IDEAS home Printed from https://ideas.repec.org/a/agr/journl/v1(626)y2021i1(626)p231-238.html
   My bibliography  Save this article

The response of monetary policy to the COVID-19 pandemic in Turkey. The path of a credit-based economic recovery

Author

Listed:
  • Umit BULUT

    (Kirsehir Ahi Evran University, Turkey)

Abstract

The goal of this paper is to investigate the reaction of monetary policy in Turkey to the coronavirus disease pandemic through the credit channel. For this purpose, the paper employs nonlinear smooth transition models considering nonlinearity. The empirical findings show a positive reaction of monetary policy to the confirmed cases and deaths. Therefore, the paper discovers the credit channel in Turkey is likely to play a critical role in the fast recovery of the Turkish economy during the pandemic period.

Suggested Citation

  • Umit BULUT, 2021. "The response of monetary policy to the COVID-19 pandemic in Turkey. The path of a credit-based economic recovery," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(626), S), pages 231-238, Spring.
    • Handle: RePEc:agr:journl:v:1(626):y:2021:i:1(626):p:231-238
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/articole/1528.pdf
    Download Restriction: no
    File URL: http://www.ectap.ro/articol.php?id=1528&rid=142
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 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.
    2. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2003. "Testing for a unit root in the nonlinear STAR framework," Journal of Econometrics, Elsevier, vol. 112(2), pages 359-379, February.
    3. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2006. "Testing For Cointegration In Nonlinear Smooth Transition Error Correction Models," Econometric Theory, Cambridge University Press, vol. 22(2), pages 279-303, April.
    4. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    5. Mnif, Emna & Jarboui, Anis & Mouakhar, Khaireddine, 2020. "How the cryptocurrency market has performed during COVID 19? A multifractal analysis," Finance Research Letters, Elsevier, vol. 36(C).
    6. Azimli, Asil, 2020. "The impact of COVID-19 on the degree of dependence and structure of risk-return relationship: A quantile regression approach," Finance Research Letters, Elsevier, vol. 36(C).
    7. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    8. Rizwan, Muhammad Suhail & Ahmad, Ghufran & Ashraf, Dawood, 2020. "Systemic risk: The impact of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    9. Shehzad, Khurram & Xiaoxing, Liu & Kazouz, Hayfa, 2020. "COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact?," Finance Research Letters, Elsevier, vol. 36(C).
    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. Sanjay Kumar Rout & Hrushikesh Mallick, 2022. "Sovereign Bond Market Shock Spillover Over Different Maturities: A Journey from Normal to Covid-19 Period," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 697-734, December.
    2. Sène, Babacar & Mbengue, Mohamed Lamine & Allaya, Mouhamad M., 2021. "Overshooting of sovereign emerging eurobond yields in the context of COVID-19," Finance Research Letters, Elsevier, vol. 38(C).
    3. Liu, Hao & Yi, Xingjian & Yin, Libo, 2021. "The impact of operating flexibility on firms’ performance during the COVID-19 outbreak: Evidence from China," Finance Research Letters, Elsevier, vol. 38(C).
    4. Le, Trung Hai & Do, Hung Xuan & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021. "Covid-19 pandemic and tail-dependency networks of financial assets," Finance Research Letters, Elsevier, vol. 38(C).
    5. Kocak, Emrah & Bilgili, Faik & Bulut, Umit & Kuskaya, Sevda, 2022. "Is ethanol production responsible for the increase in corn prices?," Renewable Energy, Elsevier, vol. 199(C), pages 689-696.
    6. Pär Österholm, 2005. "The Taylor Rule: A Spurious Regression?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 217-247, July.
    7. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.
    8. Omay, Tolga & Yuksel, Asli & Yuksel, Aydin, 2015. "An empirical examination of the generalized Fisher effect using cross-sectional correlation robust tests for panel cointegration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 18-29.
    9. Maki, Daiki, 2010. "An alternative procedure to test for cointegration in STAR models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 999-1006.
    10. M. E. Bontempi & L. Bottazzi & R. Golinelli, 2015. "Dynamic corporate capital structure behavior: empirical assessment in the light of heterogeneity and non stationarity," Working Papers wp988, Dipartimento Scienze Economiche, Universita' di Bologna.
    11. Njindan Iyke, Bernard, 2015. "On The Term Structure of South African Interest Rates: Cointegration and Threshold Adjustment," MPRA Paper 67681, University Library of Munich, Germany.
    12. Takashi Matsuki, 2016. "Linear and nonlinear comovement in Southeast Asian local currency bond markets: a stepwise multiple testing approach," Empirical Economics, Springer, vol. 51(2), pages 591-619, September.
    13. Faik Bilgili & Emrah Koçak & Sevda Kuşkaya, 2023. "Dynamics and Co-movements Between the COVID-19 Outbreak and the Stock Market in Latin American Countries: An Evaluation Based on the Wavelet-Partial Wavelet Coherence Model," Evaluation Review, , vol. 47(4), pages 630-652, August.
    14. Feipeng Zhang & Yun Hong & Yanhui Jiang & Jiayi Yu, 2022. "Impact of national media reporting concerning COVID-19 on stock market in China: empirical evidence from a quantile regression," Applied Economics, Taylor & Francis Journals, vol. 54(33), pages 3861-3881, July.
    15. Bernard Njindan Iyke, 2017. "On the term structure of South African interest rates: cointegration and threshold adjustment," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(4), pages 300-321.
    16. Daiki Maki & Shin-ichi Kitasaka, 2015. "Residual-based tests for cointegration with three-regime TAR adjustment," Empirical Economics, Springer, vol. 48(3), pages 1013-1054, May.
    17. Tran, Yen & Vu, Huong & Klusak, Patrycja & Kraemer, Moritz & Hoang, Tri, 2021. "Sovereign credit ratings during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 78(C).
    18. Haug Alfred A & Siklos Pierre L, 2006. "The Behavior of Short-Term Interest Rates: International Evidence of Non-Linear Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-34, December.
    19. Tsangyao Chang & Wen-Chi Liu, 2008. "Rational Bubbles in the Korea Stock Market? Further Evidence based on Nonlinear and Nonparametric Cointegration Tests," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-12.
    20. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).

    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:agr:journl:v:1(626):y:2021:i:1(626):p:231-238. 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: Marin Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.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.