IDEAS home Printed from https://ideas.repec.org/a/tuz/journl/v21y2023i1p3-24.html

Oil Prices And Their Long-Term Relationship With Macroeconomic And Financial Indicators

Author

Listed:
  • Vesna Bucevska

    (Ss. Cyril and Methodius University in Skopje, Faculty of Economics-Skopje, Republic of North Macedonia)

  • Borjan Gjelevski

    (POLIMI Graduate School of Management, Italy)

  • Lea Matevska

    (Ss. Cyril and Methodius University in Skopje, Faculty of Economics-Skopje, Republic of North Macedonia)

Abstract

The objective of this paper is to find out whether there is a long-term relationship or in other words cointegration, between the prices of oil futures and the following factors: the consumer price index (CPI), the exchange rate of the USD to the EUR, the prices of gold, and the price of Bitcoin. This research was conducted using monthly data, extracted from both Refinitiv and Yahoo Finance, in the period 2014-2022. In order to find the cointegrating relationship between the above mentioned variables, the Johansen test was used, after which, the Vector Error Correction Model (VECM) system was composed to formulate a set of equations that explain all the variables. The results of this research show that only one cointegrating relationship exists between the previously mentioned variables. Namely, in a state of long-term equilibrium, only the prices of gold have a statistically significant effect on oil prices.

Suggested Citation

  • Vesna Bucevska & Borjan Gjelevski & Lea Matevska, 2023. "Oil Prices And Their Long-Term Relationship With Macroeconomic And Financial Indicators," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 21(1), pages 3-24, May.
    • Handle: RePEc:tuz:journl:v:21:y:2023:i:1:p:3-24
    as

    Download full text from publisher

    File URL: http://ef.untz.ba/wp-content/uploads/2023/12/1_ER_MAY_2023_DOI_pp.3_24.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lütkepohl, Helmut & Poskitt, D.S., 1991. "Estimating Orthogonal Impulse Responses via Vector Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 7(4), pages 487-496, December.
    2. McNees, Stephen K, 1986. "Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 5-15, January.
    3. Caferra, Rocco & Vidal-Tomás, David, 2021. "Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    4. Chi-Wei Su & Meng Qin & Ran Tao & Xiaoyan Zhang, 2020. "Is the status of gold threatened by Bitcoin?," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 420-437, January.
    5. McNees, Stephen K, 1986. "Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 1-23, January.
    6. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. repec:cii:cepiei:2012-q3-131-4 is not listed on IDEAS
    9. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Gonzalo, Jesus & Lee, Tae-Hwy, 1998. "Pitfalls in testing for long run relationships," Journal of Econometrics, Elsevier, vol. 86(1), pages 129-154, June.
    11. Seuk Wai Phoong & Siok Kun Sek, 2013. "A Markov Switching Vector Error Correction Model on Oil Price and Gold Price Effect on Stock Market Returns," Information Management and Business Review, AMH International, vol. 5(7), pages 331-336.
    12. Thai-Ha Le & Youngho Chang, 2012. "Oil Price Shocks and Gold Returns," International Economics, CEPII research center, issue 131, pages 71-104.
    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. Jan Jacobs & Albert van der Horst,, 1996. "VAR-ing the economy of the Netherlands," Working Papers 24, Centre for Economic Research, University of Groningen and University of Twente.
    2. Norman J. Morin, 2006. "Likelihood ratio tests on cointegrating vectors, disequilibrium adjustment vectors, and their orthogonal complements," Finance and Economics Discussion Series 2006-21, Board of Governors of the Federal Reserve System (U.S.).
    3. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    4. Gediminas Adomavicius & Jesse Bockstedt & Alok Gupta, 2012. "Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression," Information Systems Research, INFORMS, vol. 23(2), pages 397-417, June.
    5. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Research Discussion Papers 4/1991, Bank of Finland.
    6. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    7. Heejoon Kang, 2004. "Inappropriate Detrending and Spurious Cointegration," Econometric Society 2004 Far Eastern Meetings 624, Econometric Society.
    8. Eleni Constantinou & Avo Kazandjian & Georgios P. Kouretas & Vera Tahmazian, 2008. "Common Stochastic Trends Among The Cyprus Stock Exchange And The Ase, Lse And Nyse," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 327-349, October.
    9. Rapach, David E. & Wohar, Mark E., 2004. "Testing the monetary model of exchange rate determination: a closer look at panels," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 867-895, October.
    10. Eva Liljeblom & Sabur Mollah & Patrik Rotter, 2015. "Do dividends signal future earnings in the Nordic stock markets?," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 493-511, April.
    11. Bergman, Michael, 1996. "International evidence on the sources of macroeconomic fluctuations," European Economic Review, Elsevier, vol. 40(6), pages 1237-1258, June.
    12. Bruce E. Hansen, 2018. "Johansen’s Reduced Rank Estimator Is GMM," Econometrics, MDPI, vol. 6(2), pages 1-9, May.
    13. Pedro José Pérez Vázquez, 2003. "Fuentes de variabilidad en las principales economías occidentales," Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 565-591, September.
    14. Becker, Torbjorn, 1997. "An investigation of Ricardian equivalence in a common trends model," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 405-431, August.
    15. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.
    16. Boswijk, H. Peter & Franses, Philip Hans & van Dijk, Dick, 2010. "Cointegration in a historical perspective," Journal of Econometrics, Elsevier, vol. 158(1), pages 156-159, September.
    17. Ali Anari & James Kolari, 2001. "Stock Prices And Inflation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(4), pages 587-602, December.
    18. Parisa Foroutan & Salim Lahmiri, 2024. "Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    19. Signe Rosenberg, 2015. "The Impact of a Change in Real Estate Value on Private Consumption in Estonia," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 7(2).
    20. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    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:tuz:journl:v:21:y:2023:i:1:p:3-24. 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: Senad Celikovic (email available below). General contact details of provider: https://edirc.repec.org/data/efutzba.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.