IDEAS home Printed from https://ideas.repec.org/p/ris/jhisae/0165.html
   My bibliography  Save this paper

Modelling Exchange-Rate Volatility With Commodity Prices

Author

Listed:
  • Bhaghoe, Sailesh

    (The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise)

  • Ooft, Gavin

    (The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise)

Abstract

This paper estimates a model of exchange-rate volatility that includes commodity prices as an exogenous determinant. We apply this model to the mining-based economy of Suriname. Fluctuations of the exchange rate are detrimental for the economy. This was evident in 2015 and 2016 when the economy of Suriname considerably contracted due to persistent negative commodity price shocks. First, we calibrate higher order General Autoregressive Conditional Heteroscedastic (GARCH) models to model the conditional variances of the exchange rate with available monthly data for the period 1994 to 2019. We obtained useful results from Exponential, Asymmetric, Threshold, Component and combined Mean-GARCH models calibrated with standardized error distributions. Then, we perform in-sample forecasts with the calibrated models for the period 2012 to 2019. Lastly, we select the best-performing models to forecast conditional variances of the exchange rate.

Suggested Citation

  • Bhaghoe, Sailesh & Ooft, Gavin, 2020. "Modelling Exchange-Rate Volatility With Commodity Prices," Studies in Applied Economics 165, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    • Handle: RePEc:ris:jhisae:0165
    as

