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Central bank interventions and jumps in double long memory models of daily exchange rates

  • BEINE, Michel
  • LAURENT, Sébastien

[eng] Transportation costs and monopoly location in presence of regional disparities. . This article aims at analysing the impact of the level of transportation costs on the location choice of a monopolist. We consider two asymmetric regions. The heterogeneity of space lies in both regional incomes and population sizes: the first region is endowed with wide income spreads allocated among few consumers whereas the second one is highly populated however not as wealthy. Among the results, we show that a low transportation costs induces the firm to exploit size effects through locating in the most populated region. Moreover, a small transport cost decrease may induce a net welfare loss, thus allowing for regional development policies which do not rely on inter-regional transportation infrastructures. cost decrease may induce a net welfare loss, thus allowing for regional development policies which do not rely on inter-regional transportation infrastructures. [fre] Cet article développe une statique comparative de l'impact de différents scénarios d'investissement (projet d'infrastructure conduisant à une baisse modérée ou à une forte baisse du coût de transport inter-régional) sur le choix de localisation d'une entreprise en situation de monopole, au sein d'un espace intégré composé de deux régions aux populations et revenus hétérogènes. La première région, faiblement peuplée, présente de fortes disparités de revenus, tandis que la seconde, plus homogène en termes de revenu, représente un marché potentiel plus étendu. On montre que l'hétérogénéité des revenus constitue la force dominante du modèle lorsque le scénario d'investissement privilégié par les politiques publiques conduit à des gains substantiels du point de vue du coût de transport entre les deux régions. L'effet de richesse, lorsqu'il est associé à une forte disparité des revenus, n'incite pas l'entreprise à exploiter son pouvoir de marché au détriment de la région l

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Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers RP with number -1706.

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Handle: RePEc:cor:louvrp:-1706
Note: In : Journal of Empirical Finance, 10, 641-660, 2003
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  1. Christelle Lecourt, 2000. "Dépendance de court et de long terme des rendements de taux de change," Économie et Prévision, Programme National Persée, vol. 146(5), pages 127-137.
  2. 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.
  3. Bonser-Neal, Catherine & Tanner, Glenn, 1996. "Central bank intervention and the volatility of foreign exchange rates: evidence from the options market," Journal of International Money and Finance, Elsevier, vol. 15(6), pages 853-878, December.
  4. Dominguez, Kathryn M. E., 2003. "The market microstructure of central bank intervention," Journal of International Economics, Elsevier, vol. 59(1), pages 25-45, January.
  5. Franses, Philip Hans & Ghijsels, Hendrik, 1999. "Additive outliers, GARCH and forecasting volatility," International Journal of Forecasting, Elsevier, vol. 15(1), pages 1-9, February.
  6. Laurent, Sebastien & Peters, Jean-Philippe, 2002. " G@RCH 2.2: An Ox Package for Estimating and Forecasting Various ARCH Models," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 447-85, July.
  7. Dominguez, Kathryn M., 1998. "Central bank intervention and exchange rate volatility1," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 161-190, February.
  8. 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 229-35, April.
  9. Baillie, Richard T. & Osterberg, William P., 1997. "Why do central banks intervene?," Journal of International Money and Finance, Elsevier, vol. 16(6), pages 909-919, December.
  10. Granger, Clive W.J. & Hyung, Namwon, 1999. "Occasional Structural Breaks and Long Memory," University of California at San Diego, Economics Working Paper Series qt4d60t4jh, Department of Economics, UC San Diego.
  11. Michel Beine & Sébastien Laurent & Christelle Lecourt, 2002. "Accounting for conditional leptokurtosis and closing days effects in FIGARCH models of daily exchange rates," ULB Institutional Repository 2013/10443, ULB -- Universite Libre de Bruxelles.
  12. Beine, Michel & Benassy-Quere, Agnes & Lecourt, Christelle, 2002. "Central bank intervention and foreign exchange rates: new evidence from FIGARCH estimations," Journal of International Money and Finance, Elsevier, vol. 21(1), pages 115-144, February.
  13. Baillie, Richard T. & P. Osterberg, William, 1997. "Central bank intervention and risk in the forward market," Journal of International Economics, Elsevier, vol. 43(3-4), pages 483-497, November.
  14. 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.
  15. Weiss, Andrew A., 1986. "Asymptotic Theory for ARCH Models: Estimation and Testing," Econometric Theory, Cambridge University Press, vol. 2(01), pages 107-131, April.
  16. Nieuwland, Frederick G M C & Verschoor, Willem F C & Wolff, Christian C P, 1994. "Stochastic trends and jumps in EMS exchange rates," Journal of International Money and Finance, Elsevier, vol. 13(6), pages 699-727, December.
  17. Christopher J. Neely, 1998. "Target zones and conditional volatility: the role of realignments," Working Papers 1994-008, Federal Reserve Bank of St. Louis.
  18. Bollerslev, Tim & Engle, Robert F, 1993. "Common Persistence in Conditional Variances," Econometrica, Econometric Society, vol. 61(1), pages 167-86, January.
  19. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
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