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Dergiler / Central Bank Review / 2020 / Cilt: 20 - Sayı: 2

Uncertainty, macroprudential policies and corporate leverage: Firm-level evidence

Ibrahim YARBA
Z. Nuray GÜNER
Sayfa
33–42
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Most strikingly, this is the case only for Small andMedium-Sized Enterprises but not for large firms.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This paper investigates the impact of macroprudential policies and uncertainty of economic environmenton corporate leverage dynamics over the last decade.
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Temel Bulgular & Veri:In that sense, we construct a measure of uncertainty by using principal component analysis and a measure of persistence of uncertainty for Turkey.Results from the dynamic panel models with a large set of control variables, provide significant evidencein support of the argument that leverage decisions are affected from the persistence of uncertainty ratherthan the uncertainty itself.
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Sonuç & Katkı:Most strikingly, this is the case only for Small andMedium-Sized Enterprises but not for large firms.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

This paper investigates the impact of macroprudential policies and uncertainty of economic environmenton corporate leverage dynamics over the last decade. This is the first study to investigate the impact ofmacroprudential policies and uncertainty on leverage dynamics of Turkish non-financial firms usingfirm-level data. We argue in this paper that persistence of uncertainty should be a more appropriatefactor affecting credit dynamics rather than uncertainty. In that sense, we construct a measure of uncertainty by using principal component analysis and a measure of persistence of uncertainty for Turkey.Results from the dynamic panel models with a large set of control variables, provide significant evidencein support of the argument that leverage decisions are affected from the persistence of uncertainty ratherthan the uncertainty itself. Moreover, both the share of the financial debt in total liabilities and theleverage of Turkish non-financial firms decrease significantly when uncertainty increases persistentlyand when macroprudential policy tools are tightened. Most strikingly, this is the case only for Small andMedium-Sized Enterprises but not for large firms.

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Bu Makaleye Atıf Yap

YARBA, I., GÜNER, Z. N. (2020). Uncertainty, macroprudential policies and corporate leverage: Firm-level evidence. Central Bank Review, Cilt: 20 - Sayı: 2, 33–42. https://ajindex.com/articles/351808

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Kaynakça (15)

  1. Akıncı, O., Olmstead-Rumsey, J., 2015. How effective are macroprudential policies? An Empirical Investigation. Int. Finance Discuss. Pap. vol. 1136 (Federal Reserve Board). Anderson, T.W., Hsiao, C., 1981. Estimation of dynamic models with error compo nents. J. Am. Stat. Assoc. 76, 598-606.
  2. Anderson, T.W., Hsiao, C., 1982. Formulation and estimation of dynamic models using panel data. J. Econom. 18, 47-82.
  3. Arellano, M., Bond, S.R., 1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev. Econ. Stud. 58, 227-297.
  4. Arellano, M., Bover, O., 1995. Another look at the instrumental variable estimation of error components models. J. Econom. 68, 29-51.
  5. Bachmann, R., Steffen, E., Eric, R.S., 2013. Uncertainty and economic activity: evi dence from business survey data. Am. Econ. J. Macroecon. 5 (2), 217-249.
  6. Bahaj, S., Foulis, A., 2016. Macroprudential policy under uncertainty. In: Staff Working Paper 584. Bank of England. Baker, S.R., Bloom, N., Davis, S., 2016. Measuring economic policy uncertainty. Q. J. Econ. 131, 1593-1636.
  7. Baltagi, B.H., 2008. Econometric Analysis of Panel Data. John Wiley and Sons, West Sussex. Bekaert, G., Marie, H., Marco, L.D., 2013. Risk, uncertainty and monetary policy. J. Monetary Econ. 60 (7), 771-788.
  8. Bernanke, B.S., 1983. Irreversibility, uncertainty, and cyclical investment. Q. J. Econ. (96), 85-106.
  9. Bhattacharya, U., Hsu, P., Tian, X., Xu, Y., 2017. What affects innovation more: policy or policy uncertainty? J. Financ. Quant. Anal. 1-33.
  10. Bloom, N., 2009. The impact of uncertainty shocks. Econometrica 77, 623-685.
  11. Bloom, N., 2014. Fluctuations in uncertainty. J. Econ. Perspect. 28, 153-176.
  12. Bloom, N., Bond, S., Reenen, J.V., 2007. Uncertainty and investment dynamics. Rev. Financ. Stud. 74 (2), 391-415.
  13. Blundell, R.W., Bond, S.R., 1998. Initial conditions and moment restrictions in dy namic panel data models. J. Econom. 87, 115-143.
  14. Brainard, W., 1967. Uncertainty and the effectiveness of policy. Am. Econ. Rev. 57 (2), 411-425.
  15. Brogaard, J., Detzel, A., 2012. The Asset Pricing Implications of Government Eco nomic Policy Uncertainty. University of Washington Working Paper. Brunnermeier, M.K., Goodhart, C., Crocket, A., Persaud, A., Shin, H., 2009. The Fundamental Principles of Financial Regulation: 11th Geneva Report on the World Economy. CEPR/ICMB, Geneva. Bruno, V., Shim, I., Shin, H.S., 2015. Comparative assessment of macroprudential policies. Bank Int. Settlements Work.