    Download full text from publisher

    File URL: https://sites.krieger.jhu.edu/iae/files/2020/10/Modelling-Exchange-Rate-Volatility-with-Commodity-Prices.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van der Cruijsen, Carin A.B. & Eijffinger, Sylvester C.W. & Hoogduin, Lex H., 2010. "Optimal central bank transparency," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1482-1507, December.
    2. Chen, Yu-Lun & Gau, Yin-Feng, 2010. "News announcements and price discovery in foreign exchange spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1628-1636, July.
    3. Arize, Augustine C & Osang, Thomas & Slottje, Daniel J, 2000. "Exchange-Rate Volatility and Foreign Trade: Evidence from Thirteen LDC's," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 10-17, January.
    4. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    5. Melvin, Michael & Yin, Xixi, 2000. "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Economic Journal, Royal Economic Society, vol. 110(465), pages 644-661, July.
    6. Ansgar Belke & Daniel Gros, 2002. "Designing EU–US Atlantic Monetary Relations: Exchange Rate Variability and Labour Markets," The World Economy, Wiley Blackwell, vol. 25(6), pages 789-813, June.
    7. Fujiwara, Ippei, 2005. "Is the central bank's publication of economic forecasts influential?," Economics Letters, Elsevier, vol. 89(3), pages 255-261, December.
    8. Love, Ryan & Payne, Richard, 2008. "Macroeconomic News, Order Flows, and Exchange Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 467-488, June.
    9. Baillie, Richard T & Bollerslev, Tim, 2002. "The Message in Daily Exchange Rates: A Conditional-Variance Tale," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 60-68, January.
    10. Martin D. D. Evans & Richard K. Lyons, 2017. "How is Macro News Transmitted to Exchange Rates?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 14, pages 547-596, World Scientific Publishing Co. Pte. Ltd..
    11. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 379-408.
    12. Bouakez, Hafedh & Normandin, Michel, 2010. "Fluctuations in the foreign exchange market: How important are monetary policy shocks?," Journal of International Economics, Elsevier, vol. 81(1), pages 139-153, May.
    13. Aghion, Philippe & Bacchetta, Philippe & Rancière, Romain & Rogoff, Kenneth, 2009. "Exchange rate volatility and productivity growth: The role of financial development," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 494-513, May.
    14. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    15. Engle, Robert F. & White (the late), Halbert (ed.), 1999. "Cointegration, Causality, and Forecasting: Festschrift in Honour of Clive W. J. Granger," OUP Catalogue, Oxford University Press, number 9780198296836.
    16. Bagella, Michele & Becchetti, Leonardo & Hasan, Iftekhar, 2006. "Real effective exchange rate volatility and growth: A framework to measure advantages of flexibility vs. costs of volatility," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1149-1169, April.
    17. Farka, Mira, 2009. "The effect of monetary policy shocks on stock prices accounting for endogeneity and omitted variable biases," Review of Financial Economics, Elsevier, vol. 18(1), pages 47-55, January.
    18. repec:pri:cepsud:161blinder is not listed on IDEAS
    19. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2006. "Transparency, expectations and forecasts," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 1), pages 1-25.
    20. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, September.
    21. Flood, Robert P & Rose, Andrew K, 1999. "Understanding Exchange Rate Volatility without the Contrivance of Macroeconomics," Economic Journal, Royal Economic Society, vol. 109(459), pages 660-672, November.
    22. Martin D. D. Evans & Richard K. Lyons, 2017. "Do Currency Markets Absorb News Quickly?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 12, pages 477-505, World Scientific Publishing Co. Pte. Ltd..
    23. Ehrmann, Michael & Fratzscher, Marcel, 2005. "Exchange rates and fundamentals: new evidence from real-time data," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 317-341, March.
    24. Mussa, Michael, 1979. "Empirical regularities in the behavior of exchange rates and theories of the foreign exchange market," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 11(1), pages 9-57, 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. Weber, Christoph S., 2019. "The effect of central bank transparency on exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 165-181.
    2. Fischer, Andreas M. & Ranaldo, Angelo, 2011. "Does FOMC news increase global FX trading?," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2965-2973, November.
    3. Michael Frömmel & Norbert Kiss M. & Klára Pintér, 2011. "Macroeconomic announcements, communication and order flow on the Hungarian foreign exchange market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 172-188, April.
    4. Paul Hubert, 2015. "The Influence and Policy Signalling Role of FOMC Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(5), pages 655-680, October.
    5. Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.
    6. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
    7. Evans, Kevin P. & Speight, Alan E.H., 2010. "Dynamic news effects in high frequency Euro exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(3), pages 238-258, July.
    8. repec:uts:finphd:39 is not listed on IDEAS
    9. Jitmaneeroj, Boonlert & Lamla, Michael J. & Wood, Andrew, 2019. "The implications of central bank transparency for uncertainty and disagreement," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 222-240.
    10. Dominguez, Kathryn M.E. & Panthaki, Freyan, 2006. "What defines `news' in foreign exchange markets?," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 168-198, February.
    11. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, September.
    12. repec:uts:finphd:38 is not listed on IDEAS
    13. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    14. Yu‐Lun Chen & Yin‐Feng Gau, 2022. "The information effect of order flows in foreign currency futures and spot markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1549-1572, August.
    15. Fei Su, 2018. "Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2018.
    16. Kate Phylaktis & Long Chen, 2010. "Asymmetric information, price discovery and macroeconomic announcements in FX market: do top trading banks know more?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 228-246.
    17. Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
    18. G. C. Montes & L. V. Oliveira & A. Curi & R. T. F. Nicolay, 2016. "Effects of transparency, monetary policy signalling and clarity of central bank communication on disagreement about inflation expectations," Applied Economics, Taylor & Francis Journals, vol. 48(7), pages 590-607, February.
    19. Piccotti, Louis R. & Schreiber, Ben Z., 2020. "Information shares in a two-tier FX market," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 19-35.
    20. Kathryn M. E. Dominguez & Freyan Panthaki, 2007. "The influence of actual and unrequited interventions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 171-200.
    21. Ashima Goyal & Prashant Parab, 2021. "Qualitative and quantitative Central Bank communications and professional forecasts: Evidence from India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-014, Indira Gandhi Institute of Development Research, Mumbai, India.
    22. Paul Hubert, 2015. "ECB Projections as a Tool for Understanding Policy Decisions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 574-587, November.

    More about this item

    Keywords

    Exchange Rate Volatility; GARCH models; Heteroscedasticity;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

    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:ris:jhisae:0165. 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: Steve H. Hanke (email available below). General contact details of provider: https://edirc.repec.org/data/iaejhus.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.