Long run trends and volatility spillovers in daily exchange rates
Recent evidence has suggested that a model capable of capturing multiple volatility dynamics best describes daily exchange rate volatility. Estimation of a model that can capture long-run and short-run volatility movement also allows issues relating to financial and economic integration between countries to be examined. More specifically, the long-run component for comovement can be examined and spillover effects tested for in mean and volatility, the latter of which is suggestive of policy co-ordination. Using a series of dollar exchange rates supportive evidence is reported of a long-run/short-run decomposition for volatility, and existence of three long-run volatility trends, one for the European series and a trend each for the non-European series. Further, significant volatility spillovers are reported, notably amongst the European series. These results are thus supportive of increased convergence between these economies.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 14 (2004)
Issue (Month): 12 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAFE20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAFE20|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Drost, Feike C & Nijman, Theo E, 1993.
"Temporal Aggregation of GARCH Processes,"
Econometric Society, vol. 61(4), pages 909-927, July.
- Drost, F.C. & Nijman, T.E., 1990. "Temporal Aggregation Of Garch Processes," Papers 9066, Tilburg - Center for Economic Research.
- Drost, F.C. & Nijman, T.E., 1992. "Temporal aggregation of GARCH processes," Discussion Paper 1992-40, Tilburg University, Center for Economic Research.
- Drost, F.C. & Nijman, T.E., 1990. "Temporal aggregation of GARCH processes," Discussion Paper 1990-66, Tilburg University, Center for Economic Research.
- Drost, F.C. & Nijman, T.E., 1992. "Temporal Aggregation of Garch Processes," Papers 9240, Tilburg - Center for Economic Research.
- Drost, F.C. & Nijman, T.E., 1993. "Temporal aggregation of GARCH processes," Other publications TiSEM 0642fb61-c7f4-4281-b484-4, Tilburg University, School of Economics and Management.
- Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
- Lee, Sang-Won & Hansen, Bruce E., 1994. "Asymptotic Theory for the Garch(1,1) Quasi-Maximum Likelihood Estimator," Econometric Theory, Cambridge University Press, vol. 10(01), pages 29-52, March.
- Andrew Harvey & Esther Ruiz & Neil Shephard, 1994. "Multivariate Stochastic Variance Models," Review of Economic Studies, Oxford University Press, vol. 61(2), pages 247-264.
- Nelson, Daniel B & Cao, Charles Q, 1992. "Inequality Constraints in the Univariate GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 229-235, April.
- Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
- Tom Doan, "undated". "RATS programs to replicate Baillie, Bollerslev, Mikkelson FIGARCH results," Statistical Software Components RTZ00009, Boston College Department of Economics.
- John Barkoulas & Christopher Baum, 1997. "A re-examination of the fragility of evidence from cointegration-based tests of foreign exchange market efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 635-643.
- John Barkoulas & Christopher F. Baum, 1996. "A Re-examination of the Fragility of Evidence from Cointegration- Based Tests of Foreign Exchange Market Efficiency," Boston College Working Papers in Economics 311., Boston College Department of Economics.
- Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
- Baillie, R.T. & Bollerslev, T., 1989. "Intra Day And Inter Market Volatility In Foreign Exchange Rates," Papers 8811, Michigan State - Econometrics and Economic Theory.
- Diebold, Francis X & Gardeazabal, Javier & Yilmaz, Kamil, 1994. " On Cointegration and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 49(2), pages 727-735, June.
- Francis X. Diebold & Javier Gardeazabal & Kamil Yilmaz, 1993. "On cointegration and exchange rate dynamics," Working Papers 93-2, Federal Reserve Bank of Philadelphia.
- Hall, S G & Robertson, D & Wickens, M R, 1992. "Measuring Convergence of the EC Economies," The Manchester School of Economic & Social Studies, University of Manchester, vol. 60(0), pages 99-111, Supplemen. Full references (including those not matched with items on IDEAS)