IDEAS home Printed from https://ideas.repec.org/a/spt/stecon/v7y2018i4f7_4_4.html
   My bibliography  Save this article

On the Co-movements between Exchange Rate and Stock Price from Japan: A Multivariate FIGARCH-DCC Approach

Author

Listed:
  • Moussa Wajdi
  • Mgadmi Nidhal
  • Regaïeg Rym

Abstract

This paper aims to investigate the inter-dependence of exchange rate and stock index from Japan. For this purpose, we use a dynamic conditional correlation (DCC) model into a multivariate Fractionally Integrated Exponential GARCH (FIGARCH). Framework takes account long memory and time varying correlations. Our findings reveal time-varying Co-movements evidence, a high persistence of conditional correlation and dynamic correlations revolve around a constant level. The findings support the idea of cross-market hedging and sharing of common information by investors. Â JEL classification numbers: C51, C58, F31, G12.

Suggested Citation

  • Moussa Wajdi & Mgadmi Nidhal & Regaïeg Rym, 2018. "On the Co-movements between Exchange Rate and Stock Price from Japan: A Multivariate FIGARCH-DCC Approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(4), pages 1-4.
    • Handle: RePEc:spt:stecon:v:7:y:2018:i:4:f:7_4_4
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JSEM%2fVol%207_4_4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dimitriou, Dimitrios & Kenourgios, Dimitris, 2013. "Financial crises and dynamic linkages among international currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 319-332.
    2. Yanan Li & David E. Giles, 2015. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 155-177, March.
    3. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2013. "Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 46-56.
    4. 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.
    5. Kenourgios, Dimitris & Padhi, Puja, 2012. "Emerging markets and financial crises: Regional, global or isolated shocks?," Journal of Multinational Financial Management, Elsevier, vol. 22(1), pages 24-38.
    6. 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.
    7. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    8. Dilip Kumar & S. Maheswaran, 2013. "Asymmetric long memory volatility in the PIIGS economies," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 12(1), pages 23-43, February.
    9. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    10. Bollerslev, Tim & Ole Mikkelsen, Hans, 1996. "Modeling and pricing long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July.
    11. 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.
    12. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    13. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    14. Pan, Ming-Shiun & Fok, Robert Chi-Wing & Liu, Y. Angela, 2007. "Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 503-520.
    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. Tripathy, Naliniprava, 2022. "Long memory and volatility persistence across BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).

    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. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    2. Karanasos, Menelaos & Yfanti, Stavroula & Karoglou, Michail, 2016. "Multivariate FIAPARCH modelling of financial markets with dynamic correlations in times of crisis," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 332-349.
    3. Zouheir Mighri & Faysal Mansouri, 2014. "Modeling international stock market contagion using multivariate fractionally integrated APARCH approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-25, December.
    4. Sang Hoon Kang & Ron McIver & Seong-Min Yoon, 2016. "Modeling Time-Varying Correlations in Volatility Between BRICS and Commodity Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(7), pages 1698-1723, July.
    5. Sirine Toumi, 2019. "Co-movements amongst Gold and Oil: A Multivariate Time-Varying Asymmetric Approach," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 9(3-4), pages 52-68.
    6. Wajdi Moussa & Azza Bejaoui & Nidhal Mgadmi, 2021. "Asymmetric Effect and Dynamic Relationships Between Stock Prices and Exchange Rates Volatility," Annals of Data Science, Springer, vol. 8(4), pages 837-859, December.
    7. Riadh El Abed, 2017. "On the Co-movements among East Asian Foreign Exchange Markets: A Multivariate FIAPARCH-DCC approach," Economics Bulletin, AccessEcon, vol. 37(3), pages 2247-2259.
    8. Saker Sabkha & Christian Peretti & Dorra Hmaied, 2019. "The Credit Default Swap market contagion during recent crises: international evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 1-46, July.
    9. Saker Sabkha & Christian De Peretti & Dorra Hmaied, 2017. "The Credit Default Swap market contagion during recent crises: International evidence," Working Papers hal-01572510, HAL.
    10. Liow, Kim Hiang & Song, Jeongseop, 2020. "Dynamic interdependence of ASEAN5 with G5 stock markets," Emerging Markets Review, Elsevier, vol. 45(C).
    11. Dimitriou, Dimitrios & Kenourgios, Dimitris, 2013. "Financial crises and dynamic linkages among international currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 319-332.
    12. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2021. "How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    13. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, July.
    14. Mensi, Walid & Hammoudeh, Shawkat & Kang, Sang Hoon, 2015. "Precious metals, cereal, oil and stock market linkages and portfolio risk management: Evidence from Saudi Arabia," Economic Modelling, Elsevier, vol. 51(C), pages 340-358.
    15. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Al-Jarrah, Idries Mohammad Wanas & Hamdi, Atef & Kang, Sang Hoon, 2019. "Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 104-120.
    16. Zhang, Heng-Guo & Su, Chi-Wei & Song, Yan & Qiu, Shuqi & Xiao, Ran & Su, Fei, 2017. "Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model," Economic Modelling, Elsevier, vol. 67(C), pages 355-367.
    17. Janus, Paweł & Koopman, Siem Jan & Lucas, André, 2014. "Long memory dynamics for multivariate dependence under heavy tails," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 187-206.
    18. Mehmet Sahiner, 2024. "Volatility Spillovers and Contagion During Major Crises: An Early Warning Approach Based on a Deep Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2435-2499, June.
    19. Ben Slimane, Faten & Boubaker, Sabri & Jouini, Jamel, 2020. "Does the Euro–Mediterranean Partnership contribute to regional integration?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 328-348.
    20. Aloui, Chaker & Hammoudeh, Shawkat & Hamida, Hela ben, 2015. "Global factors driving structural changes in the co-movement between sharia stocks and sukuk in the Gulf Cooperation Council countries," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 311-329.

    More about this item

    Keywords

    Exchange rate; Stocks; DCC-FIAPARCH; Japan.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:spt:stecon:v:7:y:2018:i:4:f:7_4_4. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    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.