (restricted)
  4. Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March. [Downloadable!] (restricted)
  5. Montalvo, Jose G, 1999. "Volume versus GARCH Effects Reconsidered: An Application to the Spanish Government Bond Futures Market," Applied Financial Economics, Taylor and Francis Journals, vol. 9(5), pages 469-75, October. [Downloadable!] (restricted)
  6. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
  7. Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  8. Bollerslev, T. & Ghysels, E., 1994. "Periodic Autoregressive Conditional Heteroskedasticity," Cahiers de recherche 9408, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
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  9. Tim Bollerslev & Jeffrey Wooldridge, 1992. "Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances," Econometric Reviews, Taylor and Francis Journals, vol. 11(2), pages 143-172. [Downloadable!] (restricted)
  10. Andersen, Torben G, 1996. " Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March. [Downloadable!] (restricted)
  11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April. [Downloadable!] (restricted)
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