IDEAS home Printed from https://ideas.repec.org/a/ddj/fserec/y2018p34-42.html

The decline of crude oil price influence on the RON/EUR exchange rate

Author

Listed:
  • Ramona DUMITRIU

    (Dunarea de Jos University of Galati, Romania)

  • Razvan STEFANESCU

    (Dunarea de Jos University of Galati, Romania)

Abstract

This paper approaches the sensitivity to the external turbulences of the crude oil price influence on the exchanges rates from Romania. This country has a particular situation being an importer of the crude oil and an exporter of refined petroleum products. In the last decades, in Romania it was applied a managed float exchange rate regime. We employ a TS-GARCH model to study the relationship between daily values of the crude oil price and the exchange rate of Romanian currency against the euro for four periods: two relative quiet (January 2000 – December 2006 and January 2013 – April 2018) and two turbulent (January 2007 – December 2010 and January 2011 – December 2012). For the two quiet periods we found no impact of the crude oil price on the exchange rate. In the case of period January 2007 – December 2010, in the circumstances of global crisis, the results indicate that an increase of the crude oil price led to the appreciation of the Romanian currency against the euro. For the period January 2011 – December 2012, when the financial markets were affected by the European sovereign debt crisis, we found a significant impact of the crude oil price on the volatility of the exchange rates. The decline of the crude oil price influence on the exchange rates could be explained by the attenuation of the external turbulences but also by the transformations that occurred in the oil industry of Romania.

Suggested Citation

  • Ramona DUMITRIU & Razvan STEFANESCU, 2018. "The decline of crude oil price influence on the RON/EUR exchange rate," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 34-42.
    • Handle: RePEc:ddj:fserec:y:2018:p:34-42
    DOI: 10.26397/RCE206705324
    as

    Download full text from publisher

    File URL: http://www.rce.feaa.ugal.ro/images/stories/RCE2018/Dumitriu_Stefanescu.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26397/RCE206705324?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
    ---><---

    References listed on IDEAS

    as
    1. Olivier J. Blanchard & Jordi Gali, 2007. "The Macroeconomic Effects of Oil Shocks: Why are the 2000s So Different from the 1970s?," NBER Working Papers 13368, National Bureau of Economic Research, Inc.
    2. Tayfur Bayat & Saban Nazlioglu & Selim Kayhan, 2015. "Exchange Rate and Oil Price Interactions in Transition Economies: Czech Republic, Hungary and Poland," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(3), pages 267-285, June.
    3. 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.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Golub, Stephen S, 1983. "Oil Prices and Exchange Rates," Economic Journal, Royal Economic Society, vol. 93(371), pages 576-593, September.
    6. repec:aen:journl:1994v15-04-a02 is not listed on IDEAS
    7. Paul R. Krugman, 1980. "Oil and the Dollar," NBER Working Papers 0554, National Bureau of Economic Research, Inc.
    8. Olivier J. Blanchard & Jordi Galí, 2007. "The Macroeconomic Effects of Oil Price Shocks: Why Are the 2000s so Different from the 1970s?," NBER Chapters, in: International Dimensions of Monetary Policy, pages 373-421, National Bureau of Economic Research, Inc.
    9. repec:bla:jfinan:v:44:y:1989:i:5:p:1115-53 is not listed on IDEAS
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Semei Coronado & Omar Rojas, 2016. "A study of co-movements between oil price, stock index and exchange rate under a cross-bicorrelation perspective: the case of Mexico," Papers 1602.03271, arXiv.org.
    2. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    3. Muhsin Kar & Tayfur Bayat & Selim Kayhan, 2016. "Impacts of Credit Default Swaps on Volatility of the Exchange Rate in Turkey: The Case of Euro," IJFS, MDPI, vol. 4(3), pages 1-18, July.
    4. Giorgio Canarella & WenShwo Fang & Stephen M. Miller & Stephen K. Pollard, 2008. "Is the Great Moderation Ending? UK and US Evidence," Working Papers 0801, University of Nevada, Las Vegas , Department of Economics.
    5. Bruna, Karel & Van Tran, Quang, 2023. "Asymmetric effects of oil price shocks on EUR/USD exchange rate and structural shock decomposition in a BVAR model with sign restriction," Energy Economics, Elsevier, vol. 128(C).
    6. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
    7. Osamah M. Al-Khazali, 2003. "Stock Prices, Inflation, and Output: Evidence from the Emerging Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 2(3), pages 287-314, September.
    8. Chia-Lin Chang & Michael McAleer & Dan Slottje, 2009. "Modelling International Tourist Arrivals and Volatility: An Application to Taiwan," "Marco Fanno" Working Papers 0097, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Balaguer, Jacint & Ripollés, Jordi, 2012. "Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data," Energy Economics, Elsevier, vol. 34(6), pages 2066-2071.
    10. Mensah, Lord & Obi, Pat & Bokpin, Godfred, 2017. "Cointegration test of oil price and us dollar exchange rates for some oil dependent economies," Research in International Business and Finance, Elsevier, vol. 42(C), pages 304-311.
    11. Chia-Lin Chang & Michael Mcaleer, 2009. "Daily Tourist Arrivals, Exchange Rates and Voatility for Korea and Taiwan," Korean Economic Review, Korean Economic Association, vol. 25, pages 241-267.
    12. Poshakwale, Sunil S. & Aquino, Katty Pérez, 2008. "The dynamics of volatility transmission and information flow between ADRs and their underlying stocks," Global Finance Journal, Elsevier, vol. 19(2), pages 187-201.
    13. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    14. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    15. Hanabusa, Kunihiro, 2017. "Japan’s quantitative monetary easing policy: Effect on the level and volatility of yield spreads," Journal of Asian Economics, Elsevier, vol. 53(C), pages 56-66.
    16. Chia-Lin Chang & Michael McAleer & Christine Lim, 2010. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Working Papers in Economics 10/40, University of Canterbury, Department of Economics and Finance.
    17. Deb, Prokash & Dey, Madan M. & Surathkal, Prasanna, 2021. "Fish Price Volatility Dynamics in Bangladesh," 2021 Annual Meeting, August 1-3, Austin, Texas 314077, Agricultural and Applied Economics Association.
    18. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    19. Shi Chen & Cathy Yi-Hsuan Chen & Wolfgang Karl Hardle, 2020. "A first econometric analysis of the CRIX family," Papers 2009.12129, arXiv.org.
    20. Remes, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports 62, VATT Institute for Economic Research.

    More about this item

    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:ddj:fserec:y:2018:p:34-42. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.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.