IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2016-02-35.html
   My bibliography  Save this article

Do Financial Conditions have a Predictive Power on Inflation in Turkey?

Author

Listed:
  • Umit Bulut

    (Department of Economics, Faculty of Economics and Administrative Sciences, Ahi Evran University, Kirsehir 40100, Turkey)

Abstract

This paper aims at examining the causal relationships between financial conditions and inflation in Turkey by employing quarterly data from 2005:Q1 to 2015:Q3. To this end, the paper, first, constructs a financial conditions index (FCI) in Turkey and observes that the FCI can considerably capture the developments in Turkey and in the world. Then, the paper follows unit root tests. Finally, the paper conducts the asymmetric causality test. The asymmetric causality test explores that the FCI and inflation have a predictive power on each other and thus presents valuable information to the Central Bank of the Republic of Turkey (CBRT). Eventually, upon its findings, the paper asserts that the FCI: (i) Should be updated periodically, (ii) should be extended with new financial variables, if necessary, and (iii) should be monitored carefully by the CBRT in order to achieve inflation targets.

Suggested Citation

  • Umit Bulut, 2016. "Do Financial Conditions have a Predictive Power on Inflation in Turkey?," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 621-628.
  • Handle: RePEc:eco:journ1:2016-02-35
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/1879/pdf
    Download Restriction: no

    File URL: http://www.econjournals.com/index.php/ijefi/article/view/1879/pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Charles A. E. Goodhart & Boris Hofmann, 2001. "Asset prices, financial conditions and the transmission of monetary policy," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    2. Matheson, Troy D., 2012. "Financial conditions indexes for the United States and euro area," Economics Letters, Elsevier, vol. 115(3), pages 441-446.
    3. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    4. Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
    5. Angelopoulou, Eleni & Balfoussia, Hiona & Gibson, Heather D., 2014. "Building a financial conditions index for the euro area and selected euro area countries: What does it tell us about the crisis?," Economic Modelling, Elsevier, vol. 38(C), pages 392-403.
    6. Mayes, David G. & Viren , Matti, 2002. "Financial Conditions Indexes," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 55(4), pages 521-550.
    7. 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.
    8. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    9. Strazicich, Mark C. & Lee, Junsoo & Day, Edward, 2004. "Are incomes converging among OECD countries? Time series evidence with two structural breaks," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 131-145, March.
    10. repec:agr:journl:v:4(605):y:2015:i:4(605):p:133-144 is not listed on IDEAS
    11. Krippner, Leo, 2013. "Measuring the stance of monetary policy in zero lower bound environments," Economics Letters, Elsevier, vol. 118(1), pages 135-138.
    12. Stéphanie Guichard & David Turner, 2008. "Quantifying the Effect of Financial Conditions on US Activity," OECD Economics Department Working Papers 635, OECD Publishing.
    13. Miss Nombulelo Gumata & Mr Nir Klein & Mr Eliphas Ndou, 2012. "Working Paper - WP/12/05- A Financial Conditions Index for South Africa," Working Papers 5119, South African Reserve Bank.
    14. Fatih Özatay, 2011. "Merkez Bankası’nın yeni para politikası:İki hedef-üç ara hedef-üç araç," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 26(302), pages 27-43.
    15. repec:agr:journl:v:4(605):y:2015:i:4(605):p:135-146 is not listed on IDEAS
    16. Carolina Osorio & Filiz D Unsal & Runchana Pongsaparn, 2011. "A Quantitative Assessment of Financial Conditions in Asia," IMF Working Papers 11/170, International Monetary Fund.
    17. Milas, Costas & Naraidoo, Ruthira, 2012. "Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 173-189, January.
    18. A. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2012. "Financial Conditions Indices for the Turkish Economy," CBT Research Notes in Economics 1231, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    19. Jan Hatzius & Peter Hooper & Frederic S. Mishkin & Kermit L. Schoenholtz & Mark W. Watson, 2010. "Financial Conditions Indexes: A Fresh Look after the Financial Crisis," NBER Working Papers 16150, National Bureau of Economic Research, Inc.
    20. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2015. "Turkiye icin Finansal Kosullar Endeksi," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 15(3), pages 41-73.
    21. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    22. Giang Ho & Yinqiu Lu, 2013. "A Financial Conditions Index for Poland," IMF Working Papers 13/252, International Monetary Fund.
    23. Erdem Başçı & Hakan Kara, 2011. "Finansal istikrar ve para politikası," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 26(302), pages 9-25.
    24. Umit BULUT, 2015. "The Interest Rate Corridor as a Macroprudential Tool to Mitigate Rapid Growth in Credits: Evidence from Turkey," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(605), W), pages 133-144, Winter.
    25. Nombulelo Gumata & Eliphas Ndou & Nir Klein, 2012. "A Financial Conditions Index for South Africa," IMF Working Papers 12/196, International Monetary Fund.
    26. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    27. Kirsten Thompson & Renee van Eyden & Rangan Gupta, 2013. "Identifying a financial conditions index for South Africa," Working Papers 201333, University of Pretoria, Department of Economics.
    28. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-287, August.
    29. Vítor, Castro, 2011. "Can central banks' monetary policy be described by a linear (augmented) Taylor rule or by a nonlinear rule?," Journal of Financial Stability, Elsevier, vol. 7(4), pages 228-246, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Sualp, M. Nedim, 2016. "How did the US economy react to shale gas production revolution? An advanced time series approach," Energy, Elsevier, vol. 116(P1), pages 963-977.

    More about this item

    Keywords

    The Central Bank of the Republic of Turkey; Financial Conditions Index; Inflation; Asymmetric Causality Test;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:eco:journ1:2016-02-35. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ilhan Ozturk). General contact details of provider: http://www.econjournals.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.