IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/118135.html
   My bibliography  Save this paper

Return and Volatility Connectedness in Foreign Exchange Markets of Sierra Leone

Author

Listed:
  • Johnson, Leroy
  • Osabuohien, Evans

Abstract

The study explores the return and volatility nexus in Sierra Leone Foreign Exchange (Forex) Markets. The exchange rate excessive volatilities have been a serious concern as it translates to propel inflationary pressures and erodes the strength of the currency. The methodology of Diebold and Yilmaz (2012, 2014) indicator of connectedness was employed to unravel the intensity of connectedness among the selected forex markets in Sierra Leone (January 2011- December 2021). The study then uses, Leone/USD, Le/ Euro and Le/Pound sterling official exchange rate from the central bank to measure exchange rate dynamics in the market. The study finds connectedness among the forex markets in Sierra Leone to be highly time-varying and appear to be higher during the period of high depreciation of the Leone which coincides with the period of falling iron-ore and oil prices and domestic economic meltdown of 2014 and 2016, respectively. This shows that, relative to external shocks, connectedness among financial markets is likely to get amplified during the time of domestic turbulence. The paper, therefore portends the build-up of reserves by the Central Bank of Sierra Leone which serves as buffers to contain and assuage internal and external shocks in a timely and efficient manner.

Suggested Citation

  • Johnson, Leroy & Osabuohien, Evans, 2023. "Return and Volatility Connectedness in Foreign Exchange Markets of Sierra Leone," MPRA Paper 118135, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:118135
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/118135/1/Leroy%20Johnson%20%26%20Prof%20Evans_%20RETN%20%26%20VOL%20CONNECT%20IN%20SL%20FX%20MKT_Sierra%20Leone.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Antonakakis, Nikolaos & Vergos, Konstantinos, 2013. "Sovereign bond yield spillovers in the Euro zone during the financial and debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 258-272.
    3. Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin J., 2018. "Financial connectedness of BRICS and global sovereign bond markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 1-16.
    4. Yilmaz, Kamil, 2010. "Return and volatility spillovers among the East Asian equity markets," Journal of Asian Economics, Elsevier, vol. 21(3), pages 304-313, June.
    5. Nguyen, Thu Thuy & Tran, T.N. & Nguyen, V.C., 2020. "Oil price shocks against stock return of oil- and gas-related firms in the economic depression: A new evidence from a copula approach," OSF Preprints 4cm7b, Center for Open Science.
    6. Sensoy, Ahmet & Sobaci, Cihat, 2014. "Effects of volatility shocks on the dynamic linkages between exchange rate, interest rate and the stock market: The case of Turkey," Economic Modelling, Elsevier, vol. 43(C), pages 448-457.
    7. Claeys, Peter & Vašíček, Bořek, 2014. "Measuring bilateral spillover and testing contagion on sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 151-165.
    8. Hakim, Abdul & McAleer, Michael, 2009. "Forecasting conditional correlations in stock, bond and foreign exchange markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2830-2846.
    9. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    10. Sarwar, Suleman & Tiwari, Aviral Kumar & Tingqiu, Cao, 2020. "Analyzing volatility spillovers between oil market and Asian stock markets," Resources Policy, Elsevier, vol. 66(C).
    11. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    12. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    13. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 337-352.
    14. Neharika Sobti, 2018. "Domestic intermarket linkages: measuring dynamic return and volatility connectedness among Indian financial markets," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(4), pages 325-344, December.
    15. Pierre‐Richard Agénor, 2003. "Benefits and Costs of International Financial Integration: Theory and Facts," The World Economy, Wiley Blackwell, vol. 26(8), pages 1089-1118, August.
    16. Jonathan E. Ogbuabor & Anthony Orji & Gladys C. Aneke & Oyun Erdene-Urnukh, 2016. "Measuring the Real and Financial Connectedness of Selected African Economies with the Global Economy," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 364-399, September.
