IDEAS home Printed from https://ideas.repec.org/a/ags/pdcbeh/264628.html
   My bibliography  Save this article

Long memory features and relationship stability of Asia-Pacific currencies against USD

Author

Listed:
  • Sankarkumar, Amirdha Vasani
  • Selvam, Murugesan
  • Maniam, Balasundram
  • Sigo, Marxia Oli

Abstract

This research study examines the behavior of currency rate, long memory features, and longterm stability in the returns of thirteen Asia-Pacific currencies (AUD, CNY, HKD, INR, IDR, JPY, KRW, MYR, NZD, PHP, SGD, TWD, and THB) against USD over a period of fourteen years (from 2nd January 2001 to 10th December 2014). The study uses descriptive statistics, ADF and PP test, Hurst exponent cointegration model, and figures to investigate the normality, stationarity, long memory features, and longterm relationship stability of sample currencies against USD. This study determined the values of the Hurst Exponent for the first window with 1,000 observations and the second window with 2,500 observations. This study provides significant evidence for the presence of long memory features and relationship stability. The findings of this study would help investors, exchange rate trade policy makers, exporters, and importers to make decisions on the investment, export, and import of goods and services.

Suggested Citation

  • Sankarkumar, Amirdha Vasani & Selvam, Murugesan & Maniam, Balasundram & Sigo, Marxia Oli, 2017. "Long memory features and relationship stability of Asia-Pacific currencies against USD," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(1).
  • Handle: RePEc:ags:pdcbeh:264628
    DOI: 10.22004/ag.econ.264628
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/264628/files/201709251419_07_BEH_Vol13_Issue1_2017_Vasani-Sankarkumar_et_al_Long_memory_features_and_relationship_stability_currencies_pp.97-109.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/264628/files/201709251419_07_BEH_Vol13_Issue1_2017_Vasani-Sankarkumar_et_al_Long_memory_features_and_relationship_stability_currencies_pp.97-109.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.264628?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dimitrios Vougas, 2004. "Analysing long memory and volatility of returns in the Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 457-460.
    2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    3. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2014. "Structural breaks and long memory in modeling and forecasting volatility of foreign exchange markets of oil exporters: The importance of scheduled and unscheduled news announcements," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 101-119.
    4. Macide Cicek, 2014. "A Cointegration Test for Turkish Foreign Exchange Market Efficiency," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 451-471, April.
    5. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    6. Choudhri, Ehsan U. & Hakura, Dalia S., 2015. "The exchange rate pass-through to import and export prices: The role of nominal rigidities and currency choice," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 1-25.
    7. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Testing for time-varying long-range dependence in volatility for emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 577-588.
    8. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2012. "Asymmetric effects and long memory in dynamic volatility relationships between stock returns and exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 738-757.
    9. Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
    10. Inci, Ahmet Can, 2006. "Co-integrating currencies and yield differentials," Review of Financial Economics, Elsevier, vol. 15(2), pages 159-175.
    11. Baffes, John & Shah, Anwar, 1994. "Causality and comovement between taxes and expenditures: Historical evidence from Argentina, Brazil, and Mexico," Journal of Development Economics, Elsevier, vol. 44(2), pages 311-331, August.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. Hyun Jin & Darren Frechette, 2004. "A new t-test for the R/S analysis and long memory in agricultural commodity prices," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 661-667.
    14. 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.
    15. Huang, Zhuo & Liu, Hao & Wang, Tianyi, 2016. "Modeling long memory volatility using realized measures of volatility: A realized HAR GARCH model," Economic Modelling, Elsevier, vol. 52(PB), pages 812-821.
    16. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2013. "Long memory and fractional integration in high frequency data on the US dollar/British pound spot exchange rate," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 1-9.
    17. Hakkio, Craig S. & Rush, Mark, 1989. "Market efficiency and cointegration: an application to the sterling and deutschemark exchange markets," Journal of International Money and Finance, Elsevier, vol. 8(1), pages 75-88, March.
    18. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    19. Copeland, Laurence S, 1991. "Cointegration Tests with Daily Exchange Rate Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(2), pages 185-198, May.
    20. Wang, Yudong & Wu, Chongfeng, 2012. "Long memory in energy futures markets: Further evidence," Resources Policy, Elsevier, vol. 37(3), pages 261-272.
    21. Hsien-Yi Lee & Khatanbaatar Sodoikhuu, 2012. "Efficiency Tests in Foreign Exchange Market," International Journal of Economics and Financial Issues, Econjournals, vol. 2(2), pages 216-224.
    22. Mahalingam GAYATHRI & Murugesan SELVAM & Kasilingam LINGARAJA & Vinayagamoorthi VASANTH & Venkatraman KARPAGAM, 2013. "Fractal Dimension of S&P CNX Nifty Stock Returns," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(9), pages 1166-1190.
    Full references (including those not matched with items on IDEAS)

