IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/2482.html
   My bibliography  Save this paper

The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets

Author

Listed:
  • Cifter, Atilla
  • Ozun, Alper

Abstract

This paper proposes a powerful methodology wavelet networks to investigate the effects of international F/X markets on emerging markets currencies. We used EUR/USD parity as input indicator (international F/X markets) and three emerging markets currencies as Brazilian Real, Turkish Lira and Russian Ruble as output indicator (emerging markets currency). We test if the effects of international F/X markets change across different timescale. Using wavelet networks, we showed that the effects of international F/X markets increase with higher timescale. This evidence shows that the causality of international F/X markets on emerging markets should be tested based on 64-128 days effect. We also find that the effects of EUR/USD parity on Turkish Lira is higher on 17-32 days and 65-128 days scales and this evidence shows that Turkish lira is less stable compare to other emerging markets currencies as international F/X markets effects Turkish lira on shorten time scale.

Suggested Citation

  • Cifter, Atilla & Ozun, Alper, 2007. "The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets," MPRA Paper 2482, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:2482
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/2482/1/MPRA_paper_2482.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    4. J-F. Muzy & D. Sornette & J. delour & A. Arneodo, 2001. "Multifractal returns and hierarchical portfolio theory," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 131-148.
    5. Muller, Ulrich A. & Dacorogna, Michel M. & Dave, Rakhal D. & Olsen, Richard B. & Pictet, Olivier V. & von Weizsacker, Jacob E., 1997. "Volatilities of different time resolutions -- Analyzing the dynamics of market components," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 213-239, June.
    6. 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.
    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. Cifter Atilla & Ozun Alper, 2008. "Estimating the Effects of Interest Rates on Share Prices in Turkey Using a Multi-Scale Causality Test," Review of Middle East Economics and Finance, De Gruyter, vol. 4(2), pages 68-79, April.
    2. Tiwari, Aviral Kumar, 2012. "Decomposing Time-Frequency Relationship between Interest Rates and Share Prices in India through Wavelets," MPRA Paper 39693, University Library of Munich, Germany.

    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. Phylaktis, Kate & Chen, Long, 2009. "Price discovery in foreign exchange markets: A comparison of indicative and actual transaction prices," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 640-654, September.
    2. Sulaiman, Saidu & Masih, Mansur, 2017. "Is liberalizing finance the game in town for Nigeria ?," MPRA Paper 95569, University Library of Munich, Germany.
    3. Maparu, Tuhin Subhra & Mazumder, Tarak Nath, 2017. "Transport infrastructure, economic development and urbanization in India (1990–2011): Is there any causal relationship?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 319-336.
    4. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.
    5. Marco G. Ercolani & Zheng Wei, 2010. "An Empirical Analysis of the Lewis-Ranis-FEi Theory of Dualistic Economic Development for China," Discussion Papers 10-06, Department of Economics, University of Birmingham.
    6. Esther Stroe-Kunold & Joachim Werner, 2009. "A drunk and her dog: a spurious relation? Cointegration tests as instruments to detect spurious correlations between integrated time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(6), pages 913-940, November.
    7. Gogas, Periklis & Plakandaras, Vasilios & Papadimitriou, Theophilos, 2014. "Public debt and private consumption in OECD countries," The Journal of Economic Asymmetries, Elsevier, vol. 11(C), pages 1-7.
    8. Andriamanga, Fidimanantsoa, 2017. "Relation entre l’énergie et la croissance économique : approche empirique appliquée au cas de Madagascar pour la periode 1995 à 2015 [Relationship between energy consumption and economic growth in ," MPRA Paper 82967, University Library of Munich, Germany.
    9. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    10. Mohammad Jaforullah & Alan King, 2015. "is New Zealand's economy vulnerable to world oil market shocks?," Working Papers 1503, University of Otago, Department of Economics, revised Mar 2015.
    11. Bahta, Y.T. & Lombard, W.A. & Jordaan, H., 2022. "The Effect Of Monetary Policy On Agricultural Production Of South Africa," Agricultural Economics Society (AES) 98th Annual Conference, The University of Edinburgh, Edinburgh, UK, March 18-20, 2024 345997, Agricultural Economics Society (AES).
    12. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    13. Korhan Gokmenoglu & Siamand Hesami, 2019. "Real estate prices and stock market in Germany: analysis based on hedonic price index," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 687-707, April.
    14. Haider Hassan Itoo & Mohammad Asif & Nazim Ali & Md Abusaad, 2024. "Wagner’s law revisited: investigating the asymmetric relationship between national income and public expenditure in India," SN Business & Economics, Springer, vol. 4(10), pages 1-20, October.
    15. Khan, Asad Ul Islam & Shahbaz, Muhammad & Napari, Ayuba, 2023. "Subsample stability, change detection and dynamics of oil and metal markets: A recursive approach," Resources Policy, Elsevier, vol. 83(C).
    16. Anupam Das & Murshed Chowdhury, 2019. "Macroeconomic impacts of remittances in Bangladesh: The role of reverse flows," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(3), November.
    17. Dimitrios Koutmos, 2018. "Interdependencies between CDS spreads in the European Union: Is Greece the black sheep or black swan?," Annals of Operations Research, Springer, vol. 266(1), pages 441-498, July.
    18. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
    19. Michael Artis & Massimiliano Marcellino, "undated". "Fiscal Solvency and Fiscal Forecasting in Europe," Working Papers 142, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    20. David B. Stephenson & Alemtsehai A. Turasie & Donald P. Cummins, 2023. "More Accurate Climate Trend Attribution by Using Cointegrating Vector Time Series Models," Sustainability, MDPI, vol. 15(16), pages 1-18, August.

    More about this item

    Keywords

    F/X Markets; Emerging markets; Wavelet networks; Wavelets; Neural networks;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:2482. 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.