    17. Thu Thuy Nguyen & Van Chien Nguyen & Trong Nguyen Tran & David McMillan, 2020. "Oil price shocks against stock return of oil- and gas-related firms in the economic depression: A new evidence from a copula approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1799908-179, January.
    18. Kal, Süleyman Hilmi & Arslaner, Ferhat & Arslaner, Nuran, 2015. "The dynamic relationship between stock, bond and foreign exchange markets," Economic Systems, Elsevier, vol. 39(4), pages 592-607.
    19. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    20. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    21. Umaid A. Sheikh & Muzaffar Asad & Zahid Ahmed & Umer Mukhtar & David McMillan, 2020. "Asymmetrical relationship between oil prices, gold prices, exchange rate, and stock prices during global financial crisis 2008: Evidence from Pakistan," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1757802-175, January.
    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. Liow, Kim Hiang & Huang, Yuting, 2018. "The dynamics of volatility connectedness in international real estate investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 195-210.
    2. Julián Andrada-Félix & Adrian Fernandez-Perez & Simón Sosvilla-Rivero, 2018. "Fear connectedness among asset classes," Applied Economics, Taylor & Francis Journals, vol. 50(39), pages 4234-4249, August.
    3. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    4. Balash, Vladimir & Faizliev, Alexey, 2024. "Volatility spillovers across Russian oil and gas sector. Evidence of the impact of global markets and extraordinary events," Energy Economics, Elsevier, vol. 129(C).
    5. Fernando Fernández-Rodríguez & Marta Gómez-Puig & Simón Sosvilla-Rivero, 2015. "Financial stress transmission in EMU sovereign bond market volatility: A connectedness analysis," Working Papers del Instituto Complutense de Estudios Internacionales 1501, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    6. Nishimura, Yusaku & Sun, Bianxia, 2018. "The intraday volatility spillover index approach and an application in the Brexit vote," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 241-253.
    7. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
    8. Noureddine Benlagha & Wael Hemrit, 2022. "Does economic policy uncertainty matter to explain connectedness within the international sovereign bond yields?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 1-21, January.
    9. Uddin, Gazi Salah & Yahya, Muhammad & Park, Donghyun & Hedström, Axel & Tian, Shu, 2024. "Bond market spillover networks of ASEAN-4 markets: Is the global pandemic different?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1028-1044.
    10. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Using connectedness analysis to assess financial stress transmission in EMU sovereign bond market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 126-145.
    11. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
    12. Karkowska, Renata & Urjasz, Szczepan, 2021. "Connectedness structures of sovereign bond markets in Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    13. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 337-352.
    14. Badics, Milan Csaba & Huszar, Zsuzsa R. & Kotro, Balazs B., 2023. "The impact of crisis periods and monetary decisions of the Fed and the ECB on the sovereign yield curve network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    15. Wang, Gang-Jin & Xie, Chi & Zhao, Longfeng & Jiang, Zhi-Qiang, 2018. "Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 205-230.
    16. Liew, Ping-Xin & Lim, Kian-Ping & Goh, Kim-Leng, 2022. "The dynamics and determinants of liquidity connectedness across financial asset markets," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 341-358.
    17. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    18. Umut Akovali & Kamil Yilmaz, 2021. "Unconventional Monetary Policy and Bond Market Connectedness in the New Normal," Koç University-TUSIAD Economic Research Forum Working Papers 2101, Koc University-TUSIAD Economic Research Forum.
    19. Billah, Mabruk & Karim, Sitara & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Return and volatility spillovers between energy and BRIC markets: Evidence from quantile connectedness," Research in International Business and Finance, Elsevier, vol. 62(C).
    20. Antonakakis, Nikolaos & Gabauer, David, 2017. "Refined Measures of Dynamic Connectedness based on TVP-VAR," MPRA Paper 78282, University Library of Munich, Germany.

    More about this item

    Keywords

    Connectedness; Foreign Exchange; Return Spillover; Volatility;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:118135. 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.