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A Matlab program and user’s guide for the fractionally cointegrated VAR model

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  • ßrregaard Nielsen, Morten
  • Ksawery Popiel, MichaÅC

Abstract

This manual describes the usage of the accompanying freely available Matlab program for estimation and testing in the fractionally cointegrated vector autoregressive (FCVAR) model. This program replaces an earlier Matlab program by Nielsen and Morin (2014), and although the present Matlab program is not compatible with the earlier one, we encourage use of the new program.

Suggested Citation

  • ßrregaard Nielsen, Morten & Ksawery Popiel, MichaÅC, 2018. "A Matlab program and user’s guide for the fractionally cointegrated VAR model," Queen's Economics Department Working Papers 274656, Queen's University - Department of Economics.
    • Handle: RePEc:ags:quedwp:274656
    DOI: 10.22004/ag.econ.274656
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    Cited by:

    1. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    2. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. Søren Johansen & Morten Ørregaard Nielsen, 2018. "Testing the CVAR in the Fractional CVAR Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 836-849, November.
    4. Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
    5. Popiel Michal Ksawery, 2017. "Interest rate pass-through: a nonlinear vector error-correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-20, December.
    6. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    7. Yaya, OlaOluwa S. & Ogbonna, Ahamuefula E. & Olubusoye, Olusanya E., 2019. "How persistent and dynamic inter-dependent are pricing of Bitcoin to other cryptocurrencies before and after 2017/18 crash?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    8. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2022. "The Zonal and Seasonal CO2 Marginal Emissions Factors for the Italian Power Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 381-411, October.
    9. Masoud Ataei & Shengyuan Chen & Zijiang Yang & M. Reza Peyghami, 2021. "Theory and Applications of Financial Chaos Index," Papers 2101.02288, arXiv.org.
    10. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    11. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    12. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.

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