    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. Kühl, Michael, 2007. "Cointegration in the foreign exchange market and market efficiency since the introduction of the Euro: Evidence based on bivariate cointegration analyses," University of Göttingen Working Papers in Economics 68, University of Goettingen, Department of Economics.
    2. Kühl, Michael, 2010. "Bivariate cointegration of major exchange rates, cross-market efficiency and the introduction of the Euro," Journal of Economics and Business, Elsevier, vol. 62(1), pages 1-19, January.
    3. repec:got:cegedp:68 is not listed on IDEAS
    4. Macide Cicek, 2014. "A Cointegration Test for Turkish Foreign Exchange Market Efficiency," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 451-471, April.
    5. Sensoy, Ahmet & Hacihasanoglu, Erk, 2014. "Time-varying long range dependence in energy futures markets," Energy Economics, Elsevier, vol. 46(C), pages 318-327.
    6. Hull, Matthew & McGroarty, Frank, 2014. "Do emerging markets become more efficient as they develop? Long memory persistence in equity indices," Emerging Markets Review, Elsevier, vol. 18(C), pages 45-61.
    7. Sabuhoro, Jean Bosco & Larue, Bruno, 1997. "The market efficiency hypothesis: The case of coffee and cocoa futures," Agricultural Economics, Blackwell, vol. 16(3), pages 171-184, August.
    8. Montserrat Ferre & Stephen Hall, 2002. "Foreign exchange market efficiency and cointegration," Applied Financial Economics, Taylor & Francis Journals, vol. 12(2), pages 131-139.
    9. J Fedderke & Michelle Joao, 2001. "Arbitrage, Cointegration And Efficiency In Financial Markets In The Presence Of Financial Crises," South African Journal of Economics, Economic Society of South Africa, vol. 69(3), pages 366-384, September.
    10. John P. Lajaunie & Atsuyuki Naka, 1992. "Is The Tokyo Spot Foreign Exchange Market Consistent With The Efficient Market Hypothesis?," Review of Financial Economics, John Wiley & Sons, vol. 2(1), pages 68-74, September.
    11. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 23-42, March.
    12. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    13. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    14. Heejoon Kang, 2004. "Inappropriate Detrending and Spurious Cointegration," Econometric Society 2004 Far Eastern Meetings 624, Econometric Society.
    15. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
    16. dos Santos Maciel, Leandro, 2023. "Brazilian stock-market efficiency before and after COVID-19: The roles of fractality and predictability," Global Finance Journal, Elsevier, vol. 58(C).
    17. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    18. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    19. Tswei, Keshin, 2013. "Is transaction price more value relevant compared to accounting information? An investigation of a time-series approach," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1062-1078.
    20. Rim Ammar Lamouchi, 2020. "Long Memory and Stock Market Efficiency: Case of Saudi Arabia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 29-34.
    21. Jebabli, Ikram & Roubaud, David, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Economic Modelling, Elsevier, vol. 70(C), pages 97-114.

    More about this item

    Keywords

    Financial Economics; International Development;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East

    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:ags:pdcbeh:264628. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/pradecz.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.