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Non-monotonic long memory dynamics in black-market premia

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  • Patrick K. Asea
  • Michael J. Dueker

Abstract

The dynamic response of Black market premia to domestic shocks is an important issue in the design and implementation of stabilization and reform programs. We use a vector autoregressive fractionally integrated model to provide new evidence on the dynamics of the official and Black market exchange rates. We show that the official and Black market exchange rates in Hungary are cointegrated with a negative fractional order ofintegration in the cointegrating residuals. The new empirical finding means that the cointegrating residuals are positively autocorrelated in the short run due to autoregressive dynamics, but are negatively autocorrelated in the long run. The rich and complex dynamics of the premia suggests the existence of what we call long memory non-monotonicity.

Suggested Citation

  • Patrick K. Asea & Michael J. Dueker, 1995. "Non-monotonic long memory dynamics in black-market premia," Working Papers 1995-003, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:1995-003
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    References listed on IDEAS

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    1. Rudiger Dornbusch & Daniel Valente Dantas & Clarice Pechman & Roberto de Rezende Rocha & Demetrio SimÅes, 1983. "The Black Market for Dollars in Brazil," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 25-40.
    2. Agenor, P.R., 1992. "Parallel Currency Markets in Developing Countries : Theory, Evidence, and Policy Implications," Princeton Studies in International Economics 188, International Economics Section, Departement of Economics Princeton University,.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Cheung, Yin-Wong, 1993. "Long Memory in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 93-101, January.
    5. Kamin, Steven B., 1993. "Devaluation, exchange controls, and black markets for foreign exchange in developing countries," Journal of Development Economics, Elsevier, vol. 40(1), pages 151-169, February.
    6. Diebold, Francis X. & Rudebusch, Glenn D., 1989. "Long memory and persistence in aggregate output," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 189-209, September.
    7. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
    8. Cheung, Yin-Wong & Lai, Kon S, 1993. "A Fractional Cointegration Analysis of Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 103-112, January.
    9. C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
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    Cited by:

    1. Ali Kutan, 1998. "Dynamics of parallel and official exchange rates: The experience of hungary," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 26(1), pages 54-65, March.
    2. Luis Gil-Alana & Pedro Mendi, 2005. "Fractional integration in total factor productivity: evidence from US data," Applied Economics, Taylor & Francis Journals, vol. 37(12), pages 1369-1383.

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