IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/20319.html
   My bibliography  Save this paper

Does currency substitution affect exchange rate uncertainty? the case of Turkey

Author

Listed:
  • Levent, Korap

Abstract

In this paper, we investigate whether the currency substitution can affect the exchange rate uncertainty for the Turkish economy. Considering the whole time period 1987M01-2006M12 as well as thesub-periods 1987M01-1999M12 and 2001M03-2006M12 for sensitivity analysis, our estimation results employing contemporaneous exponential GARCH (EGARCH) methodology of Nelson (1991) indicate that currency substitution leads to the exchange rate uncertainty. Besides, conditional variance reacts more to past positive shocks than to negative innovations of equal size.

Suggested Citation

  • Levent, Korap, 2007. "Does currency substitution affect exchange rate uncertainty? the case of Turkey," MPRA Paper 20319, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:20319
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/20319/1/MPRA_paper_20319.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    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.
    3. Domac, Ilker & Mendoza, Alfonso, 2004. "Is there room for foreign exchange interventions under an inflation targeting framework ? Evidence from Mexico and Turkey," Policy Research Working Paper Series 3288, The World Bank.
    4. Alberto Giovannini & Bart Turtelboom, 1992. "Currency Substitution," NBER Working Papers 4232, National Bureau of Economic Research, Inc.
    5. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    6. Akcay, O. Cevdet & Alper, C. Emre & Karasulu, Meral, 1997. "Currency substitution and exchange rate instability: The Turkish case," European Economic Review, Elsevier, vol. 41(3-5), pages 827-835, April.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Calvo, Guillermo & Vegh, Carlos, 1992. "Currency Substitution in Developing Countries: An Introduction," MPRA Paper 20338, University Library of Munich, Germany.
    9. Faruk Seļuk, 1997. "GMM estimation of currency substitution in a high-inflation economy: evidence from Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 4(4), pages 225-227.
    10. Ilker Domac & Mohsen Bahmani-Oskooee, 2002. "between Dollarization and Inflation : Evidence from Turkey," Discussion Papers 0207, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Choudhry, Taufiq, 1995. "High inflation rates and the long-run money demand function: Evidence from cointegration tests," Journal of Macroeconomics, Elsevier, vol. 17(1), pages 77-91.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eco:journ1:2014-03-01 is not listed on IDEAS
    2. Hisao Kumamoto & Masao Kumamoto, 2014. "Does Currency Substitution Affect Exchange Rate Volatility?," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 698-704.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Levent, Korap, 2008. "Asymmetric information content of the YTL/US$ exchange rate return: new evidence from the post-crisis data using arma-egarch-m modeling," MPRA Paper 19631, University Library of Munich, Germany.
    2. He, Changli & Teräsvirta, Timo, 1999. "Higher-order dependence in the general Power ARCH process and a special case," SSE/EFI Working Paper Series in Economics and Finance 315, Stockholm School of Economics.
    3. Ender Su & John Bilson, 2011. "Trading asymmetric trend and volatility by leverage trend GARCH in Taiwan stock index," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3891-3905.
    4. Rituparna Sen & Pulkit Mehrotra, 2016. "Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 137-150, June.
    5. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2010. "Option pricing for GARCH-type models with generalized hyperbolic innovations," Post-Print halshs-00469529, HAL.
    6. Chalamandaris, Georgios & Rompolis, Leonidas S., 2012. "Exploring the role of the realized return distribution in the formation of the implied volatility smile," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1028-1044.
    7. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    8. Dogus Emin, 2016. "Effects of Global Incidents on Dynamic Correlations of Emerging European Countries," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(1), pages 1-23.
    9. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    10. Stavros Stavroyiannis, 2017. "A note on the Nelson Cao inequality constraints in the GJR-GARCH model: Is there a leverage effect?," Papers 1705.00535, arXiv.org.
    11. Turan Bali & Panayiotis Theodossiou, 2007. "A conditional-SGT-VaR approach with alternative GARCH models," Annals of Operations Research, Springer, vol. 151(1), pages 241-267, April.
    12. Sheriffdeen A. Tella & Olumuyiwa G. Yinusa & Ayinde Taofeek Olusola & Saban Celik, 2011. "Global Economic Crisis And Stock Markets Efficiency: Evidence From Selected Africa Countries," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 25(1), pages 139-169.
    13. Výrost, Tomáš & Baumöhl, Eduard, 2009. "Asymmetric GARCH and the financial crisis: a preliminary study," MPRA Paper 27939, University Library of Munich, Germany.
    14. Muhammad Sheraz & Imran Nasir, 2021. "Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach," Risks, MDPI, vol. 9(5), pages 1-20, May.
    15. Meriem Rjiba & Michail Tsagris & Hedi Mhalla, 2015. "Bootstrap for Value at Risk Prediction," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(6), pages 362-371.
    16. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    17. Asuka Takeuchi-Nogimori, 2012. "An Empirical Analysis of the Nikkei 225 Put Options Using Realized GARCH Models," Global COE Hi-Stat Discussion Paper Series gd12-241, Institute of Economic Research, Hitotsubashi University.
    18. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    19. Xin Chen & Zhangming Shan & Decai Tang & Biao Zhou & Valentina Boamah, 2023. "Interest rate risk of Chinese commercial banks based on the GARCH-EVT model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    20. Krzysztof DRACHAL, 2017. "Volatility Clustering, Leverage Effects and Risk-Return Tradeoff in the Selected Stock Markets in the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-53, September.

    More about this item

    Keywords

    Exchange rate ; dollarization ; currency substitution ; inflation ; exponential GARCH models ; conditional variance ; leverage effect ; Turkish economy ;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:20319. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.